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AI Agent Skills Directory with categorization, English/Chinese translation, and script security checks.

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All Skills

Total 50,504 skills, AI & Machine Learning has 8478 skills

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Showing 12 of 8478 skills

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AI & Machine Learningruvnet/ruflo

agent-multi-repo-swarm

Agent skill for multi-repo-swarm - invoke with $agent-multi-repo-swarm

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15
AI & Machine Learningheygen-com/skills

create-video

Create videos from a text prompt using HeyGen's Video Agent. Use when: (1) Creating a video from a description or idea, (2) Generating explainer, demo, or marketing videos from a prompt, (3) Making a video without specifying exact avatars, voices, or scenes, (4) Quick video prototyping or drafts, (5) One-shot prompt-to-video generation, (6) User says "make me a video" or "create a video about X".

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14
AI & Machine Learningzc277584121/cc-use

cc-use

Supervise and manage an inner Claude Code instance running in tmux. Use this skill when you need to delegate implementation work to an inner Claude while focusing on task planning, progress monitoring, and end-to-end acceptance testing. Ideal for long-running tasks that would otherwise exhaust a single Claude's context window.

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14
2 scripts/Attention
AI & Machine Learninggithub/awesome-copilot

microsoft-agent-framework

Create, update, refactor, explain, or review Microsoft Agent Framework solutions using shared guidance plus language-specific references for .NET and Python.

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14
AI & Machine Learningaaaaqwq/claude-code-skill...

memory-router

Team-wide memory routing skill — routes agent queries to the optimal knowledge source (QMD hybrid search, daily memory, MEMORY.md) and enforces citation. Use when any agent needs to retrieve prior work, system config, skill docs, project status, or decisions. Triggers on "查知识库", "memory router", "qmd query", "find in docs", "what was decided", "how does X work", "项目状态", "之前的决策".

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14
1 scripts/Attention
AI & Machine Learningaradotso/trending-skills

everything-claude-code-harness

Agent harness performance system for Claude Code and other AI coding agents — skills, instincts, memory, hooks, commands, and security scanning

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14
AI & Machine Learningtanweai/pua

p9

P9 Tech Lead mode — write Task Prompts, manage P8 agent teams, never write code yourself. Use when user says 'P9模式', 'tech-lead', '帮我管理这个项目', '任务拆解', or when coordinating 3+ parallel agents. Produces: Task Prompts (六要素) + P8 team delivery.

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14
AI & Machine Learningrllm-org/hive

hive

Run the hive experiment loop — autonomous iteration on a shared task. Use when the agent is in a hive task directory and needs to run experiments, submit results, or participate in the swarm. Triggers on "hive", "run hive", "autoresearch", "start experimenting", "join the swarm", "start the loop", or when .hive/task file is detected.

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14
AI & Machine Learningbrowser-use/browser-use

open-source

Documentation reference for writing Python code using the browser-use open-source library. Use this skill whenever the user needs help with Agent, Browser, or Tools configuration, is writing code that imports from browser_use, asks about @sandbox deployment, supported LLM models, Actor API, custom tools, lifecycle hooks, MCP server setup, or monitoring/observability with Laminar or OpenLIT. Also trigger for questions about browser-use installation, prompting strategies, or sensitive data handling. Do NOT use this for Cloud API/SDK usage or pricing — use the cloud skill instead. Do NOT use this for directly automating a browser via CLI commands — use the browser-use skill instead.

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14
AI & Machine Learningruvnet/ruflo

agent-project-board-sync

Agent skill for project-board-sync - invoke with $agent-project-board-sync

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14
AI & Machine Learningbagelhole/devops-security...

llm-cost-optimization

Reduce LLM API and infrastructure costs through model selection, prompt caching, batching, caching, quantization, and self-hosting strategies. Track spend by team and model, set budgets, and implement cost-aware routing.

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14
AI & Machine Learningyonatangross/orchestkit

bare-eval

Run isolated eval and grading calls using CC 2.1.81 --bare mode. Constructs claude -p --bare invocations for skill evaluation, trigger testing, and LLM grading without plugin/hook interference. Use when running eval pipelines, grading skill outputs, benchmarking prompt quality, or testing trigger accuracy in isolation.

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14
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