{
  "markdown": "# 365 Skills\n\n[![GitHub stars](https://img.shields.io/github/stars/Agents365-ai/365-skills?style=flat&logo=github)](https://github.com/Agents365-ai/365-skills/stargazers)\n[![GitHub forks](https://img.shields.io/github/forks/Agents365-ai/365-skills?style=flat&logo=github)](https://github.com/Agents365-ai/365-skills/network/members)\n[![Last Commit](https://img.shields.io/github/last-commit/Agents365-ai/365-skills?logo=github)](https://github.com/Agents365-ai/365-skills/commits/main)\n\n[![SkillsMP](https://img.shields.io/badge/SkillsMP-listed-1f6feb)](https://skillsmp.com)\n[![Claude Code Plugin](https://img.shields.io/badge/Claude%20Code-plugin-8a2be2)](https://github.com/Agents365-ai/365-skills)\n[![Agent Skills](https://img.shields.io/badge/Agent%20Skills-compatible-2ea44f)](https://agentskills.io)\n\nProduction-grade skills for AI coding agents by [Agents365-ai](https://github.com/Agents365-ai). Agent-agnostic, works with Claude Code, Cursor, Copilot, OpenClaw & more.\n\nEnglish | [中文](README_CN.md)\n\n## Install\n\n```bash\n# Agent-agnostic — any agent (Claude Code, Cursor, Copilot, etc.)\nnpx skills add Agents365-ai/365-skills -g\n\n# Claude Code plugin marketplace (optional)\n/plugin marketplace add Agents365-ai/365-skills\n```\n\nInstall a single plugin (Claude Code): `/plugin install <plugin-name>`, e.g. `/plugin install drawio`.\n\n## Available plugins\n\n### Development & CLI design\n\n| Plugin | Description |\n| --- | --- |\n| `agent-native-design` | CLI design for AI agents — evaluate, design, and refactor CLIs to serve humans, agents, and orchestration systems simultaneously |\n| `pi-plugin-cc` | Drive the Pi coding agent from Claude Code — model-agnostic delegation and code review. `/pi:review` with structured findings, `/pi:adversarial-review`, `/pi:rescue`, `/pi:parallel-rescue`, racing/fallback across providers, incremental review |\n\n### Drawing & diagrams\n\n| Plugin | Description |\n| --- | --- |\n| `drawio` | Draw.io diagrams — PNG/SVG/PDF export with visual review loop |\n| `mermaid` | Mermaid diagrams — text-based, GitHub-native, auto-layout |\n| `excalidraw` | Excalidraw — hand-drawn whiteboard style |\n| `plantuml` | PlantUML — UML, C4, sequence, class diagrams |\n| `tldraw` | Tldraw — infinite canvas, sketch-style |\n\n### Scientific research\n\n| Plugin | Description |\n| --- | --- |\n| `semanticscholar` | Semantic Scholar — academic paper search, citation graph, recommendations, BibTeX export |\n| `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 |\n| `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 |\n| `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` |\n| `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 |\n| `journal-if` | Journal impact factor (JCR IF) lookup — find a journal's IF by name, compare IF across journals, and rank publication venue quality, backed by a bundled `journals_if.csv` dataset |\n| `target-prioritization` | Multi-source drug-target due-diligence — turn a ranked gene list (e.g. scRNA-seq DE output) into a per-gene dossier across UniProt, OpenTargets, and PubMed, plus a local cross-lineage DE scan, then re-rank by a configurable composite score (cross-lineage convergence + druggability + disease genetics + tractability + novelty). Disease-agnostic |\n\n### Knowledge & notes\n\n| Plugin | Description |\n|---|---|\n| `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 |\n\n### Media & creative\n\n| Plugin | Description |\n| --- | --- |\n| `ttscn` | Multi-platform Chinese TTS text-to-speech — 14 backends (Edge/Doubao/CosyVoice/Qwen/StepFun/Zhipu/Azure/Tencent/Baidu/MiniMax/Xunfei/ElevenLabs/OpenAI/Google), agent-native CLI with JSON envelope, schema introspection, voice cloning, SSML, emotion, dialects, filterable HTML comparison page |\n| `imagencn` | AI image generation via Alibaba Bailian, ByteDance Volcano Ark & Tencent Hunyuan — 23 models, Chinese text excellence, rich terminal UI, smart config |\n| `videogencn` | AI video clip generation with Chinese video models — text-to-video, image-to-video, first/last-frame and reference-to-video across Bailian (Wan/PixVerse/Kling/Vidu), Jimeng (doubao-seedance), MiniMax (Hailuo), Hunyuan |\n| `assetseeker` | Search free commercial-use creative assets — photos, illustrations, icons, video footage, music, sound effects, and fonts across Pexels, Unsplash, Pixabay, Iconify, Freesound, Google Fonts and more |\n| `video-podcast-maker` | Automated topic-driven video podcast creation — research → script → TTS (7 backends) → 4K Remotion render → BGM mix → Remotion-native subtitles. Multi-platform output (Bilibili / YouTube / Xiaohongshu / Douyin / WeChat Channels), horizontal long-form (16:9 4K) and vertical shorts (9:16), 15-step workflow with mandatory Studio preview |\n| `bangumi-frames` | Bilibili anime frame & character organizer — download a bangumi/UP video (or local file), extract scene-change keyframes, split scenery vs character crops, cluster by CCIP identity or pull one character via a reference folder; optional OCR+LaMa subtitle/watermark removal |\n| `yt2bb` | Repurpose YouTube videos for Bilibili — download via yt-dlp, transcribe with whisper, generate bilingual (English-Chinese) SRT subtitles, hardcode them with ffmpeg |\n\n## Development\n\nPlugin skills are direct copies of the source repos (not submodules). This repo is the central distribution point: update the source skill repo first, then copy the update here and bump the plugin's `version` in `.claude-plugin/marketplace.json`:\n\n```bash\ncp -r ../drawio-skill/skills/drawio-skill/* plugins/drawio/skills/drawio-skill/\n# bump \"version\" for the plugin in .claude-plugin/marketplace.json\ngit add plugins/drawio && git commit -m \"chore: sync drawio-skill\"\n```\n\nMost source repos are now private; for those plugins this marketplace is the only distribution channel.\n\n## Support\n\nIf this skill set is helpful, consider supporting the author:\n\n<table>\n  <tr>\n    <td align=\"center\">\n      <img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/wechat-pay.png\" width=\"180\" alt=\"WeChat Pay\">\n      <br>\n      <b>WeChat Pay</b>\n    </td>\n    <td align=\"center\">\n      <img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/alipay.png\" width=\"180\" alt=\"Alipay\">\n      <br>\n      <b>Alipay</b>\n    </td>\n    <td align=\"center\">\n      <img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/buymeacoffee.png\" width=\"180\" alt=\"Buy Me a Coffee\">\n      <br>\n      <b>Buy Me a Coffee</b>\n    </td>\n    <td align=\"center\">\n      <img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/awarding/award.gif\" width=\"180\" alt=\"Tip\">\n      <br>\n      <b>Tip</b>\n    </td>\n  </tr>\n</table>\n\n## Author\n\n**Agents365-ai**\n\n- Bilibili: <https://space.bilibili.com/441831884>\n- GitHub: <https://github.com/Agents365-ai>\n",
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}