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 already has a paper, draft, or review package and the task is to map reviewer feedback into experiments, manuscript deltas, and a durable rebuttal / revision response.
$ npx -y skills add OpenLAIR/dr-claw --skill ds-rebuttal --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/ds-rebuttalContext preview
The summary Claude sees to decide when to auto-load this skill.
Use when a quest already has a paper, draft, or review package and the task is to map reviewer feedback into experiments, manuscript deltas, and a durable rebuttal / revision response.
name: ds-rebuttal description: Use when a quest already has a paper, draft, or review package and the task is to map reviewer feedback into experiments, manuscript deltas, and a durable rebuttal / revision response. skill_role: companion license: MIT metadata: author: ResearAI/DeepScientist version: "1.0.0"
Use this skill when the quest is in review, revision, or rebuttal mode.
This is not the same as ordinary `write`. The task is no longer “draft the paper from evidence”. The task is “respond to concrete reviewer pressure with the smallest honest set of experiments, text changes, claim adjustments, and response artifacts”.
`rebuttal` is an auxiliary orchestration skill for review-driven work.
It should convert reviewer material into a durable response workflow:
1. parse and normalize the review package 2. split comments into stable atomic items and classify what they actually require 3. decide which concerns need literature/positioning analysis, which need experiments, which need text, and which require claim downgrades 4. route supplementary runs to `analysis-campaign` only after the analysis step says they are truly needed 5. route manuscript edits to `write` 6. assemble the response letter and revision ledger
Default rebuttal stance: analysis before execution. Do not jump from “reviewer asked for more evidence” straight to experiments. Do not invent rebuttal-only special tools or side workflows. Stay inside the normal DeepScientist surface: `memory`, `artifact`, `bash_exec`, plus ordinary stage/companion skills. First decide whether the issue is actually:
Use, in roughly this order:
If the current paper/result state is still unclear, open `intake-audit` first before continuing the rebuttal workflow. Before launching any new supplementary experiment, read those structured `evaluation_summary` blocks first so the rebuttal plan starts from the already-recorded evidence state rather than from raw narrative memory. If the
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Repo: OpenLAIR/dr-claw
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