algorithm-design
Design algorithms with LaTeX pseudocode and UML diagrams. Generate algorithmic environments,…
Decompose research ideas into atomic, self-contained concepts with bidirectional math-code mapping. For each concept, extract the math formula from papers and find code implementations. Use for complex system papers requiring formal grounding.
$ npx -y skills add lingzhi227/agent-research-skills --skill atomic-decomposition --agent claude-codeHow it fires
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Decompose research ideas into atomic, self-contained concepts with bidirectional math-code mapping. For each concept, extract the math formula from papers and find code implementations. Use for complex system papers requiring formal grounding.
name: atomic-decomposition description: Decompose research ideas into atomic, self-contained concepts with bidirectional math-code mapping. For each concept, extract the math formula from papers and find code implementations. Use for complex system papers requiring formal grounding. argument-hint: [idea-or-paper]
Decompose research ideas into atomic concepts with math formula <-> code implementation mapping.
Analyze the research idea and decompose into atomic, self-contained concepts:
{
"definition": "Kernelized Gumbel-Softmax Operator",
"math_formula": "Z = \\text{softmax}((\\log \\pi + g) / \\tau), g \\sim \\text{Gumbel}(0,1)",
"code_implementation": "def gumbel_softmax(logits, tau=1.0): ...",
"reference_papers": ["Paper Title 1"],
"reference_codebases": ["github_user/repo_name"],
"assumptions": ["Differentiable relaxation of discrete sampling"],
"connections": ["Used in Component X of the proposed method"]
}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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