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Convex Performance Audit

Skill 已验证
88

Audits Convex performance for reads, subscriptions, write contention, and function limits. Use for slow features, insights findings, OCC conflicts, or read amplification.

AI 摘要

This skill assists in diagnosing and resolving performance bottlenecks within Convex applications by analyzing reads, subscriptions, write contention, and function limits. It provides a structured workflow, directs users to relevant reference materials based on identified signals, and emphasizes a step-by-step approach to fixes and verification.

Maintenance

  • warning:Commit recencyThere are no commits on the default branch in the last 12 months, indicating the skill may be unmaintained.

Versioning

  • warning:Release ManagementThere is no explicit versioning information (e.g., in SKILL.md frontmatter, package.json, or CHANGELOG) and installation instructions reference the 'main' branch, making version pinning impossible.

Practical Utility

  • warning:Usage examplesThe skill does not provide explicit end-to-end usage examples showing input, invocation, and output. While the reference files offer patterns, concrete examples are missing.

安装

npx skills add get-convex/agent-skills

通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。

更新于 7 days ago
查看源代码

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