LinkedIn Agent Skill

Anthropic's repository of Agent Skills for Claude, including example skills, the Agent Skills specification, and a template for creating custom skills. Each skill is a self-contained folder with a SKILL.md file containing metadata and instructions that Claude loads dynamically for specialized tasks such as document creation, data analysis, web-app testing, MCP server generation, and communications workflows. The repository's skills can be installed as Claude Code plugins, used in Claude.ai, or accessed through the Claude API. It includes document, PDF, presentation, and spreadsheet skills used in Claude's document capabilities; many examples are Apache-2.0 licensed, while those document-creation skills are source-available rather than open source. The repository presents the implementations for demonstration and educational purposes and notes that their behavior may differ across Claude environments.

Distilly is an AI agent skill-generation tool by titanwings that turns messages, documents, interviews, and other supplied sources into source-grounded Person Profiles. It models observable experience, decision patterns, expression, and ways of working, rather than claiming to clone a person, and supports colleague, relationship, and celebrity profile families. Each generated profile is packaged as an installable Agent Skill for supported hosts. Its workflow includes family-specific source collection and analysis, a six-dimension research pipeline for celebrity profiles, incremental file analysis and merging, conversational corrections written to a correction layer, and automatic version archiving with rollback to earlier versions. Supported source types include Lark, DingTalk, Slack, public X posts, WeChat exports, PDFs, images, email, Markdown, and pasted text, with source-specific setup requirements. The project documents native local Skill discovery for Claude Code, Hermes, OpenClaw, Codex, DeepSeek Harness, Pi, Grok Build, and OpenCode. It is distributed from its GitHub repository under the MIT License and is described as a demo version.

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.

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.

AI Job Search is an open-source, local job-application framework built around Claude Code or compatible agent tools. Users create a career profile, search and deduplicate job postings, evaluate and rank matches against structured fit criteria, and run `/apply` to produce tailored CVs and cover letters in LaTeX. The application pipeline uses a drafter–reviewer process: an agent evaluates the posting and drafts the materials, a second reviewer critiques them, and the workflow revises the output; `/interview` supports interview preparation, and optional salary benchmarking is included. The included portal-search skills target Danish services such as Jobindex, Jobnet, and Akademikernes Jobbank, while the profiling, fit-evaluation, and application workflow is described as language- and country-agnostic and adaptable to other job boards. It requires Python 3.10 or later, Bun for the job-search CLI tools, and a LaTeX distribution with `lualatex` and `xelatex`; an optional `pdftotext` installation supports the ATS parseability check for compiled CVs. The repository states that the project is independent of and unaffiliated with Anthropic or Claude Code.