Claude Code 플러그인
공개 Claude Code 마켓플레이스의 플러그인 16개입니다. 각 플러그인은 함께 설치되는 스킬, 슬래시 명령, 에이전트, 훅 또는 MCP 서버를 묶습니다.
필터와 일치하는 16개의 플러그인을 표시합니다. 필터 초기화
Twelve IEEE VIS-specific skills for the IEEE Visualization Conference and its journal-integrated IEEE TVCG publication model, grounded in the IEEE VIS 2026 call, ieeevis.org, IEEE Xplore/TVCG, the Precision Conference System, and dblp.
academic
Cortex — persistent memory and cognitive profiling for Claude Code (renamed from the 'cortex' plugin in v4.15.0 to match the PyPI/MCP-registry identity hypermnesia-mcp) — thermodynamic memory with heat/decay, intent-aware retrieval, biological plasticity, codebase intelligence, and cognitive profiling. These mechanisms are implemented and inspectable; committed ablations do not establish a retrieval gain from all 36 mechanisms. 57 MCP tools (60 with the optional ai-architect-mcp-codebase + ai-architect-mcp-spec integrations) with enriched schemas (visualization extracted to the standalone Hypermnesia MCP Viz server). PostgreSQL + pgvector in CLI mode; automatic SQLite fallback in Cowork/sandboxed mode. v3.17.0 — autonomous per-project wiki: SessionStart auto-spawns a 6-hour consolidate cycle; a headless `claude -p` worker drains the curation-gap queue, calls codebase-intelligence MCP tools to ground each section in the real call graph, and authors missing anchor pages (architecture / s
Publication-quality plotting and schematics (Matplotlib, Seaborn, Plotly) (9 skills)
Figures, schematics, posters, slides and talks.
research
Kusto graph analysis, IRQL security hunting pipelines, and graph visualization skills for Azure Data Explorer.
诉讼可视化 skill 集：把诉讼材料与诉讼图画成克制、专业、可直接进诉讼材料的图，并交出可继续编辑的源文件。八个模块：V1 诉讼可视化重画、V2 时间轴大师、V3 法律关系图大师、V4 大事记表大师、V5 庭审对抗图大师、V6 法律图表大师、V7 法律课件大师、V8 案件看板大师。V1 到 V3 是三大主力，V3 到 V5 是庭前三大法宝。
legalKusto graph analysis, IRQL security hunting pipelines, and graph visualization skills for Azure Data Explorer.
Self-improving robotics expertise for AI agents: stack selection, simulation, visualization, data, testing, and training skills for physical-AI applications
Skills for omics pipelines, literature discovery, and data visualization.
Toolkit for comprehensive Spreadsheet reading, creation, editing, and analysis with visual quality control. Use to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing tabular data, (3) Modifying existing spreadsheets while preserving formulas, (4) Building financial models with proper formatting, (5) Data visualization with in-sheet charts, or any other spreadsheet tasks.
Comprehensive Power BI development resources including data modeling, DAX optimization, performance tuning, visualization design, security best practices, and DevOps/ALM guidance for building enterprise-grade Power BI solutions.
D3.js data visualization — selections, data joins, scales, axes, shapes, transitions, force layouts, geo projections, framework integration
Build browser-based Three.js and WebGL scenes, animations, and interactive 3D visualizations with a small vanilla JavaScript starting point. Do not use this skill for unrelated requests; route to the nearest named specialist.
Use when working with *.excalidraw or *.excalidraw.json files, user mentions diagrams/flowcharts, or requests architecture visualization.
Author ZenML pipelines with steps, artifacts, caching, Docker and resource settings, orchestrator settings, materializers, metadata, secrets, deployments, streaming events, YAML configuration, and visualizations
Create data visualizations and plots