tiny anchor
Providing agents with fresh technical context without the latency and token cost of runtime web scraping is a recurring bottleneck. I've been testing a "news substrate" approach using the skill that tap into a pre-recalled and by-topic news pool defined by user intentions.
The workflow lets an agent query a defined news pool to generate structured Markdown artifacts, like daily briefings or storyline trees, instead of dealing with raw HTML noise.
The base layer is a simple CLI retrieval step. For example:
- Run
syft search "Codex enterprise engineering Cisco Endava Virgin Atlantic context compression" --days 7 --limit 8 --rich
The first screenshot shows the raw topic-bounded pool: multiple source-labeled stories with publish dates, Story IDs, extracted signals, and source trails.
Example Artifacts using advanced news summary skills:
The second screenshot shows what an agent can generate on top of that pool: a structured story tree that surfaces Codex ROI, failure modes, mitigation patterns, and hardware signals.
Repo:
- Assistant to connect to the news pipeline: https://clawhub.ai/solatrader/syft-news-cli
- Advanced summary and event tracking skills: https://clawhub.ai/solatrader/syft-news
Install:
openclaw skills install syft-news-cli
openclaw skills install syft-news
Caveats:
- Requires a Syft CLI account (not local-only). It is an early workflow where advanced runs write reviewable local artifacts. I'm looking for feedback on whether the Markdown storyline tree format is effective for your RAG tasks.
