feat: fix skill transformation pipeline across all targets (#334)
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@@ -145,12 +145,13 @@ Prepare a concise planning context summary (a paragraph or two) to pass as input
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Run these agents in parallel:
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- Task compound-engineering:research:repo-research-analyst(planning context summary)
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- Task compound-engineering:research:repo-research-analyst(Scope: technology, architecture, patterns. {planning context summary})
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- Task compound-engineering:research:learnings-researcher(planning context summary)
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Collect:
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- Existing patterns and conventions to follow
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- Relevant files, modules, and tests
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- Technology stack and versions (used in section 1.2 to make sharper external research decisions)
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- Architectural patterns and conventions to follow
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- Implementation patterns, relevant files, modules, and tests
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- AGENTS.md guidance that materially affects the plan, with CLAUDE.md used only as compatibility fallback when present
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- Institutional learnings from `docs/solutions/`
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@@ -83,11 +83,11 @@ First, I need to understand the project's conventions, existing patterns, and an
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Run these agents **in parallel** to gather local context:
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- Task compound-engineering:research:repo-research-analyst(feature_description)
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- Task compound-engineering:research:repo-research-analyst(Scope: technology, architecture, patterns. {feature_description})
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- Task compound-engineering:research:learnings-researcher(feature_description)
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**What to look for:**
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- **Repo research:** existing patterns, AGENTS.md guidance, technology familiarity, pattern consistency
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- **Repo research:** technology stack and versions (informs research decisions), architectural patterns, and implementation patterns relevant to the feature
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- **Learnings:** documented solutions in `docs/solutions/` that might apply (gotchas, patterns, lessons learned)
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These findings inform the next step.
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@@ -209,7 +209,7 @@ Use fully-qualified agent names inside Task calls.
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**Requirements Trace / Open Questions classification**
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- `compound-engineering:workflow:spec-flow-analyzer` for missing user flows, edge cases, and handoff gaps
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- `compound-engineering:research:repo-research-analyst` for repo-grounded patterns, conventions, and implementation reality checks
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- `compound-engineering:research:repo-research-analyst` (Scope: `architecture, patterns`) for repo-grounded patterns, conventions, and implementation reality checks
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**Context & Research / Sources & References gaps**
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- `compound-engineering:research:learnings-researcher` for institutional knowledge and past solved problems
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@@ -223,11 +223,11 @@ Use fully-qualified agent names inside Task calls.
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**High-Level Technical Design**
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- `compound-engineering:review:architecture-strategist` for validating that the technical design accurately represents the intended approach and identifying gaps
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- `compound-engineering:research:repo-research-analyst` for grounding the technical design in existing repo patterns and conventions
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- `compound-engineering:research:repo-research-analyst` (Scope: `architecture, patterns`) for grounding the technical design in existing repo patterns and conventions
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- Add `compound-engineering:research:best-practices-researcher` when the technical design involves a DSL, API surface, or pattern that benefits from external validation
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**Implementation Units / Verification**
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- `compound-engineering:research:repo-research-analyst` for concrete file targets, patterns to follow, and repo-specific sequencing clues
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- `compound-engineering:research:repo-research-analyst` (Scope: `patterns`) for concrete file targets, patterns to follow, and repo-specific sequencing clues
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- `compound-engineering:review:pattern-recognition-specialist` for consistency, duplication risks, and alignment with existing patterns
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- Add `compound-engineering:workflow:spec-flow-analyzer` when sequencing depends on user flow or handoff completeness
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@@ -249,6 +249,7 @@ Use fully-qualified agent names inside Task calls.
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#### 3.2 Agent Prompt Shape
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For each selected section, pass:
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- The scope prefix from section 3.1 (e.g., `Scope: architecture, patterns.`) when the agent supports scoped invocation
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- A short plan summary
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- The exact section text
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- Why the section was selected, including which checklist triggers fired
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