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@venables/skills

Skills

Skill Description
panel-review-loop Autonomously loop the review-fix-rereview cycle around panel-review — judge which findings are worth fixing, fix them, re-review, repeat until clean, then report what was fixed, what was left alone (and why), and any goal deviations
pr-comment-handler Read every open review comment on a PR, classify each as fix / push-back / defer-to-Linear, drive the work, then post the right reply on each thread (including Fixed in <sha> replies on push)
post-panel-review-comments Triage findings from a panel-review into PR inline comments and Linear tickets via a two-stage select list (auto-falls back to a top-level comment when GitHub rejects an inline)
auto-post-panel-review-comments Zero-touch twin of post-panel-review-comments — post the legitimate findings straight to the PR (mergeable suggestion when the fix is a drop-in, a +1 reaction when a bot already raised it), routing uncertain / out-of-scope ones to Linear, no prompts
auto-review One-shot pipeline: run panel-review, post the findings via auto-post-panel-review-comments, then approve via approve-pr with a short LGTM — but only when the PR passes a strict approval gate (full coverage, LOW/polish-only, sound approach, not a draft, and more; see the skill)
approve-pr Approve the GitHub PR you're discussing (usually after a panel-review) — auto-detect the PR from your branch and stamp it with a short fun body (LGTM or a silly emoji) when no message is given, or your message verbatim when one is
optimize-agents-md Optimize your AGENTS.md (and CLAUDE.md) files according to best practices. Works with monorepos, too
panel-review Fan a code review out to multiple local CLI agents (codex, claude, opencode) in parallel and amalgamate their findings

The catena-labs links above point to skills that have moved to catena-labs/dev-skills.

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MIT

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A collection of useful skills for agents.

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