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dsh-xingtu-skills

Manifest valid

DeepSeek Harness (DSH) plugin: 26 production AI-agent skills (Caveman token compression, Ponytail minimalism, engineering practice) as a standard dsh-plugin bundle.

hasBundlePatch

dsh-xingtu-skills · XingTu Skills Plugin for DeepSeek Harness (DSH)

30 production-grade AI agent skills, packaged as a standard DeepSeek Harness (DSH) plugin — one command to install.

MIT npm downloads release


What is this

This plugin packages the 30 production-grade SKILL.md skills from 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

# 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-0.1.2.tgz

Skills (30)

SeriesSkills
Caveman · token compressioncaveman 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 & debtponytail ponytail-audit ponytail-debt ponytail-gain ponytail-help ponytail-review
Engineering practiceinvestigate-first lean-build migration safe-refactor surgical-patch verify-and-stop
Content & media (XingTu self-media)adversarial-review codemax-report de-ai-flavor fact-check-gate

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>/      # 30 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

License

MIT License. Skills distilled from real engineering practice.


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