发现优质的 AI Agent 技能

聚合 Claude Skills、LangChain、AutoGPT 等优质资源,助力开发者快速构建智能应用

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共 376 个技能

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Iran Intelligence Radar

Iran Intelligence Radar is an OSINT-focused skill for detecting meaningful geopolitical signals from Persian-language discourse on X (Twitter). It scans configured keywords and accounts, filters and ranks high-engagement posts, translates content for multilingual analysis, computes escalation risk, and outputs a structured Markdown intelligence report.

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Markdown to PDF

Convert markdown documents to professional, clean PDFs with proper formatting.

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QMD Search Skill

Search markdown knowledge bases efficiently using qmd, a local indexing tool that uses BM25 + vector embeddings to return only relevant snippets instead of full files.

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Agent Context System

Agents start from zero every session. This skill solves that with two markdown files: one committed (`AGENTS.md`), one gitignored (`.agents.local.md`). You read both at session start, update the scratchpad at session end, and promote stable patterns over time.

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File to Markdown — Skill

来自 openclaw/skills 技能

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场景:Markdown 转 Block 写入

将 Markdown 内容解析并转换为云知 Block 结构写入文档。

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场景:Markdown 导入知识库

将 Markdown 文件导入到云知知识库。

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🔍 GitHub Intelligence

Analyze any GitHub repository in AI-friendly format. Convert repos to markdown, generate architecture diagrams, understand structure and patterns.

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🔍 GitHub Intelligence

Analyze any GitHub repository in AI-friendly format. Convert repos to markdown, generate architecture diagrams, understand structure and patterns.

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Expense Tracker

Log and track daily expenses in markdown files organized by month.

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Expense Tracker

Log and track daily expenses in markdown files organized by month.

aimarkdownopenclawarchive+1
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Compression Prompts

LLM prompts used by claw-compactor, adapted from claude-mem's observation compression approach. Claude-mem captures tool observations as structured XML (`<observation>` → type, title, facts, narrative, concepts). Our prompts adapt this principle for flat markdown memory files — extracting and preserving the same categories of information while aggressively removing filler.

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