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SK

anthropics/skills

AI Agent

Public repository for Agent Skills

170k Stars20k Forks1.1k Open Issues170k WatchersPython
AI Agent
Review Readiness

This repository page is useful for visitors, but Git-Stars keeps it out of search indexing until more original evidence and comparison context are available.

75

review score

Needs license signalNeeds sources
Decision Snapshot

Problem solved

Skills solves the problem of making AI agents adaptable to specific, repeatable tasks without requiring fine-tuning or complex prompt engineering. Unlike generic approaches, skills provide a structured, shareable, and version-controlled way to teach Claude specialized workflows, from brand-compliant document creation to data analysis pipelines.

Deployment reality

The available setup signal starts with: /plugin marketplace add anthropics/skills. Treat this as a starting point, then ask Codex or Claude to inspect the README, environment variables, runtime version, and deployment target before production use.

Commercial use

No license is recorded. Do not assume this project is free for commercial or internal use until the repository license and dependency licenses are checked.

Capability ceiling

Developers can build custom skills for creative applications (art, music, design), technical tasks (testing web apps, MCP server generation), enterprise workflows (communications, branding), and document creation/editing (docx, pdf, pptx, xlsx). The ceiling includes production-grade document skills used in Claude's own capabilities, enabling complex multi-step agents that follow precise organizational guidelines.

Source and compliance noteLast synced: Aug 16, 2026

Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.

Original GitHub sourceMethodologyEditorial Policy
Editorial Evaluation

anthropics/skills is tracked as a Python project in the AI Agent area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.

Momentum check: the repository has 170k total stars, with +0 today, +2.7k this week, and +0 this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.

Maintenance check: current activity is Moderate; the latest push was 61 days ago, and the open issue queue is 1.1k, about 0.65% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.

Adoption check: 20k forks and 170k watchers suggest how often the project is reused or followed. License signal: No license specified. Always verify license compatibility before commercial or internal use.

Practical fit: this project is most relevant when you need Python teams evaluating ecosystem-native tooling. Be cautious when you need clear license metadata before internal adoption.

Source check: Git-Stars currently has 1 explicit source reference(s) for this report and a recent growth signal of 2.7k. Follow the original GitHub repository for final install, security, and release information.

Evidence Checklist

Analysis

Ready

Original problem, capability, and verdict guidance are available.

Sources

Limited

Needs clearer source references.

License

Limited

License is unknown and should be checked before commercial use.

Maintenance

Ready

Recent activity is visible in repository metadata.

Alternatives

Ready

Enough nearby projects exist for comparison.

Best For
  • Python teams evaluating ecosystem-native tooling
  • teams that prefer mature projects with broad adoption signals
Avoid When
  • you need clear license metadata before internal adoption
  • you need a legal review, security audit, or production SLA
Adoption Signals

Momentum

170k Stars

Reuse

20k Forks

Attention

170k Watchers

Maintenance

moderate

License

Unknown

Open issues

1.1k

Overview

This repository contains Anthropic's implementation of skills for Claude—folders of instructions, scripts, and resources that Claude loads dynamically to improve performance on specialized tasks. It includes example skills for creative, technical, and enterprise workflows, as well as document creation skills.

Key Features

- Skills are self-contained folders with a SKILL.md file containing instructions and metadata. - Includes example skills for creative, technical, and enterprise use cases. - Can be used in Claude Code, Claude.ai, and the Claude API.

Tool Positioning

AI Agent

Agent frameworks, autonomous workflows, and tool-use systems

Quick Start
/plugin marketplace add anthropics/skills
View on GitHub
Project Activity

80

Health Score

Moderate

Commit Activity

Sep 22, 2025

Created

Aug 13, 2026

Last push

Source Trail

GitHub repository metadata

metadata

Star History

Star history will appear after daily syncs accumulate data.

Community Health
20k

Forks

1.1k

Open

170k

Watchers

Owner
SK

anthropics

GitHub profile
Topics & Language
Pythonagent-skills
Ecosystem & Usage
GitHub Repository
Alternatives & Comparison

obra/superpowers

An agentic skills framework & software development methodology that works.

273k

affaan-m/ECC

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

240k

NousResearch/hermes-agent

The agent that grows with you

231k

mattpocock/skills

Skills for Real Engineers. Straight from my .agents directory.

218k

anomalyco/opencode

The open source coding agent.

198k
License
No license specified
CreatedSep 22, 2025
Last pushAug 13, 2026
Last syncedAug 16, 2026
Repository Standards

✗

License

✓

Forked

~ Moderate

Maintained

AI AnalysisAnalyzed by Git-Stars

Problem Solved

Skills solves the problem of making AI agents adaptable to specific, repeatable tasks without requiring fine-tuning or complex prompt engineering. Unlike generic approaches, skills provide a structured, shareable, and version-controlled way to teach Claude specialized workflows, from brand-compliant document creation to data analysis pipelines.

Capabilities

Developers can build custom skills for creative applications (art, music, design), technical tasks (testing web apps, MCP server generation), enterprise workflows (communications, branding), and document creation/editing (docx, pdf, pptx, xlsx). The ceiling includes production-grade document skills used in Claude's own capabilities, enabling complex multi-step agents that follow precise organizational guidelines.

Bottom Line

Skills is ideal for developers and organizations using Claude who need repeatable, specialized workflows without fine-tuning. It is less suitable for those seeking a model-agnostic agent framework or who prefer simpler prompt-based approaches. The key trade-off is deep integration with Claude's ecosystem versus broader interoperability.

Full AI Analysis