{"data":[{"slug":"malchela","title":"malchela","description":"MalChela is a Rust-based malware analysis toolkit for DFIR analysts and malware researchers. It exposes file triage, string extraction with IOC detection and MITRE ATT&CK mapping, YARA rule generation, hash lookup, VirusTotal and MalwareBazaar threat intel queries, and NSRL database checks — all accessible to Claude via MCP server integration.","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/dwmetz/MalChela.git"},{"slug":"magellan","title":"magellan","description":"Enterprise knowledge discovery and process repository. Point Magellan at a folder of collected materials — code, documents, meeting transcripts, API specs, diagrams — and it builds a structured, queryable knowledge graph organized by business domain.\n\nThen use the knowledge graph to research, plan, and execute work with full context at every stage.","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"apardawala/ai-navigator"},{"slug":"machfive-cold-email","title":"machfive-cold-email","description":"Generate hyper-personalized cold email sequences per lead directly from your AI workflows. Connects to the MachFive API to research prospects and craft unique outreach for individual leads or batches. Real API integration — not prompt templates.","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"Bluecraft-AI/machfive-skills"},{"slug":"lorkinsey","title":"lorkinsey","description":"Structured product thinking sessions modeled after YC office hours. Helps you stress-test new ideas, product directions, and \"is this worth building\" decisions through research-backed interrogation — not cheerleading. Anti-sycophantic by design: takes positions, challenges assumptions, and demands specifics before letting you move forward.","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/Lorhard/lorkinsey.git"},{"slug":"llm-dark-patterns","title":"llm-dark-patterns","description":"A 10-hook suite that suppresses LLM dark-pattern defaults at the textual boundary. Bundles three branches: interaction-style hooks (no-vibes false-success closeouts, time-anchor training-cutoff confusion, no-curfew unsolicited paternalism, no-sycophancy praise-spam at turn open, no-cliffhanger dangling permission-loop endings, honest-eta vibe time estimates plus linear-scaling claims), fact-fabrication hooks (no-fake-recall false-memory claims without quoted prior content, no-fake-stats fabricated percentages without source, no-fake-cite academic citations without verifiable URL), and one continuity hook (no-amnesia, snapshots working state on Stop / PreCompact / PostCompact, rehydrates on SessionStart so context survives auto-compaction). Each hook is conservative on purpose with explicit allow-clauses documented in its RECEIPTS.md. Backed by AbstentionBench, Anthropic's Constitution, AAAI 2026 sycophancy research, the CoT-faithfulness literature, and the Frontiers in AI 2026 paper on LLM-mediated cost drivers. Includes a METHODOLOGY.md harness-engineering playbook for shipping new hooks against newly discovered dark patterns.","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/waitdeadai/llm-dark-patterns.git"},{"slug":"learning-framework","title":"learning-framework","description":"Adult learning & knowledge management meta-router — 12 cognitive science-based frameworks (Zettelkasten, PARA/Second Brain, Evergreen Notes, Spaced Repetition, Active Recall, Feynman Technique with AI-as-feedback-channel workflows, Interleaving, Deliberate Practice, Chunking, Deep Work, Pomodoro, Metalearning). Based on Ebbinghaus, Roediger-Karpicke, Bjork, Ericsson research. Korean learner context (수능/CSAT, 공무원 civil service exams, CPA, 회독 repeated-reading culture). Invoke /learn.","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/ironyjk/learning-framework.git"},{"slug":"learn","title":"learn","description":"Research any topic online and create comprehensive learning guides with RAG-optimized indexes for your AI agents. `/learn react hooks` searches the web for ~20 sources, scores each on a 100-point scale across authority (3x), recency (2x), depth (2x), examples (2x), and uniqueness (1x), fetches only high-scoring sources, and writes a synthesized guide to `agent-knowledge/<topic>.md` with companion `resources/<topic>-sources.json` containing full source metadata. Six-stage methodology: progressive discovery, quality scoring, just-in-time extraction, synthesis, source citation, RAG optimization. Output shape designed for ingestion by Claude Code, OpenCode, and Codex agent-knowledge libraries.","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/agent-sh/learn.git"},{"slug":"larch","title":"larch","description":"Larch is a multi-agent workflow automation plugin for Claude Code that orchestrates the full software development lifecycle — from design through merge — using collaborative AI agents. It provides six slash commands (/design, /implement, /review, /research, /loop-review, /alias) that coordinate up to 5 parallel agents (Claude subagents + Codex + Cursor) with a voting-based review system to adjudicate findings. Key features include: diverge-then-converge design planning where independent agents propose architectures before anchoring bias can set in; multi-round code review with a 3-agent voting panel (YES/NO/EXONERATE) that accepts or rejects each finding; end-to-end automation from feature design through PR creation, CI monitoring, Slack announcements, and merge; a reviewer competition scoring system that tracks finding quality; and systematic whole-repo review via partitioned slices. External tools (Codex, Cursor, Slack) are optional — the plugin degrades gracefully when they're unavailable.","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/zhupanov/larch.git"},{"slug":"kansei-link","title":"kansei-link","description":"Discover 301 SaaS/API services with trust scores and auto-invocation skill. 91-96% token savings vs web research.","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/michielinksee/kansei-link-plugin.git"},{"slug":"job-assistant","title":"job-assistant","description":"Analyze job postings and optimize your resume with an 11-step interactive workflow.\nThe plugin conducts company research, structures job requirements, performs gap analysis between your resume and the posting, optimizes your resume for ATS keywords, and delivers a 4-perspective review (practitioner, recruiter, HR, CEO). Includes 8 specialized agents and 3 skills. Supports Korean job market with privacy-first design (personal info masking throughout the process).","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/imfelixkim/job_assistant.git"},{"slug":"idstack","title":"idstack","description":"Evidence-based instructional design pipeline. 11 skills backed by peer-reviewed research across 11 domains. Analyze, design, build, review, and export courses with every recommendation citing its evidence tier (T1 meta-analyses through T5 expert opinion).","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/savvides/idstack.git"},{"slug":"hunter-for-claude","title":"hunter-for-claude","description":"Find and organize companies without leaving Claude. This app connects directly to Hunter to help you discover businesses that match your criteria, enrich them with reliable company-level data, and save the ones you care about.\n\nYou can search for companies using natural language (for example, by location, industry, size, or technologies), review results with domain-level insights, and enrich any company to get structured information such as industry, headcount range, headquarters location, and tech stack. When a company looks relevant, you can save it straight to your Hunter Leads for later use.\n\nDesigned for sales, marketing, and research workflows, the app focuses on fast exploration and clean company data. No personal data, no guesswork, just actionable company insights inside Claude.","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/hunter-io/claude-plugin.git"},{"slug":"hive","title":"hive","description":"Bio-inspired swarm orchestrator for Claude Code. Breaks tasks into parallel subtasks, coordinates agents through stigmergy, learns across sessions with pheromone scoring, and scales concurrency adaptively. 16 mechanisms from ant colonies, honeybee swarms, and AI research.","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/CipherandRow/claude-hive-plugin.git"},{"slug":"haytham","title":"haytham","description":"Lifecycle control plane for AI-built products. Takes a startup idea and produces a validated, specified, architected, implementation-ready system through four phases: validate the idea with market and competitor research, define MVP scope and capabilities, make architecture and build-vs-buy decisions, and generate implementation-ready OpenSpec files. Orchestrates 10 specialist agents that build a traceable reasoning graph from founder intent to production specs. Every requirement traces to a capability, every capability traces to a user need.","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/arslan70/haytham.git"},{"slug":"hasdata","title":"hasdata","description":"HasData turns Claude Code into a research, lead-generation, and data-extraction agent. Instead of stitching together generic scrapers, the plugin gives Claude direct access to 40+ dedicated data APIs that return ready-to-use structured JSON.\n\n**Coverage**\n\n- **Search** — Google SERP / News / AI Overviews / Trends / Events / Images / Flights, Bing SERP\n- **E-commerce** — Amazon (search, product, seller, seller-products), Shopify catalogs, Google Shopping, Immersive Product\n- **Real estate** — Zillow / Redfin listings + property details, Airbnb listings + properties\n- **Local** — Google Maps places / reviews / photos, Yelp, YellowPages\n- **Jobs** — Indeed and Glassdoor search + listing details\n- **Social** — Instagram public profile data\n- **Generic scraping** — any URL into HTML, text, markdown, or AI-extracted JSON, with screenshot capture, CSS-selector extraction, AI schema extraction, custom headers, and click/fill page interactions\n\n**Three slash commands ship with the plugin:**\n\n- `/hasdata:leads` — local lead generation across Maps + YellowPages with pagination and auto-expansion to similar categories\n- `/hasdata:enrich` — person / company enrichment via Google search dorks plus canonical-site scraping (emails, LinkedIn, GitHub, X with follower counts, Crunchbase)\n- `/hasdata:price` — cross-retailer price monitoring with a built-in price-history log for `/schedule` integration\n\nRequires the `hasdata` CLI (one-line install) and a free API key at <https://app.hasdata.com/api-keys>","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/HasData/hasdata-claude-plugin.git"},{"slug":"guild","title":"guild","description":"Guild turns Claude Code into a self-evolving team of specialist agents for larger software tasks. It plans before execution, selects the right specialists, assembles focused context, preserves durable project memory, and improves its skills over time through evidence-based reflection.\n\nInstead of treating every request as a single long prompt, Guild breaks work into a governed workflow: clarify the goal, compose the right agent team, execute with scoped context, review the results, capture decisions, and only evolve specialists or skills when repeated evidence shows they are useful. When native agent teams are available, Guild coordinates them directly; when they are not, it falls back to sub-agents with the same planning and memory discipline.\n\nGuild is designed for projects where context, quality, and continuity matter: feature work, refactors, documentation, QA, release preparation, research-heavy implementation, and recurring workflows that benefit from reusable specialist knowledge.","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/lookatitude/guild.git"},{"slug":"guided-ai-product-management","title":"guided-ai-product-management","description":"The most comprehensive PM skills plugin available — 83 structured workflows across 9 domains, built natively for Claude Code and compatible with Cursor, Windsurf, and Gemini CLI via MCP.\n\nWhat makes it different:\n\nInteractive learning — 8 Socratic learning modules that teach PM frameworks by doing, not reading. Practice user interviews with a simulated user, negotiate roadmap trade-offs with conflicting executives, apply RICE scoring to a real backlog. Built for PMs who want to get better, not just get things done.\n\nVibe coding for PMs — a full suite for PM-builders shipping with AI: write specs optimised for Cursor and Claude Code, plan prototypes, make technical architecture decisions without an engineering background, review AI-generated code for spec compliance, and run pre-launch deployment checklists.\n\nFull coverage — product discovery (Teresa Torres's OST), strategy (9-section canvas, Lean Canvas, Porter's, PESTLE), execution (PRDs, OKRs, sprints, retros), go-to-market (GTM strategy, growth loops, ICP), market research, data analytics (A/B tests, SQL, cohort analysis), and AI product management (responsible AI, model evaluation, prompt engineering).","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/tarunccet/pm-skills.git"},{"slug":"grainulator","title":"grainulator","description":"Research sprint orchestrator for Claude Code. Ask a question, get a decision-ready brief — every finding is tracked as a typed claim, adversarially challenged, confidence-graded, and compiled into self-contained HTML output. Zero dependencies, MIT licensed.","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/grainulation/grainulator.git"},{"slug":"gooseworks","title":"gooseworks","description":"GooseWorks gives your coding agent access to 100+ data skills for GTM, sales, and research tasks. Search and scrape Twitter/X, Reddit, LinkedIn, and the web. Find people, emails, and\ncompany info. Enrich contacts, research competitors, build lead lists, and run outbound campaigns — without leaving your coding agent.\n\nSkills are organized into capabilities (atomic tools), composites (multi-step chains), and playbooks (end-to-end workflows) covering lead generation, outreach, competitive\nintelligence, SEO, content, ads, and monitoring.\n\nGooseWorks also includes an API gateway to 300+ data APIs (Hunter, Apollo, Clearbit, PDL, and more) — all accessible through a single API key with pay-per-use credit billing.","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/gooseworks-ai/gooseworks.git"},{"slug":"github-reuse-assistant","title":"github-reuse-assistant","description":"ML/DL GitHub project reuse assistant - a structured 6-phase workflow plugin for Claude Code. Guides users from git\nclone to successful training and testing of any ML/DL GitHub project. Features include: deep research via DeepWiki\nand paper reading with structured PROJECT_NOTES.md output, environment compatibility checking with OOM estimation and\nbatch size recommendations, dataset format validation with automatic conversion script generation and visualization,\nconfiguration file management with parameter checklists, and built-in error auto-diagnosis for common training\nfailures (OOM, NaN loss, size mismatch, etc.). Supports PyTorch, TensorFlow, and multi-platform (Linux/macOS/WSL2).","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/lidapengpeng/github-reuse-assistant.git"},{"slug":"gia-prospecting-engine","title":"gia-prospecting-engine","description":"AI-powered lead generation and outreach automation for Claude Code and Cowork. Find companies hiring in your target market, research prospects, and draft personalized cold emails — all in parallel. Powered by GIA governance.","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/knowledgepa3/gia-prospecting-engine.git"},{"slug":"gemini-for-claude","title":"gemini-for-claude","description":"Bridge Claude Code to Google's Gemini CLI. Mirrors the pattern of the official Codex plugin but for Google's AI stack. Adds 9 slash commands under /gemini: for code review, adversarial security review with CVE search, web-grounded research via Google Search (capability Codex lacks), task delegation with 1M-token context, image generation via nanobanana, and background job management. Supports Google OAuth (free tier), API key, and Vertex AI auth. Zero npm dependencies — one auditable Node.js ESM companion script.","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/philipvanlewis/gemini-for-claude.git"},{"slug":"gambit","title":"gambit","description":"Gambit brings structured PM workflows into Claude Code. Skills cover every phase of the product lifecycle: synthesizing user research, writing feature requests with auto-generated acceptance criteria, generating strategy documents, building OKRs and roadmaps, running sprint reviews, drafting release notes and stakeholder updates, and producing engineering handoff briefs.\n\nEach skill silently scans your project for existing context — strategy docs, OKRs, prior research output — before asking questions, so output builds on what's already there rather than starting from scratch.\n\nChained agents sequence skills into end-to-end workflows with confirmation steps between stages.","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/felipecabargas/gambit.git"},{"slug":"everyday-causal-skills","title":"everyday-causal-skills","description":"A causal inference plugin for AI agents. Describe a problem in plain language and it helps you choose a method, check assumptions, write the analysis in R or Python, and stress-test the results.\n\nWho this is for: Anyone who needs to measure whether something actually worked, such as Marketing and growth teams; Product managers and BI analysts; Data scientists; Revenue and operations teams; Policy researchers; Students and self-taught practitioners.\n\nWhat you get from this plugin\nThe plugin works in five steps, from refining the question you want to answer, to writing the report. You are free to pick and start from any step you like.\n\n→ Describe your problem\n→ Get a method recommendation\n→ Check assumptions and structure the analysis\n→ Stress-test the results\n→ Write the executive report","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/RobsonTigre/everyday-causal-skills.git"},{"slug":"evalloop","title":"evalloop","description":"Autonomous prompt optimization using Karpathy's autoresearch pattern. Editable file + fixed eval metric + autonomous improvement loop.","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/kingmadellc/claude-plugins.git"},{"slug":"enrichlayer","title":"enrichlayer","description":"Give Claude access to billions of company and person profiles, work emails, contacts, school and job data via the Enrich Layer API. Turns Claude into a recruiter, an SDR, an account researcher — with one plugin and your API key.\n\nIncludes 25 MCP tools (company/person profiles, employee lookup, work email retrieval, role lookup, reverse email/phone, job search, school data, company and person search, credit balance) and 4 composed skills (find-decision-maker, research-account, find-work-email, enrich-csv) that chain those tools into common sales, recruiting, and research workflows.","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/enrichlayer/claude-plugins.git"},{"slug":"dominion-flow","title":"dominion-flow","description":"Research-backed orchestration for Claude Code. Structured workflow from idea\n\n    to production with parallel execution, session memory, 70-point validation, autonomous\n    mode, and adversarial review. 49 commands, 51 agents across 7 departments.","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/ThierryN/fire-flow.git"},{"slug":"deep-review","title":"deep-review","description":"Deep Review is a Claude Code plugin for rigorous review of papers and technical artifacts. Aiming to reduce \"edit volume\" for researchers and paper-reviewers, it adds a skill that interviews the user first, reads the artifact carefully, decomposes the review into specialist passes,  and verifies claims against sources or computations where possible. It also self-critiques findings, and returns a severity-ranked markdown review with evidence.\n\nIt is especially useful for pre-submission paper review, theorem/proof stress tests, empirical or methods audits, literature positioning, technical memos, and AI-generated draft review.","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/dipakkrishnan/deep-review-skill.git"},{"slug":"deep-research","title":"deep-research","description":"Multi-agent deep research pipelines for Claude Code. Runs internet research, repository analysis, schema-driven structured research, and media research (via NotebookLM) using coordinated Agent Teams --- Haiku scouts build source corpora, Sonnet specialists verify and cross-challenge findings, and an Opus synthesizer produces the final output.  Drop-in plugin, no code dependencies.","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/oduffy-delphi/deep-research-claude.git"},{"slug":"curiosity-stack","title":"curiosity-stack","description":"Curiosity Stack turns any technology signal, market theme, or global event into a structured 6-layer value chain breakdown — through Socratic conversation, not summaries. Each layer builds on the previous: Signal → Mechanics → Cause Tree → Solution Space → Build Requirements → Value Chain Actors → Research Landscape.\n\nThe India Proxy Agent runs a mandatory sourcing checklist across NASSCOM Deep Tech, DPIIT Startup India, GeM portal, BSE SME / NSE Emerge, and 12 curated India VC portfolio pages — surfacing listed, SME-listed, and private Indian companies at each layer before they appear in mainstream coverage.\n\nIncludes: Scenario Library (18 pre-built topics), Watchlist with trigger alerts, Thesis Stress Test, Decomposition Library, and Domain Knowledge registry for seeding pre-coverage companies.","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/ameya85/curiosity-stack.git"},{"slug":"critical-thinking-tools","title":"critical-thinking-tools","description":"Critical Thinking Tools is a science-backed Claude Code plugin from Cognitive Bias Lab that helps users reason more clearly about decisions, beliefs, plans, forecasts, and disagreements. It provides structured thinking workflows based on research in psychology, decision science, forecasting, intelligence analysis, and debiasing.\n\nThe plugin includes 12 practical tools: devil’s advocate review, pre-mortem analysis, outside-view forecasting, competing hypotheses, consider-the-opposite, steelmanning, Socratic questioning, base-rate audits, causal story dissection, calibration forecasting, decision journals, and groupthink red-team checks.\n\nEach tool guides Claude to produce structured outputs with likely bias risks, evidence that would change the conclusion, next actions, and a short science note. The plugin is designed as a practical judgment aid, not a guarantee of unbiased thinking, and emphasizes uncertainty, evidence updates, and careful reasoning.","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/cognitive-bias-lab/cognitive-bias-lab-plugins.git"},{"slug":"cookiy","title":"cookiy","description":"Cookiy is a Claude Code plugin for end-to-end user research. It provides skills to design research plans, screening questionnaires, and discussion guides; analyze and synthesize raw interview notes or transcripts into evidence-backed reports; and—when using Cookiy AI—run AI-moderated qualitative interviews and quantitative surveys with recruitment and reporting. Use it whenever the task involves user research, customer discovery, interview guides, surveys, or research synthesis.","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/cookiy-ai/user-research-skill.git"},{"slug":"content-analysis-plugin","title":"content-analysis-plugin","description":"Scientific content analysis for academic research, built for Claude Cowork.","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/PeterMalmkjaer/content-analysis-plugin.git"},{"slug":"content-analysis","title":"content-analysis","description":"Scientific content analysis for academic research. Supports the full workflow from research question to publication-ready output: codebook development, qualitative and quantitative coding, thematic analysis, and inter-coder reliability assessment. Follows established methodology from Krippendorff, Hsieh & Shannon, Mayring, and Braun & Clarke. Produces structured output files including coded data tables (.xlsx), theme summaries (.md), and reliability reports.","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/PeterMalmkjaer/content-analysis-plugin.git"},{"slug":"comparative-landscape-brief","title":"comparative-landscape-brief","description":"Produce a structured briefing document that compares a set of three to eight organizations, products, or initiatives for a third-party audience: investors, board, exec team, M&A committee, partner steering group. Researches each entity, analyzes recent public messaging, runs a third-party verification pass on quantitative claims, and writes a single markdown brief with per-entity sections, cross-cutting observations, and discussion prompts ready for the meeting.","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"enalbenerraw/blanewarrene"},{"slug":"claude-transcribe","title":"claude-transcribe","description":"Transcribe video and audio from URLs (YouTube, X/Twitter, TikTok, Vimeo, podcasts) or local media files into plain-text transcripts using yt-dlp + OpenAI Whisper. Auto-triggers when you ask Claude to research, transcribe, summarise, or take notes on a video. Runs entirely on-device — no audio is uploaded anywhere. Browser cookies are passed to yt-dlp automatically so age-gated and members-only sources work for signed-in users.","developer":null,"category":null,"reported_installs":null,"active":true,"first_seen_at":"2026-10-03T22:13:33.942Z","last_seen_at":"2026-10-14T06:00:00.309Z","last_changed_at":"2026-10-03T22:13:33.942Z","platform":"claude","sources":["Community"],"works_with":["Claude Code"],"marketplace_url":null,"repository_url":"https://github.com/alicicek/claude-transcribe.git"}],"total":152,"page":3,"per_page":36,"observed_at":"2026-10-14T06:00:00.309Z","source_counts":{"web":341,"demo":13,"skills":5,"official":315,"community":2283,"knowledge-work":123}}