Context7 integrates current, version-specific documentation and code examples directly into your LLM's context, eliminating outdated information and hallucinations. It's ideal for developers needing precise, up-to-date API details, configuration, or code snippets for any library or framework.

GitNexus transforms any codebase into a detailed knowledge graph, mapping dependencies, call chains, and execution flows. This provides AI agents with deep architectural awareness, significantly improving their reliability for complex development tasks. It is particularly effective for developers using AI assistants to navigate, debug, and refactor large codebases with precision.

This skill provides an AI agent-led search engine that aggregates and synthesizes recent public engagement from diverse platforms like Reddit, X, YouTube, TikTok, GitHub, and Polymarket. It excels at revealing real-time trends and public sentiment, making it ideal for market research, competitive analysis, or preparing for critical meetings.

This collection offers a comprehensive set of Agent Skills focused on context engineering principles for building and optimizing production-grade AI agent systems. It provides structured guidance and practical examples for managing the language model's context window effectively across various agent platforms.

This repository provides a collection of standardized Agent Skills for AI/ML tasks, including model training, evaluation, and dataset management on the Hugging Face Hub. It is designed for developers using coding agents like Claude Code, Codex, or Gemini CLI to streamline complex machine learning workflows.

This Claude Code skill decompiles Android APK, XAPK, JAR, and AAR files, extracting HTTP API endpoints like Retrofit, OkHttp calls, and hardcoded URLs. It's invaluable for security research, malware analysis, or documenting and reproducing app functionalities without access to the original source code.

This skill suite provides a comprehensive, human-in-the-loop pipeline for academic research, covering everything from initial planning and deep research to paper writing, peer review, and final integrity checks. It excels at augmenting human researchers by handling grunt work and verifying data, allowing focus on critical thinking and interpretation.

This Claude Code skill transforms your Obsidian vault into an autonomous knowledge engine that creates, organizes, maintains, and evolves notes. It ingests sources, extracts entities, updates cross-references, and files everything into a structured wiki. It's ideal for building a persistent, compounding knowledge base that answers questions by synthesizing information from your entire vault, citing specific pages.

This MCP server integrates AI assistants with Exa's specialized search engine, providing real-time access to web, code, and company data. It is ideal for AI agents requiring up-to-date external information for research, analysis, or contextual understanding.

This marketplace provides a comprehensive suite of AI agent skills tailored for solopreneurs and indie hackers, enhancing various business operations. It equips AI agents with specialized capabilities for market research, SEO, design, and social media, enabling efficient task execution across numerous AI coding environments.

BlockRun MCP integruje różnorodne źródła danych w czasie rzeczywistym i zaawansowane modele AI bezpośrednio z Claude, umożliwiając mu odpowiadanie na złożone, aktualne pytania dotyczące rynków, badań i mediów społecznościowych, a także generowanie treści multimedialnych. Jest to idealne rozwiązanie dla deweloperów potrzebujących dostępu na żądanie do danych premium i możliwości AI bez zarządzania wieloma kluczami API czy subskrypcjami.

This skill implements Recursive Language Model (RLM) strategies to overcome Claude's context window limitations and 'context rot'. It enables Claude Code to process inputs up to 2 orders of magnitude beyond normal limits by systematically filtering, chunking, recursing with sub-agents, verifying, and synthesizing information. Ideal for analyzing large codebases, multi-document QA, and complex information aggregation, it significantly improves accuracy and completeness on tasks involving 10+ files or over 50k tokens. Benchmarks show substantial improvements in multi-hop QA and quadratic reason

TasteRay Skills equip AI agents with the ability to conduct psychological profiling and deliver highly personalized recommendations. It features two main skills: "Elicitation" for understanding user values, motivations, and formative experiences through research-backed conversational techniques (e.g., McAdams' Life Story Interview, Motivational Interviewing), and "Recommendations" which uses this deep understanding to suggest movies, restaurants, products, travel, or jobs via the TasteRay API. This approach moves beyond simple surveys to foster authentic self-disclosure and explain *why* a re

A sophisticated research skill for Claude Code that performs deep, multi-cycle investigations across any domain. It uses a Weighted Decision Matrix (WDM) and Munger Inversion to ensure objective analysis, tiers sources (Tier 1-3) to filter out SEO spam, and saves checkpoints to disk to survive context window limits. It integrates with MCPs like Firecrawl and Context7 for high-quality data retrieval, aiming for PhD-level depth through auto-regulated cycles.