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agent-skills

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Convex Skills for Agents

// repository documentation

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# Convex Agent Skills

Agent skills for common Convex workflows.

## Install

```bash
# Choose which skills you want
npx skills add get-convex/agent-skills

# OR Install all skills
npx skills add get-convex/agent-skills --all
```

## Usage

Skills are applied automatically when the agent determines they're relevant. How
you manually invoke them depends on your tool:

| Tool                     | Manual invocation |
| ------------------------ | ----------------- |
| Cursor                   | `/skill-name`     |
| VS Code (GitHub Copilot) | `/skill-name`     |
| Claude Code              | `/skill-name`     |
| Windsurf                 | `@skill-name`     |
| Codex (OpenAI)           | `$skill-name`     |

For example, to kick off auth setup in Cursor or Claude Code:

```
/convex-setup-auth
```

In Windsurf:

```
@convex-setup-auth
```

## Available Skills

- `convex` - Top-level entry point for Convex work. Recommends installing Convex
  AI files, then routes to a more specific Convex skill.
- `convex-quickstart` - Start a new Convex project or add Convex to an existing
  app.
- `convex-setup-auth` - Set up authentication for a Convex app.
- `convex-create-component` - Build a reusable Convex component with clear
  boundaries.
- `convex-migration-helper` - Plan and run Convex migrations safely.
- `convex-performance-audit` - Investigate Convex performance problems and
  bottlenecks.

## Skill Philosophy

Skills in this repo should be laser-focused on a specific task or workflow.

A good skill helps an agent take action, for example:

- set up authentication
- create a component
- perform a migration
- diagnose performance issues

A skill should not exist just to provide generic background information. If
content is mostly reference material, it should usually live in documentation,
not as a standalone skill.

Reference material is still useful inside a skill, but only when it helps the
agent complete a concrete task.

## Contributing

Before contributing, review the core Agent Skills docs:

- [Overview](https://agentskills.io/home)
- [What are skills?](https://agentskills.io/what-are-skills)
- [Specification](https://agentskills.io/specification)
- [Optimizing skill descriptions](https://agentskills.io/skill-creation/optimizing-descriptions)
- [Evaluating skill output quality](https://agentskills.io/skill-creation/evaluating-skills)

If your skill bundles scripts, also read
[Using scripts in skills](https://agentskills.io/skill-creation/using-scripts).

Install dependencies once with `npm install`, then use:

- `npm run format` to rewrite files
- `npm run format-check` to verify formatting before opening a PR

### Validating Skills

Validate skills by trying to use them in a realistic temp project, not just by
reading them.

- Push the skill as far as possible with an agent in a throwaway directory
- If a human must intervene, ask explicitly for the exact action needed and then
  continue
- Record what worked, where the agent got stuck, and what confused the flow
- Feed those learnings back into the skill so the next run is better
- For UI-facing skills such as auth setup, validate the actual browser flow
  during skill development, not just code generation or a successful build

### Testing with Anthropic's Skill Creator

For a more rigorous approach, use Anthropic's
[skill-creator](https://github.com/anthropics/skills/tree/main/skills/skill-creator)
skill. It provides a structured loop for testing and iterating on skills:

1. Draft or edit a skill
2. Define realistic test prompts and run the skill against them (with and
   without the skill as a baseline)
3. Grade the outputs with assertions and review them in a browser-based viewer
4. Improve the skill based on feedback, then repeat

It also includes a description optimizer that tunes the skill's frontmatter
description for better triggering accuracy across different phrasings.

Install it in Claude Code:

```bash
/install-skill https://github.com/anthropics/skills/tree/main/skills/skill-creator
```

This is especially useful when a skill is complex enough that reading it alone
won't tell you if it actually works well in practice.

Each skill follows the
[Agent Skills open standard](https://github.com/anthropics/skills):

1. Create a directory under `skills/` with the skill name
2. Add a `SKILL.md` file with YAML frontmatter:
   ```yaml
   ---
   name: skill-name
   description: Brief description
   ---
   ```
3. Include comprehensive examples with bad/good patterns
4. Add a checklist at the end of each skill
5. Update this root `README.md` whenever skills are added, removed, renamed, or
   substantially repositioned

agent-skills

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