21 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 21 plugins that match these filters.
claude-code-skillsalirezarezvani/claude-skills1
healthclaw-marketplaceaks129/HealthClawGuardrails1
pm-claude-skillsmohitagw15856/pm-claude-skills1
365-skillsAgents365-ai/365-skills1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceAnswer questions about past agent runs from the recording, not from memory. Three read-only stdlib scripts over the session transcripts Claude Code and Codex already write: a finder that locates the run by repo, time window, touched file or command text; a timeline that numbers every step with its exit code, lists every file changed (flagging changes the agent never mentioned) and walks back from any step with each causal edge labelled recorded or inferred by a named rule; and a claim checker that tests a summary's claims (ran, passed, edited, not-edited, read) against the run and catches tests that passed before a later edit and exit codes that belong to the last command of a pipe. Secrets are always redacted. A UserPromptSubmit hook gives the agent this session's transcript path when a prompt asks about past work. Ships cs-run-forensics agent, /cs-run-forensics and /cs-check-claims commands and 3 cited references.
FHIR AI agent guardrails with 29 MCP tools including Compiled Truth (current state + evidence timeline) and Wearables (Garmin, Oura, Polar, Suunto, Whoop, Fitbit, Strava via Open Wearables). PHI redaction on every read, step-up auth for writes, immutable audit, tenant isolation, Curatr data quality, Fasten Connect EHR ingestion. FHIR R4 US Core v9 + R6 ballot3.
The Chinese parents pack (家长): school entry planning for 幼升小 and 小升初 (timeline, documents, 学区 and 多校划片 questions, marked to confirm locally), polite home-school messages to teachers (家校沟通), an extracurricular plan checked against the 双减 rules, time and budget, and guiding rather than doing a child's homework, written in Chinese
Authoritative regulatory Q&A grounded in 70 official EU source documents, including the 2026 Commission draft guidelines on Art. 6 high-risk classification. Answers any EU AI Act question with article-level citations from the full regulation text, Commission guidelines, EDPB/EDPS opinions, codes of practice, harmonised standards, FRIA guides, and sector-specific guidance — covering penalties, timelines, GPAI obligations, high-risk and prohibited practices, and the AI Act / GDPR interplay.
Fast 15-25 minute triage for preliminary AI Act classification and compliance assessment. Produces a preliminary output with risk tier, role, top obligations, compliance timeline, and jurisdiction flags, then routes to detailed skills for full analysis.
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.
Analyzes how multiple regulations interact for a specific product, service, or business model. Identifies where obligations overlap, reinforce, complement, duplicate, or conflict; builds a priority matrix; produces an integrated compliance timeline; and estimates the total compliance burden. Use when (1) scoping a new product or service against the full regulatory landscape before launch, (2) conducting M&A due diligence on a target's multi-regulation exposure, (3) building a strategic compliance roadmap where single-regulation analyses miss the interactions, (4) advising on complex situations where regulations touch the same conduct from different angles, or (5) estimating budget and resourcing for multi-regulation compliance. Primary coverage of EU digital regulation (GDPR, Data Act, AI Act, CRA, NIS2, DORA, DMA, DSA, ePrivacy) and national implementations; the framework extends to any jurisdiction where overlapping regulatory regimes apply to the same activity.
Build dependency network and critical path from a matter plan. Produce an interactive Gantt, flag near-critical tasks, and run what-if cascade scenarios when delays occur — showing programme impact and drafting communications. Produces filtered workstream or jurisdiction views for local counsel.
Builds a litigation chronology from the disclosure bundle itself — every entry attributed to its source document, behind a CPR 31.22 implied-undertaking check, because documents disclosed in English proceedings may only be used for those proceedings. Adds a privilege screen and case-theory significance tagging, so the output is court-facing work product, not a loose timeline. Use when the user asks to build a chronology or timeline from a disclosure bundle, a matter file, or witness statements, or says 'build the chron', 'what happened when', or needs a Statement of Facts ready timeline.
EU AI Act (Regulation (EU) 2024/1689) compliance advisor — risk classification across all four tiers, all 9 prohibited practices (Art. 5, including the nudification/CSAM prohibition from Dec 2, 2026), all 8 Annex III high-risk use case areas, provider and deployer obligations (Arts. 9–17, 26), GPAI model obligations including the July 2025 Code of Practice (Arts. 51–55), conformity assessment and CE marking (Arts. 43–48), EU AI database registration, Art. 50 transparency (chatbots, synthetic media, AI-generated content), governance (AI Office, AI Board), penalties (Art. 99), confirmed phase-in timeline (Digital Omnibus adopted June 29, 2026: Annex III deferred to Dec 2, 2027; Annex I to Aug 2, 2028), and cross-framework mapping to ISO 42001, NIST AI RMF, and GDPR. Use for any EU AI regulation, AI system classification, or AI compliance question. Current as of July 2026. GPAI enforcement powers activate August 2, 2026.
EU NIS2 Directive (Directive (EU) 2022/2555) compliance advisor for essential and important entities: entity classification, Art. 21 risk management measures, Art. 23 incident reporting timelines (24h/72h/1 month), Art. 20 governance obligations, supply chain security (Art. 21(2)(d); coordinated risk assessments Art. 22), gap assessments, policy drafting, ISO 27001 alignment, and penalty exposure analysis. Also covers Commission Implementing Regulation (EU) 2024/2690, the technical/methodological sub-requirements for Art. 21(2) and the significant-incident thresholds binding on DNS/cloud/data-centre/MSP/MSSP/trust-service and other digital entities. Use for NIS2 readiness, transposition questions, ENISA technical implementation guidance, significant-incident thresholds, supervisory differences between essential and important entities, and cross-border coordination.
Expert CSRD (Corporate Sustainability Reporting Directive, EU 2022/2464) compliance advisor. Use this skill whenever a user asks about CSRD, European Sustainability Reporting Standards (ESRS), double materiality assessment, sustainability reporting obligations, ESG disclosure, CSRD scope and thresholds, value chain reporting, XBRL digital tagging, third-party assurance, CSRD gap assessments, CSRD implementation timelines, ESRS E1–E5 environmental standards, ESRS S1–S4 social standards, ESRS G1 governance, CSRD vs GRI/TCFD/SASB alignment, or any EU corporate sustainability reporting question.
Turns dense legal documents, matter notes, and brainstorming dumps into clear, editable Mermaid diagrams to make strategizing and communicating clearer and faster. Use timelines and Gantt charts to uncover chronology gaps, flowcharts and decision trees to map litigation paths and negotiation possibilities, and entity relationship or class diagrams to clarify ownership, control, and corporate structure. Upload source files (.md, .docx, .pdf, .xlsx, or .pptx), paste text, or describe the issue you’re working on. /legal-diagram guides you through a simple interactive process to setup the skill and create timelines, Gantt charts, org charts, obligation checklists, litigation flowcharts, decision trees, corporate structure diagrams, and more.
Fetch and export public X (Twitter) data with a self-contained Python CLI built on the twikit library — no developer API keys, just the user's own login cookies. Covers user profiles, a user's tweets/replies/likes, single tweets, threads, search, followers/following, home/bookmark timelines, with JSON/JSONL/CSV/SQLite output and resumable pagination. Use whenever the user wants to scrape, download, collect, archive, monitor, or analyze tweets or X/Twitter accounts, export a timeline or follower list to a file or dataset, pull X data for research, or build a tweet corpus — even if they don't name the tool. Requires the user's own X login cookies (auth_token + ct0, or username/password login).
Xquik REST API patterns for X post search, user and timeline reads, cursor pagination, media downloads, monitors, signed webhooks, and approval-gated X actions
CSS animation patterns - transitions, keyframes, scroll-driven timelines, @property, compositor-friendly properties, prefers-reduced-motion
Extract relevant frames from videos and animated images (GIF/APNG/animated WebP) so LLMs can view them as a timeline. Auto-transcribes audio (whisper.cpp default) and writes a self-contained HTML report + manifest.json + ndjson run history per extract. Wraps ffmpeg with scene-change detection and fps fallback.
Author Diagrammer JSON: mindmap, tree, flowchart, graph, ER, concept, timeline.
Social-web skills for AI agents — fetch / search / ask / timeline / research across HN, Reddit, GitHub, X, LinkedIn, YouTube, Bluesky, arXiv, Medium, Substack, RSS, generic articles. Requires the `social-fetch` and (optional) `social-ledger` binaries on PATH (see plugin README).
researchImport local media, drive the Cassette editing agent turn by turn, read the timeline, export.
productivity
