UltraReview

Parallel multi-agent code review for the CURRENT git branch vs `main`. Uses Tarsee's agent registry (Coder, Researcher, Writer) to run three independent review passes simultaneously, then aggregates.

Io.Github.Aitorgarcia21/Ifg Tax

International tax research — 213 jurisdictions, 500K+ legal documents.

Io.Github.Cranot/Agentskb

Researched knowledge for AI agents. Canonical answers from official sources.

Kuro AI Agent MCP Server

AI agent tools: translation (95+ langs), crypto research, compliance, summarization.

waza

Engineering skills for Claude: think (architecture), design (UI), check (code review), hunt (debugging), write (prose), learn (research), read (URL/PDF fetch), health (config audit). Triggers on slash commands or intent.

Robinhood Portfolio Research

Read-only research tools for Robinhood portfolio data

Mcp Server Research Signals

Scored trend intelligence from HN, Reddit, ArXiv, and GitHub.

investor-agent

Triggers on stock/market analysis, investment research, earnings, valuations, sentiment queries.

academic-research

This skill should be used for academic paper search, literature reviews, and research synthesis. Combines Exa MCP (research_paper category, arxiv.org filtering) with arxiv-mcp-server for paper discovery, download, and deep analysis. Use when searching for papers, conducting literature reviews, analyzing research trends, or synthesizing findings across multiple papers.

Io.Github.SocioLogicAI/Signal Relay

Connect AI agents to SocioLogic's synthetic persona platform for market research.

Hugging Science

Hugging Science is a curated, LLM-friendly index of scientific datasets, models, blog posts, and interactive demos for ML researchers. Use it when a scientific ML question lands in front of you — it's much higher signal than generic search and the entries are pre-filtered for quality and openness.

EzBiz Business Intelligence

AI business intelligence: competitor analysis, web scoring, reviews, market research

alpha-insights

Business Analyst Skill. Triggered when users ask about business analysis, industry research, competitive analysis, product analysis, business model analysis, business opportunity discovery, market entry strategy, investment decisions, strategic planning, due diligence, and other strategic topics. Delivers in-depth, decision-grade HTML research reports through a seven-stage workflow (Briefing → Framing → Planning → Research → Insights → Report → Iteration).

codex-orchestrator

DEFAULT PIPELINE for all tasks requiring execution. You (Claude) are the strategic orchestrator. Codex agents are your implementation army - hyper-focused coding specialists. Trigger on ANY task involving code, file modifications, codebase research, multi-step work, or implementation. This is NOT optional - Codex agents are the default for all execution work. Only skip if the user explicitly asks you to do something yourself.

bookmark

Save and organize links for later reading. Use when: user wants to save a URL, manage bookmarks, find a saved link. Don't use when: user just wants to read/fetch a URL (use web_fetch) or research a topic (use research skill).

2026-legal-research-agent

Expert legal research agent for finding and scraping expungement data state by state. Knows authoritative sources, URL patterns, Firecrawl configuration, and 2026 legal landscape. Activate on "find expungement data", "scrape state laws", "legal research", "court URLs", "statute sources", "Clean Slate laws", "automatic expungement research". NOT for interpreting laws (use national-expungement-expert), building UI, or legal advice.

gcal-api-research

Expert research tool for Google Calendar API implementations. PROACTIVELY use when (1) reviewing PRs adding calendar features, (2) planning new event/attendee/recurring event functionality, (3) investigating calendar API issues, (4) validating timezone handling or batch operations. Specializes in recurring events, timezone conversions, multi-calendar support, and edge case identification.

Perplexity API Platform (moved to ai.perplexity/mcp-server)

Real-time web search, reasoning, and research through Perplexity's API

learning-goal

Guide the learner through a structured goal-setting exercise grounded in research on Mental Contrasting with Implementation Intentions (MCII). The exercise helps developers set concrete learning goals, visualize meaningful outcomes, anticipate realistic obstacles, and build if-then plans to overcome them.

prompt-improver

This skill enriches vague prompts with targeted research and clarification before execution. Should be used when a prompt is determined to be vague and requires systematic research, question generation, and execution guidance.

solodit

Search Solodit for similar smart contract security findings. Use when reviewing vulnerabilities, comparing to known issues, or researching prior art from real audits.

perfup

Autonomous performance optimization: research, PoC, benchmark, implement, review, PR

academic-researcher

Academic research assistant for literature reviews, paper analysis, and scholarly writing. Use when: reviewing academic papers, conducting literature reviews, writing research summaries, analyzing methodologies, formatting citations, or when user mentions academic research, scholarly writing, papers, or scientific literature.

intel-job-runner

Automated intelligence collection pipeline. Fetches from RSS/HTML/arXiv/manual sources, deduplicates, filters, ranks, and produces structured reports with upload bundles. Use for weekly intel digests, investment research, company dossiers, or any info-gathering task.

Io.Github.King Of The Grackles/Reddit Research Mcp

Turn Reddit's chaos into structured insights with full citations - MCP server for Reddit research

ResearchTwin

Federated research discovery with S-Index metrics across a network of digital twins.

study

Use this skill when the user wants to read, study, analyze, or deeply understand a research paper (PDF).

Rankoracle

SEO Intelligence MCP — 13 tools: keyword research, SERP, domain audits, competitors.

end

Session-closing skill that helps users wrap up intentionally. Use when: user says done, wrapping up, end my day, closing out, call it a day, goodnight, that's it for today, checkpoint, pause. Bookend to /start. Scans git activity, surfaces what happened, spawns a crystallize agent for deep analysis, commits uncommitted work, and closes with a brief summary. Works for end-of-day, end-of-research-batch, end-of-decision-sprint, or mid-work checkpoints.

Spec-driven CLI for orchestrating multiple AI coding agents (Claude, Gemini, Codex, Cursor) with research, feature, and feedback workflows

Academic Deep Research 🔬

You are a methodical research assistant who conducts exhaustive investigations through required research cycles. Your purpose is to build comprehensive understanding through systematic investigation.

ad-hoc-profile-load

Load an agent profile on demand to adopt a specific role for the current session. Applies the profile's identity, governance scope, boundaries, and initialization declaration without requiring a running mission. Triggers: "act as the architect", "load the reviewer profile", "switch to implementer", "use the researcher persona", "start a session as planner", "adopt the curator role", "initialize profile", "assume the designer identity". Does NOT handle: mission advancement (use runtime-next), constitution interview/generation (use constitution-doctrine), or profile creation (use spec-kitty agent profile create).

PartsTable

MCP server for IT hardware parts research: normalize PNs, search listings, get subs/comps.

Compound Planning Analysis

You are conducting a comprehensive research analysis of a user's Plannotator plan archive. The goal: extract patterns from their denied plans and annotations, reduce them into actionable insights, and produce an elegant HTML dashboard report.

ai_pulse

Stay current on AI developments with trending news, GitHub repos, and research highlights with a reading list

nlm-cli-skill

Expert guide for the NotebookLM CLI (`nlm`) - a command-line interface for Google NotebookLM. Use this skill when users want to interact with NotebookLM programmatically, including: creating/managing notebooks, adding sources (URLs, YouTube, text, Google Drive), generating content (podcasts, reports, quizzes, flashcards, mind maps, slides, infographics, videos, data tables), conducting research, chatting with sources, or automating NotebookLM workflows. Triggers on mentions of "nlm", "notebooklm", "notebook lm", "podcast generation", "audio overview", or any NotebookLM-related automation task.

Semilattice - audience prediction

Semilattice lets agents make predictions about audiences for content testing and decision making.

deepagents-planning-todos

Use the write_todos tool effectively for task planning and decomposition in Deep Agents. Use when users want to (1) implement task planning with write_todos, (2) break down complex tasks into subtasks, (3) track agent progress through todos, (4) debug why todos aren't completing, (5) design todo structures for different task types (research, coding, analysis), (6) understand todo status lifecycle and best practices, or (7) visualize todo progression from LangSmith traces.

kiln-pipeline

Kiln multi-modal software creation pipeline. Orchestrates 7 autonomous steps from project onboarding through brainstorm, research, architecture, iterative build, validation, and final report. Use when the user invokes /kiln-fire.

agent-integration

Run all three agent integration phases sequentially: research, write-tests, and implement using E2E-first TDD (unit tests written last). For individual phases, use /agent-integration:research, /agent-integration:write-tests, or /agent-integration:implement. Use when the user says "integrate agent", "add agent support", or wants to run the full agent integration pipeline end-to-end.

docs-research

Gather official, up-to-date documentation and convert it into a concise implementation checklist for the current coding task.

Sensecritiq

UX research synthesis. Upload interviews and get themes, findings, and verbatim quotes in minutes.

VARRD — AI Trading Research & Backtesting

AI trading research: event studies, backtesting, statistical validation on stocks, futures, crypto.

Design reference

Structured design research process that builds visual direction from reference review and stakeholder feedback. Produces a `DESIGN_RESEARCH.md` document and an approved prototype.

Parallel Task MCP

An MCP server for deep research or task groups

Japan Travel Research & Recommendation Builder

Research top recommendations for a location in Japan and output the results in your preferred format.

b0

Delegate tasks to AI agents via Box0. Use when the user asks to review code, check security, run tests, compare tools, get multiple perspectives, research a topic, analyze data, write docs, or any task that could benefit from specialized or parallel execution. Also use when the user mentions agent names or says "ask", "delegate", "get opinions from", or "have someone".

CoderSwap MCP Server

Build searchable AI research knowledge bases with hybrid vector search directly in Claude Desktop.

librarium

Run multi-provider deep research queries using the librarium CLI

Io.Github.HomenShum/Nodebench

260 MCP tools across 49 domains. AI Flywheel, quality gates, research, web scraping.