/screenpipe-worklog

Reconstruct a daily or weekly worklog from observed activity and outcomes.

BOOST

mediar-ai@mediar-ai

GitHub

From plugin

screenpipe

22k32 skills

Install

$ npx -y skills add screenpipe/screenpipe --skill screenpipe-worklog --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
You can call itInvoke it directly when you want it.
Slash command/screenpipe-worklog

Context preview

The summary Claude sees to decide when to auto-load this skill.

Reconstruct a daily or weekly worklog from observed activity and outcomes.

SKILL.md

screenpipe-worklog.SKILL.md

name: screenpipe-worklog
description: "Reconstruct a daily or weekly worklog from observed activity and outcomes."

worklog

Resolve the local dates and timezone. Read screenpipe-api and start with the activity summary. Use authoritative active minutes, never frame counts, to discuss time. Verify important outcomes with narrow source queries. Separate planned work, observed work, and externally verified completion. Do not count background agent runs as human effort. Return useful outcomes, unfinished work, and a few source links. Label estimates and coverage gaps. Keep raw chats, private identifiers, and unrelated activity out of the summary.

Read it on GitHub ↗

Ships withscreenpipe

YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context

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TypeScript JavaScript Rust SQL SQLite

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REST API Linux GitHub Markdown Anthropic Gemini MCP

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