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

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All Skills

Total 50,970 skills, AI & Machine Learning has 8537 skills

Categories

Showing 12 of 8537 skills

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AI & Machine Learningesmondo/berkarja

content-creation-system

Multi-agent content workflow for social media. Use when creating content ideas, validating concepts, planning production, checking trends, or aligning with brand voice. Triggers on content ideas, TikTok/Instagram/YouTube, validation, trends.

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16
17 scripts/Checked
AI & Machine Learningeyadsibai/ltk

ml-engineering

Use when "deploying ML models", "MLOps", "model serving", "feature stores", "model monitoring", or asking about "PyTorch deployment", "TensorFlow production", "RAG systems", "LLM integration", "ML infrastructure"

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16
AI & Machine Learningyonatangross/orchestkit

golden-dataset

Golden dataset lifecycle patterns for curation, versioning, quality validation, and CI integration. Use when building evaluation datasets, managing dataset versions, validating quality scores, or integrating golden tests into pipelines.

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16
1 scripts/Checked
AI & Machine Learningyonatangross/orchestkit

agent-orchestration

Agent orchestration patterns for agentic loops, multi-agent coordination, alternative frameworks, and multi-scenario workflows. Use when building autonomous agent loops, coordinating multiple agents, evaluating CrewAI/AutoGen/Swarm, or orchestrating complex multi-step scenarios.

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16
3 scripts/Checked
AI & Machine Learningshimo4228/claude-code-lea...

parallel-subagent-batch-merge

Use when generating 50+ structured items with parallel Claude Code subagents and merging outputs into one file.

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16
AI & Machine Learninglubu-labs/langchain-agent...

deepagents-setup-configuration

Initialize, validate, and troubleshoot Deep Agents projects in Python or JavaScript using the `deepagents` package. Use when users need to create agents with built-in planning/filesystem/subagents, configure middleware/backends/checkpointing/HITL, migrate from `create_react_agent` or `create_agent`, scaffold projects with repo scripts, validate agent config files, and confirm compatibility with current LangChain/LangGraph/LangSmith docs.

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16
4 scripts/Attention
AI & Machine Learningaaarnv/claude-skills

herobrine

Create, list, remove, and run scheduled autonomous Claude Code agents. Agents run on a timer via macOS launchd, execute any prompt headlessly, and deliver results via Beeper messages and macOS notifications. Use for recurring research, monitoring, overnight builds, or any task you want Claude to do on autopilot.

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16
2 scripts/Attention
AI & Machine Learningspritecook/skills

spritecook-generate-sprites

Generate sprites and game assets using the SpriteCook MCP tools. Use when building games and the user needs sprites, pixel art, characters, items, tilesets, textures, icons, or UI elements. Also use when asked to create, generate, or make game art assets.

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16
AI & Machine Learningdangeles/claude

synthesizer

Use when multiple reviews or paper notes need integration, cross-cutting themes must be identified, or project-specific implications must be drawn from disparate sources

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16
AI & Machine Learningdcaigc/dc-skills

gemini-infographic

Generate infographic images from user descriptions using Gemini API (Nano Banana Pro). Converts natural language descriptions into structured infographic prompts, then calls Gemini image generation to produce PNG images. Supports 11 visual styles (sketchnote, kawaii, professional, scientific, anime, claymation, editorial, storyboard, bento grid, bricks), 3 orientations (landscape/portrait/square), 3 detail levels (brief/standard/detailed), and multiple languages. Use when user asks to create infographics, generate visual summaries, make data visualizations, or produce illustrated explanations. Trigger words include 信息图, infographic, 生成图, 可视化, visual summary, data visualization.

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16
1 scripts/Attention
AI & Machine Learningmicrosoftdocs/agent-skill...

azure-personalizer

Expert knowledge for Azure AI Personalizer development including troubleshooting, decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when tuning exploration/apprentice mode, single vs multi-slot calls, model export, quotas, or local inference SDK, and other Azure AI Personalizer related development tasks. Not for Azure AI services (use microsoft-foundry-tools), Azure AI Search (use azure-cognitive-search), Azure AI Metrics Advisor (use azure-metrics-advisor), Azure AI Anomaly Detector (use azure-anomaly-detector).

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16
AI & Machine Learningmicrosoftdocs/agent-skill...

azure-custom-vision

Expert knowledge for Azure AI Custom Vision development including best practices, decision making, limits & quotas, security, integrations & coding patterns, and deployment. Use when exporting Custom Vision models, calling prediction APIs, using ONNX/TensorFlow, managing CMK/RBAC, or Smart Labeler, and other Azure AI Custom Vision related development tasks. Not for Azure AI Vision (use azure-ai-vision), Azure AI services (use microsoft-foundry-tools), Azure Machine Learning (use azure-machine-learning), Azure AI Foundry Local (use microsoft-foundry-local).

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