23 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 23 plugins that match these filters.
lawve-ailawve-ai/awesome-legal-skills3
wondelai-skillswondelai/skills2
claude-code-workflowswshobson/agents1
pm-claude-skillsmohitagw15856/pm-claude-skills1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceComprehensive startup business analysis with market sizing (TAM/SAM/SOM), financial modeling, team planning, and strategic research for early-stage companies
Product innovation and validation frameworks including Lean Startup methodology, Google Ventures Design Sprint, and Don Norman's design principles
Product strategy and innovation frameworks including Jobs to Be Done (Clayton Christensen) for customer discovery and product design, tactical negotiation skills (Chris Voss), willingness-to-pay pricing (Monetizing Innovation), and startup metrics (Lean Analytics)
Founder & startup skills: Startup Idea Validator, Fundraising FAQ, Cap Table Explainer, Founder-Market Fit, Investor Cold Email, Runway Planner. Pressure-test an idea, prep for investor Q&A, explain dilution and SAFEs, articulate why-you/why-now, write outreach that gets replies, and decide when to raise. Not legal or financial advice.
General Counsel advisory for startups: contract risk scanner (12 founder-killer patterns: auto-renew traps, uncapped indemnity, vague IP, MFN pricing, missing DPA, one-sided venue, broad non-solicit, perpetual license-back, etc.) and term sheet analyzer (0-100 founder-friendliness across 12 dimensions). 3 in-depth references: contracts playbook (7 startup contract types), IP + regulatory landscape mapping (HIPAA, GDPR, FDA, fintech, EU AI Act, SOC 2 → ISO sequencing), term sheet decoder (full glossary + founder-friendly defaults). Standalone-installable; also bundled in c-level-skills. Stdlib-only. NOT a substitute for licensed counsel.
Chief Data Officer advisory for startups: AI training data audit (origin × class × use-case matrix with GDPR Art. 6 + EU AI Act citations), data product strategy picker (warehouse vs lakehouse vs mesh + 6-layer build-vs-buy + 12-month sequencing), data asset valuator (strategic value 0-10 + M&A multiplier with carve-out penalties + 3 ranked productization paths). 4 references answering one decision each: training rights, data product strategy, customer-data-as-asset, data team org evolution. Standalone-installable; also bundled in c-level-skills. Strategic only — does not duplicate engineering data skills.
Chief AI Officer advisory for startups: model build-vs-buy calculator (API vs fine-tune vs build with 3-year TCO across 6 paths + breakeven that balances economics with practical feasibility), AI risk classifier (EU AI Act tier with 7 Article citations + US state patchwork: NYC LL 144, CO AI Act, IL HB 53, CA SB 1001, IL BIPA + industry overlays for FDA AI/ML, CFPB Circular 2023-03, NYDFS Reg 23, NAIC, ECOA, Fed SR 11-7), AI cost economics (API vs self-hosted breakeven with 2026 pricing across A100/H100, utilization reality, hidden costs). 4 in-depth references each citing 5+ authoritative sources. Standalone-installable; also bundled in c-level-skills. Strategic only — does not duplicate engineering AI/ML skills.
Girişim hukuku: kuruluş ve ortaklık yapısı, yatırım turları, term sheet, pay sahipleri sözleşmesi, kurucu vesting ve çalışan hisse opsiyonu, tasfiye tercihi ve sulandırma; yatırımcı-girişimci dengeleri.
Multi-perspective startup analysis frameworks for VC investors, job applicants, and founders.
52 skills, 2 agents for AI-driven startup creation
Drafts a customized SaaS Customer Agreement starting from the Y Combinator standard form SaaS template. Runs a structured intake covering fee structure, data handling, ML/AI rights, implementation services, SLA, and governing law, then applies 18 always-on professional defaults plus 12 conditional decisions. Outputs a clean .docx ready for review alongside a lawyer-facing memo that itemizes every change from the YC baseline and flags each item still requiring attorney input. Aimed at startup founders preparing first-draft customer subscription agreements.
Framework for demonstrating AI capabilities in legal contexts. Provides detailed personas across tenant law, business contracts, startup disputes, employment claims, and consumer protection with progressive complexity scenarios. Use when: (1) Demonstrating AI-powered legal triage or intake systems, (2) Showcasing responsible AI-assisted client interactions, (3) Training staff on appropriate AI use in legal contexts, (4) Creating realistic scenarios for legal tech presentations, (5) Developing educational materials about AI in legal services, or (6) Testing AI-powered legal information systems in controlled environments.
Expert SOC 2 compliance assistant covering all five Trust Services Criteria (Security/CC, Availability/A, Confidentiality/C, Processing Integrity/PI, Privacy/P). Use this skill whenever a user mentions SOC 2, Trust Services Criteria, SOC 2 Type 1 or Type 2, audit readiness, compliance gaps, control documentation, evidence collection, vendor risk questionnaires, or anything related to AICPA service organization controls. Covers gap analysis, policy writing, control documentation, audit evidence preparation, and vendor risk reviews for organizations at any maturity level — from first-time startups to seasoned compliance teams.
React Native performance profiling, optimization, and monitoring - JS/UI thread analysis, re-render prevention, list optimization, image performance, bundle size, startup time, memory leaks, React Compiler, New Architecture benefits
Use this skill when a solopreneur or solo startup founder needs to choose, validate, or operate a business within one person's cash, time, and support capacity, including bootstrapped services, products, and AI-assisted businesses. Translate customer evidence into a bounded offer and a sustainable operating decision. Do not use for an isolated customer interview, financial calculation, growth analysis, or calendar triage; route those to the corresponding specialist.
Operate, configure, benchmark, and troubleshoot vLLM inference servers: Docker and Kubernetes deployment, quantization-aware model configuration (tensor parallelism, KV cache), OpenAI-compatible API serving, throughput and latency benchmarking, continuous batching tuning, GPU operation, and upgrade/rollback. Use when deploying or running a vLLM server (vllm serve, vllm/vllm-openai), sizing a model and its KV cache for GPUs, selecting quantization and parallelism, serving via /v1 endpoints, measuring serving throughput or latency, tuning batching, or diagnosing GPU, OOM, or startup failures in a vLLM deployment. Do not use for model training, fine-tuning, evaluation-set design, or engine-selection methodology (that is ml-engineering), or for operating the llama.cpp stack with GGUF models (that is llama-cpp); other inference engines (TGI, Ollama, Triton) are out of scope.
Evaluate startup runway, burn, revenue, and profitability trajectory using the Default Alive / Default Dead framework. Do not use this skill for weekly growth experiments or operating growth decisions; use `yc-weekly-growth-compass` for those decisions.
Make weekly startup growth decisions using growth rate, user behavior, and experiment evidence. Do not use this skill for runway, burn, or profitability trajectory analysis; use `yc-default-alive-calculator` for financial sustainability.
Local-first apps, runtime diagnostics, startup/health gates, launchers, and log bundles.
한국 정부·공공기관 지원사업 전수조사 스킬 — K-Startup·기업마당·NIPA·KOCCA·SMTECH 크롤링 + 즉시/로드맵/변형 3분류.
