Update project structure and configurations
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@@ -3,4 +3,79 @@ name: bmad-generate-project-context
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description: 'Create project-context.md with AI rules. Use when the user says "generate project context" or "create project context"'
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---
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Follow the instructions in ./workflow.md.
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# Generate Project Context Workflow
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**Goal:** Create a concise, optimized `project-context.md` file containing critical rules, patterns, and guidelines that AI agents must follow when implementing code. This file focuses on unobvious details that LLMs need to be reminded of.
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**Your Role:** You are a technical facilitator working with a peer to capture the essential implementation rules that will ensure consistent, high-quality code generation across all AI agents working on the project.
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## Conventions
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- Bare paths (e.g. `steps/step-01-discover.md`) resolve from the skill root.
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- `{skill-root}` resolves to this skill's installed directory (where `customize.toml` lives).
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- `{project-root}`-prefixed paths resolve from the project working directory.
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- `{skill-name}` resolves to the skill directory's basename.
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## WORKFLOW ARCHITECTURE
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This uses **micro-file architecture** for disciplined execution:
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- Each step is a self-contained file with embedded rules
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- Sequential progression with user control at each step
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- Document state tracked in frontmatter
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- Focus on lean, LLM-optimized content generation
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- You NEVER proceed to a step file if the current step file indicates the user must approve and indicate continuation.
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## On Activation
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### Step 1: Resolve the Workflow Block
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Run: `python3 {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow`
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**If the script fails**, resolve the `workflow` block yourself by reading these three files in base → team → user order and applying the same structural merge rules as the resolver:
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1. `{skill-root}/customize.toml` — defaults
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2. `{project-root}/_bmad/custom/{skill-name}.toml` — team overrides
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3. `{project-root}/_bmad/custom/{skill-name}.user.toml` — personal overrides
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Any missing file is skipped. Scalars override, tables deep-merge, arrays of tables keyed by `code` or `id` replace matching entries and append new entries, and all other arrays append.
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### Step 2: Execute Prepend Steps
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Execute each entry in `{workflow.activation_steps_prepend}` in order before proceeding.
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### Step 3: Load Persistent Facts
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Treat every entry in `{workflow.persistent_facts}` as foundational context you carry for the rest of the workflow run. Entries prefixed `file:` are paths or globs under `{project-root}` — load the referenced contents as facts. All other entries are facts verbatim.
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### Step 4: Load Config
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Load config from `{project-root}/_bmad/bmm/config.yaml` and resolve:
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- Use `{user_name}` for greeting
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- Use `{communication_language}` for all communications
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- Use `{document_output_language}` for output documents
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- Use `{planning_artifacts}` for output location and artifact scanning
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- Use `{project_knowledge}` for additional context scanning
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### Step 5: Greet the User
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Greet `{user_name}`, speaking in `{communication_language}`.
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### Step 6: Execute Append Steps
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Execute each entry in `{workflow.activation_steps_append}` in order.
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Activation is complete. Begin the workflow below.
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## Paths
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- `output_file` = `{output_folder}/project-context.md`
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## Execution
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- ✅ YOU MUST ALWAYS SPEAK OUTPUT In your Agent communication style with the config `{communication_language}`
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- ✅ YOU MUST ALWAYS WRITE all artifact and document content in `{document_output_language}`
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Load and execute `./steps/step-01-discover.md` to begin the workflow.
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**Note:** Input document discovery and initialization protocols are handled in step-01-discover.md.
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41
.cline/skills/bmad-generate-project-context/customize.toml
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41
.cline/skills/bmad-generate-project-context/customize.toml
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@@ -0,0 +1,41 @@
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# DO NOT EDIT -- overwritten on every update.
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#
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# Workflow customization surface for bmad-generate-project-context. Mirrors the
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# agent customization shape under the [workflow] namespace.
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[workflow]
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# --- Configurable below. Overrides merge per BMad structural rules: ---
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# scalars: override wins • arrays (persistent_facts, activation_steps_*): append
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# arrays-of-tables with `code`/`id`: replace matching items, append new ones.
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# Steps to run before the standard activation (config load, greet).
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# Overrides append. Use for pre-flight loads, compliance checks, etc.
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activation_steps_prepend = []
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# Steps to run after greet but before the workflow begins.
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# Overrides append. Use for context-heavy setup that should happen
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# once the user has been acknowledged.
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activation_steps_append = []
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# Persistent facts the workflow keeps in mind for the whole run
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# (standards, compliance constraints, stylistic guardrails).
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# Distinct from the runtime memory sidecar — these are static context
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# loaded on activation. Overrides append.
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#
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# Each entry is either:
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# - a literal sentence, e.g. "All artifacts must follow org naming conventions."
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# - a file reference prefixed with `file:`, e.g. "file:{project-root}/docs/standards.md"
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# (glob patterns are supported; the file's contents are loaded and treated as facts).
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persistent_facts = [
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"file:{project-root}/**/project-context.md",
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]
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# Scalar: executed when the workflow reaches Step 3 (Context Completion & Finalization),
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# after the project-context.md file is optimized and saved. Override wins.
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# Leave empty for no custom post-completion behavior.
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on_complete = ""
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@@ -276,3 +276,9 @@ Your project context will help ensure high-quality, consistent implementation ac
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This is the final step of the Generate Project Context workflow. The user now has a comprehensive, optimized project context file that will ensure consistent, high-quality implementation across all AI agents working on the project.
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The project context file serves as the critical "rules of the road" that agents need to implement code consistently with the project's standards and patterns.
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## On Complete
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Run: `python3 {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow.on_complete`
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If the resolved `workflow.on_complete` is non-empty, follow it as the final terminal instruction before exiting.
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@@ -1,43 +0,0 @@
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# Generate Project Context Workflow
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**Goal:** Create a concise, optimized `project-context.md` file containing critical rules, patterns, and guidelines that AI agents must follow when implementing code. This file focuses on unobvious details that LLMs need to be reminded of.
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**Your Role:** You are a technical facilitator working with a peer to capture the essential implementation rules that will ensure consistent, high-quality code generation across all AI agents working on the project.
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---
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## WORKFLOW ARCHITECTURE
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This uses **micro-file architecture** for disciplined execution:
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- Each step is a self-contained file with embedded rules
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- Sequential progression with user control at each step
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- Document state tracked in frontmatter
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- Focus on lean, LLM-optimized content generation
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- You NEVER proceed to a step file if the current step file indicates the user must approve and indicate continuation.
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---
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## INITIALIZATION
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### Configuration Loading
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Load config from `{project-root}/_bmad/bmm/config.yaml` and resolve:
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- `project_name`, `output_folder`, `user_name`
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- `communication_language`, `document_output_language`, `user_skill_level`
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- `date` as system-generated current datetime
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- ✅ YOU MUST ALWAYS SPEAK OUTPUT In your Agent communication style with the config `{communication_language}`
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- ✅ YOU MUST ALWAYS WRITE all artifact and document content in `{document_output_language}`
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### Paths
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- `output_file` = `{output_folder}/project-context.md`
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---
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## EXECUTION
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Load and execute `./steps/step-01-discover.md` to begin the workflow.
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**Note:** Input document discovery and initialization protocols are handled in step-01-discover.md.
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