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cost-estimator

0.0
B

Infrastructure and development cost estimation for technical projects. Use when planning budgets, evaluating build vs buy decisions, or projecting TCO for architecture choices.

Commands Agents Marketplace
#claude-ai#ownership TCO#cto-office#buy decisions#Cost Model#evaluating build#cto#roadmap
Also in: ci cd

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Installation for Agentic Skill

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skilz install alirezarezvani/claude-cto-team/cost-estimator
skilz install alirezarezvani/claude-cto-team/cost-estimator --agent opencode
skilz install alirezarezvani/claude-cto-team/cost-estimator --agent codex
skilz install alirezarezvani/claude-cto-team/cost-estimator --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/cost-estimator ~/.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

B
Score: 81/100 Click to see breakdown

Score Breakdown

Spec Compliance
12/15
PDA Architecture
18/30
Ease of Use
20/25
Writing Style
9/10
Utility
17/20
Modifiers: +5

Areas to Improve

  • References section mentions cloud-pricing.md and build-vs-buy.md but files don't exist in skill directory.
  • File is 438 lines but lacks a table of contents for navigation; violates >100 line TOC requirement.
  • Skill provides data and templates but no numbered procedural steps for executing cost estimation workflow.

Recommendations

  • Address 1 high-severity issues first
  • Add trigger phrases to description for discoverability
  • Add table of contents for files over 100 lines

Graded: 1/24/2026

Developer Feedback

I was curious how you'd approach cost estimation for LLM applications—there's a lot of variables to juggle. Your skill handles the complexity pretty cleanly, though the Progressive Disclosure could be tightened up to save tokens in the common path.

Links:

The TL;DR

You're at 81/100, solid B territory. This is based on Anthropic's skill best practices. Your strongest area is Writing Style (9/10)—clean, objective, no marketing fluff. The weakest link is Progressive Disclosure Architecture (18/30)—you've got good content, but it's all crammed into one 438-line file without the supporting structure that saves tokens and improves navigation.

What's Working Well

  • Metadata is locked in — Your description nails the trigger phrases (planning budgets, build vs buy, TCO analysis), so users will find this when they need it
  • Practical templates — The Project Budget Template and Quick Estimate sections give people a real starting point, not just theory
  • Solid pricing foundations — Including concrete AWS/GCP pricing tables makes this immediately useful for actual estimation work
  • Consistency — TCO, infrastructure costs, and development cost frameworks stay consistent throughout; no terminology confusion

The Big One: Missing Reference Files

Your references section mentions cloud-pricing.md and build-vs-buy.md (line 436-437), but these files don't exist. This is a -5 point hit because it breaks the Progressive Disclosure chain—you're promising layered detail that never materializes.

Fix: Either create those two files and move your detailed pricing tables (currently 77 lines, lines 44-121) into cloud-pricing.md, or strip the references section. If you go the file route, keep a summary table in SKILL.md and link deeper: "See Cloud Pricing Reference for complete EC2, GPU, and database pricing tables." This cuts token bloat for the common path while keeping detail available.

Impact: +5 points

Other Things Worth Fixing

  1. Add a Table of Contents — At 438 lines, you need a TOC after the frontmatter (this is a >100 line requirement). Users shouldn't have to scroll to find "Infrastructure Cost Reference" or "Development Cost Estimation." Impact: +2 points

  2. No procedural steps — You provide templates and data, but no numbered workflow. Add a "Cost Estimation Workflow" section: 1) Define scope, 2) Identify cost categories, 3) Calculate infrastructure costs from tables, 4) Apply development framework, 5) Validate against benchmarks. Users shouldn't have to infer the sequence. Impact: +3 points

  3. Missing validation loops — Your Build vs Buy framework compares options, but there's no "how do I know this estimate is reasonable?" section. Add sanity checks: infrastructure should be 15-25% of total TCO, team costs include 30% overhead, compare against your own benchmarks. Impact: +1 point

Quick Wins

  • Create references/cloud-pricing.md and move detailed tables (biggest token win)
  • Add TOC right after frontmatter
  • Insert numbered workflow steps before templates
  • Add 3-4 validation checks to catch bad estimates
  • Keep the writing and templates—those are solid

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

claude-ai ownership TCO cto-office buy decisions Cost Model evaluating build cto roadmap cost costs claude-code ai-workflow-automation ai-workflow Monthly Cost claude-subagents ai-agents cost estimation development cost total cost

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