GITHUB TOPIC
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The "xingtu" topic on GitHub groups 5 open-source projects in the DeepSeek Harness (DSH) ecosystem, led by xingtu-ai-engineering with 2 GitHub stars. xingtu-ai-engineering — Flagship repo for frontline AI engineering methodology: philosophy/methods/five engineering pillars/governance/sessions/boilerplates (73 assets)｜AI engineering methodology: context, prompt, harness, graph & loop engineering templates (DSH-compatible). Every project here is indexed by DSH Universe with live GitHub data — stars, activity and install status — so you can compare and install directly.
5 projects
GitHub Topic 精确匹配
xingtu1996
Flagship repo for frontline AI engineering methodology: philosophy/methods/five engineering pillars/governance/sessions/boilerplates (73 assets)｜AI engineering methodology: context, prompt, harness, graph & loop engineering templates (DSH-compatible)
xingtu1996
DeepSeek Harness (DSH) plugin: 26 production AI-agent skills (Caveman token compression, Ponytail minimalism, engineering practice) as a standard dsh-plugin bundle. Xingtu Skills DSH plugin bundle
xingtu1996
Frontline AI engineering scaffold: one-command pull of all skills/hooks/rules/specs/MCP/CLI｜One-command AI engineering scaffold, aggregates a full agent asset stack (DSH-compatible)
xingtu1996
Spec-Driven Development (SDD) methodology: no specs, no code (DSH compatible)｜Spec-Driven Development methodology - no specs, no code
xingtu1996
AI Agent skill aggregation repo: 29 production-grade SKILL.md (cross-tool + DSH compatible)｜29 production-grade AI agent skills, cross-tool & DeepSeek Harness compatible