spec-updater
Updates specification files with implementation progress - marks phases complete, checks off tasks, adds notes
Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security
Installation for Agentic Skill
View all platforms →skilz install fractary/claude-plugins/spec-updaterskilz install fractary/claude-plugins/spec-updater --agent opencodeskilz install fractary/claude-plugins/spec-updater --agent codexskilz install fractary/claude-plugins/spec-updater --agent geminiFirst time? Install Skilz: pip install skilz
Works with 22+ AI coding assistants
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/fractary/claude-pluginscp -r claude-plugins/plugins/spec/skills/spec-updater ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Repository
- claude-plugins
- Stars
- 1
- Type
- Non-Technical
- Meta-Domain
- development
- Primary Domain
- github
- Market Score
- 76
Agent Skill Grade
C Score: 76/100 Click to see breakdown
Score Breakdown
Areas to Improve
- Description needs trigger phrases
- No Layered Structure
- Missing Table of Contents
Recommendations
- Focus on improving Pda (currently 14/30)
- Address 1 high-severity issues first
- Add trigger phrases to description for discoverability
Graded: 2026-01-19
Developer Feedback
I took a look at your spec-updater skill and wanted to share some thoughts.
Links:
The TL;DR
You're at 76/100, solidly in C territory — which means you've got good fundamentals but there's meaningful room to climb. Based on Anthropic's skill best practices, your Writing Style is flawless (10/10), but Progressive Disclosure Architecture is dragging you down (14/30). The skill does real work, though — it solves an actual problem in spec-driven workflows.
What's Working Well
- Writing is crisp. Imperative voice, no fluff, high information density. You're not wasting words, which is exactly what you want in a skill.
- Solid examples. Your JSON input/output samples and spec format templates give people concrete patterns to follow. That's the kind of thing that separates "readable" from "actually useful."
- Clear workflow steps. The numbered procedures are straightforward — no ambiguity about what the skill does or how to trigger it.
- Strong utility. This solves a real need. Tracking spec progress in development workflows is genuinely useful, and your error handling and validation logic is comprehensive.
The Big One: Layered Structure Is Missing
Here's what's holding you back most: you've crammed 400+ lines into a single SKILL.md file. No references directory, no external docs, no layered architecture. This kills your Progressive Disclosure score (only 3/10 on layered structure, 0/5 on reference depth).
This matters because skills need to be scannable — developers should get the essential info immediately, then dig deeper if they need to. Right now, someone reading your skill has to scroll through everything.
Fix: Create a references/ directory structure:
- `references/workf...
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