catch-up
Skill0 starsChanged 7 months agoNo licenceView on GitHub
Use when returning from time away (OOO, vacation, long weekend), feeling behind on open threads, or needing to resurface accumulated tasks and decisions across the workspace. Keywords: catch up, I'm back, what did I miss, feeling behind, resuming work, too much open, triage.
21 other projects use a version of this.
Adopted by
Most recently taken up by
- whyashthakker/estacktheir own version, first seen Nov 8, 2026
- hype-sports/hype-assistant-plugintheir own version, first seen Nov 8, 2026
- hidenobunagai/astacktheir own version, first seen Nov 8, 2026
- requie/endostacktheir own version, first seen Nov 8, 2026
- JeffreyFerreiras/ai-skillstheir own version, first seen Nov 1, 2026
- zanellig/skillstheir own version, first seen Nov 1, 2026
Used with
Projects with it also use in-your-own-words, bro and 3 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
drafaelSkillin-your-own-words
Restate the user's goals and the problem they are trying to solve to check understanding. Manual invocation only; use when the user explicitly invokes in-your-own-words or requests this understanding check. Do not solve the task or rewrite the assistant's last answer.
Also in 3 projects that use this
MicrosoftSkillbro
Re-explain the previous assistant message in a much simpler way, for when the reply made you go 'bro what'. Use /bro to get a simpler version of the last answer in Plain Language + Chicago Manual of Style, with diagrams where they help.
Also in 3 projects that use this
MicrosoftSkillblast-radius
Assesses network dependency and shared-infrastructure exposure. Use when the user asks which services, customers, SLA policies, routes, or redundant links are affected by a network fault.
Also in 3 projects that use this
termdockSkillrecall
Retrieves cross-session memories about past decisions, lessons, and patterns. Use when user asks about prior work, past decisions, or mentions a feature. Triggers include check memory, what did we decide, how did we solve.
Also in 3 projects that use this
photon-groveSkillunslop
Detects and rewrites generic, overly polished, or AI-sounding prose while preserving meaning. Use when the user asks to "unslop", humanize, de-AI, tighten, or review whether writing sounds generated.
Also in 4 projects that use this
Other versions21 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 21
- petekp/claude-code-setup★ 48same name
- ARCASSystems/FounderOS★ 7same name
- david-vrba/claude-power-skills★ 4same name
- requie/endostack★ 4same name
- matiopala/skills★ 2same name
- chendaniely/skills★ 1same name
- hidenobunagai/astack★ 1same name
- JeffreyFerreiras/ai-skills★ 1same name
- median-labs/close-the-books★ 1same name
- TheKontextCo/kontext-claude-plugin★ 1same name
11 more not listed
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.
In this repository120 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
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- interview-feedbackSkill
- interview-guideSkill
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- marp-slideSkill
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- meeting-feedbackSkill
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- meme-factorySkill
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- metrics-frameworkSkill
- metronomeSkill
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- The first 60 shown.
The file
Show its rules and text
We split this skill into the rules it gives an agent
20 rules. 0 are common, 9 are distinctive, and 11 are very specific to this project.
0
Common
Most of the 20 edited versions we read keep these.
9
Distinctive
This author's own choices. Worth a look.
11
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 20 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
- Partly
- It didn't
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.

