mcp-research
Retrieve current, source-backed technical information using MCP tools to resolve queries about libraries, APIs, SDKs, and evolving tech ecosystems.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
344 skills found
Retrieve current, source-backed technical information using MCP tools to resolve queries about libraries, APIs, SDKs, and evolving tech ecosystems.
Execute the implementation planning workflow, generate technical design artifacts, and structure research tasks for Spec Kit projects.
Standardized skill for managing and formatting Windsurf AI rules, ensuring adherence to strict character limits and single-file requirements.
Build AI agents with the OpenAI Agents SDK for Python. Supports multi-agent handoffs, function tools, stateful sessions, streaming, and Azure OpenAI integration via LiteLLM.
Manage Vibesafe units to scan, generate, test, and verify AI-written code with cryptographically-secure hash-locked checkpoints.
Creates structured Linear issues (main + sub-issues) with automated project linking, title prefixes, labeling, and PRD-aligned content workflows for fullstack developers.
Optimize agent context windows through KV-caching, observation masking, summarization-based compaction, and context partitioning to reduce costs and latency.
Conduct strategic competitive analysis to map market landscapes, identify direct competitors, synthesize strengths and weaknesses, and uncover differentiation opportunities.
An AI-powered sales assistant that transforms business scenarios into optimized prompts, automatically generating high-quality emails, proposals, and analysis reports without requiring prompt engineering skills.
AI-optimized artifact tracking system for token-efficient project orchestration, phase management, and automated task delegation using YAML-Markdown hybrid formats.
Integrates browser-native Proofreader API into web applications for AI-powered text correction, grammar checking, and language support with managed model lifecycle.
Proactive context window management for AI agents via intelligent token monitoring, snapshot creation, and selective state rehydration to maintain continuity during long sessions.