AI-Assisted Development

Use AI coding agents to contribute to skillshare with pre-built project skills.

Prerequisites

• An AI coding agent (Claude Code, Codex, etc.)
• The skillshare repository cloned locally

Setup

The repo ships project-mode skills in .skillshare/skills/. Sync them to your agent:

skillshare sync -p

Your AI agent now has access to specialized skills for working on this codebase.

Available Skills

Skill	What it does
implement-feature	Implement a feature from a spec file or description using TDD workflow
update-docs	Update website docs to match recent code changes, cross-validating every flag against source
codebase-audit	Cross-validate CLI flags, docs, tests, and targets for consistency across the codebase
cli-e2e-test	Run isolated E2E tests in devcontainer from runbooks
changelog	Generate a CHANGELOG.md entry from recent commits in conventional format

Typical Workflow

1. Start a feature — ask your agent to use implement-feature with a spec
2. Update docs — after code changes, invoke update-docs to sync website docs
3. Audit consistency — run codebase-audit to catch flag/doc mismatches
4. Run E2E tests — use cli-e2e-test to verify in a sandbox
5. Write changelog — invoke changelog before release

What's Next?

• Dev Containers setup →
• Interactive Playground →
• Contributing guide →