atomic-decomposition
Decompose research ideas into atomic, self-contained concepts with bidirectional math-code…
Design algorithms with LaTeX pseudocode and UML diagrams. Generate algorithmic environments, Mermaid class/sequence diagrams, and ensure consistency between pseudocode and implementation. Use when formalizing methods for a paper.
$ npx -y skills add lingzhi227/agent-research-skills --skill algorithm-design --agent claude-codeHow it fires
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Design algorithms with LaTeX pseudocode and UML diagrams. Generate algorithmic environments, Mermaid class/sequence diagrams, and ensure consistency between pseudocode and implementation. Use when formalizing methods for a paper.
name: algorithm-design description: Design algorithms with LaTeX pseudocode and UML diagrams. Generate algorithmic environments, Mermaid class/sequence diagrams, and ensure consistency between pseudocode and implementation. Use when formalizing methods for a paper. argument-hint: [method-description]
Formalize methods into algorithm pseudocode and system architecture diagrams.
1. Define clear inputs and outputs 2. Identify the main loop / recursive structure 3. Specify all parameters and their types 4. Write step-by-step pseudocode
Use `algorithm` + `algpseudocode` environments:
\begin{algorithm}[t]
\caption{Method Name}
\label{alg:method}
\begin{algorithmic}[1]
\Require Input $x$, parameters $\theta$
\Ensure Output $y$
\State Initialize ...
\For{$t = 1$ to $T$}
\State $z_t \gets f(x_t; \theta)$
\If{convergence criterion met}
\State \textbf{break}
\EndIf
\EndFor
\State \Return $y$
\end{algorithmic}
\end{algorithm}classDiagram
class Model {
+forward(x: Tensor) Tensor
+train_step(batch) float
}sequenceDiagram
participant M as Main
participant D as DataLoader
M->>D: load_data()
D-->>M: batches31 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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