Claude Code plugins
5 Plugins aus öffentlichen Claude Code marketplaces. Jedes bündelt Skills, Slash-Commands, Agents, Hooks oder MCP servers, die zusammen installiert werden.
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Compact the current conversation into a handoff document for another agent to pick up. Configurable save location, redaction enforcement, SessionStart auto-load + SessionEnd reminder, self-check fidelity script, --refresh flag, mtime-guarded cleanup. Inspired by Matt Pocock's handoff (MIT).
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
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.
Skills for building AI features: routing, classification, search, database Q&A, summarization, parsing, tool use, content generation, translation, recommendations, redaction, record matching, data cleaning, anomaly detection, notifications, image understanding, text rewriting, chatbots, agents, scoring, moderation, API serving, and skill discovery
Schema modification skills for Estuary collections and materializations: projections, field selection, custom column types, redaction, null defaults, and defining fields