---
name: paper-discussion-full-f3480ac128fd
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
---

# Paper Discussion Full

Use this skill when the user wants the full structured discussion workflow for one paper rather than a simple Q&A exchange.

## Goal

Produce a comprehensive, evidence-grounded discussion report for one paper by emulating the full discussion pipeline:

1. Moderator
2. Librarian
3. Skeptic
4. Reproducer
5. Convergence
6. Final Scribe Report

## Workflow

1. Identify the target paper. If it is missing, ask for the title, URL, or PDF link.
2. Use `readPaper` to ground the analysis in the full paper whenever possible.
3. If the user explicitly wants related-work comparison, use `searchArticles` to retrieve nearby papers; otherwise stay tightly focused on the selected paper.
4. Reason through the following stages in order and expose the stage outputs clearly:
   - Agenda
   - Evidence Summary
   - Critical Analysis
   - Reproducibility Check
   - Convergence
   - Final Report
5. Keep every stage grounded in available evidence. When evidence is missing, say so explicitly.

## Stage Expectations

### Agenda

- Define the discussion focus.
- Name the main evaluation axes: novelty, evidence quality, methodology, reproducibility, limitations.

### Evidence Summary

- State the core claim, method, setup, and reported results.
- Separate explicit evidence from inference.
- When referencing external work for comparison, cite it using `searchArticles` results.

### Critical Analysis

- Challenge overclaims, weak baselines, missing ablations, and threats to validity.
- Mark issue severity as `Critical`, `Moderate`, or `Minor`.
- When identifying missing baselines or comparing to external methods, cite specific papers found via `searchArticles`.

### Reproducibility Check

- Judge whether the paper is easily, partially, or poorly reproducible.
- List what is specified versus what is missing.
- Propose a minimal reproduction recipe.

### Convergence

- Summarize agreement, disagreement, and unresolved questions.

### Final Report

Use this exact structure:

# Paper Discussion Report

## 1. Paper Snapshot
## 2. Key Claims
## 3. Strengths
## 4. Weaknesses / Risks
## 5. Reproducibility Assessment
## 6. Open Questions
## 7. Recommended Next Actions

End with:

`Overall take: ...`

## 8. References

## Quality Rules

- Do not fabricate details not present in the paper context. All external references must come from `searchArticles` results, never from model memory.
- Keep criticism specific and technically grounded.
- Preserve nuance rather than collapsing everything into a single score.
- If paper text cannot be retrieved, state that the report is based on limited context.

## Citation Policy

- Any claim about related work, competing methods, or external benchmarks MUST include a citation retrieved via `searchArticles`. Do NOT cite from memory.
- When the discussion references methods or results not in the seed paper, call `searchArticles` first and cite what is returned.
- If no supporting reference is found, mark the claim: **[Unverified — no supporting reference found via search]**.
- The target paper itself must be cited formally at the top of the report.

### Inline Citation & Reference Format

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)
```

- Each reference line MUST include: **Author(s)** (Year). *Title.* Venue/Journal. Linked DOI or URL when available from `searchArticles`.
- Use markdown bold for authors, italic for title, and `[text](url)` for clickable DOI/URL links.
- Number references sequentially as they first appear in the text.


---
Source attribution: SpectrAI-Initiative
Original project: https://github.com/SpectrAI-Initiative/InnoClaw
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Gabriel Moreira

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: SpectrAI-Initiative
Original project: https://github.com/SpectrAI-Initiative/InnoClaw
Attribution basis: Upstream repository explicitly recorded in package mirror path

Fields of work: Data & Analytics, Education & Research
Roles: Academic Writer, Data Scientist, Researcher
Specialties: Specialty not specified
Tools: Readpaper, Searcharticles
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 2f8dba84a6efceeaff3aca6d168cf47d398e9c4052e34bfb2973c16728be8d7e