catch-up
Skill4 starsChanged 5 months agoMITView on GitHub
Cross-project command center — scans every project's saved session states and checkpoints and shows all your open work and next actions in one dashboard. For when you've lost track of what's in flight across everything.
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
- 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
- Tracebrain/mcp★ 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 repository18 other files it gives its agents.
- biz-validateSkill
- braindumpSkill
- clone-websiteSkill
- double-checkSkill
- explain-for-grandmaSkill
- heavy-buildSkill
- heavy-reviewSkill
- heavySkill
- make-promptSkill
- monitor-claudeSkill
- orientSkill
- overnightSkill
- reelSkill
- sanity-checkSkill
- save-sessionSkill
- shipSkill
- what-breaksSkill
- yt-tranSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 2 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 20 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 25
Use targeted extraction (grep/sed for the frontmatter and the relevant section lines) — not full-file Reads.
- Very specific: line 46
If the user passed an argument, filter to it (a project name, or stale / active).
- Distinctive: line 55
Keep the whole thing scannable — this is a dashboard, not a report.
“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.
Files
Catch-up
Build one dashboard of everything the user has in flight across ALL their projects, pulled from the per-project memory stores. The user juggles many projects and needs a single bird's-eye view, not a per-project dig.
Step 1 — Find all the state files
Across every project's memory folder — ~/.claude/projects/*/memory/ — collect
(Bash/Glob):
- every
session_state_*.md - every
compact_checkpoint.md
Exclude anything under an archive/ subfolder.
Step 2 — Extract only the essentials from each
Use targeted extraction (grep/sed for the frontmatter and the relevant section lines) — not full-file Reads. With dozens of files across many projects, reading each in full would blow your context. Pull only:
- Project — a readable name derived from the folder (the last meaningful
segment(s) of the decoded path, e.g.
…-projects-my-app→ "my-app"). - What — the topic/description.
- Next action — the single next step (from "Next action" / "Immediate" / "Current Status").
- Last touched — the
created:date (fall back to file mtime if absent). - Type — session-state vs active compact-checkpoint (a checkpoint means a task was mid-flight at a compact and never closed out).
Step 3 — Present the dashboard
Sort most-recently-touched first. Group into:
Active (touched ≤ 14 days) — table: Project | What | Next action | Last touched Stale (older) — same columns, condensed; these are candidates to finish or archive.
Surface any active checkpoint at the very top — that's interrupted work.
If the user passed an argument, filter to it (a project name, or stale /
active).
Step 4 — Close with a nudge
One line: how many open threads total, and your pick for the single most worth resuming next (most recent, or most important-but-going-stale). A nudge, not a lecture.
Keep the whole thing scannable — this is a dashboard, not a report. Read-only; never modify the state files.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
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.

