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All Skills

Total 50,505 skills, AI & Machine Learning has 8478 skills

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Showing 12 of 8478 skills

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AI & Machine Learningopenai/codex-plugin-cc

codex-cli-runtime

Internal helper contract for calling the codex-companion runtime from Claude Code

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14
AI & Machine Learningaffaan-m/everything-claud...

autonomous-agent-harness

Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.

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14
AI & Machine Learningcamacho/ai-skills

plan-review

Auto-assembles review panel using deterministic rules, dispatches agents against plan file, collects verdicts.

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14
AI & Machine Learningcinience/alicloud-skills

aliyun-qwen-generation

Use when generating or reasoning over text with Alibaba Cloud Model Studio Qwen flagship text models (`qwen3-max`, `qwen3.5-plus`, `qwen3.5-flash`, snapshots, and compatible open-source variants). Use when building chat, agent, tool-calling, or long-context text generation workflows on Model Studio.

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14
1 scripts/Checked
AI & Machine Learningakillness/oh-my-skills

langsmith

Instrument, trace, evaluate, and monitor LLM applications and AI agents with LangSmith. Use when setting up observability for LLM pipelines, running offline or online evaluations, managing prompts in the Prompt Hub, creating datasets for regression testing, or deploying agent servers. Triggers on: langsmith, langchain tracing, llm tracing, llm observability, llm evaluation, trace llm calls, @traceable, wrap_openai, langsmith evaluate, langsmith dataset, langsmith feedback, langsmith prompt hub, langsmith project, llm monitoring, llm debugging, llm quality, openevals, langsmith cli, langsmith experiment, annotate llm, llm judge.

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14
2 scripts/Attention
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 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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