151 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 151 plugins that match these filters.
pm-claude-skillsmohitagw15856/pm-claude-skills3
claude-code-workflowswshobson/agents1
claude-code-plugins-plusjeremylongshore/tons-of-skills-marketplace1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit 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.
14 bundled product skills with 19 Python tools: product-skills fork-orchestrator with continuous-discovery loop (deterministic 16-lane router, Torres cadence tracker, OST linter, /cs-product + /cs-grill-product + /cs-product-loop), product manager toolkit (RICE, PRDs), product strategist, UX researcher, UI design system, competitive teardown, landing page generator, SaaS scaffolder, product analytics, experiment designer, product discovery, roadmap communicator, spec-to-repo, design-qa (UI finish gate: inert controls, missing states, rendered WCAG 2.2 checks). Companion standalone plugins: agile-product-owner, code-to-prd, apple-hig-expert, research-summarizer, design-qa.
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.
Compliance OS — meta-orchestrator for multi-framework compliance programs spanning 9 frameworks (ISO 27001, ISO 13485, ISO 42001, ISO 14971, EU AI Act, MDR 745, GDPR, SOC 2, FDA QSR). Framework selector, cross-framework control mapper, audit simulator, and consolidated evidence-pool generator (stdlib Python), plus 3 cs-* compliance agents and 3 /cs-* readiness commands.
Comprehensive startup business analysis with market sizing (TAM/SAM/SOM), financial modeling, team planning, and strategic research for early-stage companies
Intelligent travel assistant with real-time weather, currency conversion, timezone info, and AI-powered itinerary planning. Your complete travel companion.
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
Thinking-mode skills that change HOW your AI reasons, not just what it does: escape the generic answer, run cognitive panels, and adversarially stress-test your own decisions. Inspired by parallel-divergent-ideation research.
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.
A four-tier memory ladder for Claude Code where promotion is earned by recurrence, not asserted by confidence. L0 raw transcripts are never injected; L1 candidate atoms are gitignored and recalled on lexical relevance per prompt; L2 project context loads each session start; L3 stable persona is always loaded. L1 to L2 needs three distinct sessions spanning two distinct calendar days (a stated claim needs two; a verified claim is the only single-observation path); L2 to L3 needs two projects and thirty days. Two gates refuse rather than guess: a claim altered by the redaction pass never promotes on evidence alone, and a contradicted claim freezes until a human resolves it. Three hooks run the loop unattended and every one fails open. Nothing reaches a committed CLAUDE.md without an explicit human adopt. Ships 5 stdlib scripts, 3 hooks, a cs-memory-curator agent, /cs-memory, a JSON schema, and a 69-check validator. Concept from TencentCloud/TencentDB-Agent-Memory (MIT); no upstream code
Ship a new language without the usual breakage. Three deterministic stdlib scripts: a translation-file checker for JSON/ARB (i18next, ICU), .properties, .strings, Android strings.xml and gettext .po that blocks on missing keys, renamed placeholders, ICU syntax errors, plural/select without other, zero branches that never match and plural categories the target locale needs, from the embedded Unicode CLDR 49 table (ru few/many, ar six forms); a hardcoded-string scanner for React, Vue, Svelte and HTML that flags text and user-facing attributes outside t(), concatenated translations, locale-less toLocaleString and '$' + amount; and a pseudo-locale generator (en-XA accented and expanded, ar-XB right-to-left) that keeps placeholders and ICU syntax intact. Ships cs-i18n-engineer agent, /cs-i18n-check and /cs-pseudo-locale commands and 3 cited references.
The Chinese exams and early-career pack: the civil service essay (申论) and structured interview (结构化面试), postgraduate entrance exam planning (考研), the thesis proposal (开题报告) and GB/T 7714 references, tech company interview drills (大厂技术面试), campus recruitment (校招 and 三方协议) and state-owned enterprise interviews (国企面试), in Chinese
Twelve FAccT-specific skills for the ACM Conference on Fairness, Accountability, and Transparency, spanning fairness/accountability/transparency as first-class contributions across CS, law, social science, humanities, and policy, grounded in the FAccT 2026 CFP and Author/Reviewer Guides, facctconference.org, the ACM Digital Library, and dblp.
academicTwelve-skill bundle covering the Journal of Economic Growth (JEG) manuscript lifecycle, calibrated to a specialist growth and dynamic-macroeconomics outlet spanning theory and empirics.
academicTwelve-skill bundle covering the Lancet manuscript lifecycle: workflow router, scope/significance fit, study design + trial registration, EQUATOR reporting guidelines, the Research in context panel, the structured abstract, main-text writing, clinical statistics, clinical figures/tables, ethics + declaration of interests + role of funding source, submission preflight, and reviewer rebuttal.
academicCross-journal author workflow toolkit (11 skills): pick the venue (journal-match runs tools/match_venues.py over a generated index of 743 venues with a resubmission-ladder graph, and is measured against a held-out gold set), cost the submission ladder in months and probability of placing, verify an unfamiliar venue against primary sources before submitting, reframe a manuscript from one venue to another, run the analysis through the StatsPAI / Stata MCP execution bridge, self-check submission readiness, score desk-reject risk against the target's own documented triggers, rehearse a calibrated referee panel, draft the point-by-point response, and assemble a Data-Editor replication package. Venue-neutral; reads each target pack's skills + official-source-map for the venue bar and live facts.
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.
Skill-author skill: create new agent skills with proper structure, progressive disclosure, and bundled resources. Derived from Matt Pocock's MIT-licensed write-a-skill with: (1) 3 stdlib Python validation tools (description validator, structure validator, review-checklist runner — all enforcing Matt's 6-item checklist), (2) 4 references citing 7-8 authoritative sources each (progressive disclosure principles, description design patterns, quality gates, companion tooling), (3) cs-skill-author persona agent + /cs-write-a-skill slash command. Matt's voice and 3-phase workflow (Gather → Draft → Review) preserved verbatim per MIT.
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).
Ultra-compressed communication mode. Cuts token usage 20-50% (75% upper bound) by dropping filler, articles, pleasantries, and hedging while keeping full technical accuracy. Derived from Matt Pocock's MIT-licensed caveman with: (1) 3 stdlib Python tools (deterministic compressor, token-savings estimator with $/Mtok cost extrapolation, lint that detects banned vocab with code-block + exception-zone whitelisting), (2) 3 references citing 7-8 sources (compression principles, when caveman backfires, companion tooling), (3) cs-caveman-mode persona agent + /cs-caveman slash command. Matt's persistence rules + auto-clarity exception preserved verbatim per MIT.
