How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
LinkedIn automation skills for AI agents – sales, social selling, data extraction, and more.
The main features of linked-api/linkedin-skills are: Agent Skills, Developer Tools.
Projects with overlapping indexed features include: infrasity-labs/dev-gtm-claude-skills — Open-source Claude skills for GEO, AI discoverability, and developer GTM workflows. Built for developer-focused… xquik-dev/tweetclaw — OpenClaw plugin to search tweets, search replies, post tweets, export followers, manage media, monitor X/Twitter, and… anthropics/skills — This project provides a standardized framework for extending the functional range of artificial intelligence agents… composiohq/awesome-claude-skills — This project serves as a centralized directory and resource hub for extending the functional capabilities of AI… 30-seconds/30-seconds-of-code — This project is a developer knowledge base and a curated library of programming code snippets. It serves as a… 0xax/erlang-bookmarks — All about erlang programming language [powerd by community].
This project serves as a centralized directory and resource hub for extending the functional capabilities of AI agents. It provides a structured collection of tools and integration patterns that enable large language models to interact with external software platforms, facilitating autonomous task execution and data retrieval across a wide range of business applications. The repository distinguishes itself by standardizing communication between AI models and external services through the Model Context Protocol. It utilizes declarative skill manifests and machine-readable tool-calling schemas
Open-source Claude skills for GEO, AI discoverability, and developer GTM workflows. Built for developer-focused companies that want their documentation to be found, parsed, and cited by AI systems.
This project provides a standardized framework for extending the functional range of artificial intelligence agents through a registry of modular, declarative instructions. It enables agentic workflow automation by allowing developers to define task-specific behaviors and operational constraints that guide how agents interact with external tools and execute multi-step processes. The system distinguishes itself through a directory-based discovery model and a plugin-registry architecture that facilitates the distribution of specialized workflows. By utilizing a schema-driven specification that
OpenClaw plugin to search tweets, search replies, post tweets, export followers, manage media, monitor X/Twitter, and run giveaway draws via Xquik.