project-cost-estimator
Skill1 starsChanged 8 months agoNo licenceView on GitHub
Analyzes a software project's source code, git history, and architecture to estimate what it actually cost to build — and compares that against what it would cost using a modern AI agent fleet (Claude Code, OpenCode, Goose, Codex, Kimi Code) managed by a single engineer. Use this skill whenever the user wants to: audit a project's build cost, estimate software value, understand the ROI of AI-assisted development, calculate gross margins from AI vs human teams, evaluate outsourcing vs in-house costs, or benchmark a codebase's investment. Trigger on phrases like "how much did this cost to build", "estimate project cost", "AI vs human development cost", "gross margin from using agents", "what's this codebase worth", "value of the code", or "audit this project's effort".
In this repositoryOne other file it gives its agents.
- agent-readinessSkill
The file
We split this skill into the rules it gives an agent
11 rules. About 0 are common, 9 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈9
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.