Centralized manifest for AI agent skills. Synced via ai-agent-skills.

Centralized manifest for AI agent skills. Synced via ai-agent-skills.

Centralized manifest for AI agent skills. Synced via ai-agent-skills.

Centralized manifest for AI agent skills. Synced via ai-agent-skills.

Read-only-by-default MCP for Datanika: browse data, run dbt transforms, manage ELT pipelines.

Universal data connector for CSV, Postgres, and REST APIs via DuckDB

📚 Agent skills distilled from technical books — AI Engineering, Context Engineering, Designing Data-Intensive Applications, and more. Agent-agnostic, plain Markdown. Give your AI agent a bookshelf.

Claude Code skills for running models cost-effectively: security gates (secret scanner, commit-gate), model-quality tooling (eval harness, token-squeeze, compact-io, opus-workers), review/advisory (trusted-advisor, audit, skill-vet, research-brief), and a read-only reorg-proposal advisor.

Skills for driving GlassFlow ETL pipelines from AI coding assistants

A curated library of senior grade Agent Skills and subagents for Claude Code and OpenAI Codex. 70 skills, 30 dispatchable subagents, designed for multi agent orchestration.

Agent Skills 오픈 표준 기반 AI 코딩 에이전트용 스킬 컬렉션 (Java, Kotlin, Spring, NestJS, K8s, Terraform, GraphQL, gRPC, OpenTelemetry, a11y, i18n 등 60개)

AI agent skills organized as a virtual development team for software development

AI agents are smart but unreliable without procedure. "Agent Skills" are executable checklists that package expertise.

AI agents are smart but unreliable without procedure. "Agent Skills" are executable checklists that package expertise.

AI agents are smart but unreliable without procedure. "Agent Skills" are executable checklists that package expertise.

Generated by Codex. Read with caution.

Self-correcting knowledge corpus for Claude Code — 9 stable shape clusters, bias-correction pipeline baked into contribution flow. 47 papers, 45 techniques, 1.1k skills.

Self-correcting knowledge corpus for Claude Code — 9 stable shape clusters, bias-correction pipeline baked into contribution flow. 47 papers, 45 techniques, 1.1k skills.

Self-correcting knowledge corpus for Claude Code — 9 stable shape clusters, bias-correction pipeline baked into contribution flow. 47 papers, 45 techniques, 1.1k skills.

Self-correcting knowledge corpus for Claude Code — 9 stable shape clusters, bias-correction pipeline baked into contribution flow. 47 papers, 45 techniques, 1.1k skills.

Self-correcting knowledge corpus for Claude Code — 9 stable shape clusters, bias-correction pipeline baked into contribution flow. 47 papers, 45 techniques, 1.1k skills.

Self-correcting knowledge corpus for Claude Code — 9 stable shape clusters, bias-correction pipeline baked into contribution flow. 47 papers, 45 techniques, 1.1k skills.

Self-correcting knowledge corpus for Claude Code — 9 stable shape clusters, bias-correction pipeline baked into contribution flow. 47 papers, 45 techniques, 1.1k skills.

Self-correcting knowledge corpus for Claude Code — 9 stable shape clusters, bias-correction pipeline baked into contribution flow. 47 papers, 45 techniques, 1.1k skills.

Self-correcting knowledge corpus for Claude Code — 9 stable shape clusters, bias-correction pipeline baked into contribution flow. 47 papers, 45 techniques, 1.1k skills.

Self-correcting knowledge corpus for Claude Code — 9 stable shape clusters, bias-correction pipeline baked into contribution flow. 47 papers, 45 techniques, 1.1k skills.

Self-correcting knowledge corpus for Claude Code — 9 stable shape clusters, bias-correction pipeline baked into contribution flow. 47 papers, 45 techniques, 1.1k skills.

Self-correcting knowledge corpus for Claude Code — 9 stable shape clusters, bias-correction pipeline baked into contribution flow. 47 papers, 45 techniques, 1.1k skills.

Self-correcting knowledge corpus for Claude Code — 9 stable shape clusters, bias-correction pipeline baked into contribution flow. 47 papers, 45 techniques, 1.1k skills.

Self-correcting knowledge corpus for Claude Code — 9 stable shape clusters, bias-correction pipeline baked into contribution flow. 47 papers, 45 techniques, 1.1k skills.

Self-correcting knowledge corpus for Claude Code — 9 stable shape clusters, bias-correction pipeline baked into contribution flow. 47 papers, 45 techniques, 1.1k skills.

Self-correcting knowledge corpus for Claude Code — 9 stable shape clusters, bias-correction pipeline baked into contribution flow. 47 papers, 45 techniques, 1.1k skills.

Self-correcting knowledge corpus for Claude Code — 9 stable shape clusters, bias-correction pipeline baked into contribution flow. 47 papers, 45 techniques, 1.1k skills.

Self-correcting knowledge corpus for Claude Code — 9 stable shape clusters, bias-correction pipeline baked into contribution flow. 47 papers, 45 techniques, 1.1k skills.

Self-correcting knowledge corpus for Claude Code — 9 stable shape clusters, bias-correction pipeline baked into contribution flow. 47 papers, 45 techniques, 1.1k skills.

Self-correcting knowledge corpus for Claude Code — 9 stable shape clusters, bias-correction pipeline baked into contribution flow. 47 papers, 45 techniques, 1.1k skills.

Self-correcting knowledge corpus for Claude Code — 9 stable shape clusters, bias-correction pipeline baked into contribution flow. 47 papers, 45 techniques, 1.1k skills.

A fast, offline static risk analysis CLI for AI agent skill files. Detects malicious instructions, steganographic payloads, and dangerous capability chains.

A fast, offline static risk analysis CLI for AI agent skill files. Detects malicious instructions, steganographic payloads, and dangerous capability chains.

A fast, offline static risk analysis CLI for AI agent skill files. Detects malicious instructions, steganographic payloads, and dangerous capability chains.

Agentic Repository: Skills, Sub-Agents, Hooks, Context, etc.

Claude agent skill that generates realistic fictional enterprise data ecosystems — multi-system schemas, populated SQLite, SQL lineage, controlled DQ imperfections, and a generated read-only MCP server.

Reusable engineering skills for Claude Code and Codex

A curated pack of custom Claude Code skills for developers — installable as a Claude Code plugin marketplace.

A curated pack of custom Claude Code skills for developers — installable as a Claude Code plugin marketplace.

Universal .claude AI Project OS — a reusable, safe, copy-into-any-project Claude Code operating system (agents, skills, commands, presets, checklists, hooks, operating-capability docs).

Verified-gate Claude Code skills that run their checks and prove the result — by NeuralMedic. Web, accessibility, healthcare & compliance, data, IaC, Odoo.

Claude Code Plugin for ML Research and Development.

Claude Code skills that interview your analytics team before writing a line. /northstar master skill + 12 skill builders.

Comprehensive skills system for Cursor IDE with mandatory expertise enforcement, automatic skill discovery, multi-agent coordination, and persistent learning. 220+ skills across 10 categories + 8 custom orchestration rules.

Marketplace privado de 17 plugins (skills, hooks e automações) pessoais para Claude Code.

A specification framework for agentic development. Agents build from complete specs - not guesses.

A specification framework for agentic development. Agents build from complete specs - not guesses.

A specification framework for agentic development. Agents build from complete specs - not guesses.

A specification framework for agentic development. Agents build from complete specs - not guesses.

Reusable AI agent skills for application development, data, architecture, domain modelling and delivery workflows.

A stack of skills for your AI agent, made for people starting from zero. 103 skills and 149 project briefs — load one into Codex, Claude Code, Copilot, Gemini, or Cursor and do the thing.

A focused, production-minded library of 197 clinical-AI and healthcare data-science skills for the OpenClaw agent platform featuring data quality, clinical NLP, big-data ML, explainable AI, drug safety, and regulatory.

Design a resilient data ingestion/ETL pipeline from source to warehouse: contracts, idempotency, quality gates, lineage, backfill, and run-time observability.