Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/convex/agent-skills --skill convex-optimize- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads convex-optimize automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
Security audits
Independent scans of the skill's instructions and bundled files.
SKILL.md
The instructions your agent reads when the skill is triggered.
Audit and optimize an existing Convex app
The remediation WORKFLOW for an existing app: open with a scored assessment, then act on it — upgrade stale components and set up observability — plan-then-confirm-then-apply. The assessment itself is delegated to launch-readiness (the findings-bus scorer); optimize's distinct value is the actions it takes on the result.
Workflow
- Detect the app: a
convex/directory, the schema, and whether it's an anonymous or cloud deployment. - ASSESS via
launch-readiness— one scored, deduped report across authz/reviewer/advisor/insights with an ordered fix plan. Do not re-run those passes by hand; optimize consumes launch-readiness's report rather than re-implementing the audit. - UPGRADE: run
check-updatesagainst the pinned@convex-dev/*components and fold stale-component (staleness-class) findings into the same plan. - OBSERVABILITY: if the readiness report flagged an observability gap (no prod error capture), offer to install
sentinel. - Present the combined prioritized plan — the launch-readiness score + the fix plan + upgrades + observability, security/data-loss first — and apply only on explicit confirmation, dispatching each fix to its fixCapability.
- After applying, re-run the launch-readiness assessment and show the score delta.
Rules
- Read-only first. Present a plan and CONFIRM before changing any file.
- Delegate the audit to launch-readiness (the findings-bus scorer); don't re-implement reviewer/advisor/insights inline — optimize's job is acting on the report (upgrades + observability), not re-scoring.
- Prioritize security and data-loss risks above style, following launch-readiness's ordering.
- Never auto-land changes on someone's existing prod app; re-assess after applying and show the score moved.
FAQ
What does the convex-optimize skill do?
Audit and optimize an existing Convex app: security, scale, upgrades, observability.
How do I install convex-optimize?
Run npx skills add https://github.com/convex/agent-skills --skill convex-optimize in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/convex-optimize/ (personal) or .claude/skills/convex-optimize/ (project).
Which AI agents can use convex-optimize?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is convex-optimize safe to install?
Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk passed. As with any skill, read the SKILL.md and bundled scripts before installing.
Who maintains convex-optimize?
It is published by convex in convex/agent-skills. It has 36,412 recorded installs.
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