Free alternatives to caveman-learn
50 free AI Skills apps to use instead, best rated first.
Top picks
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batch-grill-me
Launchbatch-grill-me is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It interviews you relentlessly about a plan until you share an understanding. It maps decisions as a tree and asks every question it can answer now
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implement
Launchimplement is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It implements work from a spec or tickets: it fetches the ticket, works test-first at agreed seams, runs type checks and tests as it goes, reviews the re
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frontend-design
LaunchDistinctive, production-grade frontend interfaces that reject generic AI aesthetics through intentional design choices. Guides aesthetic direction selection (brutalist, maximalist, retro-futuristic, luxury, organic, etc.) before implementat
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brainstorming
Transform rough ideas into fully-formed designs through structured questioning

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Guides completion of development work by presenting clear options

test-driven-development
Use when implementing any feature or bugfix, before writing implementation code
About caveman-learn

caveman-learn
Act on a Caveman learn report
caveman-learn is an agent skill from the caveman project that acts on a Caveman learn report. The learn command measures where an agent's tokens go, and this skill is the consent-gated half that turns those findings into edits. It reviews the ranked token sinks, proposes cost-lowering fixes, applies each edit only with the user's approval, and then reports what the fixes returned. It is built on two rules: it never claims a saving it has not measured, and it never makes the agent less capable to save tokens. The report includes several kinds of finding, which the skill explains. Cache efficiency shows what a million input tokens cost after cache reuse, and it is a rate used to price the other sinks, not a volume to add. Tool output portfolio ranks the call shapes that take up most of the context. Session outcomes shows the share of tokens in sessions with no commit in their window, which the skill presents as a correlation rather than proof of waste. Subagent spend is for visibility only, and the skill does not turn it into advice to use fewer subagents. Procedure repeat findings are candidates for distilling into a skill.
- Price
- Free
- Made by
- juliusbrussee
- Category
- AI Skills
- Website
- github.com/juliusbrussee/caveman/caveman-learn
