Setup & Installation
openclaw skills install @meimakes/deep-current
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
npx clawhub install deep-current
What This Skill Does
Manages long-running research topics as persistent threads stored in local JSON files. A Python CLI tracks notes, sources, and findings per thread across sessions. Pairs with a nightly cron job to produce dated markdown research reports.
Persistent thread state lets research compound over time rather than restarting from scratch each session.
When to use it
- Tracking a fast-moving technology topic across weeks of agent sessions
- Building a nightly digest on competitors or an emerging market
- Accumulating sources for a research paper over multiple days
- Monitoring a developing news story with daily automated updates
- Maintaining ongoing notes on several parallel research interests
Example Workflow
Here's how your AI assistant might use this skill in practice.
INPUT
User asks: Add a thread for 'WebAssembly in server-side runtimes' and run a research session
AGENT
- 1Run `python3 scripts/deep-current.py add 'WebAssembly in server-side runtimes'` to create the thread
- 2Check existing threads with `list` and recent coverage with `covered` to avoid repeating already-seen sources
- 3Use web_search and web_fetch to find recent developments on the topic
- 4Record findings with `finding <id> <text>` and add sources with `source <id> <url>`
- 5Write a dated report to `deep-current-reports/YYYY-MM-DD.md` with dense findings and inline source links
OUTPUT
A markdown report file in deep-current-reports/ containing findings on the thread, with inline source links and actionable flags