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All Skills

Total 50,391 skills, AI & Machine Learning has 8469 skills

Categories

Showing 12 of 8469 skills

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AI & Machine Learningbytedance/deer-flow

ppt-generation

Use this skill when the user requests to generate, create, or make presentations (PPT/PPTX). Creates visually rich slides by generating images for each slide and composing them into a PowerPoint file.

🇺🇸|EnglishTranslated
27
1 scripts/Checked
AI & Machine Learninggithub/awesome-copilot

what-context-needed

Ask Copilot what files it needs to see before answering a question

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27
AI & Machine Learningguanyang/antigravity-skil...

memory-systems

This skill should be used when the user asks to "implement agent memory", "persist state across sessions", "build knowledge graph", "track entities", or mentions memory architecture, temporal knowledge graphs, vector stores, entity memory, or cross-session persistence.

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26
1 scripts/Checked
AI & Machine Learningsamber/cc-skills

skill-progressive-disclosure-design

Decide how to split skill content between SKILL.md and reference files for context efficiency and reliable triggering. Use this whenever creating a new Claude skill, refactoring an existing one, or when a SKILL.md is growing past 300-400 lines. Also trigger when the user mentions "progressive disclosure", "reference files", "splitting skills", "skill bundling", "context window for skills", "SKILL.md too long", "what goes in references/", "skill structure", or expresses any uncertainty about where to put content within a skill. Use this even if the user phrases the question as a triggering problem ("how do I make my skill trigger better"), because that question is often confused with the splitting question and needs to be disentangled first.

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26
AI & Machine Learningstarchild-ai-agent/offici...

agent-hooks

Manage shell hooks — user scripts that run at agent lifecycle points to block, rewrite, or warn on actions, via the /hooks command.

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26
AI & Machine Learninggoogleworkspace/cli

gws-modelarmor-sanitize-prompt

Google Model Armor: Sanitize a user prompt through a Model Armor template.

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26
AI & Machine Learninghyperb1iss/hyperskills

research

Use this skill when gathering knowledge at scale before making decisions - technology evaluation, SOTA analysis, codebase archaeology, competitive analysis, or any investigation requiring multiple sources. Activates on mentions of research, investigate, evaluate options, what's the best, compare alternatives, state of the art, deep dive, explore the landscape, or find out how.

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26
AI & Machine Learningtw93/waza

health

Audits Claude Code setup across CLAUDE.md, rules, skills, hooks, and MCP. Run when Claude ignores rules, hooks malfunction, or MCP needs auditing. Not for debugging code or reviewing PRs.

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26
AI & Machine Learningequinor/fusion-skills

fusion-mcp

Explain what Fusion MCP is and guide users through setting it up when they need Fusion-aware MCP capabilities in Copilot workflows.

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26
AI & Machine Learningtavily-ai/skills

tavily-research

Conduct comprehensive AI-powered research with citations via the Tavily CLI. Use this skill when the user wants deep research, a detailed report, a comparison, market analysis, literature review, or says "research", "investigate", "analyze in depth", "compare X vs Y", "what does the market look like for", or needs multi-source synthesis with explicit citations. Returns a structured report grounded in web sources. Takes 30-120 seconds. For quick fact-finding, use tavily-search instead.

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25
AI & Machine Learningshubhamsaboo/awesome-llm-...

academic-researcher

Academic research assistant for literature reviews, paper analysis, and scholarly writing. Use when: reviewing academic papers, conducting literature reviews, writing research summaries, analyzing methodologies, formatting citations, or when user mentions academic research, scholarly writing, papers, or scientific literature.

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25
AI & Machine Learningninehills/skills

humanizer-zh

Remove AI generation traces from text. Suitable for editing or reviewing text to make it sound more natural and more like human writing. This is a comprehensive guide based on Wikipedia's "Signs of AI writing". It detects and fixes the following patterns: exaggerated symbolic meaning, promotional language, superficial analysis ending in -ing, vague attribution, overuse of em dashes, rule of three, AI vocabulary, negative parallelism, excessive connecting phrases.

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25
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