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Keep/_bmad/core/module-help.csv
Sepehr Ramezani fa7e166f3e feat: add reminders page, BMad skills upgrade, MCP server refactor
- Add reminders page with navigation support
- Upgrade BMad builder module to skills-based architecture
- Refactor MCP server: extract tools and auth into separate modules
- Add connections cache, custom AI provider support
- Update prisma schema and generated client
- Various UI/UX improvements and i18n updates
- Add service worker for PWA support

Made-with: Cursor
2026-04-13 21:02:53 +02:00

1.8 KiB

1moduleskilldisplay-namemenu-codedescriptionactionargsphaseafterbeforerequiredoutput-locationoutputs
2Corebmad-brainstormingBrainstormingBSPUse early in ideation or when stuck generating ideas.anytimefalse{output_folder}/brainstormingbrainstorming session
3Corebmad-party-modeParty ModePMOrchestrate multi-agent discussions when you need multiple perspectives or want agents to collaborate.anytimefalse
4Corebmad-helpBMad HelpBHanytimefalse
5Corebmad-index-docsIndex DocsIDUse when LLM needs to understand available docs without loading everything.anytimefalse
6Corebmad-shard-docShard DocumentSDUse when doc becomes too large (>500 lines) to manage effectively.[path]anytimefalse
7Corebmad-editorial-review-proseEditorial Review - ProseEPUse after drafting to polish written content.[path]anytimefalsereport located with target documentthree-column markdown table with suggested fixes
8Corebmad-editorial-review-structureEditorial Review - StructureESUse when doc produced from multiple subprocesses or needs structural improvement.[path]anytimefalsereport located with target document
9Corebmad-review-adversarial-generalAdversarial ReviewARUse for quality assurance or before finalizing deliverables. Code Review in other modules runs this automatically, but also useful for document reviews.[path]anytimefalse
10Corebmad-review-edge-case-hunterEdge Case Hunter ReviewECHUse alongside adversarial review for orthogonal coverage — method-driven not attitude-driven.[path]anytimefalse
11Corebmad-distillatorDistillatorDGUse when you need token-efficient distillates that preserve all information for downstream LLM consumption.[path]anytimefalseadjacent to source document or specified output_pathdistillate markdown file(s)