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

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All Skills

Total 34,556 skills

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Showing 12 of 34556 skills

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AI & Machine Learningopenserv-labs/skills

openserv-agent-sdk

Build and deploy autonomous AI agents using the OpenServ SDK (@openserv-labs/sdk). IMPORTANT - Always read the companion skill openserv-client alongside this skill, as both packages are required to build and run agents. openserv-client covers the full Platform API for multi-agent workflows and ERC-8004 on-chain identity. Read reference.md for the full API reference.

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6
8 scripts/Checked
Document Processingnesnilnehc/ai-cortex

decontextualize-text

Convert text with private context or internal dependencies into generic, unbiased expressions. Use for project decontextualization (handoff, open-source prep), methodology abstraction, cross-team sharing, anonymization. Includes path strings and file/folder names as they appear in text.

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6
Frontend Developmentmindrally/skills

motion

Expert guidelines for building performant animations with Motion (formerly Motion One) vanilla JavaScript animation library

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6
Testing & QAmindrally/skills

testing

General testing best practices and guidelines for writing comprehensive, maintainable tests across different testing frameworks and languages.

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6
Platform Servicesopenserv-labs/skills

openserv-launch

Launch tokens on Base blockchain via the OpenServ Launch API. Creates ERC-20 tokens with Aerodrome concentrated liquidity pools. Use when launching tokens, deploying memecoins, or building agents that create tokens with locked LP. Read reference.md for the full API reference. Read openserv-agent-sdk and openserv-client for building and running agents. You can launch tokens for your OpenServ agents.

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6
3 scripts/Checked
Code Qualitynesnilnehc/ai-cortex

review-sql

Review SQL and query code for injection risk, parameterization, indexing and performance, transactions, NULL and constraints, and dialect portability. Language-only atomic skill; output is a findings list.

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6
Security & Compliancewrsmith108/varlock-claude...

varlock

Secure environment variable management with Varlock. Use when handling secrets, API keys, credentials, or any sensitive configuration. Ensures secrets are never exposed in terminals, logs, traces, or Claude's context. Trigger phrases include "environment variables", "secrets", ".env", "API key", "credentials", "sensitive", "Varlock".

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6
DevOps & Cloud Services404kidwiz/claude-supercod...

m365-admin

Use when user needs Microsoft 365 administration, automation, and management for Exchange Online, Teams, SharePoint, licensing, and Graph API operations. Handles secure identity and workload automation.

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6
3 scripts/Checked
Uncategorizedpluginagentmarketplace/cu...

audio-systems

Game audio systems, music, spatial audio, sound effects, and voice implementation. Build immersive audio experiences with professional middleware integration.

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6
1 scripts/Checked
Frontend Developmentpproenca/dot-skills

react-code-smells

Principal-engineer-level React refactoring patterns for eliminating code smells. Covers prop drilling, state explosion, component composition, abstraction quality, coupling, hooks, rendering patterns, and testability. Use when refactoring existing React codebases, reviewing PRs for architectural issues, or identifying technical debt in React applications.

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6
Frontend Developmentpatricio0312rev/skills

accessibility-auditor

Audits and implements web accessibility (a11y) following WCAG 2.1 guidelines with ARIA patterns, keyboard navigation, screen reader support, and contrast checking. Use when users request "accessibility audit", "a11y review", "WCAG compliance", "screen reader support", or "keyboard navigation".

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6
AI & Machine Learningfeiskyer/codex-settings

deep-research

Multi-instance (Multi-Agent) orchestration workflow for deep research: Split a research goal into parallel sub-goals, run child processes in the default `workspace-write` sandbox using Codex CLI (`codex exec`); prioritize installed skills for networking and data collection, followed by MCP tools; aggregate sub-results with scripts and refine them chapter by chapter, and finally deliver "finished report file path + key conclusions/recommendations summary". Applicable to: systematic web/data research, competitor/industry analysis, batch link/dataset shard retrieval, long-form writing and evidence integration, or scenarios where users mention "deep research/Deep Research/Wide Research/multi-Agent parallel research/multi-process research".

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6
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