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Turn X bookmarks into ranked, analyzed research briefs
Turn X bookmarks into ranked, analyzed research briefs. Self-contained Claude Code plugin — no external CLI dependencies.
Add the marketplace, then install:
claude plugin install k3nnethfrancis/bookmark-research-engine
The plugin auto-installs the bre CLI on first session. Then run setup:
bre setup
pip install git+https://github.com/k3nnethfrancis/bookmark-research-engine.git
bre setup
bre fetch # pull bookmarks from X into pending queue
bre fetch -n 50 # fetch 50 bookmarks
bre status # pipeline health and pending count
bre setup # interactive setup (cookies, vault, config)
bre refresh-ids # refresh X GraphQL query IDs
bre enrich input.json # re-run enrichment on raw tweet JSON
> check bookmarks # status
> triage bookmarks # rank pending items against your research interests
> deep dive # spawn parallel research agents for tier-1 items
> review bookmarks # summarize findings, connect to projects
The bre CLI handles the mechanical fetch and enrichment. The Claude Code skill handles the intelligence — triage ranking, deep dive research, report writing.
bre fetch → pending.json → skill triage → approval file → skill deep dive → reports/
The vault structure (where reports, triage, and inbox files live) is fully configurable. Default: ~/.config/bre/vault/. Point vault_root at an existing Obsidian vault to integrate.
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Turn X bookmarks into ranked, analyzed research briefs via parallel deep-dive agents
k3nnethfrancisPersistent memory across context compactions via session dumps, vault search (QMD), and auto-injection
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npx claudepluginhub k3nnethfrancis/bookmark-research-engineTurn X bookmarks into ranked, analyzed research briefs via parallel deep-dive agents
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WenyuChiou