27 plugins de marketplaces públicos de Claude Code. Cada uno agrupa skills, comandos de barra, agentes, hooks o MCP servers que se instalan juntos.
Mostrando 27 plugins que coinciden con estos filtros.
90n-skillspolar-bear-org/claude-skills3
task-pipelinessheleg/task-pipeline1
medsci-skillsAperivue/medsci-skills1
atklamngockhuong/aiteamkit1Envía el repo con .claude-plugin/marketplace.json y listaremos cada plugin.
Enviar marketplace33 C-level advisory skills (install the separate companion c-level-agents plugin for the persona layer): virtual board of directors (CEO, CTO, COO, CPO, CMO, CFO, CRO, CISO, CHRO) plus General Counsel, CDO, CAIO, CCO, and VP of Engineering (DORA delivery throughput analyzer, engineering hiring funnel calculator with conversion + pipeline gap, eng team structure designer with squad/tribe + manager-trigger), executive mentor, founder coach, orchestration (Chief of Staff, board meetings, decision logger), strategic capabilities (board deck builder, scenario war room, competitive intel, M&A playbook), culture frameworks. The 13 cs-* persona agents + 21 /c-level-agents:* slash commands (founder-mode router, office-hours intake, multi-role boardroom, strategic sprint pipeline, cross-model consensus, cooldown freeze) ship in the companion c-level-agents plugin.
Workflow-builder skill: design and write deterministic multi-agent workflow scripts (.js files in .claude/workflows/) for Claude Code's Workflow tool (CLAUDE_CODE_WORKFLOWS=1, /workflows). Every session opens with an intake question set; when the user is vague, a stdlib recommendation engine infers and proposes a topology with rationale instead of stalling. Ships 3 stdlib Python tools (intake recommendation engine, .js validator enforcing pure-literal-meta / no-non-determinism / guarded-loop / parallel-thunk rules, topology scaffolder), 3 references citing 7-8 authoritative sources each (API surface, orchestration patterns, decision + intake guide), templates + a runnable example, cs-workflow-architect persona agent + /cs-workflow-build slash command. Use when building, scaffolding, or running a custom Claude Code workflow or orchestrating sub-agents (fan-out, pipeline, loop, judge-panel).
Brain-dump-to-action workspace skill. Routes vague captures into discoverable actions via classify→cluster→connect→clarify intake. Path-B from megaprompt 05.
12 Claude Skills for making the invisible ops of a design team explicit and runnable: mapping how the team works today, then writing the critique ritual, the handoff standard, design-system governance, file conventions, request intake, the capacity plan, a new designer's onboarding, and the handbook that holds them all.
productivity31 skills for recruiting from the intake meeting to the signed offer, in-house and on the agency desk: briefing the role, keeping candidates in the loop, attracting applicants, sourcing and reaching out, screening and interviewing on the same criteria for everyone, deciding and closing, the agency desk, and running the desk.
productivityClaude for Consultants · Team in Claude: 39 Claude skills for winning and shaping client work when the client has AI too, from their brief to the signed scope, as eight desks in order: Intake reads the client's brief, qualifies the opportunity and records the bid or no-bid decision; Discovery prepares the call, keeps the notes and sends the recap email; Problem writes the problem statement, the issue tree and the hypothesis test plan; Strategy builds options and the recommendation memo; Pricing shapes good-better-best options, fees and a MoSCoW scope; Proposal writes the consulting proposal, the AI use statement and the statement of work; the Client room prepares the walk-through deck, the AI objection answer and the negotiation plan; Follow-through covers follow-up emails, the mutual action plan and the win/loss review. For independent consultants and partners in advisory practices. Claude structures, drafts and checks; it never invents a reference, a result, a number or a client quot
productivityRuns a substantial task through a mandatory built-in intake grill, then 10 gated stages (docs, brainstorm+decompose, spec, plan, subagent build, tests, lint/deploy, post-deploy, docs/wiki, acceptance). Every stage's doctrine is built into the skill — no companion plugin required — with typed auto/judgment/manual gates, a frozen requirement spine that closes with evidence, a work board and a verification ledger that outlive a run, an exposure line naming what shipped unconfirmed, a progress rail computed from the project's own config, a proportional short path for small changes, a loop guard whose ceilings stop and record a blocker, and stage-3 tracks for what a product does, how it sounds and how it looks. Two modes need no task: `checkup` (what is unverified) and `setup` (audit existing docs); a third, `waves`, takes the whole board and closes it in waves that each finish in one pass. Retro insights can publish upstream as issues, opt-in and redacted.
developmentResearch orchestration, project intake and management, research-gap and meta-analysis topic discovery, and author-strategy analysis.
AI Team Kit - 25 skills covering the software delivery lifecycle of a company project team: choosing the next skill from the project's state, carrying several pieces of work through the lifecycle at once, project profile setup, per-team skill overrides, requirement intake, catching up on work in flight, estimation, technical design, reference specs for API, schema and feature, task breakdown, conventions, implementation planning, implementation, bug fixing, runtime verification, code review, QA, test case execution on a deployed environment, security review, version control, release, incident response, retrospective, onboarding, and handover
Conduct AI governance, legal-risk, privacy, compliance, procurement, or vendor-risk reviews of internal AI use cases, AI product features, LLM workflows, or third-party AI vendors. The skill runs a structured intake process, identifies required documentation and missing evidence, maps the use case to AI governance frameworks and applicable legal domains, and produces a governance review with scorecards, findings, owners, remediation actions, and follow-up questions.
An end-to-end method for drafting and finalising a complex, multi-pillar regulated fintech agreement — from intake to signature. Authored from a senior fintech lawyer's manual: a licensed payment-services provider engaging a counterparty across agent cash-in/cash-out, QR payments, wallet e-payments, and a marketplace, each with its own regulatory profile. Runs five phases and fourteen steps: regulatory mapping (activity-to-licence matrix, grey-zone classification gates), architecture (framework-plus-sub-agreement structure, ring-fenced marketplace), the regulatory–commercial balance (what flexes vs what cannot), core drafting (authority, float mechanics, hard-coded regulator caps, liability — all tracking control), execution-blocker triage, and a pre-signature check closing open blockers as conditions precedent. It refuses to invent licence-specific values or draft a representation as true without executed evidence. Use it to structure, draft, negotiate, or review any regulated payment
Contract intelligence and contract operations workflow skill for Claude and Codex. Guides the full contract lifecycle review process from intake and playbook normalization through clause review, deviation scoring, negotiation planning, approval routing, QA, and action recommendations. Reviews legal, business, operational, compliance, privacy, security, technology, and AI-related risks across contracts and legal documents. Supports NDAs, SaaS agreements, DPAs, procurement contracts, commercial agreements, contract comparisons, redlines, approval packages, clause research, and drafting. **Warning**-Comprehensive reviews can consume significant Claude/OpenAI tokens, especially for large agreements, playbooks, exhibits, schedules, and multi-document reviews.
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.
A drafting-and-review copilot for a founders' / co-founders' agreement — the terms fixing equity, vesting, IP, roles, control, deadlock, and departure between cofounders. Jurisdiction-agnostic, anchored on the Delaware C-corp default. Two modes: DRAFT (intake → equity & vesting → clauses → blocker triage → pre-signature check) and REVIEW (audit an existing agreement against an 18-clause checklist and red-flag scan). It handles the highest-dispute terms first-class: the equity split as documented reasoning (not a fake calculator), reverse vesting and the 83(b) clock, present-tense IP assignment (the Stanford v. Roche trap), leaver buyback and dead equity, and the deadlock clause most tools omit. It drafts for the venture, never one founder against another. Not legal advice.
A zero-hallucination privacy-policy generator that takes anyone — non-lawyer founder to lawyer — from a guided intake to a publishable, jurisdiction-aware privacy policy. Jurisdiction-first: it detects which laws apply from where your users are, then drafts only the required clauses — GDPR/EU + UK, US (CCPA/CPRA, ~20 state laws, COPPA, sector overlays), and global/MENA (LGPD, Quebec Law 25, India DPDP, China PIPL, UAE/DIFC, Saudi PDPL), plus app-store, cookies, and AI/EU AI Act disclosures. Its rule: state only what you confirm; never invent a statute, citation, fine, or date — every claim is source-cited and QA-gated. Not legal advice.
Claude skill that turns Claude into a Connecticut-specific divorce planner — nine operating modes from pre-flight intake to post-judgment modification, modeled on Untangle.us's feature surface and grounded in C.G.S. Title 46b, Practice Book Chapter 25, and the 2026-08-01 CCSG schedule. Covers eligibility triage (nonadversarial under § 46b-44a vs standard), financial affidavit (JD-FM-6), child support (JD-FM-220 / CCSG-1 / 1A), alimony (§ 46b-82 fourteen factors), parenting plan (with GAL/AMC escalation under JD-FM-224), settlement agreement (JD-FM-172, TCJA-aware), filing packet (marshal 12-day rule, $360 + $50 fees, JD-FM-75 waiver), and post-judgment motion practice. Hard UPL gate: refuses non-CT, domestic violence (refers CTCADV 1-888-774-2900), hidden assets, courtroom advocacy. Heppner-aware: AI prompts are not privileged. First family-law skill in the Lawvable registry.
AI co-counsel for divorce and family-law attorneys — a jurisdiction-portable scaffold spanning the full matter lifecycle. Eight operating modes mirror how a matter actually moves: intake and onboarding, financial disclosure, children and support, property division and QDRO, discovery and document review, drafting, negotiation and mediation prep, and court prep — plus post-judgment modification and enforcement. The methodology is jurisdiction-agnostic: it forces real, verifiable research for every local form, formula, or rule rather than inventing one, handling common-law, community-property, civil-law, and MENA personal-status regimes as variables. Built around one non-negotiable: privilege. It drafts, analyzes, organizes, and pressure-tests. It is not the lawyer.
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.
Matter scoping across the full pre-execution arc — organise client data into a structured brief, capture the agreed baseline, or reconstruct scope mid-flight. Use when making sense of client information before a proposal, scoping a new matter, running a kickoff, defining scope, mapping stakeholders, or inheriting a matter mid-flight.
The full cap-evolve skill library: intake, implement-and-check, evaluate, diagnose, gate, baseline, finalize, report; capability/algorithm/optimizer skills; and an autonomous orchestrate skill.
