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sivaprasadreddy / sdd-skills

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Agent Skills for Spec Driven Development

16
2
100% credibility
Found Apr 21, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A toolkit of instructions for AI coding assistants that guides users through turning vague feature ideas into specified, implemented, reviewed, and archived code using a structured workflow.

How It Works

1
🏠 Prepare your project once

Tell your AI coding buddy to study your project's setup and create a simple guide about its style and tools so everything matches perfectly.

2
💡 Share your feature idea

Describe the new feature you want in everyday words, and your AI asks smart questions to turn it into a clear, detailed checklist.

3
Pick your speed
🚀
Fast track

Let your AI rush through planning, building, checking, and finishing everything in one go with just one approval.

📋
Step by step

Guide your AI through planning, building, and checking one stage at a time for more control.

4
⚡ Watch the magic happen

Your AI builds the feature by writing code, running checks, fixing problems, and ensuring it all works smoothly.

5
🔍 Get a thorough checkup

Your AI reviews the new code for quality, safety issues, best practices, and if it fully matches your checklist.

🎉 Feature complete and safe

Your project now has the shiny new feature, fully tested and documented in a special folder for easy future reference.

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Star Growth

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AI-Generated Review

What is sdd-skills?

sdd-skills is a set of agent skills for Claude Code or OpenAI Codex that automate Spec Driven Development, turning vague feature ideas into reviewed, archived code via slash commands like /sdd-analyse, /sdd-plan, /sdd-implement, /sdd-review, and /sdd-archive. It enforces a workflow starting with structured specs to avoid AI's common pitfall of generating unmaintainable half-baked code from loose prompts. Install with npx skills add from its agent skills GitHub repo, and it tailors output to your project's tech stack after a one-time /sdd-init.

Why is it gaining traction?

Unlike raw agent GitHub Copilot or Claude prompts that skip planning, sdd-skills stands out with its full pipeline—including clarifying questions, step-by-step plans matching your stack like Spring Boot or JPA, layer-by-layer implementation with compile/test fixes, and 8-dimension reviews citing security risks or N+1 queries. The /sdd-yolo fast path runs everything unattended after one confirmation, stopping on major issues, which hooks devs tired of babysitting AI outputs. It's a lightweight agent skills library versus heavier MCP alternatives, with examples for real tasks like JWT auth.

Who should use this?

Solo indie hackers building SaaS features in Java/Spring Boot or Node.js, who own specs and code end-to-end. Enterprise business analysts crafting handoff specs for dev teams, or backend devs adding auth/rate limiting without derailing architecture. VSCode or IntelliJ users with Claude Code seeking agent GitHub Copilot CLI discipline for Reddit-discussed AI reliability woes.

Verdict

Worth trying for Claude agent skills SDD fans—solid docs and workflow make it immediately usable despite 16 stars and 1.0% credibility score signaling early maturity. Low adoption means unproven at scale, but pair it with your project.md context for quick wins on spec-to-ship cycles.

(198 words)

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