Sympy
zLanqing/codex-claude-academic-skills
A skill your agent uses when working with symbolic mathematics in Python.
Strategies for scientific computing, numerical methods, bioinformatics/DNA tasks, logic circuit design, algorithmic challenges, and ML training tasks.
Install Scientific Computing
$ npx skills add A-EVO-Lab/a-evolve --skill scientific-computing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install A-EVO-Lab/a-evolve scientific-computing --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/A-EVO-Lab/a-evolve.git skills-src && mkdir -p .claude/skills && cp -r skills-src/seed_workspaces/terminal/skills/scientific-computing .claude/skills/scientific-computing && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "scientific-computing" agent skill from https://github.com/A-EVO-Lab/a-evolve/tree/main/seed_workspaces/terminal/skills/scientific-computing into .claude/skills/scientific-computing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scientific-computing", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/A-EVO-Lab/a-evolve/tree/main/seed_workspaces/terminal/skills/scientific-computingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add A-EVO-Lab/a-evolve --skill scientific-computing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install A-EVO-Lab/a-evolve scientific-computing --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/A-EVO-Lab/a-evolve.git skills-src && mkdir -p .agents/skills && cp -r skills-src/seed_workspaces/terminal/skills/scientific-computing .agents/skills/scientific-computing && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "scientific-computing" agent skill from https://github.com/A-EVO-Lab/a-evolve/tree/main/seed_workspaces/terminal/skills/scientific-computing into .agents/skills/scientific-computing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scientific-computing", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add A-EVO-Lab/a-evolve --skill scientific-computing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install A-EVO-Lab/a-evolve scientific-computing --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/A-EVO-Lab/a-evolve.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/seed_workspaces/terminal/skills/scientific-computing .cursor/skills/scientific-computing && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "scientific-computing" agent skill from https://github.com/A-EVO-Lab/a-evolve/tree/main/seed_workspaces/terminal/skills/scientific-computing into .cursor/skills/scientific-computing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scientific-computing", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/A-EVO-Lab/a-evolve.git --path seed_workspaces/terminal/skills/scientific-computing--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add A-EVO-Lab/a-evolve --skill scientific-computing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install A-EVO-Lab/a-evolve scientific-computing --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/A-EVO-Lab/a-evolve.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/seed_workspaces/terminal/skills/scientific-computing .gemini/skills/scientific-computing && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "scientific-computing" agent skill from https://github.com/A-EVO-Lab/a-evolve/tree/main/seed_workspaces/terminal/skills/scientific-computing into .gemini/skills/scientific-computing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scientific-computing", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install A-EVO-Lab/a-evolve scientific-computingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add A-EVO-Lab/a-evolve --skill scientific-computing -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/A-EVO-Lab/a-evolve.git skills-src && mkdir -p .github/skills && cp -r skills-src/seed_workspaces/terminal/skills/scientific-computing .github/skills/scientific-computing && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "scientific-computing" agent skill from https://github.com/A-EVO-Lab/a-evolve/tree/main/seed_workspaces/terminal/skills/scientific-computing into .github/skills/scientific-computing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scientific-computing", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add A-EVO-Lab/a-evolve --skill scientific-computing -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install A-EVO-Lab/a-evolve scientific-computing --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/A-EVO-Lab/a-evolve.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/seed_workspaces/terminal/skills/scientific-computing .opencode/skills/scientific-computing && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "scientific-computing" agent skill from https://github.com/A-EVO-Lab/a-evolve/tree/main/seed_workspaces/terminal/skills/scientific-computing into .opencode/skills/scientific-computing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scientific-computing", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
scientific-computing- GitHub stars
- 805
- Token cost
- ~495 tokens
- SKILL.md length
- 211 words
- Files
- 1
- Skills in repo
- 17
- Repo updated
- First seen
- Licence
- None found
At a glance
Strategies for scientific computing, numerical methods, bioinformatics/DNA tasks, logic circuit design, algorithmic challenges, and ML training tasks.
- Tasks that involve Math and symbolic computation
- SKILL.md covers CRITICAL: Write complete…, Bioinformatics / DNA primer…, Logic circuit / hardware design and Numerical / distribution tasks, plus 2 more sections
- Calls python3
- Tasks that involve Bioinformatics
What it does
Scientific Computing is an agent skill from A-EVO-Lab/a-evolve. Strategies for scientific computing, numerical methods, bioinformatics/DNA tasks, logic circuit design, algorithmic challenges, and ML training tasks.
Its SKILL.md is about 500 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Research & Science, covering Math and symbolic computation and Bioinformatics. The repository describes itself as: The official repository of "Position: Agentic Evolution is the Path to Evolving LLMs".
When your agent uses it
- Tasks that involve Math and symbolic computation
- Tasks that involve Bioinformatics
Example prompts
- “Use the scientific-computing skill to strategy for scientific computing, numerical methods, bioinformatics/DNA tasks, logic circuit design…”
- “/scientific-computing”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 18ba996. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Scientific Computing loads about 495 tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 211 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 211 words (~495 tokens).
“Multi-step scientific analysis MUST be written as a single .py file to avoid state loss:”
- name
- scientific-computing
Files
Just SKILL.md in seed_workspaces/terminal/skills/scientific-computing of A-EVO-Lab/a-evolve.
Open the folder on GitHubat commit 18ba996
Compare with similar skills
Scientific Computing next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Scientific Computing this skillA-EVO-Lab/a-evolve | 805 | — | ~495 | Automated safety check: Pass | None | |
| SympyzLanqing/codex-claude-academic-skills | 4.6k | 16 repos | ~3.4k | Automated safety check: Pass | MIT | |
| Alphagenome Single Variant Analysisgoogle-deepmind/science-skills | 3.2k | 2 repos | ~3k | Automated safety check: Notes | Apache-2.0 | |
| Edu Analytic Geometrywy51ai/edulab | 1.4k | 1 repos | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| 13C Metabolic Flux AnalysisK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Clinvar Databasegoogle-deepmind/science-skills | 3.2k | 2 repos | ~3.9k | Automated safety check: Notes | Apache-2.0 |
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Related
Categories
Questions about Scientific Computing
What does Scientific Computing do?
Strategies for scientific computing, numerical methods, bioinformatics/DNA tasks, logic circuit design, algorithmic challenges, and ML training tasks. Scientific Computing is an agent skill from A-EVO-Lab/a-evolve. Strategies for scientific computing, numerical methods, bioinformatics/DNA tasks, logic circuit design, algorithmic challenges, and ML training tasks.
When should I use Scientific Computing?
Scientific Computing fits situations like: tasks that involve Math and symbolic computation; tasks that involve Bioinformatics.
How do I install Scientific Computing in Claude Code?
Run `npx skills add A-EVO-Lab/a-evolve --skill scientific-computing -a claude-code`. Or copy the skill folder (seed_workspaces/terminal/skills/scientific-computing in A-EVO-Lab/a-evolve) into .claude/skills/scientific-computing in your project. Claude Code loads it when a task matches its description.
How do I install Scientific Computing in Codex?
Run `npx skills add A-EVO-Lab/a-evolve --skill scientific-computing -a codex`. Or copy the skill folder (seed_workspaces/terminal/skills/scientific-computing in A-EVO-Lab/a-evolve) into .agents/skills/scientific-computing in your project. Codex loads it when a task matches its description.
Can I use Scientific Computing in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add A-EVO-Lab/a-evolve --skill scientific-computing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scientific-computing, .gemini/skills/scientific-computing, .github/skills/scientific-computing and .opencode/skills/scientific-computing in your project.
What does Scientific Computing need to run?
Going by SKILL.md and its folder, Scientific Computing needs the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Scientific Computing access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Scientific Computing safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Scientific Computing use?
No licence was found for Scientific Computing or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Scientific Computing use?
About 495 tokens (SKILL.md is roughly 2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Scientific Computing?
Skills that share tags, products or a category with Scientific Computing: Sympy (zLanqing/codex-claude-academic-skills, 4.6k stars), Alphagenome Single Variant Analysis (google-deepmind/science-skills, 3.2k stars), Edu Analytic Geometry (wy51ai/edulab, 1.4k stars) and 13C Metabolic Flux Analysis (K-Dense-AI/scientific-agent-skills, 48k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Scientific Computing?
A-EVO-Lab (a GitHub organization) maintains it in A-EVO-Lab/a-evolve, which has 805 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on August 22, 2026.
Source: A-EVO-Lab/a-evolve on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.