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review-feedback-orchestrator

Triage code review feedback from chat text or a markdown file, validate each item against the codebase, produce a fix plan, and hand implementation to subagents. Use when the user wants every review comment verified before fixes are applied.

Quellinformationen

Repository
sunpar/agentic_coding_tools
Letzte Quellaktivität
20. Februar 2026 um 14:25
Erkannte Sprache von SKILL.md
Englisch
Sterne
1
Forks
0

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
review-feedback-orchestrator
description
Triage code review feedback from chat text or a markdown file, validate each item against the codebase, produce a fix plan, and hand implementation to subagents. Use when the user wants every review comment verified before fixes are applied.
disable-model-invocation
true
# Review Feedback Orchestrator ## Inputs - Review feedback source (one of): - comments earlier in the chat, - pasted review text, - a markdown file path. - Optional scope hints (branch, folders, or files). ## Workflow 1. Collect review items from the provided source. - If source is ambiguous, summarize candidate items and proceed with the clearest set. - Normalize each item into: `id`, `summary`, `files`, `suggested_change`. 2. Validate every item before planning fixes: - Read the referenced files and nearby code. - Classify as one of: - `valid-defect` (real bug/risk), - `valid-improvement` (non-blocking but worthwhile), - `not-applicable` (incorrect or stale), - `needs-clarification` (insufficient evidence). - Add evidence for each decision (file paths, snippets, behavior). 3. Build a fix plan only for `valid-defect` and accepted `valid-improvement` items. - Group by dependency order and file overlap. - For each plan item include: objective, target files, acceptance criteria, tests/checks. 4. Dispatch implementation to subagents. - Use the most relevant coding/test subagent for each plan item. - Give each subagent: - exact review item IDs, - validation evidence, - required acceptance criteria, - required verification commands. 5. Track outcomes and reconcile with original review items. - Mark each item: `fixed`, `declined-with-rationale`, or `blocked`. ## Required Output 1. **Review Item Validation Matrix** - Columns: `ID | Verdict | Severity | Evidence | Rationale`. 2. **Implementation Plan** - Ordered checklist with owner subagent and acceptance criteria. 3. **Subagent Dispatch Prompts** - One prompt per implementation task. 4. **Completion Ledger** - Item-by-item status mapped back to the original feedback. ## Rules - Never implement a review item before validating it. - Keep declined items with explicit reasoning and evidence. - Prefer minimal-risk fixes and include regression checks. - If feedback conflicts, surface the conflict and propose a decision path.
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