What problem does it solve?
Convex quickstart maintainers lack visibility into where AI coding agents get stuck when following the quickstart runbook, bootstrap script, and skills. This Skill closes that feedback loop by submitting the current session transcript for a structured AI post-mortem.
Core Features & Use Cases
- Transcript Submission: Runs an anteater-served helper script that locates the Claude/Codex .jsonl transcript and POSTs it to the /review endpoint.
- Consent-Gated Sharing: Sharing is opt-in; the helper prints CONSENT_REQUIRED until the user explicitly chooses Always, Just this once, or Never.
- Structured Findings: Returns findings (ambiguous instructions, agent-stuck patterns, tooling failures, wins) with title, target, and suggestedFix, plus automatic redaction of keys and tokens before upload.
- Use Case: After finishing a Convex quickstart session where the agent struggled with setup steps, submit the transcript so the Convex team receives a post-mortem identifying which runbook instructions confused the agent.
Quick Start
Ask the agent to send this session's transcript to the Convex team for review, then choose a sharing consent option when prompted.