菜单
Query browsing history from all synced devices (iPhone, Mac, iPad, desktop). Supports natural language queries for filtering by date, device, domain, and keywords. Uses LLM classification for content categories. Can output to stdout or save as markdown/JSON to Obsidian vault.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
Use when you completed any task and need to log what was done with timestamps for future audit/review.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations.
This skill should be used for comprehensive Telegram automation via Telethon API. Use for sending/receiving messages, monitoring chats, running a background daemon that triggers Claude Code sessions, managing channels/groups, and downloading media. Triggers on "telegram daemon", "monitor telegram", "telegram bot", "spawn Claude from telegram", or any Telethon-related request. IMPORTANT: Use `draft` command for "драфт/draft", use `send` for "отправь/send"; if ambiguous, ASK before sending.
Extract YouTube video transcripts with metadata and save as Markdown to Obsidian vault. Use this skill when the user requests downloading YouTube transcripts, converting YouTube videos to text, or extracting video subtitles. Does not download video/audio files, only metadata and subtitles.
This skill should be used when updating ~/Sites/agency-docs meeting documentation after Claude Code lab sessions. Automatically creates/updates meeting MDX files with Fathom links, YouTube embeds, fact-checked summaries using claude-code-guide agent, and presentation content. Auto-detects lab number from filename, finds presentations, commits and pushes changes.
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
| name | browsing-history |
| description | Query browsing history from all synced devices (iPhone, Mac, iPad, desktop). Supports natural language queries for filtering by date, device, domain, and keywords. Uses LLM classification for content categories. Can output to stdout or save as markdown/JSON to Obsidian vault. |
Query browsing history from all synced devices with natural language.
Use this skill when the user asks about:
Location: ~/data/browsing.db
Synced devices: iPhone, iPad, Mac, desktop, Android
The skill uses COALESCE(visit_time, first_seen) for accurate time-based queries.
python3 ~/.claude/skills/browsing-history/browsing_query.py "<query>" [options]
| Option | Description | Example |
|---|---|---|
--device | Filter by device | --device iPhone |
--days | Number of days back | --days 7 |
--domain | Filter by domain | --domain medium.com |
--limit | Max results | --limit 50 |
--format | Output format | --format json |
--output | Save to file | --output history.md |
--group-by | Group results | --group-by domain or --group-by category |
--categorize | Use LLM to categorize | --categorize |
Basic queries:
# Yesterday's browsing history
python3 ~/.claude/skills/browsing-history/browsing_query.py "yesterday"
# Articles from iPhone yesterday
python3 ~/.claude/skills/browsing-history/browsing_query.py "yesterday" --device iPhone
# Last week's history grouped by domain
python3 ~/.claude/skills/browsing-history/browsing_query.py "last week" --group-by domain
# Find articles about economics
python3 ~/.claude/skills/browsing-history/browsing_query.py "economics" --days 7
Save to Obsidian:
# Save yesterday's history as markdown
python3 ~/.claude/skills/browsing-history/browsing_query.py "yesterday" \
--output ~/Research/vault/browsing-2025-11-27.md
# Save with LLM categorization
python3 ~/.claude/skills/browsing-history/browsing_query.py "yesterday" \
--categorize --group-by category \
--output ~/Research/vault/browsing-categorized.md
# Save as JSON
python3 ~/.claude/skills/browsing-history/browsing_query.py "last week" \
--format json --output ~/Research/vault/history.json
Device-specific:
# iPhone tabs
python3 ~/.claude/skills/browsing-history/browsing_query.py "yesterday" --device iPhone
# Desktop history
python3 ~/.claude/skills/browsing-history/browsing_query.py "today" --device desktop
# All mobile devices
python3 ~/.claude/skills/browsing-history/browsing_query.py "yesterday" --device mobile
Search and filter:
# Sites starting with "joy"
python3 ~/.claude/skills/browsing-history/browsing_query.py "joy" --days 7
# Medium.com articles
python3 ~/.claude/skills/browsing-history/browsing_query.py "last month" --domain medium.com
The script recognizes:
| Pattern | Interpretation |
|---|---|
yesterday | Previous day |
today | Current day |
last week | Past 7 days |
last month | Past 30 days |
last N days | Past N days |
Keywords are searched in URL and title.
# Browsing History: yesterday
*47 unique URLs from 2025-11-27*
## 2025-11-27
- [Article Title](https://example.com/article) - iPhone - 14:32
- [Another Page](https://another.com/page) - desktop - 16:45
# Browsing History: yesterday
## News & Current Events
- [Breaking: Something Happened](https://news.com/...) - iPhone
## Technology & Programming
- [How to Build APIs](https://dev.to/...) - desktop
## Research & Learning
- [Academic Paper on AI](https://arxiv.org/...) - Mac
{
"query": "yesterday",
"date_range": "2025-11-27",
"total": 47,
"results": [
{"url": "...", "title": "...", "device": "iPhone", "time": "14:32", "category": "News"}
]
}
User: "Show me articles I read yesterday on my phone"
python3 ~/.claude/skills/browsing-history/browsing_query.py "yesterday" --device iPhone
User: "Save my browsing history from last week to Obsidian, grouped by category"
python3 ~/.claude/skills/browsing-history/browsing_query.py "last week" \
--categorize --group-by category \
--output ~/Research/vault/browsing-week.md
User: "Help me find that article about economics I read on my computer"
python3 ~/.claude/skills/browsing-history/browsing_query.py "economics" \
--device desktop --days 7
User: "Sites that start with 'joy' from last week"
python3 ~/.claude/skills/browsing-history/browsing_query.py "joy" --days 7
last_visit_time)llm CLI