skill-discovery
Scan and catalog all available skills, agents, commands, hooks, and rules in the project. Use this skill whenever someone asks 'what skills are available', 'list agents', 'show me the registry', 'update the skill catalog', 'what can I use', 'what tools do I have', or any question about discovering, listing, or inventorying the project's AI capabilities. Also trigger when generating prompts that need to know what skills exist, or when setting up a new session and wanting to confirm available tooling.
- License 许可
- MIT
- 最近更新
- 2026-04-18
- Stars
- ★ 0
- Forks
- 0
01 前言 Front Matter
- name
- skill-discovery
- description
- Scan and catalog all available skills, agents, commands, hooks, and rules in the project. Use this skill whenever someone asks 'what skills are available', 'list agents', 'show me the registry', 'update the skill catalog', 'what can I use', 'what tools do I have', or any question about discovering, listing, or inventorying the project's AI capabilities. Also trigger when generating prompts that need to know what skills exist, or when setting up a new session and wanting to confirm available tooling.
02 资源文件 2
- 参考文档references/registry-schema.md5.8 KB
- 脚本scripts/scan_registry.sh9.9 KB
03 SKILL.md 正文
Skill Discovery
Scan and catalog all available skills, agents, commands, hooks, and rules in the project. Produces a structured skills-registry.json and presents a formatted summary.
Steps
Step 1: Run the Scanner
Execute the registry scanner script from the repo root:
cd "D:/ailocal/acm-ai" && bash .claude/skills/skill-discovery/scripts/scan_registry.sh
This generates skills-registry.json at the repo root with a full inventory of all capabilities.
Step 2: Read the Generated Registry
Read the generated file:
D:/ailocal/acm-ai/skills-registry.json
Step 3: Present a Formatted Summary
Present the results grouped by type. Use this format:
## Skills Registry Summary
Scanned at: <scanned_at>
### Skills (<count> total)
| Name | Description | Location | Platforms |
|------|-------------|----------|-----------|
| pydantic-models-py | Create Pydantic models... | .claude/skills/... | claude-code |
| ... | ... | ... | ... |
### Commands (<count> total)
| Name | Description |
|------|-------------|
| start | Start development services |
| ... | ... |
### Hooks (<count> total)
| Name | Trigger |
|------|---------|
| pre-tool-use.sh | PreToolUse |
| ... | ... |
### Rule Categories (from CLAUDE.md)
- Project Overview
- Essential Commands
- Architecture
- ...
Step 4: Filter if Requested
If the user asks to filter (e.g., "show me debugging skills", "list only frontend skills"):
- Filter
skillsarray by matching keywords againstnameanddescriptionfields - Present the filtered subset using the same table format
- Note how many skills were hidden: "Showing 3 of 12 skills (filtered by 'debug')"
Quick Reference
The following skills are available in this project (populated after first scan):
| Name | One-line Description |
|---|---|
pydantic-models-py |
Create Pydantic v2 models following multi-model pattern |
acm-observability |
ACM-AI 6-tool observability stack reference |
systematic-debugging |
Structured debugging process before proposing fixes |
dispatching-parallel-agents |
Dispatch 2+ independent tasks in parallel |
subagent-driven-development |
Execute plans via focused sub-agents |
planning-with-files |
Persistent markdown-based planning for session continuity |
verification-before-completion |
Verify work before claiming completion |
skill-discovery |
This skill — scan and catalog all AI capabilities |
Run the scanner to get the full up-to-date list including all installed skills.
Notes
- Skills can live in
.claude/skills/(Claude Code) or.agents/skills/(agent platform) or both - Skills with
also_atentries appear in multiple registries — they are the same skill - The registry is regenerated on each scan; commit
skills-registry.jsonto track changes over time - Hooks are found in
.claude/hooks/— they run automatically based on trigger type - Commands are in
commands/(surreal-commands worker handlers, not slash commands)
04 同仓库更多 Skills
uncodixfy
Prevents generic AI/Codex UI patterns when generating frontend code. Use this skill whenever generating HTML, CSS, React, Vue, Svelte, or any frontend UI code to enforce clean, human-designed aesthetics inspired by Linear, Raycast, Stripe, and GitHub instead of typical AI-generated UI.
runpodctl
Runpod CLI to manage your GPU workloads.
langgraph-persistence
INVOKE THIS SKILL when your LangGraph needs to persist state, remember conversations, travel through history, or configure subgraph checkpointer scoping. Covers checkpointers, thread_id, time travel, Store, and subgraph persistence modes.
langgraph-human-in-the-loop
INVOKE THIS SKILL when implementing human-in-the-loop patterns, pausing for approval, or handling errors in LangGraph. Covers interrupt(), Command(resume=...), approval/validation workflows, and the 4-tier error handling strategy.
langgraph-fundamentals
INVOKE THIS SKILL when writing ANY LangGraph code. Covers StateGraph, state schemas, nodes, edges, Command, Send, invoke, streaming, and error handling.
langchain-rag
INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI), and vector stores (Chroma, FAISS, Pinecone).