Research plugins

Stress-tests a plan or design by interviewing you relentlessly, walking through each decision branch and resolving dependencies one-by-one before you build.

Accelerate academic publishing workflows for Nature/high-impact journals: conduct multi-source literature searches with citation verification, draft and polish manuscript sections, generate submission-grade figures in Python or R, prepare data availability statements, convert papers to Chinese patent drafts or PPTX presentations, simulate peer review, and produce reviewer response letters.

Run a full academic research pipeline: deep research, paper writing, integrity checks, peer review simulation, revision, and finalization. Includes citation verification, cross-source synthesis, methodological design, and venue-specific AI disclosure generation.

Delegate research, documentation lookup, and API fact-gathering to a background agent that investigates primary sources and saves findings as Markdown files in your repository.

Conduct comprehensive startup business analysis including market sizing (TAM/SAM/SOM), 3-5 year financial modeling, competitive landscape analysis, team planning, and strategic research. Generate investor-ready business cases and dashboards for fundraising and growth decisions.

Fetches up-to-date, version-specific documentation and code examples for any library or framework directly into your LLM context, keeping answers current without manual searching.

12-agent pipeline for academic paper writing: structures outlines, writes drafts, verifies citations, generates bilingual abstracts, formats to journal style (LaTeX/DOCX/PDF), simulates peer review, and produces publication-ready figures with colorblind-safe palettes.

Generates professional PowerPoint presentations, videos, music, images, and podcasts from text prompts. Conducts deep research, analyzes data with SQL, creates polished frontend UIs, and deploys to Vercel — all within a conversational AI workflow.

Execute marketing and growth strategies with structured workflows for A/B testing, analytics tracking, SEO audits and optimization, brand voice analysis, and email campaign creation.

Automates end-to-end investment banking pitch deck creation: builds Excel valuation models (comps, DCF, LBO, 3-statement) and branded PowerPoint decks from target company inputs, with built-in auditing and number consistency checks.

Provides specialized agents for product strategy, legal advisory, content marketing, UX research, technical writing, project management, and sales engineering, enabling developers to handle business and product workflows directly from the CLI.

Generate institutional-quality equity research reports including earnings analysis, initiating coverage, sector landscapes, and catalyst calendars. Screen stocks, update financial models, and maintain investment theses with automated workflows.

Instantly access 149 ready-to-use agent skills for scientific research, data analysis, machine learning, bioinformatics, and technical writing across domains. Execute experiments, analyze sequences, run simulations, generate reports, and automate lab workflows without writing boilerplate.

Conduct market research, competitive analysis, trend forecasting, and idea validation through specialized research agents that gather data, analyze competitors, validate ideas, and synthesize findings into actionable insights.

Provides product management workflows for startup founders, including RICE prioritization, customer interview analysis, PRD generation, competitive analysis, Stripe payment integration, conversion-focused marketing copy, and SaaS launch planning using the ORB framework.

Develop, backtest, and validate algorithmic trading strategies with proper handling of biases and transaction costs. Quantitatively analyze portfolio risk using VaR, CVaR, Sharpe, Sortino, and drawdown metrics. Delegate risk assessment and portfolio protection to specialized AI subagents.

Run a rigorous 13-agent academic research pipeline that formulates precise questions, systematically searches and evaluates literature, synthesizes findings, and produces APA 7.0 reports with bias assessment, biostatistical analysis, and ongoing literature monitoring.

Manage the full employee lifecycle from recruiting and onboarding to performance reviews, compensation analysis, and policy guidance, with integrations to Slack, Notion, Jira, and Databricks for HR data and workflows.

Orchestrates the full academic research pipeline from idea to manuscript, coordinating a 10-stage workflow with state machine tracking, claim validation, reference verification, and two-stage peer review to ensure integrity and completeness.

Autonomous financial research associate that produces sector primers, competitive landscape decks, comparable company analyses, stock screens, and investment idea shortlists — outputs structured Excel and PowerPoint files.

Simulates a multi-perspective academic peer review process with 5 independent reviewers (EIC, 3 peers, Devil's Advocate) and multiple review modes, synthesizing reports into an editorial decision letter and revision roadmap.

Analyze financial data with ratio calculations, DCF modeling, and Monte Carlo simulations, and generate branded documents (PowerPoint, Excel, PDF) using Acme Corp brand guidelines.

Automate sell-side M&A workflows: build acquirer universes, draft CIMs and teasers, create pitch deck slides and financial data packs, track deal pipelines, and model accretion/dilution for transactions.

Generate AI images from text descriptions while browsing a 1300+ curated gallery for style inspiration, then orchestrate parallel multi-direction outputs with batch prompt writing and A/B variation workflows.

Automate private equity deal sourcing, due diligence, portfolio monitoring, and investment committee memo creation with CRM integration and founder outreach

Triage and prioritize support tickets, research customer context across Slack, Intercom, HubSpot, and internal docs, draft professional responses, escalate issues with structured briefs, and turn resolved cases into knowledge base articles.

Automates equity research workflows: processes earnings calls and filings, updates financial models, audits spreadsheets, and generates professional reports and morning meeting notes.

Build and audit financial models (DCF, LBO, 3-statement, comps), clean and analyze spreadsheet data, create competitive landscape decks, and access institutional financial data APIs – all within Claude Code workflows.

Build institutional-quality financial models (DCF, LBO, 3-statement, comps) directly in Excel from a ticker and assumption set, with automated spreadsheet generation, formula auditing, and sensitivity analysis.

Search across Slack, Notion, Jira, Confluence, Asana, Guru, and Databricks from a single query. Synthesize results from multiple sources into coherent answers with source attribution, and generate daily digests of activity across connected tools.

Solve competition math problems (IMO, Putnam, USAMO, AIME) using adversarial verification that catches errors self-verification misses, with calibrated confidence outputs and optional LaTeX PDF generation

Autonomously optimize any file by running iterative experiments that measure a metric (speed, size, test pass rate, etc.), keeping changes that improve it. Schedule loops from 10 minutes to monthly, track results, and resume paused experiments.

Accelerate early-stage life sciences R&D by searching biomedical literature (PubMed, bioRxiv, Consensus), querying drug targets and clinical trials (ChEMBL, Open Targets, ClinicalTrials.gov), running bioinformatics pipelines (nf-core), analyzing single-cell RNA-seq data, converting lab instrument outputs to standardized formats, and creating scientific diagrams via BioRender.

Automate 90+ Korean daily-life and business tasks: book KTX/SRT trains, search Coupang/Daangn/Naver Shopping, check real estate prices, look up government data (tax, pension, business registration), track parcels, find nearby services (gas stations, ERs, parking), and manage HWP documents—all through Claude Code.

Write high-quality content with AI-assisted research, citations, hooks improvement, outline iteration, and real-time feedback on each section, turning solo writing into a collaborative partnership.

Analyzes your product or service, identifies target companies, and delivers actionable lead-contact strategies for sales prospecting and market research.

Extracts competitor ads from Facebook and LinkedIn ad libraries, analyzes messaging patterns and creative approaches to inspire ad campaigns and understand market positioning.

Run end-to-end product management workflows — discovery, strategy, roadmap planning, PRD writing, prioritization, and career transitions — with structured skills for market analysis, user research, positioning, financial modeling, and AI product evaluation.

Generate professional financial reports including equity research earnings previews, capital markets activity briefings, and company tear sheets with live S&P Capital IQ data, formatted as HTML, PowerPoint, or Word documents

Run product-market research directly in Claude Code: analyze competitors, segment markets, estimate TAM/SAM/SOM, create user personas and customer journey maps, and perform sentiment analysis on feedback data.

Semi-automated research assistant combining Zotero-integrated literature review, paper annotation, structured note-taking in Obsidian, experiment tracking, statistical analysis, and academic writing workflows (manuscripts, posters, slides, rebuttals) for AI/ML researchers.

Perform comprehensive product strategy analysis with multiple business frameworks — from SWOT and PESTLE to Business Model Canvas and pricing strategy — all within Claude Code.

Run structured product discovery cycles: brainstorm ideas from multiple perspectives, identify and prioritize risky assumptions, design validation experiments, synthesize customer interviews, and build metrics dashboards — all within Claude Code.

Generate SQL queries from natural language and perform cohort analysis on user engagement data with retention curves, churn patterns, and statistical A/B testing with ship/extend/stop recommendations.

Analyze financial markets using LSEG data: price bonds, evaluate yield curves, assess FX carry trades, value options, build macro dashboards, and generate equity research notes.

Provides frameworks from The Minimalist Entrepreneur for validating business ideas, building MVPs, defining company values, creating marketing and sales strategies, and making sustainable growth decisions.

Define and execute go-to-market strategies: identify beachhead segments, ideal customer profiles, growth loops, GTM motions, competitive battlecards, and full launch plans with channels, messaging, and success metrics.

Calculate and interpret key financial ratios (profitability, liquidity, leverage, efficiency, valuation) from financial statement data for investment analysis.

Perform deep web research, content extraction, and people/company discovery using Exa's search API, with multi-step investigation support and structured outputs.

A suite of specialized agents for research, documentation validation, knowledge graph building, game development, and metadata management, enabling automated workflows across these domains.

Run deep institutional stock analysis on A-share, Hong Kong, and US markets — including multi-model valuation, 65-investor panel voting, pump-and-dump fraud detection, and Bloomberg-style HTML reports.

Structured multi-round deliberation with 18 AI personas to analyze decisions from diverse perspectives — blind analysis, cross-examination, weighted verdicts. Invoke standalone agents or orchestrate council sessions for debiasing, risk analysis, strategic planning, and code quality review.

117 specialized sub-agents across 11 categories for coding, research, content, marketing, security, infrastructure, and more. Orchestrate multi-agent research, code review, debugging, documentation, and automation workflows.

Apply fact-based dialectical reasoning to analyze complex problems, prioritize tasks, conduct structured self-criticism, and iteratively refine solutions using Maoist 'seeking truth from facts' methodology.

Reverse-import existing Chinese web novels into a standard project directory structure, then analyze, write, review, and generate covers for long-form and short-form fiction using AI-powered agents and market trend data.

Drills law students Socratically for cold calls, briefs cases, builds course outlines, runs bar prep sessions tuned to jurisdiction, grades IRAC practice, and plans adaptive study schedules without writing answers for the user.

Turn Common Room data into actionable sales intelligence for account research, prospecting, and personalized outreach. Automate call preparation and weekly briefings grounded in real product usage and engagement signals.

Research and debug fine-tuning of LLMs via the Tinker API — run post-training experiments (SFT, RL, DPO, distillation) and systematically triage training/deployment issues.

Query and navigate an OpenKB-compiled wiki via CLI commands, read concept and summary pages, follow wikilinks across the knowledge graph, and generate polished HTML slide decks from KB content with automated review and patching for CSS and accessibility issues.

Automate first-pass trademark clearance, patentability screening, infringement triage, cease-and-desist and DMCA drafting, open source license compliance checks, and IP portfolio deadline management. Integrates with legal research platforms (Lexis+, CourtListener, Solve Intelligence, Descrybe) and Slack for renewal alerts.

Deploy specialized AI agents to automate data engineering, ML pipeline development, LLM application building, research synthesis, and prompt engineering tasks across your projects.

Manage a litigation portfolio end-to-end: intake matters, track deadlines and holds, draft briefs and demand letters, build claim charts and chronologies, prepare deposition outlines, triage subpoenas and privilege logs, and monitor court dockets — adapting to in-house, firm, or solo practice.

Perform U.S. legal research via Westlaw Deep Research, generating fully cited reports with linked citations to Westlaw and Practical Law sources.

Monitors regulatory feeds, diffs new rules against your policy library, tracks comment deadlines and open gaps, and generates a filtered digest for team review. Integrates with Slack, Google Drive, and Lexis+ for notifications, document retrieval, and legal research.

Analyze US stocks with fundamental, technical, and valuation screening, market health signals, strategy backtesting, portfolio monitoring, and risk management. Combines multiple analysis methodologies (CANSLIM, Minervini, Stockbee, dividend growth) into a cohesive research workflow.

Accelerates scientific writing and research workflows — finding papers, generating manuscripts, posters, slides, and regulatory documents with LaTeX formatting, citation management, and peer review evaluation.

Execute 95+ bioinformatics skills on genetic data (23andMe, VCF, FASTQ, etc.) for pharmacogenomics, ancestry inference, scRNA-seq, metagenomics, variant annotation, and genome comparison. All analyses are deterministic, reproducible, and local-first.

Interpret Culture Index survey results and behavioral profiles to analyze team composition, detect burnout risk, evaluate hiring fit, and generate coaching or conflict mediation recommendations from PDF or JSON input.

Orchestrate multi-phase research projects—academic literature reviews, market analysis, technical solution evaluation—by decomposing queries, delegating to specialized sub-agents, and synthesizing findings into structured, cited reports with quality gates.

Access 1000+ scientific tools and 120+ research skills for life sciences data analysis — drug discovery, genomics, variant interpretation, clinical research, and multi-omics integration.

Perform web research and browser automation from the command line: search the web, fetch URLs as clean markdown, run browser agents to navigate and extract data, and control headless browsers. Additionally, expose local ports via SSH tunnels for sharing apps or testing webhooks.

Research and contribute to the Model Context Protocol specification by searching GitHub issues, PRs, and discussions, and querying official documentation from modelcontextprotocol.io.

Query your codebase using natural language by building a local knowledge graph from your repository, with CLI commands to scaffold multi-agent projects, initialize environment configs for LLM providers, and refresh indexed data.

Automate solopreneur operations including marketing research, social media content sourcing (Reddit, Twitter, Product Hunt), AI image generation for banners and logos, domain name research, SEO/GEO optimization, and cross-session knowledge management via markdown memory archives.

Plan complete trips from within Claude Code by generating day-by-day itineraries, packing lists, and budget breakdowns using real-time weather, currency, and timezone data, with AI-powered recommendations for activities and local culture.

Search the web in real-time, perform research, and get reasoned answers with citations via Perplexity's API

Co-creates a personal investment-research LLM Wiki (Karpathy pattern) by interviewing the user to extract their analysis framework into a structured markdown vault with wikilinks, no RAG or vector DB. Supports ingesting research reports, earnings calls, and expert notes into the wiki, plus post-earnings prediction-to-fulfillment reviews. Turns stock-picking, analyst-tracking, and earnings-watching workflows into a compounding knowledge base.

Spawns parallel Claude Code and Codex CLI agents to analyze a product from multiple perspectives (UX, API, architecture) and synthesize findings into actionable optimization plans

Clone, update and analyze competitor repositories to produce evidence-based competitive intelligence with file:line citations from local code and sourced market-landscape claims.

Run adversarial due-diligence on inflated success claims (founders, companies, products) to separate marketing bubble from real signal, attribute wins to product vs timing vs luck, and extract a replicable playbook mapped to your own resources.

Search, extract, crawl, and research the web via Tavily APIs directly from the terminal or an AI agent, returning LLM-optimized results with citations, metadata, and optional markdown output for offline analysis.

Verifies factual claims in documents by searching the web and authoritative sources, then proposes corrections requiring user confirmation. Useful for fact-checking AI model specs, technical documentation, statistics, and general statements.

Run structured business scenario simulations, decision-tree analyses, and digital-twin modeling with constraint validation, calibration loops, and timeline compression for strategic planning.

Aggregate and analyze financial news, market signals, and stock data from multiple sources (AlphaEar, Weibo, Zhihu, WallstreetCN, Polymarket) to generate sentiment analysis, trend forecasts, and professional investment reports with visual diagrams.

Build and maintain research-backed knowledge systems through natural conversation, with automated vault diagnostics, schema enforcement, structural evolution, and a bundled research knowledge graph for methodology guidance.

Learn any topic using first-principles concept DAGs, Socratic tutoring with free-recall verification, and FSRS-scheduled spaced repetition, plus a telemetry dashboard for retention stats and grader audits.

Generate institutional-grade equity research reports for any stock ticker, including fundamental and technical analysis, risk assessment, and BUY/SELL/HOLD ratings with price targets.

Perform financial research and market analysis directly from Claude: analyze stock fundamentals, compare companies, check earnings calendars, and gauge market sentiment using Yahoo Finance data.

Write, critique, and manage fiction manuscripts with specialized agents for planning, drafting, revision, continuity checking, and reader simulation. Maintains story knowledge bases and ensures consistent character voice across long-form projects.

Provides a suite of creative writing tools for drafting, revising, outlining, character development, and editorial review, enabling writers to plan stories, generate prose, receive reader-simulated feedback, and maintain story consistency.

Orchestrate academic research pipelines: conduct literature surveys, design and run experiments, write LaTeX papers, and perform peer review—all within a structured memory system with Codex delegation.

Research market opportunities by analyzing TikTok trends, App Store patterns, and social media virality to validate product ideas, assess competitive features, and identify viral mechanics for apps.

Execute structured reasoning using the First Principles Framework (FPF) with ADI cycle: generate competing hypotheses, verify logic, validate evidence, and make auditable decisions. Manage knowledge base, detect drift, report evidence freshness, and reset sessions.

Execute disciplined red-team and pentest operations using a kill-chain engine with scope enforcement, evidence validation, and cross-engagement pattern memory. Includes skills for AD, cloud, containers, mobile, web, AI/ML, CI/CD, malware analysis, and exploit development.

Guides China Economic Quarterly manuscript preparation from topic selection through R&R response, covering identification strategies, modern staggered-DID estimators, inference, mechanism tests, figure design, abstract polishing, and submission checklist.

Identify market opportunities by analyzing TikTok trends, App Store patterns, and social media virality. Use for trend research, product validation, competitive analysis, and finding viral mechanics for apps.