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what-did-i-do

Passive screen activity tracker. Use this skill when the user asks what they did today, wants to track their screen activity, or needs to analyze their productivity patterns.

ソース情報

リポジトリ
lout33/what-did-i-do
ソースの最終更新活動
2026年2月2日 04:40
検出された SKILL.md の言語
英語
スター
5
フォーク
1

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SKILL.md
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name
what-did-i-do
description
Passive screen activity tracker. Use this skill when the user asks what they did today, wants to track their screen activity, or needs to analyze their productivity patterns.
allowed-tools
["Bash","Read"]
# what-did-i-do Passive screen tracker that captures screenshots every 5 minutes, then uses Gemini Vision to analyze what you actually did. ## Commands Use `Bash` to run these commands: ```bash # Start recording screenshots ~/.config/opencode/skill/what-did-i-do/scripts/watcher.sh start # Stop recording ~/.config/opencode/skill/what-did-i-do/scripts/watcher.sh stop # Check status ~/.config/opencode/skill/what-did-i-do/scripts/watcher.sh status # Analyze pending screenshots (sends to Gemini) ~/.config/opencode/skill/what-did-i-do/scripts/watcher.sh analyze ``` ## Reading Daily Reports Daily activity logs are stored in `~/.config/opencode/skill/what-did-i-do/daily/YYYY-MM-DD.md` Use `Read` to view today's report: ``` ~/.config/opencode/skill/what-did-i-do/daily/2026-02-01.md ``` ## Report Format Each daily file contains: - Time blocks with activity tables - Focus categories: Deep work / Light work / Break / Distraction - Summary with minutes per category ## Common Use Cases | User Says | Action | |-----------|--------| | "What did I do today?" | Read today's daily file, summarize | | "Start tracking my screen" | Run `watcher.sh start` | | "Stop tracking" | Run `watcher.sh stop` | | "Analyze my day" | Run `watcher.sh analyze`, then read the output | | "How productive was I?" | Read daily file, calculate deep work % | | "What did I do this week?" | Read last 7 daily files, summarize patterns | ## Setup Required User must set their Gemini API key in `scripts/analyze.py` (line 12). Get one free at: https://aistudio.google.com/apikey
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