Three-layer customization (skill defaults → team → user) for BMad agents
and any skill that opts in. Users edit `_bmad/custom/{skill-name}.yaml`
(team, committed) or `{skill-name}.user.yaml` (personal, gitignored);
customizations survive updates.
Resolver is a Python script using PEP 723 inline metadata, invoked via
`uv run` so deps auto-install into a cached isolated env on first call.
This aligns with Anthropic's Agent Skills spec and BMB conventions, and
keeps the dependency declared (scannable by pip-audit/Dependabot) rather
than vendored.
## Design choices
- **Agent identity is hardcoded** in SKILL.md (name, title, Overview prose)
so skills can be invoked reliably by role *or* default name. Brand
recognition is preserved; customization shapes behavior, not identity.
- **Luminary-anchored personas** (e.g. "Channels Martin Fowler's
pragmatism and Werner Vogels's cloud-scale realism") deliver ~55%
token savings per agent while preserving distinctive voice beats.
- **Universal per-field merge rules** with v6.1-compatible agent
semantics: metadata shallow-merge, persona replace, critical_actions
and memories append, menu merge-by-code, all else deep-merge.
- **Workflow customization** shares the same surface — `bmad-product-brief`
pilots `activation_steps_prepend`, `activation_steps_append`, and
`skill_end` hooks that any workflow-style skill can adopt.
## Infrastructure
- `_bmad/scripts/` houses shared Python scripts (resolver + future).
- `_bmad/custom/` is provisioned empty with a seeded `.gitignore` for
`*.user.yaml` on fresh installs.
- Installer filters ensure `scripts/`, `custom/`, and sidecar-generated
`memory/` directories are never treated as modules.
- Dead v6.1 code cleaned up: `_config/agents/` no longer created,
`metadata.capabilities` removed from schema and CSV manifest.
* refactor: remove bmad-init skill and standardize config loading across all skills
Remove the bmad-init core skill entirely — all agents and workflow skills now
load config directly from their module's config.yaml instead of delegating to
bmad-init as an intermediary. This eliminates the Python script dependency and
simplifies the activation path for every skill.
Changes across all skill types:
- Agents (9 skills): Replace "Load config via bmad-init skill" block with
direct config loading from `{project-root}/_bmad/bmm/config.yaml`, resolving
user_name, communication_language, document_output_language,
planning_artifacts, and project_knowledge
- Workflow skills (12 skills): Standardize INITIALIZATION/Configuration Loading
sections to a consistent Activation format matching the agent pattern
- bmad-prfaq: Align activation to standard config pattern, convert scripted
dialogue to outcome-focused instructions (no direct quotes)
- bmad-product-brief: Remove External Skills section referencing bmad-init
- bmad-party-mode: Standardize initialization to Activation format
- bmad-advanced-elicitation: Inline agent_party path instead of config var
- bmad-distillator: Remove unused argument-hint frontmatter
- Delete legacy create-prd/ directory (superseded by bmad-create-prd)
- Delete bmad-init skill entirely: SKILL.md, bmad_init.py, core-module.yaml,
and test suite
* fix: remove remaining bmad-init references from marketplace.json and distillate examples
Clean up missed references: remove bmad-init from marketplace.json skills
list, replace bmad-init examples in distillate-format-reference.md with
bmad-help/bmad-setup to keep examples valid without referencing a removed skill.
* fix: update broken file references in bmad-edit-prd after create-prd deletion
Point prdPurpose refs from deleted create-prd/data/ to bmad-create-prd/data/
and validationWorkflow ref from create-prd/steps-v/ to bmad-validate-prd/steps-v/.
* feat: add bmad-prfaq skill as alternative to product brief
Add Working Backwards PRFAQ challenge skill for stress-testing product
concepts through Amazon's PRFAQ methodology. Includes press release
drafting, customer FAQ, internal FAQ, and verdict stages with subagent
support for artifact scanning and web research.
- New bmad-prfaq skill with 5-stage interactive gauntlet and headless mode
- Subagents for artifact analysis and web research (graceful degradation)
- Research-grounded output directive for current market/competitive data
- Always produces distillate for downstream PRD consumption
- Fix manifest array syntax in both prfaq and product-brief manifests
- Drop number prefixes from reference files
- Update docs: getting-started, workflow-map, agents, skills reference
- Add analysis-phase explainer doc with comparison table and decision guide
- Update workflow-map-diagram.html with prfaq card
- Add -H and -A args to CSV for both skills
- Add unist-util-visit as devDependency (was imported but undeclared)
* fix: harden bmad-prfaq for compaction resilience and context efficiency
Add coaching persona re-anchors to all stage prompts so the behavioral
directive survives context compaction. Add do-not-read guards at resume
detection, headless mode, and input gathering to prevent parent agent
context bloat. Add Stage 1 coaching notes capture. Adapt template and
press release stage for non-commercial concept types. Cap subagent
response token budgets.
* fix: add config.user.yaml to file-ref validator allowlist
Also update PRFAQ config path to use correct _config/bmm/ prefix.
Switch skill discovery gate from requiring bmad-skill-manifest.yaml with
type: skill to detecting any directory with a valid SKILL.md (frontmatter
name + description, name matches directory name). Delete 34 stub manifests
that carried no data beyond type: skill. Agent manifests (9) are retained
for persona metadata consumed by agent-manifest.csv.
Replace bmad-create-product-brief (step-based wizard) and
bmad-product-brief-preview (multi-agent) with a single unified
bmad-product-brief skill. Remove accidentally duplicated market
research step files and template. Update research skill
descriptions to use more natural trigger language.
Brian
Alex Verkhovsky