Co-Pilot
Updated a month ago

open-skilled-sdd

Fforztf
0.0k
forztf/open-skilled-sdd
80
Agent Score

💡 Summary

Open-skilled-sdd enhances AI coding assistants with composable skills for spec-driven development.

🎯 Target Audience

AI developers looking to improve coding assistantsProject managers seeking better documentation toolsSoftware engineers interested in spec-driven methodologiesTechnical writers aiming for structured proposal generationEducators teaching software development best practices

🤖 AI Roast:Powerful, but the setup might scare off the impatient.

Security AnalysisMedium Risk

Risk: Medium. Review: shell/CLI command execution; outbound network access (SSRF, data egress); filesystem read/write scope and path traversal; dependency pinning and supply-chain risk. Run with least privilege and audit before enabling in production.

Open Spec-Driven Development Skills (open-skilled-sdd)

中文文档

Enhancing AI coding assistants through open Spec-driven development (Spec-driven development for AI coding assistants), adopting the Claude Code Skills approach, compatible with various CLI and IDE AI coding assistants that support AGENTS.md.

License: MIT

Why?

When the code or documentation generated by an AI coding assistant is disappointing, it's unclear whether it's because:

  1. The large model's capabilities are problematic.
  2. The AI coding assistant is problematic: providing inappropriate context (including system prompts).
  3. The prompts I wrote are problematic.

The focus is on breaking through "2. The AI coding assistant is problematic", but because the built-in spec-driven development methods (context engineering, system prompts, etc.) of various CLI and IDE AI coding assistants are not public, they are basically black boxes, making it impossible to analyze or optimize them yourself. I looked for various open spec-driven development solutions, such as the 6A workflow, PRPs, Spec Kit, OpenSpec, spec-workflow-mcp, BMad-Method, etc., to see which one is the most suitable, and then proceed to optimize it myself. I roughly used these solutions and found that they each have their pros and cons. My first thought was to create a comprehensive solution, integrating the advantages of each solution and removing the parts I thought were unsuitable. I soon discovered that this path was a dead end; this idea is exactly the channel that various AI coding assistants are currently working on. I cannot do better than these vendors. Moreover, from a philosophical point of view, a comprehensive solution (limited capabilities) cannot adapt to all types of scenarios (infinite scenarios). At this time, Claude Code Skills came out. I found this approach good; wouldn't infinite skills be able to adapt to infinite scenarios? At the same time, I found skilled-spec.

My idea is to convert OpenSpec, PRPs, Spec Kit, spec-workflow-mcp, BMad-Method, 6A workflow, etc., including good spec-driven development methods that appear in the future, into individual composable Skills, which are open and can be optimized by yourself.

Skills

| Methodology | Skill | Trigger Words | Purpose | | :----------------- | :-------------------------------- | :----------------------------------------------------------------------- | :--------------------------------------------------- | | openspec | openspec-proposal-creation | "openspec proposal", "openspec plan" | Generate structured proposals with EARS requirements | | | openspec-implementation | "openspec implement", "openspec build" | Execute tasks with testing and progress tracking | | | openspec-archiving | "openspec archive" | Merge spec differences and create archives | | | openspec-context-loading | "openspec context", "openspec what specs exist", "openspec show changes" | Discover specs, search requirements, show dashboard | | openspec (Chinese) | openspec-proposal-creation-cn | "openspec提案", "openspec需求" | Generate structured proposals with EARS requirements | | | openspec-implementation-cn | "openspec开发" | Execute tasks with testing and progress tracking | | | openspec-archiving-cn | "openspec归档" | Merge spec differences and create archives | | | openspec-context-loading-cn | "openspec上下文", "openspec有哪些规范", "openspec显示变更" | Discover specs, search requirements, show dashboard | | | | | |

Each skill has detailed documentation in its SKILL.md file.

Install

Copy directly to project (Claude Code, simple):

  1. Copy all subdirectories under skills/ in this project to .claude/skills/ in your project.
  2. Commit to version control.
  3. The team automatically gets the skills after cloning.

Copy directly to global (Claude Code, simple):

  1. Copy all subdirectories under skills/ in this project to ~/.claude/skills/.

Plugin-based (Claude Code, auto-update):

  1. Install the private marketplace repository: /plugin marketplace add forztf/open-skilled-sdd in Claude Code.
  2. Install plugins: /plugin -> 1. Browse and install plugins -> open-skilled-sdd-marketplace -> Press space to select -> Press i to install in Claude Code. Or install them one by one using commands:
    /plugin install open-skilled-sdd@open-skilled-sdd-marketplace
    

Other AI CLI/IDE Installation (for AI CLI/IDE that support AGENTS.md,Codex、Gemini、Cursor):

Use npx for direct installation:

npx open-skilled-sdd # Install skills to .claude/skills/ npx open-skilled-sdd sync # Sync skills to AGENTS.md

Or install globally then use the CLI:

npm install -g open-skilled-sdd open-skilled-sdd # Install skills locally open-skilled-sdd install # Explicit install command open-skilled-sdd sync # Sync to AGENTS.md open-skilled-sdd --help # Show help

Sync Skills to AGENTS.md:

open-skilled-sdd sync # Auto-sync all skills (creates AGENTS.md if needed) open-skilled-sdd sync --yes # Same as above (deprecated flag)

Features:

  • Automatically creates AGENTS.md if it doesn't exist
  • Syncs all installed skills to AGENTS.md (non-interactive by default)
  • Updates existing skills section or creates new one

License

MIT License - see LICENSE

Acknowledgments

  • OpenSpec - Methodology & CLI Tool
  • Anthropic - Claude Code & Skills Framework
  • EARS - Requirements Syntax
  • skilled-spec - Original English version
  • OpenSpec - OpenSpec excels at modifying existing behavior (1→n).

Links

5-Dim Analysis
Clarity8/10
Novelty8/10
Utility9/10
Completeness8/10
Maintainability7/10
Pros & Cons

Pros

  • Integrates multiple methodologies into composable skills
  • Supports various AI coding assistants
  • Facilitates structured proposal generation

Cons

  • Complex installation process for some users
  • May require familiarity with multiple methodologies
  • Potential for dependency issues with updates

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Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.

Copyright belongs to the original author forztf.