con un clic
paper-discussion-full
// Use when the user wants the full multi-stage paper discussion workflow, a comprehensive structured discussion of one paper, or an equivalent full-discussion request in another language.
// Use when the user wants the full multi-stage paper discussion workflow, a comprehensive structured discussion of one paper, or an equivalent full-discussion request in another language.
Use the local InnoClaw CLI to run app workflows and Deep Research sessions from the terminal. Trigger when the user wants command-line control over this repository instead of only using the web UI.
Use when the user wants question-driven help on one paper, including paper understanding, follow-up questions, method or experiment clarification, limitation analysis, or comparison against related work in any language.
Use when the user wants the full research ideation workflow grounded in one seed paper, including complete ideation, feasibility review, experiment planning, and final synthesis, or makes an equivalent ideation request in another language.
ADMET & Drug-Likeness Report - Generate comprehensive ADMET and drug-likeness report: molecular properties, H-bond analysis, hydrophobicity, topology, and ADMET prediction. Use this skill for medicinal chemistry tasks involving calculate mol basic info calculate mol hbond calculate mol hydrophobicity calculate mol topology pred molecule admet. Combines 5 tools from 2 SCP server(s).
Affinity Maturation Pipeline - Affinity maturation: compute binding affinity, predict mutations, compute hydrophilicity, and predict drug-target interaction. Use this skill for antibody engineering tasks involving ComputeAffinityCalculator zero shot sequence prediction ComputeHydrophilicity PredictDrugTargetInteraction. Combines 4 tools from 3 SCP server(s).
Alanine Scanning Mutagenesis Pipeline - Alanine scanning: design scan, compute properties for each mutant, predict interactions, and compare. Use this skill for protein biochemistry tasks involving AlanineScanningDesigner ComputeProtPara PredictDrugTargetInteraction calculate protein sequence properties. Combines 4 tools from 3 SCP server(s).
| name | Paper Discussion Full |
| description | Use when the user wants the full multi-stage paper discussion workflow, a comprehensive structured discussion of one paper, or an equivalent full-discussion request in another language. |
| allowed-tools | ["readPaper","searchArticles"] |
Use this skill when the user wants the full structured discussion workflow for one paper rather than a simple Q&A exchange.
Produce a comprehensive, evidence-grounded discussion report for one paper by emulating the full discussion pipeline:
readPaper to ground the analysis in the full paper whenever possible.searchArticles to retrieve nearby papers; otherwise stay tightly focused on the selected paper.searchArticles results.Critical, Moderate, or Minor.searchArticles.Use this exact structure:
End with:
Overall take: ...
searchArticles results, never from model memory.searchArticles. Do NOT cite from memory.searchArticles first and cite what is returned.Use numbered inline citations in the text body (e.g., [1], [2]) and collect full references in the ## 8. References section. All references MUST be rendered in markdown so they are clickable and well-formatted:
Inline example:
该方法在 ImageNet 上超越了 ViT [1],但在小数据集上的泛化能力受到质疑 [2]。
References section example:
## 8. References
1. **Dosovitskiy, A. et al.** (2021). *An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.* ICLR 2021. [arXiv:2010.11929](https://arxiv.org/abs/2010.11929)
2. **Liu, Z. et al.** (2021). *Swin Transformer: Hierarchical Vision Transformer using Shifted Windows.* ICCV 2021. [DOI:10.1109/ICCV48922.2021.00986](https://doi.org/10.1109/ICCV48922.2021.00986)
searchArticles.[text](url) for clickable DOI/URL links.