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 402 stars 30 forks Updated 2 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 Emit both Agent tool calls below in one assistant message. Each Agent call uses `model: "opus"` and no `name`. Wait for every agent to report before continuing. Do not begin the next step on a partial set, and do not relaunch an agent that has not yet reported. That is two Agent tool calls total. Both agents' prompts must direct them to treat the shared working tree and its git index as read-only and to interpret by reading and reasoning. HEAD stays where it is: read other refs with `git show <ref>:<path>` rather than `git checkout` or `git switch`. ### 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 f...

Details

Author
tobihagemann
Repository
tobihagemann/turbo
Created
6 months ago
Last Updated
2 days ago
Language
Shell
License
MIT

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