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

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All Skills

Total 55,107 skills, AI & Machine Learning has 9147 skills

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Showing 12 of 9147 skills

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AI & Machine Learninggohypergiant/agent-skills

accelint-skill-manager

Use when users say "create a skill", "make a new skill", "build a skill", "skill for X", "package this as a skill", or when refactoring/updating/auditing existing skills that extend agent capabilities with specialized knowledge, workflows, or tool integrations.

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9
AI & Machine Learningmthds-ai/skills

build

Build new AI method from scratch using the MTHDS standard (.mthds bundle files). Use when user says "create a pipeline", "build a workflow", "new .mthds file", "make a method", "design a pipe", or wants to create any new method from scratch. Guides the user through a 10-phase construction process.

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9
AI & Machine Learningyeachan-heo/oh-my-claudec...

configure-openclaw

Configure OpenClaw gateway integration for waking external automations and AI agents on hook events

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9
AI & Machine Learningsickn33/antigravity-aweso...

ai-ml

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.

🇺🇸|EnglishTranslated
9
AI & Machine Learningpskoett/pskoett-ai-skills

agent-teams-simplify-and-harden

Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes. Spawns implementation agents to do the work, then audit agents to find complexity, security gaps, and spec deviations, then loops until code compiles cleanly, all tests pass, and auditors find zero issues or the loop cap is reached. Use when: implementing features from a spec or plan, hardening existing code, fixing a batch of issues, or any multi-file task that benefits from a build-verify-fix cycle.

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9
AI & Machine Learningdotneet/claude-code-marke...

perplexity-search

A skill for performing web searches, research, and reasoning using the Perplexity API. Handles real-time web information retrieval, deep research analysis, and advanced reasoning tasks. Use when the user asks for web searches, research, or says things like "look up", "search for", "latest information", "research", or "analyze".

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9
1 scripts/Checked
AI & Machine Learningrshankras/claude-code-app...

core-ml

Core ML, Create ML, Vision framework, Natural Language framework, on-device ML integration. Use when user wants image classification, text analysis, object detection, sound classification, model optimization, or custom model integration. Covers Core ML vs Foundation Models decision.

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9
AI & Machine Learningtwillai/skills

twill-cloud-coding-agent

Use Twill Cloud Coding Agent to manage Twill's public v1 API workflows. Create/list/update tasks, stream and cancel jobs, manage scheduled tasks, list repositories, and export Claude teleport sessions.

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9
AI & Machine Learningathola/claude-night-marke...

escalation-governance

NEVER escalate without investigation first. This is the Iron Law. Use when evaluating whether to escalate models, facing genuine complexity requiring deeper reasoning, novel patterns with no existing solutions, high-stakes decisions requiring capability investment. Do not use when thrashing without investigation - investigate root cause first. DO NOT use when: time pressure alone - urgency doesn't change task complexity. DO NOT use when: "just to be safe" - assess actual complexity instead.

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9
AI & Machine Learninglaurigates/claude-plugins

hooks-configuration

Claude Code hooks configuration and development. Covers hook lifecycle events, configuration patterns, input/output schemas, and common automation use cases. Use when user mentions hooks, automation, PreToolUse, PostToolUse, SessionStart, SubagentStart, PermissionRequest, WorktreeCreate, WorktreeRemove, TeammateIdle, TaskCompleted, ConfigChange, or needs to enforce consistent behavior in Claude Code workflows.

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9
AI & Machine Learningzixun-github/aisdlc

project-discover

Used when you need to perform Discover (reverse engineering) on legacy projects with existing code, consolidate repository facts into `.aisdlc/project/`, and you find that AI or teams frequently guess entry points and boundaries, have duplicate writing of indexes and details, or lack evidence chains leading to repeated rework.

🇨🇳|ChineseTranslated
9
AI & Machine Learningorchestra-research/ai-res...

nemo-guardrails

NVIDIA's runtime safety framework for LLM applications. Features jailbreak detection, input/output validation, fact-checking, hallucination detection, PII filtering, toxicity detection. Uses Colang 2.0 DSL for programmable rails. Production-ready, runs on T4 GPU.

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