Plugins de Claude Code
92 plugins de marketplaces públicos de Claude Code. Cada uno agrupa skills, comandos de barra, agentes, hooks o MCP servers que se instalan juntos.
Mostrando 92 plugins que coinciden con estos filtros.
92 plugins de marketplaces públicos de Claude Code. Cada uno agrupa skills, comandos de barra, agentes, hooks o MCP servers que se instalan juntos.
Mostrando 92 plugins que coinciden con estos filtros.
Envía el repo con .claude-plugin/marketplace.json y listaremos cada plugin.
Enviar marketplace47 marketing skills across 8 pods: Content, SEO & AEO, CRO, Channels, Growth, Intelligence, Sales enablement, and X/Twitter growth. 62 Python tools, 89 reference docs.
Internal BizOps domain. v2.8.0 ships 7 skills: orchestrator + process-mapper (BPMN/bottleneck/cycle-time, Lean+TOC) + vendor-management (scorecard+SLA+3rd-party risk, NIST SP 800-161/ISO 27036) + capacity-planner (Erlang-C queueing math for ops teams, NOT engineering) + internal-comms (ADKAR+Kotter 8-step, NOT marketing) + knowledge-ops (SOP+runbook+KB hygiene with 5W2H, context: fork) + procurement-optimizer (UNSPSC spend categorization + supplier consolidation). Orchestrator uses context: fork to route inquiries via Matt Pocock grill discipline (one question per turn, recommended answer, canon-cited challenge). Every SKILL.md ships a Forcing-question library section. 18 stdlib Python tools, 24+ reference docs. Distinct from business-growth (external sales) and c-level-advisor (strategic).
Per-deal-and-packaging Commercial domain. v2.8.0 ships 8 skills: orchestrator + pricing-strategist (model picker + Van Westendorp WTP + packaging) + deal-desk (deal scorer + discount approval routing + redline) + partnerships-architect (5-tier classifier + joint GTM + revshare modeler) + channel-economics (cost-to-serve + ROI + mix optimizer) + commercial-policy (data-backed discount matrix + exception flow + linter) + rfp-responder (Shipley structured RFP/RFI/RFQ + win-theme + winrate predictor, context: fork) + commercial-forecaster (4Q-weighted bookings + cohort NRR/GRR + funnel-confidence with mandatory assumption disclosure). Hard rules: pricing outputs model+range (never a single number), deal outputs route to named human approver (never auto-approve), forecast outputs surface conversion assumption, RFP never invents claims for GAP requirements. 21 stdlib Python tools, 28+ reference docs. Distinct from business-growth (sales execution), c-level-advisor/cro-advisor (strategic), fi
Enterprise / cross-functional Research Operations domain — the managed counterpart to the academic research/ domain. v2.9.0 ships 5 skills: orchestrator (context: fork), clinical-research (protocol synopsis, endpoint selection, sample-size/power for means/proportions/survival, phase-gate feasibility), research-finance (R&D budgeting with F&A split, burn/runway, capitalize-vs-expense routing, portfolio ROI), market-research (TAM/SAM/SOM top-down and bottoms-up, survey sampling with FPC, Kotler segmentation), and product-research (goal-matched study design, method-based saturation, insight synthesis flagging single-source anecdotes). Hard rules: outputs are estimates routed to a named clinical or finance owner, market sizes show method + assumptions, product insights require recurrence across independent participants. 24 stdlib Python tools, 12 reference docs. Distinct from ra-qm-team, finance, research/grants, product-team, and marketing-skill.
A second brain for Claude Code + Obsidian inspired by Karpathy's LLM Wiki gist. Turn any LLM CLI into a disciplined wiki maintainer: incrementally ingest sources into a persistent, interlinked markdown vault; update entity/concept/source pages; flag contradictions; maintain index and append-only log. Knowledge compounds instead of being re-derived by RAG on every query. Ships 3 sub-agents (wiki-ingestor, wiki-librarian, wiki-linter), 5 slash commands (/wiki-init, /wiki-ingest, /wiki-query, /wiki-lint, /wiki-log), 8 Python tools (stdlib only: init_vault, ingest_source, update_index, append_log, wiki_search BM25, lint_wiki, graph_analyzer, export_marp), 8 reference docs, full vault templates (CLAUDE.md, AGENTS.md, cursorrules, 5 page templates), and a worked example vault. Cross-tool compatible with Claude Code, Codex CLI, Cursor, Antigravity, OpenCode, and Gemini CLI.
Fourteen guided journeys that orchestrate the whole skill library step by step — create, improve, and grow a business, website, or app, plus improve code quality, remove technical debt, design code architecture, optimize a conversion flow, and optimize an existing codebase for speed and structure. Each metaskill invokes the right skills phase by phase, asks the user questions at every decision point, and records results as living documents in the project docs/ folder
The Chinese workplace pack: weekly and monthly reports (周报), the year-end review (述职 / 年终总结), the promotion defence (晋升答辩), the 复盘 project review, PRD reviews (需求评审), job-level comparison (职级对标), official documents to GB/T 9704 (公文), a jargon translator that turns 互联网黑话 into plain words (and back, for fun), and Feishu docs, DingTalk logs and WeCom announcements, written in Chinese to the conventions managers expect
12 Claude Cowork-native skills that act on your real data through connectors and the sandbox — Gmail/Calendar inbox triage, meeting prep and follow-up sweeps; Drive/Docs/Sheets audits, restructures and decks; Notion/Slack decision logs, DB hygiene and async standups; GitHub/Linear issue triage, PR descriptions and changelogs. Each drives real tools and returns an artifact — not a framework you run by hand.
Engineering & tech skills: Code Review Checklist, Incident Postmortem, API Docs Writer, Architecture Decision Record, Debugging Log Analyser, PR Description Writer, System Design Interview, Changelog Generator, Test Strategy Doc, Runbook Writer, CI/CD Playbook, SLO & Error Budget, Developer Onboarding Doc, On-Call Runbook, Security Threat Model, Performance Budget, Database Schema Design, Database Migration Plan, Technical Debt Register, RFC Writer, Capacity Planning, Load Testing Plan, Disaster Recovery Plan, Feature Flag Guide, Dependency Audit, Service Catalog Entry, Monitoring Setup Guide, Local Dev Setup, API Versioning Strategy, Infra-as-Code Review, Engineering Weekly Report, Tech Radar, Sprint Velocity Analysis, Microservices Decomposition, Engineering Hiring Rubric, Context Mode, Claude Superpowers, Skill Security Auditor, Error Decoder, Regex Builder, Git Troubleshooter, Dependency Conflict Resolver, Code Explainer, Writing Great Skills. 44 structured skills for engineering t
Grow an Obsidian second brain with your AI agent: ingest docs, chat history and URLs into interlinked markdown, then query it with citations.
Turn a tangled working tree into a clean, reviewable commit series. Three deterministic stdlib scripts over git: a series planner that groups changes into commits in build-safe order (manifest with lockfile, pure moves, formatting, each module's change with its tests, docs, CI), holds back .env and key files, and flags mixed formatting and moves whose callers would break; a secret gate that scans staged or pushed lines for provider tokens, high-entropy secrets, sensitive files and conflict markers and blocks before the commit exists, with redacted output and reasoned waivers; and a message linter that blocks vague subjects, missing why on large changes and pending fixup commits, matching the repo's own convention. Ships pre-commit, commit-msg and pre-push hooks, cs-commit-craft agent, /cs-commit-craft and /cs-commit-check commands and 3 cited references.
Marketing & GTM skills: Go-To-Market Planner, Content Calendar, Competitor Teardown, Email Campaign, SEO Content Brief, Media Pitch, Social Media Strategy, Product Positioning Doc. Build positioning docs, messaging frameworks, content pillars, social strategies with KPIs, launch campaigns, and journalist pitches.
Universal Claude Code workflow with specialized agents, skills, hooks, and mode commands for any software project. Includes orchestrator, code-reviewer, debugger, docs-writer, security-auditor, refactorer, and test-architect agents.
Docs-anchored grilling session — interrogates a plan against the project's existing language (CONTEXT.md) and recorded decisions (docs/adr/), updating those files inline as terminology and decisions crystallise. Derived from Matt Pocock's MIT-licensed grill-with-docs with stdlib validators (CONTEXT.md linter, ADR scanner, glossary-code consistency), reference docs, cs-grill-with-docs agent, and /cs-grill-with-docs command.
Developer-relations & open-source maintainer skills: Launch Post (Show HN/Product Hunt), Docs Quickstart, Conference Talk Proposal, Changelog Writer, README Writer, and Contributor Guide. Ship and grow developer tools and OSS projects.
An umbrella collection of 23 skills + 1 hook for AI-driven development: agent self-configuration (MCP / hooks / settings / skills / plugins / cross-agent repository readiness / safe CLI installation), engineering practices (UX review and accessibility, maintainable complexity, prompt engineering, FPF problem solving, bug-fix protocol, planning gate, repository-history investigation, repository activity summary, C# refactoring), AI infrastructure (OpenRouter endpoint ranking and routing), research & docs (Semantic Scholar deep research, URL-to-Markdown, ubiquitous-language thesaurus), macOS & Windows health & cleanup, and niche utilities (clipboard, Windows QA). Plus a Claude Code Bash safety hook.
UI Kit skills for integrating CometChat across React v7, Angular v5, React Native v5, Android v6 (Kotlin/Compose), iOS v5 (Swift/UIKit, SPM) and Flutter v6. The /cometchat dispatcher detects your project — web (React on Vite/Next/CRA, or Angular) or mobile (React Native/Expo, Android, iOS, Flutter) — and routes to task-shaped skills (core, components, placement, customization, features, calls, push, migration; plus platform patterns). Headless Calls SDK skills cover calling without a UI Kit. Run `/cometchat add chat to my app` to start. Thin entry with progressive disclosure. Skills read always-current docs through the bundled CometChat Docs MCP, and a CI-gated verification pipeline backs them: every skill is checked against its pinned kit (symbol catalog + compile fence), and several families also pass a live simulator/emulator smoke (per-family status in peers.yaml).
HADS (Human-AI Document Standard) — semantic tagging convention for docs that work for both humans and AI models — plus the grounded-vault pattern for provenance-linked, drift-checked knowledge stores.
Engineering discipline for AI coding agents: question the request, verify against current docs instead of memory, plan, build test-first on the cheapest capable model, review with a second model family, prove it before saying done
Collection of agent skills: Gemini API CLI, PostgreSQL, MySQL, MSSQL, Imagen, Azure DevOps, Apple Container, Telegram, Atlassian (Jira + Confluence), Google Workspace (Gmail, Calendar, Chat, Docs, Drive, Sheets, Slides), NotebookLM, Jules, Manus, Deep Research, Outline, ElevenLabs, Google TTS, Grok Build, WhatsApp (pywhats).