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roadmap-generator

44 stars 10 forks
0
A

Generate phased implementation roadmaps with Epic/Story/Task breakdown, effort estimates, and validation checkpoints. Use when cto-architect needs to create actionable technical roadmaps from architecture designs.

CommandsAgentsMarketplace
#claude-ai#Story#Roadmap#Epic#cto-office#Generate phased#Task breakdown#cto

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Installation for Agentic Skill

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skilz install alirezarezvani/claude-cto-team/roadmap-generator
skilz install alirezarezvani/claude-cto-team/roadmap-generator --agent opencode
skilz install alirezarezvani/claude-cto-team/roadmap-generator --agent codex
skilz install alirezarezvani/claude-cto-team/roadmap-generator --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding assistants

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Download Agent Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/alirezarezvani/claude-cto-team
2. Copy the agent skill directory:
cp -r claude-cto-team/skills/roadmap-generator ~/.claude/skills/
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Need detailed installation help? Check our platform-specific guides:

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Agentic Skill Details

Owner
alirezarezvani (GitHub)
Repository
claude-cto-team
Stars
44
Forks
10
Type
Non-Technical
Meta-Domain
cloud infrastructure
Primary Domain
ansible
Market Score
0
Agentic Skill Grades →

Agent Skill Grade

A
Score: 93/100 Click to see breakdown

Score Breakdown

Spec Compliance
12/15
PDA Architecture
25/30
Ease of Use
23/25
Writing Style
9/10
Utility
19/20
Modifiers: +5

Areas to Improve

  • Missing TOC in long files
  • Verbose anti-patterns section
  • Lack of concrete examples

Recommendations

  • Add trigger phrases to description for discoverability
  • Add table of contents for files over 100 lines

Graded: 2026-01-24

Developer Feedback

I spent some time with your roadmap-generator and it's genuinely impressive how you've handled the token efficiency—hitting 93 points on our rubric tells me you really thought about the PDA layer. One thing I'm curious about: how do you handle the balance between giving users enough context to build meaningful roadmaps versus keeping the prompt overhead minimal?

Links:

The TL;DR

You're at 93/100, firmly in A-grade territory. This is based on Anthropic's best practices for skill design. Your strongest area is Utility (19/20)—the framework actually solves a real problem. Weakest spot is Spec Compliance (12/15), which is mostly about adding a couple more trigger phrases to help people discover it.

What's Working Well

  • Excellent utility design: You've built something genuinely useful—the Epic/Story/Task hierarchy with T-shirt sizing is the kind of framework teams actually use. The three-phase approach (detailed → epic-level → theme-level) respects how real planning works.

  • Smart modular structure: Splitting the main skill from estimation-guide.md and generator.py shows you understand PDA. The layering works—SKILL.md gives the overview, references go one level deep. That's the sweet spot.

  • Validation gates throughout: The phase checkpoints with exit criteria and estimation checklists show you've thought about feedback loops. That's not something most skills nail—you've got the run→check→fix pattern dialed in.

  • Consistent terminology: Using Epic/Story/Task consistently plus the XS-XXL sizing scale makes the whole thing feel cohesive. No confusing language switching.

The Big One: Missing Navigation for Long Files

Both SKILL.md (295 lines) and estimation-guide.md (302...

AI-Detected Topics

Extracted using NLP analysis

claude-ai Story Roadmap Epic cto-office Generate phased Task breakdown cto roadmap claude-code

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