Bundle
dsh-xingtu-skills
XingTu 26 production-grade AI agent skills, packaged as a DeepSeek Harness (DSH) skills plugin — token compression, code review, safe refactor, migration, evidence review & more. 26 个生产级 SKILL.md 技能,DSH 一键安装即用。
- Source
- xingtu1996
- License
- MIT
- Updated
- Updated 2 days ago
Readme
# dsh-xingtu-skills · XingTu Skills Plugin for DeepSeek Harness (DSH) > **26 production-grade AI agent skills, packaged as a standard DeepSeek Harness (DSH) plugin — one command to install.** [](LICENSE) [](https://www.npmjs.com/package/dsh-xingtu-skills) [](https://www.npmjs.com/package/dsh-xingtu-skills) [](https://github.com/xingtu1996/dsh-xingtu-skills/releases) --- ## What is this This plugin packages the **26 production-grade SKILL.md skills** from [xingtu-skills](https://github.com/xingtu1996/xingtu-skills) into a standard DeepSeek Harness plugin bundle. After install, DSH's session skill catalog loads all skills automatically and triggers them on demand (progressive disclosure) — no manual copying. Each skill follows the cross-tool de-facto standard (`name + description + when_to_use`) and is also compatible with Claude Code / CodeBuddy / Codex / Cursor / Gemini CLI. ## Install ```bash # From npm (recommended) dsh plugin add dsh-xingtu-skills # From the GitHub release tarball dsh plugin add -w https://github.com/xingtu1996/dsh-xingtu-skills/releases/latest/download/dsh-xingtu-skills-0.1.0.tgz ``` ## Skills (26) | Series | Skills | |---|---| | **Caveman · token compression** | `caveman` `caveman-commit` `caveman-compress` `caveman-discover` `caveman-evidence-review` `caveman-explore` `caveman-help` `caveman-learn` `caveman-manage` `caveman-optimize` `caveman-review` `caveman-setup` `caveman-stats` `cavecrew` | | **Ponytail · minimalism & debt** | `ponytail` `ponytail-audit` `ponytail-debt` `ponytail-gain` `ponytail-help` `ponytail-review` | | **Engineering practice** | `investigate-first` `lean-build` `migration` `safe-refactor` `surgical-patch` `verify-and-stop` | ## Structure ``` dsh-xingtu-skills/ ├── package.json # dsh.bundle.patch → ./cordis.patch.yml (standard plugin declaration) ├── cordis.patch.yml # inserts this plugin row (bundle layer) ├── lib/index.js # entry: apply() registers every SKILL.md under skills/ └── skills/<name>/ # 26 skill directories (SKILL.md + their resources) ``` - **Plugin contract**: exports `name` + `apply(ctx)` (`inject: ['skills']`); every contribution goes through `ctx.effect()` / `ctx.skills.register()` and is auto-disposed on unload. - **Zero dependencies**: no Cordis copy is bundled; `@deepseek-ai/dsh` is only an optional peerDependency. - **Validated**: passes `dsh-plugin-dev check` (static checks) + `dsh-plugin-dev verify` (clean-DSH_HOME install / boot / uninstall). ## Related - [xingtu-skills](https://github.com/xingtu1996/xingtu-skills) — source repo (cross-tool) - [xingtu-harness](https://github.com/xingtu1996/xingtu-harness) — one-command AI engineering scaffold - [xingtu-ai-engineering](https://github.com/xingtu1996/xingtu-ai-engineering) — flagship methodology repo ## License MIT License. Skills distilled from real engineering practice.
Install
dsh plugin --profile web add github:xingtu1996/dsh-xingtu-skills#366a40cf104e72b89f917662098932531333b6a8
Profile: web
With the hub plugin installed, ask your agent to install it by name — it resolves the same plan shown here.
dsh plugin --profile web add github:stvlynn/dsh.fish#path:packages/dsh-plugin-hub
install dsh-xingtu-skills from the hub