Convex Optimize
ConvexOfficialPublished by Convex
- Skill
- Workflow
- Software development
- Apache-2.0
- No issues found
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
The convex-optimize skill provides a systematic approach to improving existing Convex applications. It functions by consuming a comprehensive assessment report from the launch-readiness tool to identify security, scalability, and configuration issues. The skill then orchestrates a remediation plan that includes upgrading stale components and configuring observability tools like sentinel, ensuring that critical security and data-loss risks are addressed before minor improvements. It emphasizes a safe, plan-then-confirm-then-apply methodology, concluding with a re-assessment to demonstrate the impact of the applied changes.
What it does
- Detects the application structure including schema and deployment type.
- Consumes audit reports from launch-readiness to generate a prioritized fix plan.
- Checks for and applies updates to pinned Convex development components.
- Installs observability tools like sentinel when gaps are identified.
- Executes remediation steps only after explicit user confirmation.
- Performs post-remediation assessment to verify score improvements.
When to use it
- When preparing a Convex application for production deployment.
- When you need to audit an existing app for security and scalability risks.
- When you want to ensure all Convex dependencies are up to date.
- When you need to implement observability to capture production errors.
Advantages
- Reduces manual effort by automating the remediation of audit findings.
- Prioritizes critical security and data-loss risks automatically.
- Provides a safe workflow with mandatory confirmation before file changes.
- Validates the effectiveness of changes by comparing pre- and post-fix scores.
Usage examples
- “Optimize my current Convex project for production readiness.”
- The agent will scan the project, run a launch-readiness assessment, identify necessary component upgrades, and present a prioritized plan for your approval.
- “Check my Convex app for security issues and missing observability.”
- The agent will audit the codebase, report on identified risks, and offer to install observability tools if they are currently missing.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/convex/convex-optimize/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip convex-optimize.zip -d .agents/skills
Documentation by Convex
<!-- 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
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.
Files
- ATTRIBUTION.mdAdded by AutoGineer854 B
- LICENSELicence file added by AutoGineer10.7 KiB
- SKILL.md2.0 KiB
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Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Security
No issues found by our static scan· No issues found
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Attribution and licence
- Published by
- Convex
- Publisher
- Convex (Official)
- Source
- convex/agent-skills · skills/convex-optimize · commit f60629d
- Licence
- Apache License 2.0 (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by Convex or Convex.
Download ZIP
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