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Convex Launch Readiness

Combine Convex audits into one scored readiness report with an ordered fix plan

Source Download skill
Repository
openclaw/clawhub
Stars
9,546
Licence
MIT
Files
1 file

What it does

This skill makes the agent run several Convex backend audits (authorization, code review, performance advice, and recent error logs) and merge their findings into a single report. The report gives a score that is calculated from confirmed issues only, with the formula shown, and lists each issue with its evidence and a suggested fix. It ends with an ordered plan for which fixer to run next, starting with data-loss and security problems. It does not fix anything itself; it decides what to fix and hands off to other audit or fixer capabilities when the user asks.

Great for

  • Developers preparing a Convex app for production launch who want one prioritized list of problems
  • Teams that already use the separate Convex audit capabilities and want them aggregated
  • Anyone who wants a reproducible readiness score that reports clearly which checks were skipped

Skip it if

  • Projects that are not built on Convex, since the audits it runs target Convex code and deployments
  • Quick one-off code reviews, because it runs several passes and produces a full report that may be heavier than needed
  • Treating a code-only score as proof of production readiness, since the skill itself says a code-only run is not production-verified

Try asking

  • “Run a launch-readiness check on my Convex project and give me a prioritized fix plan”
  • “Score my Convex backend for production and show which audits were skipped and why”
  • “After fixing the blockers, re-run the readiness passes and show me the score change”
Step-by-step guide: how to use Convex Launch ReadinessInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 1 original files, the MIT licence and an attribution note.

    convex-launch-readiness.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip convex-launch-readiness.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip convex-launch-readiness.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Check the report header to see which passes ran and which were skipped before trusting the score
  • Treat a code-only score as 'code looks ready', not production-verified, and run against a deployment for live evidence
  • Review each fix before accepting it, since the fixer capabilities have their own consent and deploy-target rules

What's inside

  • SKILL.md

Redistributed unmodified from openclaw/clawhub under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.