agentleFS
david-vrbadavid-vrba/claude-power-skills/skills/catch-up/SKILL.md

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.

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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.
  • drafaelSkill

    in-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

  • MicrosoftSkill

    bro

    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

  • MicrosoftSkill

    blast-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

  • termdockSkill

    recall

    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-groveSkill

    unslop

    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

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
  1. Distinctive:

    Use targeted extraction (grep/sed for the frontmatter and the relevant section lines) — not full-file Reads.

    line 25
  2. Very specific:

    If the user passed an argument, filter to it (a project name, or stale / active).

    line 46
  3. Distinctive:

    Keep the whole thing scannable — this is a dashboard, not a report.

    line 55

“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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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.

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