dr-claw
Dr. Claw skill for OpenClaw project discovery, idea intake, waiting-session triage, structured session control, event-driven notifications, and mobile…
Use when a quest needs problem framing, literature scouting, dataset or metric clarification, or baseline discovery before deeper work.
$ npx -y skills add OpenLAIR/dr-claw --skill ds-scout --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/ds-scoutContext preview
The summary Claude sees to decide when to auto-load this skill.
Use when a quest needs problem framing, literature scouting, dataset or metric clarification, or baseline discovery before deeper work.
name: ds-scout description: Use when a quest needs problem framing, literature scouting, dataset or metric clarification, or baseline discovery before deeper work. skill_role: stage license: MIT metadata: author: ResearAI/DeepScientist version: "1.0.0"
Use this skill when the quest does not yet have a stable research frame.
The scout stage exists to answer the smallest set of framing questions required to make the rest of the quest efficient:
This stage is not generic browsing. It is a bounded framing and discovery stage that should quickly make the next anchor obvious.
The scout stage should usually establish four layers:
If one of these layers is still missing, say so explicitly.
Prefer web search for paper discovery, usually targeting arXiv first, then expand with benchmark docs, official repos, and broader web search for provenance.
Keep discovery in web search; use `artifact.arxiv(...)` only for actual paper reading, and set `full_text=True` only when needed.
Reuse prior survey notes and search only for genuinely missing, newer, or unresolved references.
Before spending time scouting, first verify whether the current quest already contains enough framing in:
If the answer is already clear, exit quickly and move to the correct next anchor.
`scout` is the framing anchor. It often prepares for `baseline`.
In practice:
Do not stay in `scout` once the next `baseline` route is obvious enough to record durably.
Prefer the following sources in order:
1. user-provided task description and explicit constraints 2. durable quest files and artifacts 3. codebase and repository docs 4. primary papers, official repos, and benchmark docs 5. existing reusable baselines and quest/global memory 6. web-search results, often including arXiv and adjacent sources, used to fill gaps, verify provenance, or update recency
Do not let the scout stage rest on vague recollection alone.
The scout stage should usually leave behind:
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Repo: OpenLAIR/dr-claw
Dr. Claw skill for OpenClaw project discovery, idea intake, waiting-session triage, structured session control, event-driven notifications, and mobile…
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