Best use case
plugin-discovery is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
plugin discovery
Teams using plugin-discovery should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/plugin-discovery/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How plugin-discovery Compares
| Feature / Agent | plugin-discovery | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
plugin discovery
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
Discover and load plugins dynamically 1. For static Rust plugins: a. Create plugin instance b. Validate implements traits c. Register with registry 2. For Python plugins: a. Scan module paths b. Import modules c. Find plugin classes d. Validate implements protocol e. Instantiate with PyO3 f. Register with registry 3. Validate before registration: - Check required methods exist - Verify method signatures - Test initialization 4. Handle discovery errors gracefully 5. Report unregistered plugins
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