project-doc-updater
🎯Skillfrom mingyuepop/specforge
Same repository
mingyuepop/specforge(10 items)
Installation
npx vibeindex add mingyuepop/specforge --skill project-doc-updaternpx skills add mingyuepop/specforge --skill project-doc-updater~/.claude/skills/project-doc-updater/SKILL.mdSKILL.md
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A structured development workflow with 13 skills that guides you from a vague idea to a production-ready project through systematic requirements clarification, tech stack selection, and feature-by-feature implementation.
Part of SpecForge, a structured AI-assisted development workflow with 13 skills across three layers: project-level setup, feature-level implementation, and utility tools. Designed to turn vague ideas into fully planned, buildable projects through systematic requirement clarification and technical planning.
SpecForge is a 13-skill AI development workflow that guides projects from vague ideas to production code through structured phases including requirements clarification, architecture design, task planning, and coding, with built-in guardrails and project context persistence across sessions.
A structured AI development workflow with 13 skills across three layers (project, feature, and universal) that guides users from vague ideas through requirements clarification, tech design, task planning, and coding, designed to be accessible without a programming background.
Part of SpecForge, a structured AI development workflow refined through real-world project experience, designed to help users with minimal coding background build software effectively using AI assistants.
SpecForge is an AI development workflow system with 13 skills organized in three layers: project-level setup (requirements, tech stack, directory structure), feature-level iterative development, and utility skills for bug fixes. Designed to provide structured planning so AI agents produce consistent, well-architected code even for users with minimal programming background.
SpecForge is a 13-skill structured workflow system that guides AI-assisted development from a vague idea through requirements clarification, tech stack selection, directory planning, and iterative feature implementation with built-in guardrails to keep the AI on track.
A structured AI development workflow with 13 skills across three layers that guides users from vague ideas through requirements clarification, technical design, and implementation using guardrail mechanisms and persistent project context.
Skill