feat: fix skill transformation pipeline across all targets (#334)
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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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