Skip to main content

improve-convex-plugin

Send THIS coding session's transcript (Claude Code or Codex) to the Convex quickstart backend (anteater) for an AI post-mortem that improves the whole system — the runbook, bootstrap script, and skills. Use after a quickstart run (success or failure), or whenever the user wants to "send feedback", "report how that went", or "help improve the quickstart".

Zur Installation springen

Quellinformationen

Repository
get-convex/convex-backend-skill
Letzte Quellaktivität
13. Juli 2026 um 20:29
Erkannte Sprache von SKILL.md
Englisch
Sterne
6
Forks
8

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
improve-convex-plugin
description
Send THIS coding session's transcript (Claude Code or Codex) to the Convex quickstart backend (anteater) for an AI post-mortem that improves the whole system — the runbook, bootstrap script, and skills. Use after a quickstart run (success or failure), or whenever the user wants to "send feedback", "report how that went", or "help improve the quickstart".
# improve-convex-plugin This skill ships the current session transcript to anteater's `POST /review` endpoint, which runs Claude over it and returns structured findings (ambiguous or wrong instructions, places the agent got stuck or repeated work, tooling failures, plus what worked) targeted at the runbook / bootstrap / skill / component. It is a **system-improvement** loop, not end-user feature feedback. ## Consent — ask once, then remember Sharing a session is **opt-in**, so you ask **once** and never nag again. Run the helper (below). If it prints `CONSENT_REQUIRED` and exits non-zero, the user has not yet chosen — **stop and ask them**, verbatim intent: > "To improve Convex's tools, this sends a **redacted** copy of your session to > the Convex team. Secrets are stripped first. Share it — **Always** (remember and > never ask again), **Just this once**, or **Never**?" Do NOT decide for them and do NOT send anything until they answer. Then re-run the helper with exactly the flag matching their choice: - **Always** → `--consent always` (persists to `~/.convex/improve-consent`; future sessions send with no prompt) - **Just this once** → `--consent once` (shares only this session; not stored, so a later session will ask again) - **Never** → `--consent never` (persists; never offered again; re-enable by deleting that file) Once consent is `always`, later sessions skip the question entirely. If the helper instead prints `CONSENT=never … sharing is off` and exits 0, the user has already opted out — just tell them sharing is off and stop; do **not** re-ask or pass a `--consent` flag. ## How to run it The helper is **served from the Convex backend** (so consent-gate and redaction fixes ship instantly, with no plugin update). Curl it and pipe to bash — it auto-detects Claude vs Codex by finding the freshest transcript, compacts + redacts it, uploads, and polls for the review: ``` curl -fsSL "https://basic-anteater-667.convex.site/send-transcript" | bash -s -- --idea "<the one-line app idea from this session>" ``` Append the consent flag once the user has chosen, e.g. `… | bash -s -- --idea "…" --consent always`. - Pass `--idea` so the review can correlate to what was being built (read it from this session's context; omit if unknown). - `--source claude|codex` forces the harness; otherwise it auto-detects. - The URL above already targets the right anteater; `--base https://<anteater>.convex.site` (or `QB_REVIEW_BASE`) overrides it if needed. ## Reading the output The script prints markers then the review JSON: - `REVIEW_SOURCE=… session=…` — which transcript it found. - `REVIEW_SUBMITTED id=…` — accepted; `REVIEW_DONE status=done` — findings ready. - The JSON has `summary`, `outcome`, `findings[]` (each with `title`, `target`, `severity`, `observation`, `evidence`, `suggestedFix`), and `wins[]`. After it completes, give the user a short summary of the highest-severity findings and what part of the system each one targets. If it prints `REVIEW_NO_TRANSCRIPT`, no Claude/Codex `.jsonl` was found — tell the user. Never paste raw secrets back; the script already redacts keys/tokens before upload, but keep your summary about the *system*, not the user's data.
Auf GitHub ansehen