cjl-skill-map

Skill map viewer. Scans all installed skills and renders a visual overview — name, version, description, category at a glance. Use when user says 'skills', '技能', '技能地图', 'skill map', '我有哪些技能', '看看技能', '列出技能', 'list skills'. Also trigger when user asks what skills are available or installed.

3,891 stars

Best use case

cjl-skill-map is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Skill map viewer. Scans all installed skills and renders a visual overview — name, version, description, category at a glance. Use when user says 'skills', '技能', '技能地图', 'skill map', '我有哪些技能', '看看技能', '列出技能', 'list skills'. Also trigger when user asks what skills are available or installed.

Teams using cjl-skill-map 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

$curl -o ~/.claude/skills/cjl-skill-map/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/0xcjl/cjl-plugin/skills/cjl-skill-map/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/cjl-skill-map/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How cjl-skill-map Compares

Feature / Agentcjl-skill-mapStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Skill map viewer. Scans all installed skills and renders a visual overview — name, version, description, category at a glance. Use when user says 'skills', '技能', '技能地图', 'skill map', '我有哪些技能', '看看技能', '列出技能', 'list skills'. Also trigger when user asks what skills are available or installed.

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.

Related Guides

SKILL.md Source

# cjl-skill-map: 技能地图

扫描 `~/.claude/skills/` 下所有已安装技能,生成一目了然的可视化地图。

## 执行

### 1. 扫描

运行 `scripts/scan.sh`,获取所有技能的 JSON 数据(name, version, invocable, desc)。

### 2. 分类

根据技能名称和描述,将技能自动归入以下类别:

| 类别 | 图标 | 含义 | 典型成员 |
|------|------|------|----------|
| 认知原子 | ◆ | 内容处理的原子操作 | cjl-plain, cjl-word, cjl-writes, cjl-paper |
| 输出铸造 | ▲ | 将内容转化为可交付物 | cjl-card |
| 联网触达 | ● | 与外部世界交互 | agent-reach |
| 系统运维 | ■ | Agent 自身的维护和管理 | datetime-check, memory-review, save-conversation, skill-creator, cjl-skill-map |
| 环境部署 | ★ | 一次性安装和配置 | Her-init |

归类依据名称前缀和描述关键词判断。遇到新技能无法归类时,放入「未分类」。

### 3. 渲染

用 ASCII 方框图呈现,格式如下:

```
╔══════════════════════════════════════════════════════════╗
║              SKILL MAP  ·  {N} skills installed         ║
╠══════════════════════════════════════════════════════════╣
║                                                          ║
║  ◆ 认知原子                                              ║
║  +-----------------+----------------------------------+  ║
║  | cjl-plain v4.0  | 白 — 好问题+类比让人 grok        |  ║
║  | cjl-word  v1.0  | 英文单词深度拆解                  |  ║
║  | cjl-writes v4.0 | 写作引擎                          |  ║
║  | cjl-paper v2.0  | 论文阅读与分析                    |  ║
║  +-----------------+----------------------------------+  ║
║                                                          ║
║  ▲ 输出铸造                                              ║
║  +-----------------+----------------------------------+  ║
║  | cjl-card  v1.5  | 铸 — 内容转 PNG 可视化           |  ║
║  +-----------------+----------------------------------+  ║
║                                                          ║
║  ...                                                     ║
╚══════════════════════════════════════════════════════════╝
```

规则:
- 每个类别一个区块,类别图标 + 中文名做标题
- 技能名左对齐,版本号紧跟(无版本显示 `-`)
- 描述截断到一行,保留核心语义
- user_invocable 为 true 的技能名后加 `/` 标记(表示可直接 `/技能名` 调用)
- 底部统计行:总数、可调用数、分类数

### 4. 输出

直接在对话中渲染 ASCII 地图。不生成文件,不写入磁盘。

Related Skills

---

3891
from openclaw/skills

name: article-factory-wechat

Content & Documentation

humanizer

3891
from openclaw/skills

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

Content & Documentation

find-skills

3891
from openclaw/skills

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.

General Utilities

tavily-search

3891
from openclaw/skills

Use Tavily API for real-time web search and content extraction. Use when: user needs real-time web search results, research, or current information from the web. Requires Tavily API key.

Data & Research

baidu-search

3891
from openclaw/skills

Search the web using Baidu AI Search Engine (BDSE). Use for live information, documentation, or research topics.

Data & Research

agent-autonomy-kit

3891
from openclaw/skills

Stop waiting for prompts. Keep working.

Workflow & Productivity

Meeting Prep

3891
from openclaw/skills

Never walk into a meeting unprepared again. Your agent researches all attendees before calendar events—pulling LinkedIn profiles, recent company news, mutual connections, and conversation starters. Generates a briefing doc with talking points, icebreakers, and context so you show up informed and confident. Triggered automatically before meetings or on-demand. Configure research depth, advance timing, and output format. Walking into meetings blind is amateur hour—missed connections, generic small talk, zero leverage. Use when setting up meeting intelligence, researching specific attendees, generating pre-meeting briefs, or automating your prep workflow.

Workflow & Productivity

self-improvement

3891
from openclaw/skills

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.

Agent Intelligence & Learning

botlearn-healthcheck

3891
from openclaw/skills

botlearn-healthcheck — BotLearn autonomous health inspector for OpenClaw instances across 5 domains (hardware, config, security, skills, autonomy); triggers on system check, health report, diagnostics, or scheduled heartbeat inspection.

DevOps & Infrastructure

linkedin-cli

3891
from openclaw/skills

A bird-like LinkedIn CLI for searching profiles, checking messages, and summarizing your feed using session cookies.

Content & Documentation

notebooklm

3891
from openclaw/skills

Google NotebookLM 非官方 Python API 的 OpenClaw Skill。支持内容生成(播客、视频、幻灯片、测验、思维导图等)、文档管理和研究自动化。当用户需要使用 NotebookLM 生成音频概述、视频、学习材料或管理知识库时触发。

Data & Research

小红书长图文发布 Skill

3891
from openclaw/skills

## 概述

Content & Documentation