Alvarmethod

Agent Skills is a curated skill registry and npm-based CLI for extending AI coding agents such as Claude Code, Cursor, Copilot, and Antigravity with packaged instructions, templates, and reference files. The CLI fetches a catalog, lets users search and select skills, caches downloads locally, and installs them to selected agents by copying or symlinking them at global or project scope; it also supports updating, removing, auditing, and managing cached skills. The repository describes the catalog as an open-source, human-curated library with CI static analysis, content hashing, lockfiles, path isolation, symlink guards, sanitization, audit logging, and Snyk Agent Scan checks. It also includes an MCP server that exposes progressive-disclosure tools for listing, searching, reading, and fetching skill files. The CLI source is MIT-licensed; maintainer-authored skills are generally CC BY 4.0, while third-party skills retain their own licenses.

self-learning-skills is a meta-skill for AI coding agents, including Claude Code, Cursor, Codex, and agents that read AGENTS.md or similar standing-instruction files. It recognizes hard-won, reusable procedures such as non-obvious commands and recurring operational workflows, then captures them as skills, rules, or project instructions for later sessions. The capture includes known dead ends and excludes one-off details and secret values. The project stores learned procedures as new skills/<name>/SKILL.md files for Claude Code, Codex, and Agent Skills clients; as .cursor/rules/learned/<name>.mdc files for Cursor; or in AGENTS.md or project notes for other agents. It can be installed with the community skills CLI, as a Claude Code plugin, or manually by copying the relevant files.

A personal AI learning system distributed as a pi configuration. It encodes a teaching philosophy and learning process in skills, including teaching and diagram-based visualization, and adds extensions for question popups, graded quizzes, Markdown session logs, and visualization tools. The configuration delegates research and visual creation to researcher, SVG-maker, and Mermaid-maker subagents; it can also run without subagents, with those delegation-based capabilities omitted. It is intended for one learner and is shared as-is under the repository's stated installation instructions.

Arize Skills is a set of installable skills for AI coding agents, maintained by Arize, that guides agents through adding observability, creating datasets, running experiments and evaluations, and optimizing prompts for LLM applications. The skills use the ax CLI to interact with Arize and include workflows for tracing and debugging applications, OpenInference-based instrumentation, dataset management, experiments, LLM-as-judge evaluators, annotations, prompt optimization, provider credentials, and production monitoring. They can be installed into agents such as Cursor, Claude Code, Codex, GitHub Copilot, and Windsurf through npx, the repository's installers, the ax CLI, or a Claude Code plugin. The repository is licensed under MIT.

Agent Skills is an open-source collection of engineering workflows for AI coding agents, developed by Addy Osmani. It packages senior-engineering practices into skills covering the development lifecycle: defining specifications, planning, incremental implementation, testing and debugging, constraints, code review, web-performance auditing, code simplification, and shipping. Slash commands such as /spec, /plan, /build, /test, /review, and /ship activate the corresponding workflows, while skills can also activate automatically based on the work being performed. The /build workflow can generate a plan and implement its tasks in an approved pass, while retaining test-driven verification, individual commits, and pauses for failures or risky steps. It can be installed with the skills CLI or integrated into supported coding agents including Claude Code, Cursor, Codex, Copilot, and Cline.