ggplab이 실제로 쓰는 1인팀 운영 플레이북 — 전략·시간계측·AI 업무시스템
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Updated
Aug 6, 2026 - Python
ggplab이 실제로 쓰는 1인팀 운영 플레이북 — 전략·시간계측·AI 업무시스템
Command line utility to fill and sync Google Calendars with events taken from a Google spreadsheet
Your personal work-activity aggregator — tracks foreground activity + Git commits across all your machines, LLM-summarizes the day, and pushes to Jira / WeChat Work / Feishu / Slack. Runs 100% locally.
Commandline UI for Timewarrior. Gives you a realtime overview of your tracking. Inspired by atsb/worklog
A local-first CLI that tracks and summarizes your work across AI/agentic sessions (GitHub Copilot, Claude Code, OpenAI Codex, Agency) for reviews, work journals, and self-assessment. No cloud services, no API keys, no telemetry.
A professional Python desktop application for precise work time tracking with automatic overtime calculation, break management, and comprehensive reporting capabilities. Built to ensure compliance with customizable work norms while providing detailed analytics and audit trails.
A lightweight Codex Skill for software interns to understand codebases, distill engineering patterns, and build evidence-backed experience.
Trail Agent — standalone trail encoder/decoder/executor
Reduce daily reporting stress of working-hours, unleash creativity!
Windows desktop sticky daily planner and worklog app with time tracking, tray icon, startup launch, and local CSV export.
A skill for recording only high-value development milestones and generating resume-ready summaries.
Seev turns your real work—commits, PRs, and AI conversations—into a clean daily worklog. No copy‑pasting. No end‑of‑day scramble. Privacy‑first and local by default.
It is for when you want to record every minute and jira of your time
Agent skill that turns a Git repo's real code history into a human-readable, per-day project worklog under .git-worklog/ — reads actual diffs, not just commit messages, previews every change before writing, and can also report changelogs and summaries read-only.
从本地 Codex 会话历史生成中文日报的 Codex skill
Model-agnostic AI work audit and asset pipeline with CLI, API, MCP, and Docker Compose
Add a description, image, and links to the worklog topic page so that developers can more easily learn about it.
To associate your repository with the worklog topic, visit your repo's landing page and select "manage topics."