fix: update masonry grid sizing logic and notebook list padding

This commit is contained in:
Sepehr Ramezani
2026-02-14 14:20:32 +01:00
parent a0ffc9043b
commit 8f9031f076
580 changed files with 9789 additions and 42619 deletions

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@@ -16,26 +16,25 @@ You must fully embody this agent's persona and follow all activation instruction
- DO NOT PROCEED to step 3 until config is successfully loaded and variables stored
</step>
<step n="3">Remember: user's name is {user_name}</step>
<step n="4">Load into memory {project-root}/_bmad/core/config.yaml and set variable project_name, output_folder, user_name, communication_language</step>
<step n="5">Remember the users name is {user_name}</step>
<step n="6">ALWAYS communicate in {communication_language}</step>
<step n="7">Show greeting using {user_name} from config, communicate in {communication_language}, then display numbered list of ALL menu items from menu section</step>
<step n="8">STOP and WAIT for user input - do NOT execute menu items automatically - accept number or cmd trigger or fuzzy command match</step>
<step n="9">On user input: Number → execute menu item[n] | Text → case-insensitive substring match | Multiple matches → ask user to clarify | No match → show "Not recognized"</step>
<step n="10">When executing a menu item: Check menu-handlers section below - extract any attributes from the selected menu item (workflow, exec, tmpl, data, action, validate-workflow) and follow the corresponding handler instructions</step>
<step n="4">Always greet the user and let them know they can use `/bmad-help` at any time to get advice on what to do next, and they can combine that with what they need help with <example>`/bmad-help where should I start with an idea I have that does XYZ`</example></step>
<step n="5">Show greeting using {user_name} from config, communicate in {communication_language}, then display numbered list of ALL menu items from menu section</step>
<step n="6">Let {user_name} know they can type command `/bmad-help` at any time to get advice on what to do next, and that they can combine that with what they need help with <example>`/bmad-help where should I start with an idea I have that does XYZ`</example></step>
<step n="7">STOP and WAIT for user input - do NOT execute menu items automatically - accept number or cmd trigger or fuzzy command match</step>
<step n="8">On user input: Number → process menu item[n] | Text → case-insensitive substring match | Multiple matches → ask user to clarify | No match → show "Not recognized"</step>
<step n="9">When processing a menu item: Check menu-handlers section below - extract any attributes from the selected menu item (workflow, exec, tmpl, data, action, validate-workflow) and follow the corresponding handler instructions</step>
<menu-handlers>
<handlers>
<handler type="action">
When menu item has: action="#id" → Find prompt with id="id" in current agent XML, execute its content
When menu item has: action="text" → Execute the text directly as an inline instruction
When menu item has: action="#id" → Find prompt with id="id" in current agent XML, follow its content
When menu item has: action="text" → Follow the text directly as an inline instruction
</handler>
</handlers>
</menu-handlers>
<rules>
<r>ALWAYS communicate in {communication_language} UNLESS contradicted by communication_style.</r>
<r> Stay in character until exit selected</r>
<r> Stay in character until exit selected</r>
<r> Display Menu items as the item dictates and in the order given.</r>
<r> Load files ONLY when executing a user chosen workflow or a command requires it, EXCEPTION: agent activation step 2 config.yaml</r>
</rules>

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@@ -1,7 +1,7 @@
# CORE Module Configuration
# Generated by BMAD installer
# Version: 6.0.0-alpha.23
# Date: 2026-01-18T13:25:57.038Z
# Version: 6.0.0-Beta.8
# Date: 2026-02-12T20:48:56.052Z
user_name: Ramez
communication_language: French

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@@ -0,0 +1,9 @@
module,phase,name,code,sequence,workflow-file,command,required,agent,options,description,output-location,outputs
core,anytime,Brainstorming,BSP,,_bmad/core/workflows/brainstorming/workflow.md,bmad-brainstorming,false,analyst,,"Generate diverse ideas through interactive techniques. Use early in ideation phase or when stuck generating ideas.",{output_folder}/brainstorming/brainstorming-session-{{date}}.md,,
core,anytime,Party Mode,PM,,_bmad/core/workflows/party-mode/workflow.md,bmad-party-mode,false,party-mode facilitator,,"Orchestrate multi-agent discussions. Use when you need multiple agent perspectives or want agents to collaborate.",,
core,anytime,bmad-help,BH,,_bmad/core/tasks/help.md,bmad-help,false,,,"Get unstuck by showing what workflow steps come next or answering BMad Method questions.",,
core,anytime,Index Docs,ID,,_bmad/core/tasks/index-docs.xml,bmad-index-docs,false,,,"Create lightweight index for quick LLM scanning. Use when LLM needs to understand available docs without loading everything.",,
core,anytime,Shard Document,SD,,_bmad/core/tasks/shard-doc.xml,bmad-shard-doc,false,,,"Split large documents into smaller files by sections. Use when doc becomes too large (>500 lines) to manage effectively.",,
core,anytime,Editorial Review - Prose,EP,,_bmad/core/tasks/editorial-review-prose.xml,bmad-editorial-review-prose,false,,,"Review prose for clarity, tone, and communication issues. Use after drafting to polish written content.",report located with target document,"three-column markdown table with suggested fixes",
core,anytime,Editorial Review - Structure,ES,,_bmad/core/tasks/editorial-review-structure.xml,bmad-editorial-review-structure,false,,,"Propose cuts, reorganization, and simplification while preserving comprehension. Use when doc produced from multiple subprocesses or needs structural improvement.",report located with target document,
core,anytime,Adversarial Review (General),AR,,_bmad/core/tasks/review-adversarial-general.xml,bmad-review-adversarial-general,false,,,"Review content critically to find issues and weaknesses. Use for quality assurance or before finalizing deliverables. Code Review in other modules run this automatically, but its useful also for document reviews",,
1 module phase name code sequence workflow-file command required agent options description output-location outputs
2 core anytime Brainstorming BSP _bmad/core/workflows/brainstorming/workflow.md bmad-brainstorming false analyst Generate diverse ideas through interactive techniques. Use early in ideation phase or when stuck generating ideas. {output_folder}/brainstorming/brainstorming-session-{{date}}.md
3 core anytime Party Mode PM _bmad/core/workflows/party-mode/workflow.md bmad-party-mode false party-mode facilitator Orchestrate multi-agent discussions. Use when you need multiple agent perspectives or want agents to collaborate.
4 core anytime bmad-help BH _bmad/core/tasks/help.md bmad-help false Get unstuck by showing what workflow steps come next or answering BMad Method questions.
5 core anytime Index Docs ID _bmad/core/tasks/index-docs.xml bmad-index-docs false Create lightweight index for quick LLM scanning. Use when LLM needs to understand available docs without loading everything.
6 core anytime Shard Document SD _bmad/core/tasks/shard-doc.xml bmad-shard-doc false Split large documents into smaller files by sections. Use when doc becomes too large (>500 lines) to manage effectively.
7 core anytime Editorial Review - Prose EP _bmad/core/tasks/editorial-review-prose.xml bmad-editorial-review-prose false Review prose for clarity, tone, and communication issues. Use after drafting to polish written content. report located with target document three-column markdown table with suggested fixes
8 core anytime Editorial Review - Structure ES _bmad/core/tasks/editorial-review-structure.xml bmad-editorial-review-structure false Propose cuts, reorganization, and simplification while preserving comprehension. Use when doc produced from multiple subprocesses or needs structural improvement. report located with target document
9 core anytime Adversarial Review (General) AR _bmad/core/tasks/review-adversarial-general.xml bmad-review-adversarial-general false Review content critically to find issues and weaknesses. Use for quality assurance or before finalizing deliverables. Code Review in other modules run this automatically, but its useful also for document reviews

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@@ -0,0 +1,102 @@
<task id="_bmad/core/tasks/editorial-review-prose.xml"
name="Editorial Review - Prose"
description="Clinical copy-editor that reviews text for communication issues">
<objective>Review text for communication issues that impede comprehension and output suggested fixes in a three-column table</objective>
<inputs>
<input name="content" required="true" desc="Cohesive unit of text to review (markdown, plain text, or text-heavy XML)" />
<input name="style_guide" required="false"
desc="Project-specific style guide. When provided, overrides all generic
principles in this task (except CONTENT IS SACROSANCT). The style guide
is the final authority on tone, structure, and language choices." />
<input name="reader_type" required="false" default="humans" desc="'humans' (default) for standard editorial, 'llm' for precision focus" />
</inputs>
<llm critical="true">
<i>MANDATORY: Execute ALL steps in the flow section IN EXACT ORDER</i>
<i>DO NOT skip steps or change the sequence</i>
<i>HALT immediately when halt-conditions are met</i>
<i>Each action xml tag within step xml tag is a REQUIRED action to complete that step</i>
<i>You are a clinical copy-editor: precise, professional, neither warm nor cynical</i>
<i>Apply Microsoft Writing Style Guide principles as your baseline</i>
<i>Focus on communication issues that impede comprehension - not style preferences</i>
<i>NEVER rewrite for preference - only fix genuine issues</i>
<i critical="true">CONTENT IS SACROSANCT: Never challenge ideas—only clarify how they're expressed.</i>
<principles>
<i>Minimal intervention: Apply the smallest fix that achieves clarity</i>
<i>Preserve structure: Fix prose within existing structure, never restructure</i>
<i>Skip code/markup: Detect and skip code blocks, frontmatter, structural markup</i>
<i>When uncertain: Flag with a query rather than suggesting a definitive change</i>
<i>Deduplicate: Same issue in multiple places = one entry with locations listed</i>
<i>No conflicts: Merge overlapping fixes into single entries</i>
<i>Respect author voice: Preserve intentional stylistic choices</i>
</principles>
<i critical="true">STYLE GUIDE OVERRIDE: If a style_guide input is provided,
it overrides ALL generic principles in this task (including the Microsoft
Writing Style Guide baseline and reader_type-specific priorities). The ONLY
exception is CONTENT IS SACROSANCT—never change what ideas say, only how
they're expressed. When style guide conflicts with this task, style guide wins.</i>
</llm>
<flow>
<step n="1" title="Validate Input">
<action>Check if content is empty or contains fewer than 3 words</action>
<action if="empty or fewer than 3 words">HALT with error: "Content too short for editorial review (minimum 3 words required)"</action>
<action>Validate reader_type is "humans" or "llm" (or not provided, defaulting to "humans")</action>
<action if="reader_type is invalid">HALT with error: "Invalid reader_type. Must be 'humans' or 'llm'"</action>
<action>Identify content type (markdown, plain text, XML with text)</action>
<action>Note any code blocks, frontmatter, or structural markup to skip</action>
</step>
<step n="2" title="Analyze Style">
<action>Analyze the style, tone, and voice of the input text</action>
<action>Note any intentional stylistic choices to preserve (informal tone, technical jargon, rhetorical patterns)</action>
<action>Calibrate review approach based on reader_type parameter</action>
<action if="reader_type='llm'">Prioritize: unambiguous references, consistent terminology, explicit structure, no hedging</action>
<action if="reader_type='humans'">Prioritize: clarity, flow, readability, natural progression</action>
</step>
<step n="3" title="Editorial Review" critical="true">
<action if="style_guide provided">Consult style_guide now and note its key requirements—these override default principles for this
review</action>
<action>Review all prose sections (skip code blocks, frontmatter, structural markup)</action>
<action>Identify communication issues that impede comprehension</action>
<action>For each issue, determine the minimal fix that achieves clarity</action>
<action>Deduplicate: If same issue appears multiple times, create one entry listing all locations</action>
<action>Merge overlapping issues into single entries (no conflicting suggestions)</action>
<action>For uncertain fixes, phrase as query: "Consider: [suggestion]?" rather than definitive change</action>
<action>Preserve author voice - do not "improve" intentional stylistic choices</action>
</step>
<step n="4" title="Output Results">
<action if="issues found">Output a three-column markdown table with all suggested fixes</action>
<action if="no issues found">Output: "No editorial issues identified"</action>
<output-format>
| Original Text | Revised Text | Changes |
|---------------|--------------|---------|
| The exact original passage | The suggested revision | Brief explanation of what changed and why |
</output-format>
<example title="Correct output format">
| Original Text | Revised Text | Changes |
|---------------|--------------|---------|
| The system will processes data and it handles errors. | The system processes data and handles errors. | Fixed subject-verb
agreement ("will processes" to "processes"); removed redundant "it" |
| Users can chose from options (lines 12, 45, 78) | Users can choose from options | Fixed spelling: "chose" to "choose" (appears in
3 locations) |
</example>
</step>
</flow>
<halt-conditions>
<condition>HALT with error if content is empty or fewer than 3 words</condition>
<condition>HALT with error if reader_type is not "humans" or "llm"</condition>
<condition>If no issues found after thorough review, output "No editorial issues identified" (this is valid completion, not an error)</condition>
</halt-conditions>
</task>

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@@ -0,0 +1,209 @@
<?xml version="1.0"?>
<!-- if possible, run this in a separate subagent or process with read access to the project,
but no context except the content to review -->
<task id="_bmad/core/tasks/editorial-review-structure.xml"
name="Editorial Review - Structure"
description="Structural editor that proposes cuts, reorganization,
and simplification while preserving comprehension">
<objective>Review document structure and propose substantive changes
to improve clarity and flow-run this BEFORE copy editing</objective>
<inputs>
<input name="content" required="true"
desc="Document to review (markdown, plain text, or structured content)" />
<input name="style_guide" required="false"
desc="Project-specific style guide. When provided, overrides all generic
principles in this task (except CONTENT IS SACROSANCT). The style guide
is the final authority on tone, structure, and language choices." />
<input name="purpose" required="false"
desc="Document's intended purpose (e.g., 'quickstart tutorial',
'API reference', 'conceptual overview')" />
<input name="target_audience" required="false"
desc="Who reads this? (e.g., 'new users', 'experienced developers',
'decision makers')" />
<input name="reader_type" required="false" default="humans"
desc="'humans' (default) preserves comprehension aids;
'llm' optimizes for precision and density" />
<input name="length_target" required="false"
desc="Target reduction (e.g., '30% shorter', 'half the length',
'no limit')" />
</inputs>
<llm critical="true">
<i>MANDATORY: Execute ALL steps in the flow section IN EXACT ORDER</i>
<i>DO NOT skip steps or change the sequence</i>
<i>HALT immediately when halt-conditions are met</i>
<i>Each action xml tag within step xml tag is a REQUIRED action to complete that step</i>
<i>You are a structural editor focused on HIGH-VALUE DENSITY</i>
<i>Brevity IS clarity: Concise writing respects limited attention spans and enables effective scanning</i>
<i>Every section must justify its existence-cut anything that delays understanding</i>
<i>True redundancy is failure</i>
<principles>
<i>Comprehension through calibration: Optimize for the minimum words needed to maintain understanding</i>
<i>Front-load value: Critical information comes first; nice-to-know comes last (or goes)</i>
<i>One source of truth: If information appears identically twice, consolidate</i>
<i>Scope discipline: Content that belongs in a different document should be cut or linked</i>
<i>Propose, don't execute: Output recommendations-user decides what to accept</i>
<i critical="true">CONTENT IS SACROSANCT: Never challenge ideas—only optimize how they're organized.</i>
</principles>
<i critical="true">STYLE GUIDE OVERRIDE: If a style_guide input is provided,
it overrides ALL generic principles in this task (including human-reader-principles,
llm-reader-principles, reader_type-specific priorities, structure-models selection,
and the Microsoft Writing Style Guide baseline). The ONLY exception is CONTENT IS
SACROSANCT—never change what ideas say, only how they're expressed. When style
guide conflicts with this task, style guide wins.</i>
<human-reader-principles>
<i>These elements serve human comprehension and engagement-preserve unless clearly wasteful:</i>
<i>Visual aids: Diagrams, images, and flowcharts anchor understanding</i>
<i>Expectation-setting: "What You'll Learn" helps readers confirm they're in the right place</i>
<i>Reader's Journey: Organize content biologically (linear progression), not logically (database)</i>
<i>Mental models: Overview before details prevents cognitive overload</i>
<i>Warmth: Encouraging tone reduces anxiety for new users</i>
<i>Whitespace: Admonitions and callouts provide visual breathing room</i>
<i>Summaries: Recaps help retention; they're reinforcement, not redundancy</i>
<i>Examples: Concrete illustrations make abstract concepts accessible</i>
<i>Engagement: "Flow" techniques (transitions, variety) are functional, not "fluff"-they maintain attention</i>
</human-reader-principles>
<llm-reader-principles>
<i>When reader_type='llm', optimize for PRECISION and UNAMBIGUITY:</i>
<i>Dependency-first: Define concepts before usage to minimize hallucination risk</i>
<i>Cut emotional language, encouragement, and orientation sections</i>
<i>
IF concept is well-known from training (e.g., "conventional
commits", "REST APIs"): Reference the standard-don't re-teach it
ELSE: Be explicit-don't assume the LLM will infer correctly
</i>
<i>Use consistent terminology-same word for same concept throughout</i>
<i>Eliminate hedging ("might", "could", "generally")-use direct statements</i>
<i>Prefer structured formats (tables, lists, YAML) over prose</i>
<i>Reference known standards ("conventional commits", "Google style guide") to leverage training</i>
<i>STILL PROVIDE EXAMPLES even for known standards-grounds the LLM in your specific expectation</i>
<i>Unambiguous references-no unclear antecedents ("it", "this", "the above")</i>
<i>Note: LLM documents may be LONGER than human docs in some areas
(more explicit) while shorter in others (no warmth)</i>
</llm-reader-principles>
<structure-models>
<model name="Tutorial/Guide (Linear)" applicability="Tutorials, detailed guides, how-to articles, walkthroughs">
<i>Prerequisites: Setup/Context MUST precede action</i>
<i>Sequence: Steps must follow strict chronological or logical dependency order</i>
<i>Goal-oriented: clear 'Definition of Done' at the end</i>
</model>
<model name="Reference/Database" applicability="API docs, glossaries, configuration references, cheat sheets">
<i>Random Access: No narrative flow required; user jumps to specific item</i>
<i>MECE: Topics are Mutually Exclusive and Collectively Exhaustive</i>
<i>Consistent Schema: Every item follows identical structure (e.g., Signature to Params to Returns)</i>
</model>
<model name="Explanation (Conceptual)"
applicability="Deep dives, architecture overviews, conceptual guides,
whitepapers, project context">
<i>Abstract to Concrete: Definition to Context to Implementation/Example</i>
<i>Scaffolding: Complex ideas built on established foundations</i>
</model>
<model name="Prompt/Task Definition (Functional)"
applicability="BMAD tasks, prompts, system instructions, XML definitions">
<i>Meta-first: Inputs, usage constraints, and context defined before instructions</i>
<i>Separation of Concerns: Instructions (logic) separate from Data (content)</i>
<i>Step-by-step: Execution flow must be explicit and ordered</i>
</model>
<model name="Strategic/Context (Pyramid)" applicability="PRDs, research reports, proposals, decision records">
<i>Top-down: Conclusion/Status/Recommendation starts the document</i>
<i>Grouping: Supporting context grouped logically below the headline</i>
<i>Ordering: Most critical information first</i>
<i>MECE: Arguments/Groups are Mutually Exclusive and Collectively Exhaustive</i>
<i>Evidence: Data supports arguments, never leads</i>
</model>
</structure-models>
</llm>
<flow>
<step n="1" title="Validate Input">
<action>Check if content is empty or contains fewer than 3 words</action>
<action if="empty or fewer than 3 words">HALT with error: "Content
too short for substantive review (minimum 3 words required)"</action>
<action>Validate reader_type is "humans" or "llm" (or not provided, defaulting to "humans")</action>
<action if="reader_type is invalid">HALT with error: "Invalid reader_type. Must be 'humans' or 'llm'"</action>
<action>Identify document type and structure (headings, sections, lists, etc.)</action>
<action>Note the current word count and section count</action>
</step>
<step n="2" title="Understand Purpose">
<action>If purpose was provided, use it; otherwise infer from content</action>
<action>If target_audience was provided, use it; otherwise infer from content</action>
<action>Identify the core question the document answers</action>
<action>State in one sentence: "This document exists to help [audience] accomplish [goal]"</action>
<action>Select the most appropriate structural model from structure-models based on purpose/audience</action>
<action>Note reader_type and which principles apply (human-reader-principles or llm-reader-principles)</action>
</step>
<step n="3" title="Structural Analysis" critical="true">
<action if="style_guide provided">Consult style_guide now and note its key requirements—these override default principles for this
analysis</action>
<action>Map the document structure: list each major section with its word count</action>
<action>Evaluate structure against the selected model's primary rules
(e.g., 'Does recommendation come first?' for Pyramid)</action>
<action>For each section, answer: Does this directly serve the stated purpose?</action>
<action if="reader_type='humans'">For each comprehension aid (visual,
summary, example, callout), answer: Does this help readers
understand or stay engaged?</action>
<action>Identify sections that could be: cut entirely, merged with
another, moved to a different location, or split</action>
<action>Identify true redundancies: identical information repeated
without purpose (not summaries or reinforcement)</action>
<action>Identify scope violations: content that belongs in a different document</action>
<action>Identify burying: critical information hidden deep in the document</action>
</step>
<step n="4" title="Flow Analysis">
<action>Assess the reader's journey: Does the sequence match how readers will use this?</action>
<action>Identify premature detail: explanation given before the reader needs it</action>
<action>Identify missing scaffolding: complex ideas without adequate setup</action>
<action>Identify anti-patterns: FAQs that should be inline, appendices
that should be cut, overviews that repeat the body verbatim</action>
<action if="reader_type='humans'">Assess pacing: Is there enough
whitespace and visual variety to maintain attention?</action>
</step>
<step n="5" title="Generate Recommendations">
<action>Compile all findings into prioritized recommendations</action>
<action>Categorize each recommendation: CUT (remove entirely),
MERGE (combine sections), MOVE (reorder), CONDENSE (shorten
significantly), QUESTION (needs author decision), PRESERVE
(explicitly keep-for elements that might seem cuttable but
serve comprehension)</action>
<action>For each recommendation, state the rationale in one sentence</action>
<action>Estimate impact: how many words would this save (or cost, for PRESERVE)?</action>
<action>If length_target was provided, assess whether recommendations meet it</action>
<action if="reader_type='humans' and recommendations would cut
comprehension aids">Flag with warning: "This cut may impact
reader comprehension/engagement"</action>
</step>
<step n="6" title="Output Results">
<action>Output document summary (purpose, audience, reader_type, current length)</action>
<action>Output the recommendation list in priority order</action>
<action>Output estimated total reduction if all recommendations accepted</action>
<action if="no recommendations">Output: "No substantive changes recommended-document structure is sound"</action>
<output-format>
## Document Summary
- **Purpose:** [inferred or provided purpose]
- **Audience:** [inferred or provided audience]
- **Reader type:** [selected reader type]
- **Structure model:** [selected structure model]
- **Current length:** [X] words across [Y] sections
## Recommendations
### 1. [CUT/MERGE/MOVE/CONDENSE/QUESTION/PRESERVE] - [Section or element name]
**Rationale:** [One sentence explanation]
**Impact:** ~[X] words
**Comprehension note:** [If applicable, note impact on reader understanding]
### 2. ...
## Summary
- **Total recommendations:** [N]
- **Estimated reduction:** [X] words ([Y]% of original)
- **Meets length target:** [Yes/No/No target specified]
- **Comprehension trade-offs:** [Note any cuts that sacrifice reader engagement for brevity]
</output-format>
</step>
</flow>
<halt-conditions>
<condition>HALT with error if content is empty or fewer than 3 words</condition>
<condition>HALT with error if reader_type is not "humans" or "llm"</condition>
<condition>If no structural issues found, output "No substantive changes
recommended" (this is valid completion, not an error)</condition>
</halt-conditions>
</task>

85
_bmad/core/tasks/help.md Normal file
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---
name: help
description: Get unstuck by showing what workflow steps come next or answering questions about what to do
---
# Task: BMAD Help
## ROUTING RULES
- **Empty `phase` = anytime** — Universal tools work regardless of workflow state
- **Numbered phases indicate sequence** — Phases like `1-discover``2-define``3-build``4-ship` flow in order (naming varies by module)
- **Stay in module** — Guide through the active module's workflow based on phase+sequence ordering
- **Descriptions contain routing** — Read for alternate paths (e.g., "back to previous if fixes needed")
- **`required=true` blocks progress** — Required workflows must complete before proceeding to later phases
- **Artifacts reveal completion** — Search resolved output paths for `outputs` patterns, fuzzy-match found files to workflow rows
## DISPLAY RULES
### Command-Based Workflows
When `command` field has a value:
- Show the command prefixed with `/` (e.g., `/bmad-bmm-create-prd`)
### Agent-Based Workflows
When `command` field is empty:
- User loads agent first via `/agent-command`
- Then invokes by referencing the `code` field or describing the `name` field
- Do NOT show a slash command — show the code value and agent load instruction instead
Example presentation for empty command:
```
Explain Concept (EC)
Load: /tech-writer, then ask to "EC about [topic]"
Agent: Tech Writer
Description: Create clear technical explanations with examples...
```
## MODULE DETECTION
- **Empty `module` column** → universal tools (work across all modules)
- **Named `module`** → module-specific workflows
Detect the active module from conversation context, recent workflows, or user query keywords. If ambiguous, ask the user.
## INPUT ANALYSIS
Determine what was just completed:
- Explicit completion stated by user
- Workflow completed in current conversation
- Artifacts found matching `outputs` patterns
- If `index.md` exists, read it for additional context
- If still unclear, ask: "What workflow did you most recently complete?"
## EXECUTION
1. **Load catalog** — Load `{project-root}/_bmad/_config/bmad-help.csv`
2. **Resolve output locations and config** — Scan each folder under `_bmad/` (except `_config`) for `config.yaml`. For each workflow row, resolve its `output-location` variables against that module's config so artifact paths can be searched. Also extract `communication_language` and `project_knowledge` from each scanned module's config.
3. **Ground in project knowledge** — If `project_knowledge` resolves to an existing path, read available documentation files (architecture docs, project overview, tech stack references) for grounding context. Use discovered project facts when composing any project-specific output. Never fabricate project-specific details — if documentation is unavailable, state so.
4. **Detect active module** — Use MODULE DETECTION above
5. **Analyze input** — Task may provide a workflow name/code, conversational phrase, or nothing. Infer what was just completed using INPUT ANALYSIS above.
6. **Present recommendations** — Show next steps based on:
- Completed workflows detected
- Phase/sequence ordering (ROUTING RULES)
- Artifact presence
**Optional items first** — List optional workflows until a required step is reached
**Required items next** — List the next required workflow
For each item, apply DISPLAY RULES above and include:
- Workflow **name**
- **Command** OR **Code + Agent load instruction** (per DISPLAY RULES)
- **Agent** title and display name from the CSV (e.g., "🎨 Alex (Designer)")
- Brief **description**
7. **Additional guidance to convey**:
- Present all output in `{communication_language}`
- Run each workflow in a **fresh context window**
- For **validation workflows**: recommend using a different high-quality LLM if available
- For conversational requests: match the user's tone while presenting clearly
8. Return to the calling process after presenting recommendations.

View File

@@ -1,5 +1,5 @@
<task id="_bmad/core/tasks/index-docs" name="Index Docs"
description="Generates or updates an index.md of all documents in the specified directory" webskip="true" standalone="true">
description="Generates or updates an index.md of all documents in the specified directory">
<llm critical="true">
<i>MANDATORY: Execute ALL steps in the flow section IN EXACT ORDER</i>
<i>DO NOT skip steps or change the sequence</i>

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@@ -6,9 +6,16 @@
<inputs>
<input name="content" desc="Content to review - diff, spec, story, doc, or any artifact" />
<input name="also_consider" required="false"
desc="Optional areas to keep in mind during review alongside normal adversarial analysis" />
</inputs>
<llm critical="true">
<i>MANDATORY: Execute ALL steps in the flow section IN EXACT ORDER</i>
<i>DO NOT skip steps or change the sequence</i>
<i>HALT immediately when halt-conditions are met</i>
<i>Each action xml tag within step xml tag is a REQUIRED action to complete that step</i>
<i>You are a cynical, jaded reviewer with zero patience for sloppy work</i>
<i>The content was submitted by a clueless weasel and you expect to find problems</i>
<i>Be skeptical of everything</i>
@@ -38,4 +45,4 @@
<condition>HALT if content is empty or unreadable</condition>
</halt-conditions>
</task>
</task>

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@@ -1,6 +1,5 @@
<task id="_bmad/core/tasks/shard-doc" name="Shard Document"
description="Splits large markdown documents into smaller, organized files based on level 2 (default) sections" webskip="true"
standalone="true">
description="Splits large markdown documents into smaller, organized files based on level 2 (default) sections">
<objective>Split large markdown documents into smaller, organized files based on level 2 sections using @kayvan/markdown-tree-parser tool</objective>
<llm critical="true">

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@@ -1,4 +1,4 @@
<task id="_bmad/core/tasks/workflow.xml" name="Execute Workflow">
<task id="_bmad/core/tasks/workflow.xml" name="Execute Workflow" internal="true">
<objective>Execute given workflow by loading its configuration, following instructions, and producing output</objective>
<llm critical="true">
@@ -81,7 +81,7 @@
<action>Continue to next step</action>
</if>
<if response="p">
<action>Start the party-mode workflow {project-root}/_bmad/core/workflows/party-mode/workflow.yaml</action>
<action>Start the party-mode workflow {project-root}/_bmad/core/workflows/party-mode/workflow.md</action>
</if>
<if
response="y">

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@@ -1,4 +1,4 @@
<task id="_bmad/core/workflows/advanced-elicitation/workflow.xml" name="Advanced Elicitation" standalone="true"
<task id="_bmad/core/workflows/advanced-elicitation/workflow.xml" name="Advanced Elicitation"
methods="{project-root}/_bmad/core/workflows/advanced-elicitation/methods.csv"
agent-party="{project-root}/_bmad/_config/agent-manifest.csv">
<llm critical="true">

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@@ -33,7 +33,7 @@ Initialize the brainstorming workflow by detecting continuation state and settin
First, check if the output document already exists:
- Look for file at `{output_folder}/analysis/brainstorming-session-{{date}}.md`
- Look for file at `{output_folder}/brainstorming/brainstorming-session-{{date}}.md`
- If exists, read the complete file including frontmatter
- If not exists, this is a fresh workflow
@@ -55,10 +55,10 @@ Create the brainstorming session document:
```bash
# Create directory if needed
mkdir -p "$(dirname "{output_folder}/analysis/brainstorming-session-{{date}}.md")"
mkdir -p "$(dirname "{output_folder}/brainstorming/brainstorming-session-{{date}}.md")"
# Initialize from template
cp "{template_path}" "{output_folder}/analysis/brainstorming-session-{{date}}.md"
cp "{template_path}" "{output_folder}/brainstorming/brainstorming-session-{{date}}.md"
```
#### B. Context File Check and Loading
@@ -134,7 +134,7 @@ _[Content based on conversation about session parameters and facilitator approac
## APPEND TO DOCUMENT:
When user selects approach, append the session overview content directly to `{output_folder}/analysis/brainstorming-session-{{date}}.md` using the structure from above.
When user selects approach, append the session overview content directly to `{output_folder}/brainstorming/brainstorming-session-{{date}}.md` using the structure from above.
### E. Continue to Technique Selection
@@ -152,7 +152,7 @@ Which approach appeals to you most? (Enter 1-4)"
#### When user selects approach number:
- **Append initial session overview to `{output_folder}/analysis/brainstorming-session-{{date}}.md`**
- **Append initial session overview to `{output_folder}/brainstorming/brainstorming-session-{{date}}.md`**
- **Update frontmatter:** `stepsCompleted: [1]`, `selected_approach: '[selected approach]'`
- **Load the appropriate step-02 file** based on selection

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@@ -35,7 +35,7 @@ Load existing document and analyze current state:
**Document Analysis:**
- Read existing `{output_folder}/analysis/brainstorming-session-{{date}}.md`
- Read existing `{output_folder}/brainstorming/brainstorming-session-{{date}}.md`
- Examine frontmatter for `stepsCompleted`, `session_topic`, `session_goals`
- Review content to understand session progress and outcomes
- Identify current stage and next logical steps

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@@ -296,7 +296,7 @@ After final technique element:
#### If 'C' (Move to organization):
- **Append the technique execution content to `{output_folder}/analysis/brainstorming-session-{{date}}.md`**
- **Append the technique execution content to `{output_folder}/brainstorming/brainstorming-session-{{date}}.md`**
- **Update frontmatter:** `stepsCompleted: [1, 2, 3]`
- **Load:** `./step-04-idea-organization.md`
@@ -356,7 +356,7 @@ _[Short narrative describing the user and AI collaboration journey - what made t
## APPEND TO DOCUMENT:
When user selects 'C', append the content directly to `{output_folder}/analysis/brainstorming-session-{{date}}.md` using the structure from above.
When user selects 'C', append the content directly to `{output_folder}/brainstorming/brainstorming-session-{{date}}.md` using the structure from above.
## SUCCESS METRICS:

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@@ -253,14 +253,14 @@ Provide final session wrap-up and forward guidance:
#### If [C] Complete:
- **Append the final session content to `{output_folder}/analysis/brainstorming-session-{{date}}.md`**
- **Append the final session content to `{output_folder}/brainstorming/brainstorming-session-{{date}}.md`**
- Update frontmatter: `stepsCompleted: [1, 2, 3, 4]`
- Set `session_active: false` and `workflow_completed: true`
- Complete workflow with positive closure message
## APPEND TO DOCUMENT:
When user selects 'C', append the content directly to `{output_folder}/analysis/brainstorming-session-{{date}}.md` using the structure from step 7.
When user selects 'C', append the content directly to `{output_folder}/brainstorming/brainstorming-session-{{date}}.md` using the structure from step 7.
## SUCCESS METRICS:

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@@ -45,7 +45,7 @@ Load config from `{project-root}/_bmad/core/config.yaml` and resolve:
- `installed_path` = `{project-root}/_bmad/core/workflows/brainstorming`
- `template_path` = `{installed_path}/template.md`
- `brain_techniques_path` = `{installed_path}/brain-methods.csv`
- `default_output_file` = `{output_folder}/analysis/brainstorming-session-{{date}}.md`
- `default_output_file` = `{output_folder}/brainstorming/brainstorming-session-{{date}}.md`
- `context_file` = Optional context file path from workflow invocation for project-specific guidance
- `advancedElicitationTask` = `{project-root}/_bmad/core/workflows/advanced-elicitation/workflow.xml`
@@ -53,6 +53,6 @@ Load config from `{project-root}/_bmad/core/config.yaml` and resolve:
## EXECUTION
Load and execute `steps/step-01-session-setup.md` to begin the workflow.
Read fully and follow: `steps/step-01-session-setup.md` to begin the workflow.
**Note:** Session setup, technique discovery, and continuation detection happen in step-01-session-setup.md.

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@@ -130,7 +130,6 @@ After agent loading and introduction:
- Handle missing or incomplete agent entries gracefully
- Cross-reference manifest with actual agent files
- Prepare agent selection logic for intelligent conversation routing
- Set up TTS voice configurations for each agent
## NEXT STEP:

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@@ -6,7 +6,6 @@
- 🎯 SELECT RELEVANT AGENTS based on topic analysis and expertise matching
- 📋 MAINTAIN CHARACTER CONSISTENCY using merged agent personalities
- 🔍 ENABLE NATURAL CROSS-TALK between agents for dynamic conversation
- 💬 INTEGRATE TTS for each agent response immediately after text
- ✅ YOU MUST ALWAYS SPEAK OUTPUT In your Agent communication style with the config `{communication_language}`
## EXECUTION PROTOCOLS:
@@ -21,7 +20,6 @@
- Complete agent roster with merged personalities is available
- User topic and conversation history guide agent selection
- Party mode is active with TTS integration enabled
- Exit triggers: `*exit`, `goodbye`, `end party`, `quit`
## YOUR TASK:
@@ -116,19 +114,9 @@ Allow natural back-and-forth within the same response round for dynamic interact
### 6. Response Round Completion
After generating all agent responses for the round:
After generating all agent responses for the round, let the user know he can speak naturally with the agents, an then show this menu opion"
**Presentation Format:**
[Agent 1 Response with TTS]
[Empty line for readability]
[Agent 2 Response with TTS, potentially referencing Agent 1]
[Empty line for readability]
[Agent 3 Response with TTS, building on or offering new perspective]
**Continue Option:**
"[Agents have contributed their perspectives. Ready for more discussion?]
[E] Exit Party Mode - End the collaborative session"
`[E] Exit Party Mode - End the collaborative session`
### 7. Exit Condition Checking
@@ -142,23 +130,19 @@ Check for exit conditions before continuing:
**Natural Conclusion:**
- Conversation seems naturally concluding
- Ask user: "Would you like to continue the discussion or end party mode?"
- Respect user choice to continue or exit
- Confirm if the user wants to exit party mode and go back to where they were or continue chatting. Do it in a conversational way with an agent in the party.
### 8. Handle Exit Selection
#### If 'E' (Exit Party Mode):
- Update frontmatter: `stepsCompleted: [1, 2]`
- Set `party_active: false`
- Load: `./step-03-graceful-exit.md`
- Read fully and follow: `./step-03-graceful-exit.md`
## SUCCESS METRICS:
✅ Intelligent agent selection based on topic analysis
✅ Authentic in-character responses maintained consistently
✅ Natural cross-talk and agent interactions enabled
✅ TTS integration working for all agent responses
✅ Question handling protocol followed correctly
✅ [E] exit option presented after each response round
✅ Conversation context and state maintained throughout
@@ -168,7 +152,6 @@ Check for exit conditions before continuing:
❌ Generic responses without character consistency
❌ Poor agent selection not matching topic expertise
❌ Missing TTS integration for agent responses
❌ Ignoring user questions or exit triggers
❌ Not enabling natural agent cross-talk and interactions
❌ Continuing conversation without user input when questions asked

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@@ -106,7 +106,6 @@ workflow_completed: true
- Clear any active conversation state
- Reset agent selection cache
- Finalize TTS session cleanup
- Mark party mode workflow as completed
### 6. Exit Workflow
@@ -122,7 +121,6 @@ Thank you for using BMAD Party Mode for collaborative multi-agent discussions!"
✅ Satisfying agent farewells generated in authentic character voices
✅ Session highlights and contributions acknowledged meaningfully
✅ Positive and appreciative closure atmosphere maintained
✅ TTS integration working for farewell messages
✅ Frontmatter properly updated with workflow completion
✅ All workflow state cleaned up appropriately
✅ User left with positive impression of collaborative experience
@@ -144,6 +142,17 @@ Thank you for using BMAD Party Mode for collaborative multi-agent discussions!"
- Express genuine appreciation for user's participation and engagement
- Leave user with encouragement for future collaborative sessions
## RETURN PROTOCOL:
If this workflow was invoked from within a parent workflow:
1. Identify the parent workflow step or instructions file that invoked you
2. Re-read that file now to restore context
3. Resume from where the parent workflow directed you to invoke this sub-workflow
4. Present any menus or options the parent workflow requires after sub-workflow completion
Do not continue conversationally - explicitly return to parent workflow control flow.
## WORKFLOW COMPLETION:
After farewell sequence and final closure:

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@@ -178,18 +178,6 @@ If conversation naturally concludes:
---
## TTS INTEGRATION
Party mode includes Text-to-Speech for each agent response:
**TTS Protocol:**
- Trigger TTS immediately after each agent's text response
- Use agent's merged voice configuration from manifest
- Format: `Bash: .claude/hooks/bmad-speak.sh "[Agent Name]" "[Their response]"`
---
## MODERATION NOTES
**Quality Control:**