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Executes the full research pipeline sequentially from brainstorming to paper writing. Passes results from each stage to the next.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Analyzes existing experiment results and designs/executes ablation experiments to verify the contribution of each component.
Skill for writing English text that reads as naturally human-authored, and for reviewing existing English text to detect and fix AI writing tells. Use this skill whenever the user asks to "write naturally", "remove AI tone", "make it sound human", "avoid AI tells", "de-AI", "humanize", "anti-AI writing", "sound less like ChatGPT", or any variation implying they want text free of detectable AI patterns. Also trigger when the user asks to review or edit text for AI-sounding patterns, or when they paste text and ask "does this sound like AI?" Even if the user simply says "write me a blog post" or "write an essay" without explicitly mentioning AI โ if this skill is available, apply its principles by default to produce more natural prose.
Brainstorm research ideas and formulate research hypotheses. When a user presents a research topic or area of interest, explore related ideas.
Create a detailed experiment plan for a selected research idea. Define experiment variables, metrics, baselines, and datasets.
Deep literature review with multi-stage search, citation graph traversal, and full-text analysis. Uses Semantic Scholar API, arXiv HTML reading, and snowball search to produce comprehensive research landscape analysis.
Analyzes experiment results and generates publication-quality figures for papers using matplotlib.
| name | vr-pipeline |
| description | Executes the full research pipeline sequentially from brainstorming to paper writing. Passes results from each stage to the next. |
| user-invocable | true |
| disable-model-invocation | true |
| argument-hint | ["research-topic"] |
Takes a research topic as input and executes the full pipeline from brainstorming to paper writing and self-review.
$ARGUMENTS - Research topic (e.g., "Analysis of in-context learning mechanisms in LLMs")
Important: After completing each stage, share the results with the user and receive feedback before proceeding to the next stage. Do not advance to the next stage without user confirmation.
Run /vr-brainstorm $ARGUMENTS.
Run /vr-literature-review on the selected idea.
Run /vr-experiment-plan based on the prior work analysis.
Run /vr-run-experiment <experiment-dir>.
Run /vr-make-figures <experiment-dir>.
Run /vr-write-paper <experiment-dir>.
Run /vr-peer-review <paper-dir>.
Run /vr-rebuttal <paper-dir>.
/vr-ablation-study <experiment-dir> for additional experimentsTrack the progress of each stage using TodoWrite.
/vr-ablation-study is run separately as needed after Stage 7