interpret-feedback

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Interpret third-party feedback by running parallel internal and peer interpretations to surface intent, correctness concerns, and ambiguities. Use when the user asks to "interpret feedback", "interpret comments", "what does this feedback mean", "clarify reviewer intent", "understand this review", or "interpret these suggestions".

Code & Development 335 stars 26 forks Updated 5 days ago MIT

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Skill Content

# Interpret Feedback Run two independent interpretations of third-party feedback in parallel (internal + codex peer), then reconcile into enriched items with clear intent summaries. Designed for feedback where the author's intent is ambiguous or the correctness of suggestions is uncertain. ## Step 1: Identify Feedback Items Determine the feedback to interpret: - If feedback items are in conversation context, use them - If a file path or URL was provided, read or fetch the content - If called by another skill, use the items passed in For each item, collect whatever context is available: code snippets, diffs, surrounding discussion, file paths, line numbers. More context produces better interpretation. ## Step 2: Run Two Interpretations in Parallel Launch two Agent tool calls in a single message (`model: "opus"`, do not set `run_in_background`): ### Internal Interpretation Spawn a subagent with the feedback items and all available context. Instruct it to: 1. Read all referenced code and surrounding context 2. For each feedback item, produce: - **Intent**: What the feedback author most likely wants changed and why (one to two sentences) - **Correctness**: Whether the suggestion is technically sound — flag concerns if the reviewer may be mistaken, with evidence - **Ambiguity**: Note where the intent is unclear or where multiple valid readings exist 3. Return structured results per item ### Run `/peer-review` Skill Spawn a subagent whose prompt includes the fe...

Details

Author
tobihagemann
Repository
tobihagemann/turbo
Created
3 months ago
Last Updated
5 days ago
Language
Python
License
MIT

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