52 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 52 plugins that match these filters.
bjorn-dev-skillsBjornMelin/dev-skills2
pm-skillsphuryn/pm-skills1
claude-code-skillsalirezarezvani/claude-skills1
remotion-superpowersDojoCodingLabs/remotion-superpowers1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceGo-to-market skills for PMs: GTM strategy, growth loops, GTM motions, beachhead segments, and ideal customer profiles.
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
Career & growth skills for advocating for yourself: Brag Doc, Self-Review, Promotion Packet, 1:1 Prep, Career Ladder Map, and Salary Negotiation (with a total-comp comparison script).
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
E-commerce & retail skills that sell: Product Description, Marketplace Listing Optimizer, Return & Refund Policy, Promotion Plan, Review Response, and Category Page Brief. Listings that rank and convert, promos with the margin math, and reviews handled well.
Full video production studio for Remotion. AI voiceovers (ElevenLabs), music (Eleven Music), sound effects, stock footage (Pexels), AI image/video generation (KIE, Replicate), TikTok-style captions, 3D content, transitions, video analysis & review (TwelveLabs) — all wired into Remotion compositions. 13 slash commands, 3 agents, 5 MCP servers.
The design taste pack: a five-stage UI pipeline (direction, system, motion, critique, verification) that stops generic AI-looking interfaces, plus pointers to five specialist design skills with install commands and author credit
Discovery & research skills: Discovery Interview Guide, Job Story Mapper, User Interview Synthesis, Assumption Mapper, Customer Journey Map. Structure user research from screener to synthesis — including end-to-end journey mapping with touchpoints, emotions, and prioritised opportunities.
Hardware and device integration: Bluetooth, NFC, motion sensors, Apple Pencil, AR/RealityKit, accessory setup, camera docks, research sensors
developmentQA skills and agents: test-plan generation, manual test execution with recon and independent evidence review, a curated knowledge bank, bug filing, and promotion of strong scenarios to regression tests.
testingSelf-contained web motion skills with TypeGPU, Motion React, CSS, WAAPI, Tailwind, Lottie, Three.js/R3F, and Rive references.
Assesses which of the Art. 50(1)-(5) transparency obligations of the EU AI Act apply to a given AI system's provider or deployer, grounded in the final Code of Practice on Transparency of AI-Generated Content (June 2026) and the Commission's draft Art. 50 Guidelines. Covers AI-chatbot disclosure, deepfake and synthetic-content marking/watermarking, emotion-recognition and biometric-categorisation notices, the machine-readable marking duty, the obviousness exceptions, and the implementation timeline. Outputs a formal mini-report plus a per-obligation compliance checklist with gap flags. For breadth-first tier triage use the EU AI Act System Classifier; for raw Art. 50 text and Q&A use the EU AI Act Knowledge Base; for the full role x tier matrix use the EU AI Act Obligations Mapper.
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.
Tribunal-prep skill modeled on Neal Katyal's Nov 2025 SCOTUS tariffs argument and his AI sparring partner "Harvey." Five phases: (1) profile each decision-maker from prior opinions, questions, concurrences, and dissents — surface their doctrinal commitments and institutional concerns; (2) predict the bench — 3–7 likely questions per judge with the worry behind each, verbatim phrasing where confidence is high; (3) map escape routes — the narrowest holding each skeptical judge could sign without abandoning prior commitments; (4) spar adversarially — relentless follow-ups, calls out parroted lines, tracks which questions broke the lawyer; (5) hand the lawyer back to themselves with a < 150-word index card for the podium. The model is the sparring partner. The lawyer still wins the case. Use for oral argument, motion hearings, depositions, arbitrations, or stress-testing a brief before filing.
Adversarial premortem for England & Wales civil litigation - builds the strongest version of a case, then attacks it from four angles to find where it loses before opposing counsel does. Runs an adversarial premortem on a UK litigation matter. Builds the strongest version of the case, then attacks it from four angles — procedural, substantive, evidentiary, strategic — to find where it actually loses. Returns a ranked stress-test brief: failure scenarios, evidence inconsistencies, blind spots, mitigations, and one brutal one-sentence verdict. Use before issue, before settlement negotiations, before a litigation-funder pitch, or before deciding whether to take a case.
Produces an adversarial attack on a legal argument that survives reply. Runs the opposing-counsel discipline twice: an unrestrained first pass, then the same instrument turned on that pass to cut every point that collapses under challenge - attacks on facts your own side has conceded, objections belonging to the wrong forum, speculation about documents and motives, gotchas with innocent explanations, overclaims, self-refuting assertions, and padding. The deliverable is one standalone attack containing only what can be defended, capped at five heads, not a discussion of the discarded draft. Use to attack, stress-test, red-team or rebut a submission, brief, motion, witness statement, letter or piece of structured legal reasoning when the output must be something you could stand up and say. Also use when an earlier adversarial review came back overlong, scattershot or padded with points you do not trust. Derived from Opposing Counsel Review by Larissa Meredith-Flister (Apache-2.0). Formal
Go-to-market skills for PMMs: beachhead segments, launch tiering and GTM strategy briefs, GTM motions and multi-skill workflow orchestration.
Cross-stack motion & design-system direction: an orchestration router, a motion-quality audit skill, cinematic R3F look-dev, seven specialist motion subagents (including a runtime-proof verifier), and a director output style.
Marketing, ads & creative skills: generate ad creatives, segment target audiences, simulate reactions with synthetic personas, build landing pages that convert, reverse-engineer brand guidelines and voice, validate ad-platform safe zones, create art-directed Remotion animations, and avoid Remotion render pitfalls.
marketingThe art of illusion: cast motion and paint visual signatures into Web, Android (Compose), Apple (SwiftUI). Anti-AI-slop creative coding.
