iam
Manage AWS Identity and Access Management: configure users, roles, policies, and permissions for secure cloud environments.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
2091 skills found
Manage AWS Identity and Access Management: configure users, roles, policies, and permissions for secure cloud environments.
A perspective engineering engine that researches, extracts mental models, and generates runnable persona skills based on deep expression DNA analysis.
Guides agent memory system implementation, compares frameworks (Mem0, Zep, Letta, LangMem, Cognee), and designs persistence architectures for cross-session knowledge retention.
Search, discover, and refine AI prompts using the prompts.chat library. Access thousands of community-curated prompts for ChatGPT, Claude, and other AI models.
A comprehensive library of 305+ modular instruction packages, Python CLI tools, and agent workflows designed to extend the capabilities of AI coding assistants like Claude Code, Cursor, Aider, and Gemini CLI.
Your collaborative writing partner for research, outlining, drafting, and feedback. Perfect for technical documentation, blog posts, and articles with proper citation management.
A guide for building high-quality MCP (Model Context Protocol) servers in Python or TypeScript to integrate external APIs and services into LLM workflows.
A modern CLI tool for querying Google Places API to perform text searches, retrieve place details, resolve addresses, and get reviews in human-readable or scriptable JSON formats.
Search codebases efficiently using ripgrep for lightning-fast text patterns and ast-grep for precise, syntax-aware structural code analysis.
Manage Apple Notes directly from your terminal. Create, view, edit, delete, search, and export notes via the memo CLI on macOS.
A structured workflow for co-authoring documentation, technical specs, and proposals, guiding users through context gathering, collaborative refinement, and reader verification.
Optimize agent context windows through KV-caching, observation masking, summarization-based compaction, and context partitioning to reduce costs and latency.