@agents365-ai/plantuml-skill

Use when user requests diagrams, flowcharts, sequence diagrams, class diagrams, component diagrams, ER diagrams, architecture charts, or visualizations. Also use proactively when explaining systems with 3+ components, APIs, data flows, or class hierarchies. Generates .puml files and exports to PNG/SVG via Kroki API (no local install required).

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SKILL.md

365 Skills

Production-grade Claude Code skills by Agents365-ai.

English | 中文

Install

# Claude Code plugin marketplace
/plugin marketplace add Agents365-ai/365-skills

# Any agent (Claude Code, Cursor, Copilot, etc.)
npx skills add Agents365-ai/365-skills -g

Available plugins

Development & CLI design

Plugin Description
agent-native-design CLI design for AI agents — evaluate, design, and refactor CLIs to serve humans, agents, and orchestration systems simultaneously

Drawing & diagrams

Plugin Description
drawio Draw.io diagrams — PNG/SVG/PDF export with visual review loop
mermaid Mermaid diagrams — text-based, GitHub-native, auto-layout
excalidraw Excalidraw — hand-drawn whiteboard style
plantuml PlantUML — UML, C4, sequence, class diagrams
tldraw Tldraw — infinite canvas, sketch-style

Scientific research

Plugin Description
semanticscholar Semantic Scholar — academic paper search, citation graph, recommendations, BibTeX export
paper-fetch Paper PDF downloader by DOI / title — 7-source fallback (Unpaywall, S2, arXiv, PMC, bioRxiv, publisher, Sci-Hub) with batch mode and idempotent retries
scholar-deep-research End-to-end literature review pipeline — 8-phase script-driven workflow, 7 federated sources (OpenAlex, arXiv, Crossref, PubMed, DBLP, bioRxiv, Exa), cross-source dedup, dual-backend citation chasing, parallel deep-read fan-out, mandatory self-critique, cited reports across 5 archetypes
asta Ai2 Asta MCP — Semantic Scholar academic graph over MCP (no Python). Intent-to-tool routing, safe fields defaults, citation traversal, snippet evidence retrieval, and DOI/arXiv/PMID via externalIds
journal-abbrev Journal name abbreviation lookup — ISO 4 + MEDLINE, multi-source cascade (JabRef → AbbrevISO → NLM), BibTeX rewrite with --idempotency-key, atomic cache rebuild, agent-native JSON envelope with stable error codes and dry-run

Knowledge & notes

Plugin Description
obsidian-organizer Keep a large Obsidian vault tidy — file new notes into the best-fit folder and audit/reorganize existing structure, driven by a single source-of-truth map note (00_Index/Folder_Map.md) inside the vault. Link-safe by design (moves go through the obsidian CLI so wikilinks auto-repair), propose-then-confirm for bulk changes

Install plugins

/plugin install drawio

Development

Plugin skills are direct copies of the source repos (not submodules). To update a plugin:

cp -r ../drawio-skill/skills/drawio-skill/* plugins/drawio/skills/drawio-skill/
git add plugins/drawio && git commit -m "chore: sync drawio-skill"

Auto-sync (agent-native-design, semanticscholar, paper-fetch, scholar-deep-research, asta)

agent-native-design, semanticscholar-skill, paper-fetch, scholar-deep-research, and asta-skill each ship a GitHub Actions workflow (.github/workflows/sync-365-skills.yml) that automatically pushes any change under their respective skills/<name>/** here, and bumps the version field in marketplace.json. Requires each source repo to have a SYNC_365_SKILLS_TOKEN secret with Contents: write on this repo.

Source repos

Each plugin mirrors a standalone skill repo — file issues there for plugin-specific bugs:

Plugin Source
agent-native-design Agents365-ai/agent-native-design
drawio Agents365-ai/drawio-skill
mermaid Agents365-ai/mermaid-skill
excalidraw Agents365-ai/excalidraw-skill
plantuml Agents365-ai/plantuml-skill
tldraw Agents365-ai/tldraw-skill
semanticscholar Agents365-ai/semanticscholar-skill
paper-fetch Agents365-ai/paper-fetch
scholar-deep-research Agents365-ai/scholar-deep-research
asta Agents365-ai/asta-skill
journal-abbrev Agents365-ai/journal-abbrev
obsidian-organizer Agents365-ai/obsidian-organizer

Support

If this skill set is helpful, consider supporting the author:

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Author

Agents365-ai

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