Detect installed AI coding CLIs and local model providers; outputs a cached JSON inventory for routing (/detect-clis).
Detects installed AI coding CLIs and local model providers, caching results for routing.
/plugin marketplace add cruzanstx/daplug/plugin install daplug@cruzanstxThis skill is limited to using the following tools:
scripts/__init__.pyscripts/cache.pyscripts/detect_clis.pyscripts/detector.pyscripts/fixer.pyscripts/plugins/__init__.pyscripts/plugins/aider.pyscripts/plugins/base.pyscripts/plugins/claude.pyscripts/plugins/codex.pyscripts/plugins/gemini.pyscripts/plugins/ghcopilot.pyscripts/plugins/goose.pyscripts/plugins/opencode.pyscripts/providers/__init__.pyscripts/providers/base.pyscripts/providers/lmstudio.pyscripts/providers/ollama.pyscripts/providers/vllm.pyscripts/router.pyPhase 1: Detect installed Tier 1 coding CLIs (Claude, Codex, Gemini, OpenCode) via an extensible plugin system.
Run the /detect-clis renderer (tables + optional fixes):
python3 skills/cli-detector/scripts/detect_clis.py
python3 skills/cli-detector/scripts/detect_clis.py --json
python3 skills/cli-detector/scripts/detect_clis.py --dry-run
python3 skills/cli-detector/scripts/detect_clis.py --reset
python3 skills/cli-detector/scripts/detect_clis.py --fix
Run a scan and print JSON:
python3 skills/cli-detector/scripts/detector.py --scan
Verbose scan (progress to stderr, JSON to stdout):
python3 skills/cli-detector/scripts/detector.py --scan --verbose
List plugins:
python3 skills/cli-detector/scripts/detector.py --list-plugins
Check a specific CLI:
python3 skills/cli-detector/scripts/detector.py --check codex
Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat. Use for discovering, retrieving, and improving prompts.
Search, retrieve, and install Agent Skills from the prompts.chat registry using MCP tools. Use when the user asks to find skills, browse skill catalogs, install a skill for Claude, or extend Claude's capabilities with reusable AI agent components.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.