anthropics/claude-plugins-official
- Source
- GitHub
- First trending
- Category
- Skills
- GitHub stars
- 36,443
- Main language
- Python
This page introduces an external open-source repository. It is not an HDATF product.

What it does
An Anthropic-managed directory of Claude Code plugins, split into internal plugins and third-party plugins. Each plugin follows a standard structure with metadata and optional MCP server config, commands, agents and skills.
How it helps ATF
A reference for how Harness could bundle skills, commands and MCP settings into one package for an executor. Its rule that plugin names never change after publishing is also worth comparing.
License
Apache-2.0 Permissive, with a patent grant. Commercial use is allowed; keep the notices and state your changes.
More in this category
- hardikpandya/stop-slop
Stop Slop is a skill file that teaches Claude or another LLM to find and remove patterns typical of AI writing, such as banned phrases and structural clichés. It scores prose on directness, rhythm, trust, authenticity and density. - anthropics/claude-for-legal
Reference agents, skills and data connectors for legal workflows such as privacy, litigation and IP, packaged as Claude plugins or for the Claude Managed Agents API. Every output is a draft for attorney review. - Leonxlnx/taste-skill
Taste Skill is a set of portable Agent Skills that push AI coding agents toward better layout, typography, motion and spacing in the interfaces they build. It also includes image-generation skills for web, mobile and brand reference boards. - Imbad0202/academic-research-skills
A suite of Claude Code skills for the academic pipeline of research, writing, review, revision and finalizing. It handles finding references, formatting citations, verifying data and checking logical consistency, leaving key decisions to the researcher. - microsoft/SkillOpt
SkillOpt trains reusable natural-language skills for LLM agents without changing model weights. It edits a skill based on agent trajectories, accepts updates only when they pass validation, and outputs the best version as a best_skill.md file.
Only repositories in the ranked Trendshift lists are included, and the lists are used only to find candidates. We do not copy their ranks. Descriptions, licenses and star counts come from each GitHub repository. The notes are our own reading. We have not tested these projects, and a place on a trending list does not prove quality.