29 plugins de marketplaces públicos de Claude Code. Cada uno agrupa skills, comandos de barra, agentes, hooks o MCP servers que se instalan juntos.
Mostrando 29 plugins que coinciden con estos filtros.
pm-claude-skillsmohitagw15856/pm-claude-skills3
90n-skillspolar-bear-org/claude-skills2
medsci-skillsAperivue/medsci-skills1
copilot-primitives-claudegbb-acelerators/awesome-harness-primitives1Envía el repo con .claude-plugin/marketplace.json y listaremos cada plugin.
Enviar marketplaceEnterprise / 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.
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.
Skills for students who want to learn, not outsource: study-guide synthesis with retrieval practice, literature reviews that argue, thesis outlines an examiner respects, statement COACHING (the words stay yours - integrity is structural), financial-aid appeals that offices act on, and exam plans that survive a bad Tuesday.
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.
Thirteen-skill bundle covering the 《中国工业经济》 manuscript lifecycle: workflow router, fit positioning, topic selection, literature review, institutional background, multi-period DID / event-study identification, mechanism, heterogeneity, the signature robustness arms race, tables/figures with economic-magnitude interpretation, actionable policy implications, submission preflight, and rebuttal.
academicTwelve-skill bundle covering the Conservation Biology manuscript lifecycle — from conservation-relevant topic fit through study design, analysis, data archiving, and revision — for the flagship journal of the Society for Conservation Biology.
academicTwelve-skill bundle covering the Environmental Science & Technology (ES&T) manuscript lifecycle — from environmental-significance framing through study design, QA/QC, the SI + TOC-graphic workflow, ACS submission, and revision.
academicTwelve-skill bundle covering the Global Change Biology (GCB) manuscript lifecycle — from global-change significance and study design through mechanism-first exhibits, open-data archiving, submission via ScholarOne, and revision.
academicTwelve-skill bundle covering the Journal of Educational Psychology manuscript lifecycle, including its classroom/school study designs, multilevel/SEM analysis, APA 7th format, and Transparency and Openness requirements.
academicTwelve-skill bundle covering the Journal of Personality and Social Psychology (JPSP) manuscript lifecycle: choosing the right section (Attitudes and Social Cognition, Interpersonal Relations and Group Processes, Personality Processes and Individual Differences), building multi-study packages, internal meta-analysis, JARS reporting, APA 7th style, TOP-Level-2 transparency, masked review, and the per-section editorial process.
academicTwelve-skill bundle covering the Journal of the American Academy of Religion (JAAR) manuscript lifecycle for humanities scholarship in the academic study of religion — argument, primary texts and traditions, theory and method, and reflexive scholarly prose.
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.
academicTwelve-skill bundle covering the NEJM clinical manuscript lifecycle: workflow router, clinical-significance fit, study design & trial registration, EQUATOR reporting guidelines, structured abstract, terse IMRAD writing, clinical statistics, clinical display items, clinical ethics & integrity, Vancouver/ICMJE references, submission preflight, and response to reviewers.
academicNIH grant-funding intelligence skill. RePORTER/NOSI/study-section navigation, R01/R21/K-award strategy. Research-pack convention. Path-B from megaprompt 11.
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.
Consulting & freelance skills: Consulting Proposal, Statement of Work, Client Discovery, Case Study Write-up, Rate Card, and Engagement Retro. Win, scope, deliver, and grow client work — pairs with the themed PDF export.
32 Claude skills for planning, recruiting, running, synthesising and sharing user research, from the research plan to the repository, in seven stages: plan the study with what is already known, the assumptions that carry the risk, the research plan, and a check on any "synthetic user" answer offered instead of real people; recruit and consent real participants with a recruitment brief, a screener, an informed consent form, a data handling plan, an incentive plan and a participant database; write the guides for interviews, moderated and unmoderated usability tests, benchmarks, surveys and diary studies; run and capture sessions through contextual inquiry, accessible sessions, AI feature studies and same-day debriefs; synthesise with every quote kept through thematic analysis, usability findings, survey analysis, insight statements and an evidence trace audit; turn findings into a journey map, jobs to be done statements and an opportunity solution tree; then share and reuse them in a rea
productivityClaude for Product Designers: 32 Claude skills for one piece of design work, from the request to the result, in eight stages: frame the problem with a problem framing brief, a user journey map and a HEART metrics plan; explore and decide with design principles, an options trade-off table, a rationale doc and a decision log; design with context through a design system rules file, a product context file, the user flow, the copy deck and every UI state; prototype around one question; critique against a quality bar, ten heuristics and an accessibility review; test with real users; hand off with a spec and a UX debt register; then show the impact in a review deck, a pushback brief, an impact write-up and a portfolio case study. For product designers, UX and UI designers, and designers who do their own research. Claude drafts, checks and explains; you make the design decisions, real users test the work, and nothing is presented as tested, accessible or ready to ship that was not.
productivityStudy design and validity review, literature-grounded variable operationalization, sample-size planning, data cleaning, de-identification, codebook generation, and dataset versioning.
Teach and coach rather than deliver answers: Socratic mentoring for juniors, study modes, understanding checks, critical thinking and devil's advocate review, self-learning architecture paths, and scientific paper research.
