<< All versions

Skill v1.0.0

currentAutomated scan100/100
lixin97/agora-lab/student-literature
──Details
PublishedSeptember 27, 2026 at 10:46 AM
Content Hashsha256:4b520816419a2baa...
Git SHA
──Files
Files (1 file, 1.7 KB)
SKILL.md1.7 KBactive
SKILL.md · 71 lines · 1.7 KB

version: "1.0.0" name: student-literature description: Build a strong literature map with baselines, gaps, and concrete research opportunities.


Student Literature

Student-specific extensions

  • End with Recommended Baselines that names the first baseline to implement.
  • Add Reviewer concerns to pre-empt with the two highest-risk objections.
  • Check shared-references/citation-discipline.md before publishing.

Purpose

Survey existing work on a given topic to establish baselines, identify gaps, and inform hypothesis formulation.

Workflow

  1. Define scope: What specific question or area are you surveying?
  2. Search: Use web search to find relevant papers, blog posts, and codebases
  3. Read and summarize: Extract key contributions, methods, results, and limitations
  4. Synthesize: Identify themes, gaps, and opportunities
  5. Publish: Write structured output to your canonical shared artifact directory: {artifact_dir}/{your-name}/literature_{topic}.md

Output Format

markdown
# Literature Survey: {topic}
## Scope
What question this survey answers.
## Key Papers
### {Paper Title} ({Year})
-**Authors**: ...
-**Method**: ...
-**Key Result**: ...
-**Limitation**: ...
-**Relevance**: Why this matters to our research
### {Paper Title} ({Year})
...
## Themes
1....
## Gaps & Opportunities
1....
## Recommended Baselines
Methods we should compare against:
1....
## Reviewer concerns to pre-empt
1....
2....
## References
-[1] ...

Tips

  • Focus on papers from the last 3 years for ML/AI topics
  • Always note the evaluation metrics used — we'll need to match them
  • Flag any available open-source implementations
  • Note dataset availability for reproducibility
All versions