student-write-paper
Draft paper sections that stay aligned with the actual evidence and do not overclaim.
Skill by LiXin97
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: writing, research
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/student-write-paper
What's inside
- Skill name
student-write-paper- Description
- Draft paper sections that stay aligned with the actual evidence and do not overclaim.
- License
- Apache-2.0
- Instructions
- 94 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Student Write Paper
## Student-specific extensions
Write around a claim-evidence structure:
- claim
- evidence
- limitation
- next question
Every draft should contain:
- contribution bullets
- explicit limitations
- no result statement without a matching artifact or citation
Do not write a stronger story than the experiments can defend.
## Purpose
Draft paper sections for eventual publication, following standard ML/AI conference format.
## Paper Structure
```
{artifact_dir}/{your-name}/
├── paper_draft_v1.md
├── paper_draft_v2.md (revised after review)
└── figures/
├── main_results.png
└── architecture.png
```
## Standard Sections
### 1. Abstract
- Problem statement (1-2 sentences)
- Approach (1-2 sentences)
- Key results (1-2 sentences)
- Significance (1 sentence)
### 2. Introduction
- Motivation and problem context
- Limitations of existing approaches
- Our contribution (bulleted list)
- Paper organization
### 3. Related Work
- Organized by theme, not chronologically
- Position our work relative to prior art
- Note what we borrow vs. what is novel
### 4. Method
- Formal problem definition
- Proposed approach with mathematical notation
- Algorithm pseudocode if applicable
- Complexity analysis
### 5. Experiments
- Experimental setup (datasets, baselines, metrics, implementation details)
- Main results table
- Ablation studies
- Analysis and discussion
### 6. Conclusion
- Summary of contributions
- Limitations
- Future work
## Writing Rules
- Use precise language — avoid vague claims ("significantly better" → "3.2% improvement in F1")
- Every claim must be supported by evidence (experiments or citations)
- Define all notation on first use
- Tables and figures must be self-contained (readable without main text)
- Use consistent notation throughout
## Versioning
- Save each major revision as a new version: `paper_draft_v1.md`, `paper_draft_v2.md`
- After reviewer feedback, create a new version addressing all comments
- Include a changelog at the top of each new version
## Submission Checklist
- [ ] All experiments are reproducible (seeds, configs logged)
- [ ] Baselines are fair and up-to-date
- [ ] Error bars or confidence intervals included
- [ ] Limitations section is honest
- [ ] All figures are high-resolution
- [ ] References are complete and properly formattedFrom LiXin97/agora-lab, Apache-2.0.
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Signals
- Stars
- 51
- Forks
- 8
- Open issues
- 1
- Last commit (this folder)
- Apr 11, 2026 (7 months ago)
- Last release
- Apr 18, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/LiXin97/agora-lab
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
student-write-paper skill. Agent Mart. https://agentmart.dev/skills/lixin97-student-write-paper (last updated 2026-10-24)