Agent skill · Design & Presentation

research

Systematic technical and scientific research for algorithms, papers, libraries, and implementation strategies. Use when investigating new algorithms, comparing approaches, finding reference implementations, reviewing literature, or gathering information before design decisions.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill research-hammerhead-space-agenticcodingrules-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 3 KB
Bundled scripts: none
Path: skills/analysis/research-hammerhead-space-agenticcodingrules-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Technical Research ## Purpose Conduct thorough, structured research to inform design and implementation decisions. Produce actionable findings with clear sources, not just raw information dumps. ## When to Use - Investigating an algorithm or method before implementing it - Comparing competing approaches (solvers, formulations, libraries) - Finding reference implementations or validation data - Understanding a mathematical formulation from the literature - Evaluating whether an external package meets requirements ## Process ### 1. Define the Research Question Clarify with the user: - What specific question needs answering? - What decisions will this research inform? - Are there known starting points (papers, packages, textbooks)? - What constraints matter (performance, accuracy, AD-compatibility, license)? ### 2. Search Strategy Execute multiple search angles: - **Academic/algorithmic**: search for papers, textbook references, survey articles - **Implementation**: search for existing Julia packages, GitHub repos, reference code - **Community**: search Julia Discourse, relevant forums, package documentation - **Comparison**: search for benchmarks, trade-off analyses, known limitati

What's inside
Steps it walks through
  1. Purpose
  2. When to Use
  3. Process
  4. 1. Define the Research Question
  5. 2. Search Strategy
  6. 3. Evaluate Sources
  7. 4. Synthesize Findings
  8. 5. Verify Key Claims
  9. Output Requirements
Ships with 1 file
  • metadata.json
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About this skill
What does the research skill do?

Systematic technical and scientific research for algorithms, papers, libraries, and implementation strategies. Use when investigating new algorithms, comparing approaches, finding reference implementations, reviewing literature, or gathering information before design decisions.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill research-hammerhead-space-agenticcodingrules-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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