whats-new
Skill0 starsChanged 8 months agoNo licenceView on GitHub
Cross-reference Claude Code changelog against the current repo's skills, agents, hooks, and developer tooling, then categorize improvements by impact. Conversational and interactive — presents a visual dashboard, lets the user drill into items, select what to upgrade, and implements changes one-at-a-time or in batch. Repo-agnostic; discovers the stack dynamically. Remembers the last checkpoint so repeat runs only review new versions. Loops until the user says done. Use when user says "what's new", "changelog improvements", "stack audit", or "/whats-new".
7 other projects use a version of this.
Adopted by
Most recently taken up by
- CodeWithCJ/SparkyFitnesstheir own version, first seen Nov 1, 2026
- EtanHey/golemstheir own version, first seen Oct 28, 2026
- skyhook-io/radartheir own version, first seen Oct 25, 2026
- omnigami-ai/whats-newtheir own version, first seen Oct 20, 2026
- GopkoDev/motion-flowtheir own version, first seen Oct 20, 2026
- letsrevel/revel-backendtheir own version, first seen Oct 9, 2026
Other versions7 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 7
- CodeWithCJ/SparkyFitness★ 6.7ksame name
- skyhook-io/radar★ 4.1ksame name
- letsrevel/revel-backend★ 118same name
- GopkoDev/motion-flow★ 1same name
- masem-at/claude-skills★ 1same name
- EtanHey/golems★ 0same name
- omnigami-ai/whats-new★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
The file
Show its rules and text
We split this skill into the rules it gives an agent
32 rules. 0 are common, 16 are distinctive, and 16 are very specific to this project.
0
Common
Most of the 5 edited versions we read keep these.
16
Distinctive
This author's own choices. Worth a look.
16
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 measured: kept by at least 6 in 10 of the 5 edited versions of this file we could read. “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.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
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.

