Recently added
Plugins grouped by the day they were added to the directory, newest first.
Aug 9, 2026
- commit-commands961stars
Streamline your git workflow with simple commands for committing, pushing, and creating pull requests
Claude Code - code-review961stars
Automated code review for pull requests using multiple specialized agents with confidence-based scoring
Claude Code - claude-opus-4-5-migration961stars
Migrate your code and prompts from Sonnet 4.x and Opus 4.1 to Opus 4.5.
Claude Code1 skill - agent-sdk-dev961stars
Claude Agent SDK Development Plugin
Claude Code - voltagent-research25.5kstars
Research, search, and analysis specialists - market research, competitive analysis, trend forecasting, and idea validation
Claude Code - voltagent-meta25.5kstars
Agent coordination and meta-programming - multi-agent orchestration, workflow automation, and safe refactor governance. Works best with other voltagent plugins installed.
Claude Code - voltagent-biz25.5kstars
Product, legal, and business specialists - product strategy, licensing, project management, UX research
Claude Code - voltagent-domains25.5kstars
Domain-specific technology experts - blockchain, fintech, gaming, IoT, payments, X/Twitter APIs
Claude Code - voltagent-dev-exp25.5kstars
Tooling and developer productivity experts - CLI tools, documentation, README generation, and DX optimization
Claude Code - voltagent-data-ai25.5kstars
Data engineering, ML, and AI specialists - data pipelines, machine learning, LLM architecture
Claude Code - voltagent-qa-sec25.5kstars
Testing, security, and code quality experts - code review, penetration testing, QA automation, and UI flow validation
Claude Code - voltagent-infra25.5kstars
DevOps, cloud, and deployment specialists - Kubernetes, Terraform, AWS, Azure, GCP, and SRE
Claude Code - voltagent-lang25.5kstars
Language-specific expert agents with deep framework knowledge - Python, TypeScript, Go, Rust, Java, and more
Claude Code - voltagent-core-dev25.5kstars
Essential development subagents for everyday coding tasks - backend, frontend, fullstack, mobile, and API design
Claude Code - sagemaker-ai856stars
Build, train, and deploy AI models with deep AWS AI/ML expertise brought directly into your coding assistants, covering the surface area of Amazon SageMaker AI.
CodexClaude Code19 skills1 MCP server - migration-to-aws856stars
This no-cost tool assesses your current cloud provider's usage, geography, and billing data to estimate and compare AWS services and pricing, and recommends migration or continued use of your current provider. AWS pricing is based on current published pricing and may vary over time. The tool may generate a .migration folder containing comparison and migration execution data, which you may delete upon completion or use to migrate to AWS.
Codex - deploy-on-aws856stars
Deploy applications to AWS with architecture recommendations, cost estimates, and IaC deployment. Generate validated AWS architecture diagrams as draw.io XML.
CodexClaude Code3 skills3 MCP servers - databases-on-aws856stars
Expert database guidance for the AWS database portfolio. Design schemas, execute queries, handle migrations, and choose the right database for your workload.
CodexClaude Code1 skill3 MCP servers - codebase-documentor-for-aws856stars
Analyze codebases to generate structured technical documentation with source-of-truth citations. Optimized for AWS workloads using CDK, CloudFormation, and Terraform.
CodexClaude Code1 skill2 MCP servers - aws-transform856stars
Migrate, modernize, and upgrade codebases to AWS. Transforms .NET Framework to .NET 8/10, mainframe COBOL to Java, VMware VMs to EC2, SQL Server to Aurora, and upgrades Java/Python/Node.js versions and AWS SDKs. AWS Transform - continuous modernization analyzes codebases for tech debt, security issues, and upgrade opportunities, then remediates them.
CodexClaude Code1 skill1 MCP server - aws-serverless856stars
Design, build, deploy, test, and debug serverless applications with AWS Serverless services.
CodexClaude Code7 skills1 MCP server - aws-amplify856stars
Build full-stack apps with AWS Amplify Gen 2 using guided workflows for authentication, data models, storage, GraphQL APIs, and Lambda functions.
CodexClaude Code1 skill1 MCP server - amazon-location-service856stars
Guide developers through adding maps, places search, geocoding, routing, and other geospatial features with Amazon Location Service, including authentication setup, SDK integration, and best practices.
CodexClaude Code1 skill1 MCP server - openviking-memory39.2kstars
Long-term semantic memory for Codex, powered by OpenViking. Recall on UserPromptSubmit, incremental add_message on Stop (per turn), commit on SessionEnd (Codex >= 0.145) and on PreCompact, with an idle/ended sweep on SessionStart as the fallback for signals, crashes and older Codex builds. Includes a local stdio MCP proxy that reads OpenViking credentials from env/ovcli.conf.
Codex4 skills1 MCP server - openviking-memory39.2kstars
Long-term semantic memory for Claude Code, powered by OpenViking. Auto-recall relevant memories at session start and capture important information during conversations.
Claude Code4 skills1 MCP server - matlab-agentic-toolkit883stars
MATLAB skills and MCP tools for AI coding agents. Testing, debugging, code review, Live Scripts, App Builder, and code modernization.
Codex - breakpoints-adapter1.8kstars
Route questions to domain experts instead of asking the current user
Claude Code1 MCP server - context-mode25.4kstars
MCP server that saves 98% of your context window with session continuity. Sandboxed code execution in 11 languages, FTS5 knowledge base with BM25 ranking, and automatic state restore across compactions.
CodexClaude Code8 skills1 MCP server - syllabus27.6kstars
Generates a curated supplementary reading list from any course syllabus using Consensus academic search. Grill-me intake (syllabus input format + course audience + year range) plus a grouping forcing-options checkpoint before any search runs — so the reading list matches the course's level and recency need. Parses the syllabus to extract topics and learning outcomes, searches Consensus for recent peer-reviewed papers per topic, and produces a professionally formatted .docx with clickable Consensus links, plain-language summaries calibrated to audience level, and Bloom-higher-order discussion questions tied to course learning goals. Triggers whenever a user uploads a syllabus, course outline, or curriculum document and wants supplementary readings. Also triggers on: 'syllabus reading list', 'find papers for my course', 'create a reading list from this syllabus', 'recent research for my class', 'supplementary readings', 'find journal articles for these topics', 'what recent papers cover this material', 'any new research on these course topics', 'update my syllabus with recent papers'. Even casual mentions when a syllabus is attached should trigger this skill.
Claude Code1 skill - research27.6kstars
Default entry point for any research request — a hybrid router that classifies the question deterministically and either delegates to a specialist research skill (pulse for trends/sentiment, grants for NIH funding, litreview for academic literature, syllabus for course reading, patent for prior-art + IP landscape, dossier for entity research) or runs its own plan-decompose-multi-source-search-synthesize-cite fallback workflow when no specialist matches. Always surfaces the routing decision so users can override. Triggers: 'research [topic]', 'look into [topic]', 'what do we know about [topic]', 'investigate [topic]', 'find me information on [topic]', 'do some research on [topic]', 'I need to understand [topic]', or any research request that doesn't obviously match a more-specific specialist skill. Output is a markdown briefing (default) or .docx document (on request) with full citations and an audit log.
Claude Code1 skill - pulse27.6kstars
Multi-source recency research skill. Takes the pulse of any topic across Reddit, Hacker News, the open web, and (optionally) X/Twitter within a configurable recent window (default 30 days). Forcing 2–4 question grill-me intake clarifies topic specificity, angle (trend/sentiment/problems/opportunities/comparison), time window, and platform scope before searching. Phases 1–3 run in parallel per the research-pack convention. Returns a synthesized briefing with citations, engagement metrics, and cross-platform pattern analysis. Source spec: megaprompts/01-pulse-megaprompt.md (PR #657). Implements the Agent Integrity Rules block locked down by PR #657 audit: 1 q/sec per platform, three-count tracking (sent/received/cited), retry-once-after-3s, stop-after-3-consecutive-failures.
Claude Code1 skill - patent27.6kstars
Patent prior-art and landscape intelligence skill — not generic patent help. Commits to one of five sub-use-cases via forcing intake (novelty search / freedom-to-operate / competitive landscape / acquisition diligence / litigation prior-art) before any search runs. Searches Google Patents, Espacenet, USPTO, and optionally Lens.org for citation-graph signals. Output is an editable Word document (.docx) with verdict, ranked closest art (claim-text extracted), CPC-class-aware landscape, family-resolved hits, geographic coverage, FTO flags where applicable, strategy recommendations, and full audit log. Triggers: 'prior art search for [invention]', 'patent search on [topic]', 'freedom to operate analysis', 'FTO for [product]', 'patent landscape for [field]', 'is [invention] novel', 'patents on [topic]', 'competitive patent analysis', 'prior art for litigation', 'patent diligence on [company]'. Produces search signal, not legal advice — always recommends consulting a patent attorney before filing or licensing decisions. Trademark, copyright, and trade-secret questions are out of scope.
Claude Code1 skill - notebooklm27.6kstars
Browser automation skill for controlling Google's NotebookLM. Use when the user wants anything done in NotebookLM (e.g., 'open NotebookLM', 'check my [name] notebook', 'ask my notebook about X', 'add [source] to NotebookLM', 'generate a Video Overview from my notebook', 'use NotebookLM Studio'). Handles reading and querying notebooks, adding sources (URLs, text, files, YouTube links, synthesized content), generating Studio outputs (Audio/Video Overviews, Mind Maps, Reports incl. Briefing Doc/Study Guide/FAQ, Flashcards, Quiz, slide decks, infographics — discover the exact set from the live Studio panel; the UI evolves fast), and creating new notebooks. Requires browser automation environment — fails gracefully when unavailable.
Claude Code1 skill - litreview27.6kstars
Academic literature orientation skill. Turns a research question into a strategically planned mini literature review, delivered as a researcher-friendly Word document (.docx). Searches via free keyless APIs by default (PubMed E-utilities + OpenAlex) with the Consensus MCP as an optional enhancement lane when connected. Grill-me intake (research question + framework hint + tentative depth) before recon search; second forcing checkpoint after Phase 2 confirms framework + sub-areas + depth. Configurable depth (5/10/20 queries) controls coverage vs. speed. Output is a 'launching pad' — orientation guide, not a finished review. Implements research-pack Agent Integrity Rules: 1 q/sec sequential execution, lane check (no plan-tier detection), three-count tracking (sent/received/cited). Source spec: megaprompts/09-litreview-megaprompt.md (PR #657). Sibling of pulse (research-pack shape).
Claude Code - grants27.6kstars
NIH grant research skill for clinical researchers. Grill-me intake (research idea + career stage + preliminary data + environment + submission posture + known institute targets) locks down the funding strategy before any search runs. Runs a 5-facet Consensus positioning analysis (with draft Significance/Innovation language), maps the research to the right NIH institutes and study sections via RePORTER, finds NOSIs and funded overlap, and produces an editable Word document (.docx) with budget/scope-aware mechanism recommendations, submission timelines, and a mandatory program officer recommendation. Triggers: 'grants for [topic]', 'find grants for my research idea', 'what grants match my research', 'help me find NIH funding', 'grant opportunities for my research', or any grant-related request. NIH-only scope — non-NIH funders (PCORI, DOD CDMRP, VA, foundations) are out of scope and flagged at intake.
Claude Code1 skill - dossier27.6kstars
Decision-grade entity research skill — produces a hypothesis-tested dossier on a specific company, person, nonprofit, or government org, not a generic profile. Forcing intake makes the user state their hypothesis upfront (what they already believe and want to verify or disprove) so the dossier tests it rather than confirms it. Output is an editable Word document (.docx) with verdict on the hypothesis, identity facts, 12-month activity timeline, network signals, reputation signals, red flags, 3-5 conversation hooks tied to specific findings, and source-provenance audit log. Uses WebSearch + WebFetch + free APIs (SEC EDGAR, GitHub, ProPublica Nonprofit Explorer) as workhorses; optional BYOK MCPs (LinkedIn, Crunchbase, Apollo, Pitchbook, SimilarWeb) enhance coverage. Triggers: 'research [company]', 'dossier on [person/company]', 'background check on [entity]', 'prep me for a meeting with [person/company]', 'due diligence on [company]', 'what should I know about [entity]', 'research [person] before I [meet/hire/invest]', 'competitor research on [company]', 'investor diligence [company]', 'interview prep for [company]'. Honors sensitivity exclusions for journalism + personal-vetting contexts.
Claude Code1 skill - deep-research27.6kstars
Disciplined, multi-source meta-research for high-stakes questions — the heavyweight alternative to the fast research router. Runs a 9-phase pipeline (reframe into falsifiable hypotheses → genre/blocks → plan → capability discovery → parallel sub-agent fan-out → score & triangulate → synthesize + adversarial pass → verify → refresh targets), triangulates every thesis against >=3 independent, differently-typed sources, saves each source to its own file with verbatim quotes, and never fabricates a citation. Output is an auditable, reusable folder with a delta-update refresh protocol. Use when a wrong answer is expensive: strategy, comparing N options, hypothesis validation, mapping a field.
Claude Code1 skill - research-ops-skills27.6kstars
4 Research-Operations skills + 1 orchestrator: clinical-research (study design: protocol synopsis, endpoint selection, sample-size/power, phase-gating, feasibility), research-finance (R&D program budgeting, burn/runway, F&A indirect-rate modeling, capitalize-vs-expense routing, portfolio ROI), market-research (TAM/SAM/SOM both-methods, survey/sampling design, segmentation, CI synthesis), product-research (interview/JTBD/usability/concept-test design, saturation, insight repository synthesis). Orchestrator skill uses context: fork. Each sub-skill ships per-skill onboarding (onboard.py), a customization loader (config_loader.py) consumed by every tool, and an isolated opt-in autoresearch evaluator (ar_evaluator.py) bridging to engineering/autoresearch-agent. 24 stdlib-only Python tools (12 analysis + 12 onboarding/customization/autoresearch), 12 reference docs. Distinct from ra-qm-team (regulatory/QM submission), finance (corporate close/valuation), research/grants (NIH funding discovery), product-team (persona/journey/live experiments), marketing-skill (campaign analytics).
Claude Code5 skills - compliance-team-iso4200127.6kstars
ISO/IEC 42001:2023 AI Management System (AIMS) specialist for compliance teams: AIMS gap analyzer (Clauses 4-10 coverage scoring + remediation priority), AI risk register builder (Annex A 38 controls + risk-to-treatment map per ISO 23894), AIMS audit scheduler (Clause 9.2 internal audit cadence + 12-month plan + auditor independence checks). 4 in-depth references: ISO 42001 Clauses 4-10 walkthrough, Annex A controls A.1-A.10, AIMS implementation maturity model, cross-framework mapping (42001 ↔ EU AI Act ↔ NIST AI RMF ↔ ISO 23894). Stdlib-only. Standalone-installable; also bundled in ra-qm-skills. Built for compliance officers running internal AIMS audits, not for executive AI strategy decisions (see chief-ai-officer-advisor for those).
Claude Code1 skill - compliance-team-eu-ai-act27.6kstars
EU AI Act (Regulation (EU) 2024/1689) operational compliance specialist for compliance teams. Three deterministic tools: AI system risk classifier (Article 5 prohibited / Article 6 + Annex III high-risk / Article 50 limited-risk / minimal-risk per the binding regulation), conformity assessment planner (Article 43 Module A vs Module H + notified-body routing + Annex IV technical documentation checklist), obligation tracker (provider/deployer/importer/distributor obligations matrix per Title III Chapter 3 + GPAI obligations per Articles 51-55). 4 in-depth references: Titles I-XII Article-by-Article walkthrough, Annex III 8 high-risk categories with Article 6(2) carve-outs, GPAI obligations including systemic-risk threshold, cross-framework mapping to ISO 42001 + NIST AI RMF + GDPR. Stdlib-only. Built for compliance officers executing Article-level conformity work — not for executive AI strategy (see chief-ai-officer-advisor for that).
Claude Code1 skill - ra-qm-skills27.6kstars
14 regulatory affairs & quality management skills for HealthTech/MedTech: ISO 13485 QMS, MDR 2017/745, FDA 510(k)/PMA, GDPR/DSGVO, ISO 27001 ISMS, SOC 2, CAPA management, risk management, clinical evaluation, and more. Agent skill and plugin for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw.
Claude Code17 skills - pm-skills27.6kstars
9 project management skills: pm-skills fork-orchestrator with agentic delivery loop (deterministic 8-lane router, Jira MCP snapshot bridge to flow metrics/Monte Carlo forecasts, delegation-governance gate), senior PM, scrum master, Jira expert, Confluence expert, Atlassian admin, template scaffolder, meeting analyzer, team communications — plus bundled Atlassian Remote MCP (SSE) integration. Agent skill and plugin for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw.
Claude Code9 skills1 MCP server - weekly-review27.6kstars
Run a GTD-style weekly review that actually closes loops. Walks David Allen's three-phase ritual — GET CLEAR (collect, process inboxes to zero, empty your head), GET CURRENT (next actions, previous + upcoming calendar, waiting-for, project lists), GET CREATIVE (someday/maybe, new ideas) — backed by three deterministic stdlib scripts: an open-loop scanner that inventories unchecked checkboxes, TODO/FIXME markers, and stale files; a checklist gate that computes completion, names every missing step, and refuses a COMPLETE verdict while any GET CURRENT step is unaccounted for; and a commitment auditor that flags STALLED, NO-NEXT-ACTION, and SOMEDAY-CANDIDATE projects with a 0-100 commitment-health score. The periodic-review counterpart to capture (intake) and reflect (per-conversation reflection).
Claude Code1 skill - roast27.6kstars
Pressure-test a business idea before you build it. Convenes a 5-angle adversarial panel — The Critic (what kills this?), The Champion (the 10x upside?), The Analyst (does the logic hold?), The Investigator (what does the market say?), and The Customer (would I actually pay?) — fired in parallel as independent reviewers, then a Judge synthesizes one GO / RESHAPE / KILL verdict with explicit confidence and the cheapest 48-hour test to de-risk it. Never averages the scores: a weighted synthesizer with demand/fatal-flaw/logic veto gates produces the call, backed by deterministic stdlib tools. The opposite of Claude's default agreeableness.
Claude Code1 skill - reflect27.6kstars
Mid-conversation reflection skill that pauses execution and zooms out from detail-mode to honestly reassess direction, assumptions, and bias. Use when the user says 'reflect', 'take a step back', 'step back', 'zoom out', 'are we missing something', 'bigger picture', 'sanity check this', 'are we on track', 'are we overthinking this', 'forest for the trees', or any variation signaling intent to break out of detail-mode and reassess. Also trigger when the conversation has gone deep on implementation details without strategic check-in, or when the user shows signs of being stuck — that's often a signal the framing needs a reset, not more detail work. Intentionally low-intake: runs the 5-dimension analysis immediately when prior context is rich enough; asks one forcing clarifier only when invocation context is too thin to reassess from.
Claude Code1 skill - meetings27.6kstars
Personal meeting hygiene, end to end. Before the meeting: a cost gate that prices the meeting in real dollars (attendees x minutes x rate, optionally + the 23-minute refocus overhead per attendee) and refuses to let it exist without a decision, an agenda, and a named owner — verdicts are ASYNC / NOT-READY / MEET, never a shrug. Then a timeboxed agenda builder that rejects any topic without a desired outcome, orders decision topics first, enforces a 5-minute closing actions-recap buffer, and refuses overflowing agendas by name. After the meeting: a deterministic action-item extractor that turns raw notes into an owner + due-date checklist and flags ORPHAN (no owner) and NO-DUE items, because an action item without an owner and a date is theater. Built on the Rogelberg / HBR / Grove meeting-science canon with stdlib-only scripts.
Claude Code1 skill - handoff27.6kstars
Compact the current conversation into a handoff document for another agent to pick up. Save to a user-configured location (OS temp, home folder, or per-project .handoff/), redact secrets before write, suggest skills for the next session, and auto-load the latest handoff on the next SessionStart. First-run setup asks where to save so the project folder never gets cluttered. Use when the user says 'hand this off', 'handoff doc', 'summarize this for a new session', 'compact this conversation', 'I'm ending this session', or any variation signaling intent to pass work to a fresh agent.
Claude Code1 skill - fable-goal27.6kstars
Convert a rambling description of a desired outcome into one polished, autonomous /goal prompt ready to paste into a fresh session. Use when the user says '/fable-goal', 'turn this into a goal prompt', 'write me a fable prompt', or rambles about something they want made and asks for the prompt that makes it happen. Extracts deliverable/quantity/stakes/tools/destination, asks at most one question batch, verifies every named resource against the live environment, writes a 150-350 word prose prompt with the seven-part anatomy (desire + stakes, quality bar, tool inventory + discovery mandate, creative-freedom grant, medium-matched verification loop, delivery, goal line + autonomy directive), and self-checks six binary criteria before delivering. The output is a single copy-paste prompt, never the build itself.
Claude Code1 skill - email27.6kstars
Email triage system — paired skills (inbox-setup + inbox-triage) for personalized recurring email triage. inbox-setup runs once via interactive interview to build a knowledge base of 7 files (taxonomy, patterns, evaluation-framework, rate-card, blocklist, tracker, triage-log/) in ${WORKSPACE}/Email/. inbox-triage runs on recurring cadence (1-3x daily) or on demand: classifies recent emails, researches new senders, generates recommendations, drafts replies (NEVER sends), delivers a report, and updates the KB with learnings. The two skills share a strict file contract — PR #657's cross-skill consistency audit verified the 7 KB filenames align verbatim between the two megaprompts. Source specs: megaprompts/06-inbox-setup-megaprompt.md + megaprompts/07-inbox-triage-megaprompt.md.
Claude Code2 skills - deep-work27.6kstars
Plan a deep work day the Cal Newport way: time-block planning + shallow-work budgeting + focus-session tracking. Classifies every task deep vs shallow (recent-graduate heuristic, explicit override wins), audits the shallow share against a 30-50% budget with a WITHIN-BUDGET / OVER-BUDGET verdict, then builds an energy-first time-blocked day — deep blocks of at least 90 minutes in the earliest hours, a hard 4-hour deep ceiling the planner refuses to exceed, shallow work batched into at most two windows, 10-minute attention-residue buffers, a fixed lunch, and a hard stop that never silently extends. A JSON-backed focus-session logger tracks weekly deep hours vs target and consecutive-day streaks, and an end-of-day shutdown ritual closes every open loop. Deterministic stdlib scripts do the arithmetic; refusals (exit 2) name exactly what to cut or defer.
Claude Code1 skill