starraider/ai-skills-plugin

unversioned · 9d8b8ed549d7CC-BY-4.0

Portable Agent Skills for AI-harness diagnosis, AGENTS.md guidance, prompt design, IDE-native agents, hooks, slash commands, workflow creation, skill authoring and upkeep, and Agent Plugin creation.

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AI Skills Plugin

A portable Agent Plugins 1.0.0 package containing reusable Agent Skills for AI-harness diagnosis, prompt design, IDE-native agent, hook, and slash-command creation, Skill authoring and upkeep, and Agent Plugin creation.

Installation

Install the complete Agent Plugin in Codex, Cursor, GitHub Copilot, or Visual Studio Code.
Install individual Agent Skills in Antigravity, OpenCode, Windsurf, Zed, Trae, or Qoder.

Included Skills

Skill	Purpose
`improve-my-ai-harness`	Diagnose an AI-IDE problem, select the smallest suitable harness mechanism or combination, and produce a builder-routed implementation prompt.
`improve-skill`	Review Skills used in a completed conversation and produce an approval-ready, general-purpose improvement plan without editing them.
`new-agent`	Create least-privilege, IDE-native agents for Antigravity, Codex, ChatGPT, Zed, OpenCode, Qoder, or Orca.
`new-agents-md`	Create concise, target-aware `AGENTS.md` repository instructions for Antigravity, Codex, ChatGPT, Zed, OpenCode, Qoder, or Orca.
`new-hook`	Decide whether an event hook is appropriate and create a target-native hook or supported alternative.
`new-plugin`	Create, migrate, validate, package, and release Agent Plugins 1.0.0.
`new-prompt`	Create and improve ready-to-use LLM prompts.
`new-skill`	Create, validate, evaluate, and package portable Agent Skills.
`new-slash-command`	Decide whether a reusable task should be a slash command and create the target-native command or supported alternative.
`new-workflow`	Decide whether a workflow is appropriate and create a target-native workflow or supported alternative.

Compatible clients discover each immediate child of skills/ that contains a valid SKILL.md. This package has no MCP servers, so it intentionally omits mcp.json.

Validation

From the plugin root, run:

python3 skills/new-plugin/scripts/validate_agent_plugin.py . --strict

Validate individual Skills with the Agent Skills reference validator or their own bundled validation commands.

Create a deterministic portable archive and validate the extracted copy with:

python3 skills/new-plugin/scripts/package_agent_plugin.py . \
  --output /tmp/ai-skills-plugin.zip

Standard boundary

Agent Plugins 1.0.0 standardizes the root manifest, Agent Skills, and optional MCP configuration. Client installation, permissions, enablement, and UI remain client-managed.

License

This project and all contained Agent Skills are licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).