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All Skills

Total 50,614 skills, AI & Machine Learning has 8484 skills

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Showing 12 of 8484 skills

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AI & Machine Learningyixinhui/langskill

lang-think

Langgeladi Cognition Check. Two modes: Trace (an idea → trace to the bottom layer → build a system) and Topple (a wrong cognition → flip → see the truth). Trigger methods: /lang-think, "I have an idea", "I think XX is because of YY", "help me figure this out", "is this view correct" Langgeladi cognition check. Two modes: Trace (idea → first principles → system) and Topple (wrong belief → flip → truth). Trigger: /lang-think, "I have an idea", "help me think this through", "is this right"

🇨🇳|ChineseTranslated
9
AI & Machine Learningchunpu/agent-skills

novel-to-video

A natural language workflow for converting literary works (novels, stories, scripts, one-sentence concepts, etc.) into film and video content, which converts novel content into complete videos by orchestrating multiple skills in sequence. This skill is used when users need to convert novels, stories or other literary works into videos.

🇨🇳|ChineseTranslated
9
AI & Machine Learningdontbesilent2025/claude-s...

yujie

Northeast Yujie Buddy Pet. TUI-style virtual pet interaction, responds in Northeastern Chinese dialect. Trigger methods: /yujie, "雨姐", "东北雨姐" Dongbei Yujie virtual buddy pet with TUI display and interactive commands. Trigger: /yujie, "雨姐", "东北雨姐"

🇨🇳|ChineseTranslated
9
AI & Machine Learningaradotso/trending-skills

claw-code-harness

Better Harness Tools for Claude Code — a Python (and in-progress Rust) rewrite of the Claude Code agent harness, with CLI tooling for manifest inspection, parity auditing, and tool/command inventory.

🇺🇸|EnglishTranslated
9
AI & Machine Learningkrishamaze/skills

codex-mcp

Connect Codex CLI as an MCP server — giving you codex_run and codex_review as native tool calls instead of black-box bash commands. codex_run covers six modes: explore (broad codebase discovery), inspect (targeted read-only and injected-context follow-up), build (write/edit code), debug (reproduce→diagnose→fix→verify), test (write/run tests), research (web search only). codex_review runs independent code review in an isolated thread. Each mode bakes in task-specific instructions so Codex performs well per task type. Use this skill whenever the user mentions: "set up codex MCP", "connect codex to claude", "codex MCP server", "install codex tools", "configure codex integration", or wants Codex available as native tools in any agent. Distributed via `npx skills add` — no global install needed.

🇺🇸|EnglishTranslated
9
1 scripts/Checked
AI & Machine Learningsmartchainark/nby-skills

openclaw-task-worker

OpenClaw Task Protocol Worker skill. Access the OpenClaw distributed task network, automatically poll for available tasks, claim, execute and submit results. Trigger keywords:「claim task」「view task」「access task network」「openclaw task」「task protocol」「be a lobster」「do task」 When to use: (1) Agent needs to access the OpenClaw task network to claim and complete tasks, (2) User requests to view/claim/submit tasks, (3) User wants to create tasks as a publisher for other lobsters to complete, (4) Any operations involving the OpenClaw distributed content publishing protocol.

🇨🇳|ChineseTranslated
9
AI & Machine Learningrecallnet/codecontext

codecontext-setup

Set up or repair codecontext adoption in a project. Use this whenever the user wants to add @context annotations to a repo, install the codecontext toolchain, update AGENTS.md guidance, improve agent workflows around decision capture, or audit whether an existing codecontext setup is coherent. Prefer this skill over vague "document the tool" work: it is specifically for making a repo actually usable with codecontext.

🇺🇸|EnglishTranslated
9
AI & Machine Learningawslabs/agent-plugins

model-deployment

Generates a Jupyter notebook that deploys fine-tuned models from SageMaker Serverless Model Customization to SageMaker endpoints or Bedrock. Use when the user says "deploy my model", "create an endpoint", "make it available", or asks about deployment options. Identifies the correct deployment pathway (Nova vs OSS), generates deployment code, and handles endpoint configuration.

🇺🇸|EnglishTranslated
9
4 scripts/Checked
AI & Machine Learningcinience/alicloud-skills

aliyun-qwen-ocr

Use when OCR-specialized extraction is needed with Alibaba Cloud Model Studio Qwen OCR models (`qwen-vl-ocr`, `qwen-vl-ocr-latest`, and snapshots), including document parsing, table parsing, multilingual OCR, formula recognition, and key information extraction.

🇺🇸|EnglishTranslated
9
1 scripts/Checked
AI & Machine Learningcinience/alicloud-skills

aliyun-milvus-search

Use when working with AliCloud Milvus (serverless) with PyMilvus to create collections, insert vectors, and run filtered similarity search. Optimized for Claude Code/Codex vector retrieval flows.

🇺🇸|EnglishTranslated
9
1 scripts/Checked
AI & Machine Learningcinience/alicloud-skills

aliyun-qwen-deep-research

Use when a task needs Alibaba Cloud Model Studio Qwen Deep Research models to plan multi-step investigation, run iterative web research, and produce structured reports with citations or evidence summaries.

🇺🇸|EnglishTranslated
9
1 scripts/Checked
AI & Machine Learningcinience/alicloud-skills

aliyun-liveportrait

Use when generating lightweight talking-head portrait videos with Alibaba Cloud Model Studio LivePortrait (`liveportrait`) from a detected portrait image and speech audio. Use when you need long-form or simple broadcast-style portrait animation beyond the typical short expressive models.

🇺🇸|EnglishTranslated
9
1 scripts/Checked
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