shuguang1994/project-blueprint

Make any project AI-agent-ready in one command

Project Blueprint is a reusable AI agent skill that transforms any new project into an AI-ready codebase in one natural-language sentence. It is not a static AGENTS.md template — it is an autonomous discovery engine: the agent scans your project files, intelligently classifies dependencies across 30+ file patterns and a 70+ component knowledge base, and dynamically assembles a customized AGENTS.md, documentation skeleton, CI/CD pipeline, and testing policy suited to your actual tech stack. Just say 'Initialize this project's development standards' and the agent produces all outputs without further prompting. Motivation: AGENTS.md is a 2026 industry standard used by 60,000+ open-source repos, jointly promoted by OpenAI, Google, Anthropic, and Microsoft; 76% of developers use AI coding assistants (Stack Overflow 2025), but without AGENTS.md the AI agent has no onboarding context. Anthropic benchmarks show AGENTS.md reduces wrong-pattern rewrites by 40–60%; writing a quality AGENTS.md by hand takes half a day to a full day per project. Project Blueprint generates AGENTS.md + docs skeleton + CI pipeline + testing policy + Git conventions from one sentence — the only tool to produce all five from a single natural-language request.

Agent Capabilities ★ 13 updated 2026-09-18 ⏳ pending
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Install

dsh plugin --profile web add 'github:shuguang1994/project-blueprint'

DSH plugin install: dsh plugin --profile web add 'github:shuguang1994/project-blueprint'. Portable skill install (for Claude Code, Cursor, GitHub Copilot, Codex, Windsurf, OpenCode, and 28+ other agents): npx skills add shuguang1994/project-blueprint (global) or China mirror via npx skills add https://gitee.com/shuguang1994/project-blueprint.git. Update later: npx skills update project-blueprint. After install in DSH, use the skill by saying 'Initialize this project's development standards' in a conversation — the agent scans the project, classifies dependencies, and assembles a customized AGENTS.md, docs skeleton, CI/CD pipeline, and testing policy.

Compatibility

DeepSeek Harness web profile. Also supports Claude Code, Cursor, GitHub Copilot, Codex, Windsurf, Trae, OpenCode, and 28+ additional AI coding agents via the npx skills install path. The agent skill is designed to be invoked in the project's root directory. Output: AGENTS.md tailored to the actual tech stack (not a static template), documentation skeleton, CI/CD pipeline config, testing policy, and Git commit conventions. Source: 70+ component knowledge base, 30+ file pattern scanners, intelligent tech-stack classification.

Details

Recent updates

The current README documents: what Project Blueprint produces (AGENTS.md, docs skeleton, CI/CD pipeline, testing policy, Git conventions), install methods (DSH plugin, npx skills global, Gitee mirror, update command), the autonomous discovery engine approach (no preset templates, 30+ file pattern scanners, 70+ component knowledge base), supported agents (Claude Code, Cursor, GitHub Copilot, Codex, Windsurf, Trae, OpenCode, DeepSeek Harness, and 28+ more), the industry motivation (AGENTS.md as 2026 standard, 60k+ repos, 40–60% rewrite reduction per Anthropic benchmarks).

FAQ

Is it a static template?
No — it is an autonomous discovery engine that scans your actual project files and tech stack, then dynamically assembles all outputs from a 70+ component knowledge base; no two projects produce the same result.
What does it generate?
AGENTS.md tailored to your tech stack, a documentation skeleton, a CI/CD pipeline configuration, a testing policy, and Git commit conventions — all from one sentence.
Does it work with agents other than DSH?
Yes — the same skill works with Claude Code, Cursor, GitHub Copilot, Codex, Windsurf, Trae, OpenCode, and 28+ additional AI coding agents via the npx skills install path.

Alternatives

omdsh-dev/dsh_workflow · omdsh-dev/dsh-deep-research · titanwings/dsh-automation

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