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tech-stack-recommender

0.0
C

Recommend technology stacks based on project requirements, team expertise, and constraints. Use when selecting frameworks, languages, databases, and infrastructure for new projects.

Commands Agents Marketplace
#Python#Excellent#claude-ai#Node.js#cto-office#Good#cto#roadmap

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Installation for Agentic Skill

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skilz install alirezarezvani/claude-cto-team/tech-stack-recommender
skilz install alirezarezvani/claude-cto-team/tech-stack-recommender --agent opencode
skilz install alirezarezvani/claude-cto-team/tech-stack-recommender --agent codex
skilz install alirezarezvani/claude-cto-team/tech-stack-recommender --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding agents

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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/tech-stack-recommender ~/.claude/skills/

Need detailed installation help? Check our platform-specific guides:

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Agentic Skill Details

Type
Technical
Meta-Domain
cloud infrastructure
Primary Domain
terraform
Market Score
0.0

Agent Skill Grade

C
Score: 70/100 Click to see breakdown

Score Breakdown

Spec Compliance
12/15
PDA Architecture
15/30
Ease of Use
19/25
Writing Style
7/10
Utility
16/20
Modifiers: +1

Areas to Improve

  • References two files that don't exist (framework-comparison.md, migration-playbooks.md), violating layered structure principle
  • Four stack templates (120 lines) repeat similar structure; violates token economy and conciseness principles
  • Decision framework shows inputs but lacks numbered step-by-step workflow for executing a recommendation

Recommendations

  • Focus on improving Pda (currently 15/30)
  • Address 2 high-severity issues first
  • Add trigger phrases to description for discoverability

Graded: 1/24/2026

Developer Feedback

I've been poking around tech stack selection problems lately, and I see you're tackling the decision-making side of it—how did you land on this particular approach for guiding those choices?

Links:

The TL;DR

You're at 70/100, solidly in C territory. This is based on Anthropic's skill grading rubric across five pillars. Your strongest area is Spec Compliance (12/15)—the frontmatter and naming are clean. Weakest area is Progressive Disclosure Architecture (15/30)—you're packing 448 lines into a single file when you could be more strategic about layering content.

What's Working Well

  • Clear decision framework (lines 20-41) with ASCII diagrams showing inputs and outputs—this actually gives people a visual anchor for how to use the skill
  • Excellent stack templates (lines 187-307) that show real-world examples for SaaS, e-commerce, and enterprise scenarios—people can see themselves in these
  • Strong metadata and triggers in the frontmatter—terms like "selecting frameworks," "language selection," and "infrastructure choices" are solid discovery hooks
  • Practical evaluation checklist (lines 327-348) that gives people a way to validate their choice after the fact

The Big One: Missing Reference Files

You're listing two reference files that don't actually exist: framework-comparison.md and migration-playbooks.md (lines 444-447). This is a PDA violation because you're claiming a layered structure you haven't actually built.

Here's the fix: Either create those files and move your detailed comparison content into them, or remove the References section. If you go with creating them, you'd move those 4 stack templates (120 lines of repetition) into references/stack-templates.md and link to it. That alone would free up space and fix your token economy. Potential gain: +5 points.

Other Things Worth Fixing

  1. Template repetition is eating your token budget (lines 185-307)—four nearly identical 30-line templates with the same structure (Frontend, Backend, Database, DevOps). Keep one in-SKILL.md example, move the rest to a reference file. +3 points.

  2. No step-by-step workflow exists—you show a decision framework diagram but not numbered steps for how someone actually uses it. Add something like: "1. Gather requirements → 2. Assess team factors → 3. Match to Quick Stack table → 4. Validate trade-offs." +2 points.

  3. Mixed voice and tense throughout—line 8 says "Provides structured recommendations" (declarative), but lines 330-332 use questions ("Current skills alignment?"). Pick one voice and stick with it. +1 point.

  4. No feedback loop for validation—the checklist exists, but there's no guidance on what to do if the recommendation isn't working. Add a simple section: "If adoption is slow, assess learning curve; if performance lags, revisit database choice." +2 points.

Quick Wins

  • Create framework-comparison.md and migration-playbooks.md files with existing content
  • Move the 4 stack templates to a reference file (keep 1 example in SKILL.md)
  • Add numbered workflow steps after the decision framework
  • Standardize to imperative voice throughout
  • Add a "What to do if it's not working" section

Checkout your skill here: SkillzWave.ai | SpillWave We have an agentic skill installer that install skills in 14+ coding agent platforms. Check out this guide on how to improve your agentic skills.

AI-Detected Topics

Extracted using NLP analysis

Python Excellent claude-ai Node.js cto-office Good cto roadmap Medium claude-code ai-workflow-automation ai-workflow React Native claude-subagents ai-agents Next.js High React PostgreSQL

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