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Summarize Status

Writes a short Paperclip status summary that leads with the concrete actions you need to take

Stars
110,078
Licence
MIT
Files
1 file

What it does

This skill teaches an AI agent to act as a summarizer for Paperclip, a project-management tool for coordinating AI agents. When asked, the agent reads the state of a project or workspace, including issues, comments and blockers, and writes a short Markdown summary back to that scope's summary card. The summary opens with one to three specific actions a human should take now, then a brief plain-language status of what is moving.

Great for

  • Teams running Paperclip who want a quick glance at what needs their attention
  • Managers who want a readable status card instead of scanning every issue
  • Operators who refresh project summaries regularly

Skip it if

  • Anyone wanting the agent to change issues, reassign work or edit code, since the skill is explicitly read-and-report only
  • Users outside Paperclip, since it depends on its summary-slot API and issue structure

Try asking

  • “Generate a summary for this project's header card”
  • “Refresh the workspaces overview summary and tell me what I need to unblock”
  • “Summarize the status of this execution workspace”
Step-by-step guide: how to use Summarize StatusInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 1 original files, the MIT licence and an attribution note.

    summarize-status.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip summarize-status.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip summarize-status.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Start from a scoped generation issue so the agent knows exactly which project or workspace to summarize
  • Let the agent read the previous revision so the new summary highlights what changed
  • Review the output before relying on it, since summaries are generated from issue text and may miss context

What's inside

  • SKILL.md

Redistributed unmodified from paperclipai/paperclip under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.