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All Skills

Total 56,878 skills, AI & Machine Learning has 9458 skills

Categories

Showing 12 of 9458 skills

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AI & Machine Learningrefly-ai/refly-skills

ai-readability-audit

AI可读性审计工具,模拟AI爬虫视角评估网站对大语言模型的友好程度,分析结构化数据、语义HTML和Meta信息

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17
AI & Machine Learninggreyhaven-ai/claude-code-...

grey-haven-tool-design

Design effective MCP tools and Claude Code integrations using the consolidation principle. Fewer, better-designed tools dramatically improve agent success rates. Use when creating MCP servers, designing tool interfaces, optimizing tool sets, or when user mentions 'tool design', 'MCP', 'fewer tools', 'tool consolidation', 'tool architecture', or 'tool optimization'.

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17
AI & Machine Learningstarwreckntx/irp__methodo...

whole-brain-emulation-core-simulation

Simulate whole-brain emulation core processes.

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17
AI & Machine Learningmetta-ai/tribal-village

ai-chain-modularize-plan

Create a plan to modularize the AI include chain.

🇺🇸|EnglishTranslated
17
AI & Machine Learningplurigrid/asi

agent-o-rama

' Layer 4: Learning and Pattern Extraction for Cognitive Surrogate Systems'

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17
AI & Machine Learningletta-ai/letta-code

syncing-memory-filesystem

Manage git-backed memory repos. Load this skill when working with git-backed agent memory, setting up remote memory repos, resolving sync conflicts, or managing memory via git workflows.

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17
AI & Machine Learningzura1555/agents

blog-trend-researcher

Researches topics and trends for blog content with parallel multi-agent execution. USE WHEN orchestrator invokes research phase OR user says 'research topic', 'find trends', 'gather information for blog'.

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17
AI & Machine Learningirangareddy/openclaw-esse...

openclaw-agent-builder

Build specialized openclaw agents with proper workspace structure, identity, and skills

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17
AI & Machine Learningpluginagentmarketplace/cu...

data-engineering

Data engineering, machine learning, AI, and MLOps. From data pipelines to production ML systems and LLM applications.

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17
1 scripts/Checked
AI & Machine Learningmulticam/qara

prompting

Prompt engineering standards and context engineering principles for AI agents based on Anthropic best practices. Covers clarity, structure, progressive discovery, and optimization for signal-to-noise ratio.

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17
AI & Machine Learningyunshu0909/yunshu_skillsh...

thinking-partner

Thinking Partner - Help you sort out the situation from chaos, lock in core problems, break down bottlenecks, co-create solutions, and implement actions

🇨🇳|ChineseTranslated
17
AI & Machine Learningdanielmiessler/paiplugin

research

Multi-source comprehensive research using perplexity-researcher, claude-researcher, and gemini-researcher agents. Launches up to 10 parallel research agents for fast results. USE WHEN user says 'do research', 'research X', 'find information about', 'investigate', 'analyze trends', 'current events', or any research-related request.

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