Plugins Claude Code
113 plugins issus de marketplaces Claude Code publiques. Chacun regroupe des skills, des commandes slash, des agents, des hooks ou des MCP servers qui s'installent ensemble.
113 plugins correspondent à ces filtres.
113 plugins issus de marketplaces Claude Code publiques. Chacun regroupe des skills, des commandes slash, des agents, des hooks ou des MCP servers qui s'installent ensemble.
113 plugins correspondent à ces filtres.
Soumettez le dépôt avec .claude-plugin/marketplace.json et nous listerons chaque plugin.
Soumettre une marketplaceInternal 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).
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.
Local-first Agent Skills package and Claude Code plugin for source-cited Obsidian knowledge bases. Includes recoverable transactions, deterministic lint and retrieval, provenance ledgers, explicit vault adoption, offline-first capture foundations, and methodology modes.
Learning & mastery skills: build a roadmap for any skill, remember what you read and study (spaced repetition, active reading), learn by doing, break plateaus, and map your knowledge gaps.
100 cowork skills for the AI-coworker era: inbox and email ops, files and folders, spreadsheets, documents, meetings, team collaboration, research, presentations, personal work ops, and office admin — the office knowledge work an AI coworker actually does
Docker-authored knowledge skills for AI coding agents across Dockerfiles, Compose, Docker Agent, Docker Sandboxes, and safe Docker workflows.
Twelve CIKM-specific skills for the ACM International Conference on Information and Knowledge Management, grounded in the official CIKM 2026 site (35th edition, Rome), per-track CFPs, submission policies, ACM Digital Library records, and dblp.
academicCompany Architect: builds a business from scratch as an OKF (Open Knowledge Format) bundle — a tree of versionable .md files with a frontmatter type, links forming a graph, and reserved index.md/log.md, readable by humans and agents alike. Guides the founder through a 12-phase interview (foundation, strategy, market, financial, sales, marketing, product, operations, tech, people, legal, governance), one phase at a time, and generates conformant markdown concepts. 3 stdlib tools: scaffold_bundle (bundle scaffold), okf_linter (validates type/reserved files/links), index_generator (regenerates the index.md files). Standalone-installable; also bundled in c-level-skills. In English.
Knowledge base compiled from OpenAI's Spinning Up in Deep RL (MIT, Joshua Achiam) by engineering/book-to-skill. A resident core carries the RL optimization problem, the model-free taxonomy, the policy-gradient template with its five valid weights, the safe-step family (VPG to TRPO to PPO) and the overestimation family (DDPG to TD3 and SAC); 20 on-demand chapters cover key concepts and MDPs, the algorithm taxonomy and model bias, the policy gradient derivation with the log-derivative trick and EGLP lemma, Achiam's researcher essay, the key-papers topic map, the exercises including the silent DDPG broadcasting bug, the benchmark parity disclosure, one chapter per algorithm, and the logger/MPI/ExperimentGrid utilities. Ships a glossary, a patterns file with 16 techniques, a decision cheatsheet with thresholds, a cs-spinning-up-deep-rl agent and /cs-spinning-up-deep-rl. Structured study notes, not a reproduction of the source.
23 skills for founders and indie operators. Meta (skillify / toolify / loopify), decision + strategy (decide / business-brainstorm / deep-research / domain / unstuck / maker-council), knowledge (second-brain / company-brain / read-book / watch-video / radar / ingest), output (jab-hook / slide-deck), operations (pm / personal-cfo / company-cfo / paste / social-fetch / castmate). Sibling to marketingskills.
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.
147 skills marketing toan dien (78 VN + 69 Global) — tu lap ke hoach, brief chien dich, viet script TikTok, copy quang cao, slogan hai lop, hop tac KOC/affiliate, van hanh san TMDT, den phan tich hieu suat, email marketing, personal brand strategy, AI avatar production, dropshipping mastery, design master, offer design, SEO/GEO growth, B2B lead generation, AI Marketing OS, va 4 role SOP packs (Leader 58-67, Content 35-40, Designer 41-50, Performance 51-57) day du o ca hai ngon ngu + knowledge base nen tang. Ho tro 4 regions (US/EU/SEA/LATAM) + VN. Tich hop voi Claude Code, Claude Pro, ChatGPT, Gemini, Copilot, Cursor. Dung foundation skills `product-marketing-context`, `22-personal-brand-context` (VN) va `product-marketing-context-global`, `22-personal-brand-context-global` (Global) de tranh lap lai thong tin.
32 skills for running a support desk, from the hard reply to the bot handoff: hard conversations, workload and staffing, roles, metrics and coaching, escalations and incidents, learning from tickets, answers and knowledge, service design, and AI and bots, safely.
productivityThe Complete Claude Guide for L&D: 40 Claude skills for the whole L&D job, in eight stages: diagnose the need with the request triage, the performance gap and the action map; work with the experts through the interview, the task breakdown and the review plan; design the learning with objectives, an evaluation plan, a design document and a curriculum map; build and test scenarios, a storyboard, a knowledge check, the check of an AI draft and a learner walkthrough; run the room with a session plan, slides, a facilitator guide and a pilot; carry it into work with a job aid, spaced practice and a manager briefing; measure what changed with a feedback form, an ROI estimate and the one-page report; and lead L&D through the year plan and the business case. For L&D managers and specialists, instructional designers, trainers and facilitators, and L&D leaders. Claude drafts and checks, people decide: nothing a learner does in training is used to grade, rank or build a case against them.
productivityComplete GRACE methodology: semantic markup, knowledge graphs, module contracts, testing, and log-driven verification for AI-driven engineering
Unified AI-native Vibe Coding plugin: PRD generation, digging analysis, screen-spec (IA / User Flow / Wireframe HTML / Dev Handoff), team-based parallel implementation, quality-gated auto-commit, 20 design styles, frontend (React/Next.js), backend (NestJS/Prisma), mobile (React Native/Expo), AI integration (STT/LLM), DevOps (Docker/CI-CD). 11 agents, 5 commands, 8 skills, team knowledge wiki (auto-collect + recall for WIGTN repos).
Multi-agent application-security review. An offensive-security pipeline: map a codebase with Graft, hunt vulnerabilities with a per-class knowledge base, chain findings for escalation, verify real impact, and report (README/JSON/SARIF/doc/PDF).
securityCyber Threat Intelligence skills pack — threat actor profiling, IOC investigation, detection engineering, intelligence writing, and self-updating knowledge cells.
Loops (a file-based knowledge base) + a codebase harness (dev-local, e2e, crabbox cloud boxes, verify-before-ship) so agents can run, test, and ship code autonomously.
engineeringDynatrace observability skills and knowledge packages for AI coding agents.