Generate project specification artifacts from research findings through interactive approval.
npx skills add https://github.com/tunneleven/C4Flow --skill c4flow-spec
Please help me install this Agent Skill. Skill: c4flow:spec Source: https://github.com/tunneleven/C4Flow/tree/main/skills/spec Command: npx skills add https://github.com/tunneleven/C4Flow --skill c4flow-spec
This Skill automates the generation of essential project specification documents, transforming raw research into actionable plans and designs, thereby streamlining the early stages of software development.
Use the c4flow:spec skill to generate a project proposal based on the research document found at docs/specs/new-feature/research.md.
High-intent search queries and answers about installing and using this skill.
You can generate project specifications by feeding research findings into an interactive session that produces proposal, tech-stack, spec, and design documents. The tool parses your research data to ensure each artifact is well-informed and aligned with your software development workflow.
The best way to structure technical design documents is through interactive collaboration that builds artifacts sequentially. This approach generates a proposal, selects a tech-stack, defines specifications, and outlines system design, requiring your approval at each step to ensure completeness.
Yes, you can parse existing research markdown files to create a software development proposal and tech stack. The generator leverages these research findings to inform each artifact, ensuring the proposal and technology choices align with your documented research.
Interactive project planning works by guiding you through each specification artifact iteratively, seeking feedback and approval before proceeding. This collaborative process transforms raw research into actionable plans and structured design documents for software development.
You need prior research documents to generate a detailed project spec because the tool parses these findings to inform each artifact. Without research data, the interactive generation cannot ensure the proposal, tech-stack, and design documents are well-informed.
A limitation of automated spec generation is that it requires iterative user feedback and approval for each section, meaning it cannot produce a complete technical design autonomously. The process depends on human collaboration to validate alignment and completeness.
GDSDNGenerate executable markdown specifications from requirements, complexity, and research inputs.
susantosantoTranslate approved specs into structured implementation plans with tasks and architecture.
kimen-devGenerate research documents, data models, and interface contracts from project templates.
XY-ShowingGenerate static HTML pages from markdown files using a YAML style matrix.
