SkillsAdd

get-convex/agent-skills

convex-improve-convex-plugin

Send this coding session's transcript to the Convex team for an AI post-mortem that improves the quickstart system.

All-time #895 Trending #907 First seen Aug 1, 2026
8-week activity · all time api

Installation

$ npx skills add get-convex/agent-skills --skill convex-improve-convex-plugin
View on skills.sh ↗ GitHub repository ↗
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Security audits

Partner security reviews for this skill.

agent-trust-hub Reviewed

Analyzed Oct 2, 2026

snyk Reviewed

Analyzed Oct 2, 2026

socket Score 0.9000 · 1 alerts

Analyzed Oct 2, 2026

  • license 1
  • maintenance 1
  • quality 0.9
  • supply chain 1
  • vulnerability 1

1 alert

Also in this package

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npx skills add get-convex/agent-skills
convex-quickstart 342 convex-create-component 341 convex 352 convex-performance-audit 94.3K convex-migration-helper 93.8K convex-setup-auth 93.9K convex-expert 343 convex-auth 343 convex-authz 343 convex-migrate 341

Browse all from get-convex/agent-skills

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 53
License LICENSE
Default branch main
Open issues 2
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,801 B
  • docs SUMMARY.md 151 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 18,600 installs

SKILL.md

<!-- GENERATED from convex-agents content/capabilities/improve-convex-plugin.json — do not edit by hand. -->

improve-convex-plugin

Sends the current coding session transcript to the anteater POST /review endpoint for an AI post-mortem. The review returns structured findings (ambiguous instructions, agent-stuck patterns, tooling failures, wins) targeted at the runbook, bootstrap script, skills, and components — not end-user data. Sharing is opt-in: the anteater-served helper asks once (Always / Just this once / Never) and remembers the choice.

Workflow

  1. Run the anteater-served helper: curl -fsSL "<anteater>/send-transcript" | bash -s -- --idea "<one-line app idea from this session>".
  2. If it prints CONSENT_REQUIRED (exit 4), the user has not chosen yet — ask them to share Always, Just this once, or Never, then re-run appending --consent always|once|never. Do not send until they answer.
  3. Watch for output markers: REVIEWSOURCE (transcript found), REVIEWSUBMITTED id=... (accepted), REVIEW_DONE status=done (findings ready).
  4. Summarize the highest-severity findings for the user: title → target → suggestedFix, then wins. Keep the summary about the system, not the user's data.

Rules

  • Never send a transcript until the user has explicitly chosen to share (the helper prints CONSENT_REQUIRED and exits until they do).
  • REVIEWNOTRANSCRIPT means no Claude/Codex .jsonl was found — tell the user.
  • Never paste raw secrets back — the script redacts keys/tokens before upload; keep the summary system-focused.
  • This is a system-improvement loop, not end-user feature feedback.