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Skills/get-convex/agent-skills/convex-optimize
convex-optimize logo

convex-optimize

get-convex/agent-skills
969 installs42 stars
Run it on Hostinger →up to 70% off + an extra 10% with code ZACAARON10Free API →

Installation

npx skills add https://github.com/get-convex/agent-skills --skill convex-optimize

Summary

Audit and optimize an existing Convex app: security, scale, upgrades, observability.

SKILL.md

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

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

  1. Detect the app: a convex/ directory, the schema, and whether it's an anonymous or cloud deployment.
  2. 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.
  3. UPGRADE: run check-updates against the pinned @convex-dev/* components and fold stale-component (staleness-class) findings into the same plan.
  4. OBSERVABILITY: if the readiness report flagged an observability gap (no prod error capture), offer to install sentinel.
  5. 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.
  6. 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.

Score

0–100
63/ 100

Grade

C

Popularity15/30

969 installs — growing adoption.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Convex Optimize skill score badge previewScore badge

Markdown

[![Convex Optimize skill](https://www.claudemarket.ai/skills/get-convex/agent-skills/convex-optimize/badges/score.svg)](https://www.claudemarket.ai/skills/get-convex/agent-skills/convex-optimize)

HTML

<a href="https://www.claudemarket.ai/skills/get-convex/agent-skills/convex-optimize"><img src="https://www.claudemarket.ai/skills/get-convex/agent-skills/convex-optimize/badges/score.svg" alt="Convex Optimize skill"/></a>

Convex Optimize FAQ

How do I install the Convex Optimize skill?

Run “npx skills add https://github.com/get-convex/agent-skills --skill convex-optimize” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Convex Optimize skill do?

Audit and optimize an existing Convex app: security, scale, upgrades, observability. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Convex Optimize skill free?

Yes. Convex Optimize is a free, open-source skill published from get-convex/agent-skills. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Convex Optimize work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Convex Optimize works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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