self-learning-skills

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.

Skills is a command-line tool for the open agent skills ecosystem. It installs reusable instruction sets defined in SKILL.md files into supported coding agents such as OpenCode, Claude Code, Codex, Cursor, and others. The `npx skills` CLI resolves skills from GitHub, GitLab, other Git URLs, local paths, or direct file and archive URLs; lists available skills, selects individual skills, and installs them project-wide or globally by symlink or copy. It can also generate a prompt for a skill without installing it, launch a supported agent with that prompt, search for skills, update or remove installations, and create new SKILL.md templates. Skills use YAML frontmatter with a name and description, and the CLI discovers them in standard agent and repository skill directories. The project is licensed under the MIT License.

Awesome Claude Skills is a curated GitHub resource covering reusable Claude Skills, plugins, tools, and related resources for Claude.ai, Claude Code, the Claude API, and other coding agents such as Codex, Cursor, Gemini CLI, Antigravity, and Windsurf. It organizes examples by areas including document processing, development, data analysis, communication, media, productivity, project management, security, and SaaS-app automation through Composio. The repository explains Skills as folders containing a SKILL.md file with YAML metadata and Markdown instructions, optionally accompanied by scripts, references, and assets. It documents progressive loading: agents initially see a skill's name and description, load the full instructions when relevant, and load supporting files on demand. It also distinguishes Skills, which define workflows and guardrails, from MCP servers and tools, which provide system access and individual actions. The list accepts contributions through documented quality and pull-request guidelines. The repository is licensed under Apache 2.0, while individual skills may use different licenses.

AI Design Skills is an MIT-licensed collection of Markdown design skills for AI coding tools such as Claude Code, Cursor, Codex, Windsurf, and Cline. Its skills provide coding agents with guidance for landing-page strategy, page structure, conversion copy, typography, spacing, visual systems, border radius, and motion. Each skill is stored as a self-contained folder with a SKILL.md file that can be copied into an agent's project-rules directory, added to a system prompt, or uploaded to a Claude.ai project. The repository currently documents a landing-page-design skill that asks intake questions, builds the page structure and copy, and defines the visual system; its design values are grouped in an editable section so users can change fonts, colors, spacing, and motion. The collection can be forked and used, modified, distributed, or used in commercial work under the MIT license.

Cangjie Skill is an open-source pipeline that distills methodologies from books, long-form videos, podcasts, interviews, and courses into callable AI Agent Skills rather than summaries. The resulting skills package evidence, examples, executable steps, and usage boundaries so coding agents can invoke the extracted methodology. Its capability-bundle workflow extracts stable capability cards and metadata before compiling installable output. It supports a single router-style Skill or a compact pack containing a router and promoted standalone Skills. The unified local toolchain includes diagnostics, compilation, output replanning, incremental updates, repair, rollback, evaluation, and benchmarking, while content-addressed preprocessing, source diffs, impact analysis, transactional patches, snapshots, and edit detection support controlled evolution. The repository also provides a standalone installation package for DeepSeek Harness.