browser-session-curator
Turn an overwhelming set of tabs, bookmarks, and snippets into a structured session digest with tasks, reading queue, and archive plan.
Best use case
browser-session-curator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Turn an overwhelming set of tabs, bookmarks, and snippets into a structured session digest with tasks, reading queue, and archive plan.
Teams using browser-session-curator should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/browser-session-curator/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How browser-session-curator Compares
| Feature / Agent | browser-session-curator | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Turn an overwhelming set of tabs, bookmarks, and snippets into a structured session digest with tasks, reading queue, and archive plan.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Browser Session Curator
## Purpose
Turn an overwhelming set of tabs, bookmarks, and snippets into a structured session digest with tasks, reading queue, and archive plan.
## Trigger phrases
- 整理浏览器标签页
- tab dump
- session digest
- 书签归档
- 浏览器会话整理
## Ask for these inputs
- tab titles/URLs/notes
- session goal
- time budget
- archive rules
- project tags
## Workflow
1. Cluster tabs by task, reading, waiting, and archive.
2. Identify likely duplicates and stale tabs.
3. Produce a short execution plan for the next 30–60 minutes.
4. Export a digest with tags and follow-up actions.
5. Prefer lightweight action over cataloging everything forever.
## Output contract
- session digest
- reading queue
- archive list
- next-hour action plan
## Files in this skill
- Script: `{baseDir}/scripts/session_digest.py`
- Resource: `{baseDir}/resources/session_tags.yaml`
## Operating rules
- Be concrete and action-oriented.
- Prefer preview / draft / simulation mode before destructive changes.
- If information is missing, ask only for the minimum needed to proceed.
- Never fabricate metrics, legal certainty, receipts, credentials, or evidence.
- Keep assumptions explicit.
## Suggested prompts
- 整理浏览器标签页
- tab dump
- session digest
## Use of script and resources
Use the bundled script when it helps the user produce a structured file, manifest, CSV, or first-pass draft.
Use the resource file as the default schema, checklist, or preset when the user does not provide one.
## Boundaries
- This skill supports planning, structuring, and first-pass artifacts.
- It should not claim that files were modified, messages were sent, or legal/financial decisions were finalized unless the user actually performed those actions.
## Compatibility notes
- Directory-based AgentSkills/OpenClaw skill.
- Runtime dependency declared through `metadata.openclaw.requires`.
- Helper script is local and auditable: `scripts/session_digest.py`.
- Bundled resource is local and referenced by the instructions: `resources/session_tags.yaml`.Related Skills
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