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.
Best use case
Paper Discussion Full is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using Paper Discussion Full should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/paper-discussion-full/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Paper Discussion Full Compares
| Feature / Agent | Paper Discussion Full | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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. ### Critical Analysis - Challenge overclaims, weak baselines, missing ablations, and threats to validity. - Mark issue severity as `Critical`, `Moderate`, or `Minor`. ### 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: ...` ## Quality Rules - Do not fabricate details not present in the paper context. - 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.
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