cs-skills
10 computer science skills. Trigger: algorithms, systems research, software engineering, security papers. Design: theory, complexity analysis, code-centric research, and security methods.
Best use case
cs-skills is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
10 computer science skills. Trigger: algorithms, systems research, software engineering, security papers. Design: theory, complexity analysis, code-centric research, and security methods.
Teams using cs-skills should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/cs/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How cs-skills Compares
| Feature / Agent | cs-skills | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
10 computer science skills. Trigger: algorithms, systems research, software engineering, security papers. Design: theory, complexity analysis, code-centric research, and security methods.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Computer Science — 10 Skills Select the skill matching the user's need, then `read` its SKILL.md. | Skill | Description | |-------|-------------| | [ai-security-papers-guide](./ai-security-papers-guide/SKILL.md) | AI security papers from top-4 security conferences | | [algorithms-complexity-guide](./algorithms-complexity-guide/SKILL.md) | Analyze algorithm complexity and computational efficiency for research | | [code-llm-papers-guide](./code-llm-papers-guide/SKILL.md) | Survey and paper collection on LLMs for code generation | | [dblp-api](./dblp-api/SKILL.md) | Search computer science publications, authors, and venues via DBLP | | [distributed-systems-guide](./distributed-systems-guide/SKILL.md) | Distributed systems design patterns and analysis for CS research | | [formal-verification-guide](./formal-verification-guide/SKILL.md) | Formal methods, theorem proving, and model checking for CS research | | [gaussian-splatting-papers-guide](./gaussian-splatting-papers-guide/SKILL.md) | Curated papers and resources for 3D Gaussian Splatting | | [llm-aiops-guide](./llm-aiops-guide/SKILL.md) | Papers on LLMs for IT operations and AIOps research | | [software-engineering-research](./software-engineering-research/SKILL.md) | Guide to software engineering research topics and methodologies | | [software-heritage-api](./software-heritage-api/SKILL.md) | Archive and retrieve source code history via Software Heritage API |
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