algorithm-design
Design algorithms with LaTeX pseudocode and UML diagrams. Generate algorithmic environments,…
Assess research idea novelty through systematic literature search. Multi-round search-evaluate loops with harsh critic persona. Binary novel/not-novel decision with justification. Use before committing to a research direction.
$ npx -y skills add lingzhi227/agent-research-skills --skill novelty-assessment --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/novelty-assessmentContext preview
The summary Claude sees to decide when to auto-load this skill.
Assess research idea novelty through systematic literature search. Multi-round search-evaluate loops with harsh critic persona. Binary novel/not-novel decision with justification. Use before committing to a research direction.
name: novelty-assessment description: Assess research idea novelty through systematic literature search. Multi-round search-evaluate loops with harsh critic persona. Binary novel/not-novel decision with justification. Use before committing to a research direction. argument-hint: [idea]
Rigorously assess whether a research idea is novel through systematic literature search.
python ~/.claude/skills/idea-generation/scripts/novelty_check.py \ --idea "Your research idea description" \ --max-rounds 10 --output novelty_report.json
python ~/.claude/skills/deep-research/scripts/search_semantic_scholar.py \ --query "relevant search query" --max-results 10
For each round: 1. Generate a targeted search query 2. Search Semantic Scholar / arXiv / OpenAlex 3. Review top-10 results with abstracts 4. Assess overlap with the idea 5. Decide: need more searching, or ready to decide
If novel, identify:
Be a harsh critic for novelty. Ensure there is a sufficient contribution for a new conference or workshop paper. A trivial extension of existing work is NOT novel. The idea must offer a meaningfully different approach, formulation, or insight.
{
"decision": "novel" | "not_novel",
"confidence": "high" | "medium" | "low",
"justification": "After searching X rounds...",
"most_similar_papers": [
{"title": "...", "year": 2024, "overlap": "..."}
],
"differentiation": "Our idea differs because..."
}31 skills for Claude Code covering the full academic research paper lifecycle — from literature search to slide generation — plus GitHub repository analysis for research topics. Extracted from 17 GitHub repos studying LLM-agent-driven research automation.
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