Computer Science — 10 Skills

SkillSecurity

10 computer science skills. Trigger: algorithms, systems research, software engineering, security papers. Design: theory, complexity analysis, code-centric research, and security methods.

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Computer Science skill

What this skill tells your AI

The instructions your AI receives, as published by brycewang-stanford/auto-empirical-research-skills in skills/43-wentorai-research-plugins/skills/domains/cs/SKILL.md and read by ahel’s review.

Select the skill matching the user's need, then read its SKILL.md.

SkillDescription
ai-security-papers-guideAI security papers from top-4 security conferences
algorithms-complexity-guideAnalyze algorithm complexity and computational efficiency for research
code-llm-papers-guideSurvey and paper collection on LLMs for code generation
dblp-apiSearch computer science publications, authors, and venues via DBLP
distributed-systems-guideDistributed systems design patterns and analysis for CS research
formal-verification-guideFormal methods, theorem proving, and model checking for CS research
gaussian-splatting-papers-guideCurated papers and resources for 3D Gaussian Splatting
llm-aiops-guidePapers on LLMs for IT operations and AIOps research
software-engineering-researchGuide to software engineering research topics and methodologies
software-heritage-apiArchive and retrieve source code history via Software Heritage API

Signals

GitHub stars
4k
Forks
531
Last commit
Sep 2026

ahel review

  • K1binfo
    installs-packages (in gaussian-splatting-papers-guide/SKILL.md)
  • K1binfo
    installs-packages (in software-engineering-research/SKILL.md)

Automated review, not a security audit. Ruleset v1+k2.

Advanced
Item type
skill
Key
cs-skills
Source
github.com/brycewang-stanford/auto-empirical-research-skills