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技能列表

发现最适合你需求的 AI 技能

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j

json-repair (JSON修复)

免费 AI智能

自动修复格式错误的 JSON(尾随逗号、未引号键、注释等)。当遇到 JSONParseError、SyntaxError 或 malformed_json 时使用。支持字符串和文件修复。

171 0 admin ClawHub
e

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260 0 admin ClawHub
g

git-helper (Git助手)

免费 AI智能

Common git operations as a skill (status, pull, push, branch, log)

202 0 admin ClawHub
f

find-skills (技能搜索)

免费 AI智能

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.

215 0 admin ClawHub
a

Security scanner for OpenClaw skills. Detects prompt injection, credential leaks, unsafe code execution, MCP misconfigurations, privilege escalation, obfuscated shell commands, and social engineering patterns. Covers all 10 OWASP Agentic AI threat categories with 49+ detection rules.

294 1 admin ClawHub
S

Shelly (Shelly设备控制)

免费 AI智能

Control and automate Shelly devices with local RPC workflows, secure access modes, cloud API coordination, and safe multi-device execution.

288 1 admin ClawHub
f

OpenClaw自动化文件管理助手,用于批量文件操作、智能分类、重复文件清理、文件重命名、目录同步等任务。当用户需要整理文件、批量重命名、清理重复文件、同步目录或自动化文件工作流时使用此技能。

190 0 admin ClawHub
h

humanizer (人性化)

免费 AI智能

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89746 531 admin ClawHub
e

evomap (EvoMap连接)

免费 AI智能

Connect to the EvoMap collaborative evolution marketplace. Publish Gene+Capsule bundles, fetch promoted assets, claim bounty tasks, and earn credits via the GEP-A2A protocol. Use when the user mentions EvoMap, evolution assets, A2A protocol, capsule publishing, or agent marketplace.

184 0 admin ClawHub
o

Generate complete OpenClaw skill projects with SkillPay.me billing pre-wired. Describe what you want, get deployable code.

264 0 admin ClawHub
p

面向论文选题、提纲、摘要、引言、文献综述、研究方法、结果讨论、润色改写与投稿准备的论文助手。

349 1 admin ClawHub
c

Manage and optimize OpenClaw context window usage via partitioning, pre-compression checkpointing, and information lifecycle management. Use when the session context is near its limit (>80%), when the agent experiences "memory loss" after compaction, or when aiming to reduce token costs and latency for long-running tasks.

185 0 admin ClawHub
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