597 Plugins aus öffentlichen Claude Code marketplaces. Jedes bündelt Skills, Slash-Commands, Agents, Hooks oder MCP servers, die zusammen installiert werden.
Zeige 597 Plugins, die diesen Filtern entsprechen.
claude-code-workflowswshobson/agents2
claude-code-plugins-plusjeremylongshore/tons-of-skills-marketplace2
ai-marketing-hub-claude-adsAgriciDaniel/claude-ads1
pm-skillsphuryn/pm-skills1Reiche das repo mit .claude-plugin/marketplace.json ein und wir listen jedes plugin auf.
Marketplace einreichenEval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.
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.
Convert long markdown files into world-class single-file interactive HTML — DOMAIN COMPLETE at v2.10.3 (5 skills). v2.10.3 adds md-slides, the slide-deck converter (arrow/Space/PgDn/Home/End/P navigation, presenter mode with clock + speaker notes + next-slide preview, URL-hash deep linking, @media print page-per-slide for browser-native PDF export; vanilla JS only; Prism.js opt-in via --syntax). Joins md-review (v2.10.2 code-review converter: 2-col diff, severity-tagged margin annotations, WCAG-1.4.1 badges, named reviewer footer), md-document (v2.10.1 long-form: sticky TOC, scrollspy, search, code-copy, Prism autoloader), markdown-html-orchestrator (v2.10.0 context: fork; deterministic doc-type classifier), and design-system (v2.10.0 onboarding wizard; WCAG-AA 12-token palette). 15 stdlib-only Python tools, 15 references, 4 template assets. Inspired by Thariq Shihipar's Claude Code HTML output essay.
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.
Claude-first, portable paid-media operations across 12 advertising platforms with source-grounded audits, deterministic findings and evidence coverage, lifecycle workflows, versioned JSON reports, and capability-gated account changes.
Product strategy skills for PMs: vision, strategy canvas, value propositions, lean canvas, business model canvas, SWOT, PESTLE, Ansoff Matrix, Porter's Five Forces, and monetization.
120 marketing skills and 8 commands as an AI marketing staff — one plugin, portable skills on 70+ hosts, or an 8-bot team — and as a four-layer operating system: Narrative strategy; SEO/GEO, Organic Social, Email, Paid Ads, and Influencer channels; Product Launch orchestration; and a Protocol layer with seven append-only truth registries plus non-canonical working memory. Eight typed advisory frameworks (TALE, CORE-EEAT, CITE, STAR, ECHO, SEND, ROAS, RAMP) use machine-checkable auditor artifacts and immutable standalone runtime contracts. Keyless-first and zero-dependency.
Open-source investment research terminal integration - comprehensive equity analysis, crypto tracking, macro indicators, portfolio optimization, and AI-powered financial insights using OpenBB Platform
25-skill pentest pack with engagement governance, network/code/dependency scans, OWASP Top 10 mapping, and exec-readable reporting. Heavy-hitter compliant; chain-of-custody attestable.
Godot 4.7 engine skills (GDScript, C#, scenes, signals, 2D and 3D, physics, UI, shaders, multiplayer, export, headless tests).
Proactive-agent skills for Claude Duet and its kin: design the morning brief, set interrupt rules, end-of-day and weekly reports, a send-approval gate, and a readiness audit. Every skill carries the duet block, the shared status vocabulary and the treat-source-material-as-data rule, so briefs stay short, cited and honest when no one is watching.
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
The CV studio: interview your experience into a master inventory, then a CV shaped for one company (its tracking system, country, sector, values and job ad), with sector variants, a bilingual Chinese and English CV, an honesty check and an ATS-safe Word export
Turn ideas into visuals: Flowchart, Architecture Diagram, User Journey Map, Org Chart, Sequence Diagram, Mind Map, Gantt Roadmap, ER Diagram, and Chart (bar/line/pie) — plus Announcement & Quote cards. Diagram & chart skills render live in the playground and export to PNG/SVG.
Personal & professional documents for you: Resume/CV, Cover Letter, Personal Bio, LinkedIn Profile, Portfolio Page, and One-Pager. Pair with the playground's themed PDF export for beautifully typeset output.
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
Operations & procurement skills: Process Documentation, SOP Writer, Vendor Evaluation, RFP Writer, Vendor Contract Checklist, Project Status Report, Workshop Facilitation Guide, Risk Register, RACI Matrix, Email Triage, Morning Intelligence. Document workflows, write SOPs and RFPs, review vendor contracts, build risk registers, define RACI matrices, triage your inbox, and auto-generate a morning news brief.
Portable operating method: session lifecycle agents, pre-ship code review, deploy with live verification and state doc update, and production log health check
Study companion for the Deep Learning textbook by Goodfellow, Bengio & Courville (MIT Press, 2016), free to read at deeplearningbook.org. Twenty chapter files, a glossary, patterns and a cheatsheet index the whole book, and a delta reference dates it against 2026 practice with per-claim confidence levels: double descent qualifying the U-curve, AdamW splitting weight decay from L2, transformers displacing Chapter 10's recurrence, diffusion growing out of Chapter 18's score matching. Four stdlib tools make it executable — a prerequisite-closed reading-path planner that refuses goals the book does not cover, a training diagnostic running Chapter 11's rules in priority order so a NaN is never reported as overfitting, a capacity planner that ranks 'shrink the model' last when overparameterized, and a parameter/FLOP/activation-memory calculator that refuses a stack whose shapes do not connect. A companion, not a compilation: the book is copyrighted, so nothing here reproduces its text.
Take a side project from works-on-my-machine to a repo strangers install, trust and contribute to: a benefit-led README, a no-signup demo, an importer from competitors, good first issues, a licence audit and NOTICE file, fortnightly releases, one-command self-hosting, a read-only MCP server and the 20-second demo clip
