# Convex Launch Readiness

Run every Convex audit (authz, reviewer, advisor, insights) into one scored, deduped...

- Repository: https://github.com/openclaw/clawhub (9543 stars)
- Category: Engineering
- License: MIT
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add openclaw/clawhub --skill convex-launch-readiness -g -a claude-code -y`
Codex: `npx skills add openclaw/clawhub --skill convex-launch-readiness -g -a codex -y`
Cursor: `npx skills add openclaw/clawhub --skill convex-launch-readiness -g -a cursor -y`
Gemini CLI: `npx skills add openclaw/clawhub --skill convex-launch-readiness -g -a gemini-cli -y`

## Description

Run every Convex audit (authz, reviewer, advisor, insights) into one scored, deduped readiness report with an ordered fix plan, Lighthouse for your backend.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

<!-- GENERATED from convex-agents content/capabilities/launch-readiness.json, do not edit by hand. -->

# Launch-readiness report

Readiness is not one check, it's the union of the checks, deduped, ranked, and scored. This capability is pure composition over the findings bus (specs/finding.schema.json): it runs each audit capability, normalizes their outputs into one report (specs/finding-report.schema.json), computes an auditable score, and, because every finding names a fixCapability, hands the user a prioritized, actionable punch list instead of four separate reports. It fixes nothing itself; it decides WHAT to fix and in what order, then dispatches to the fixers.

## Workflow

The rest: https://github.com/openclaw/clawhub/blob/HEAD/.agents/skills/convex-launch-readiness/SKILL.md