claude-scientific-skills – Data & Science skill for AI agents
Scientific research and analysis skills
Install the claude-scientific-skills skill with one command
Pick the tool you use, copy the command and paste it in your terminal. The skill lands in that tool's skills folder and is ready in your next session.
Claude Code
mkdir -p ~/.claude/skills && curl -fsSL https://skill.dn1nguoi.com/z/claude-scientific-skills-4a515.tgz | tar xz -C ~/.claude/skills
Call it in Claude Code: /claude-scientific-skills – then describe the task you want done.
Codex
mkdir -p ~/.codex/skills && curl -fsSL https://skill.dn1nguoi.com/z/claude-scientific-skills-4a515.tgz | tar xz -C ~/.codex/skills
Call it in Codex: $claude-scientific-skills – then describe the task you want done.
Hermes Agent
mkdir -p ~/.hermes/skills && curl -fsSL https://skill.dn1nguoi.com/z/claude-scientific-skills-4a515.tgz | tar xz -C ~/.hermes/skills
Call it in Hermes Agent: /claude-scientific-skills – then describe the task you want done.
DeepSeek
mkdir -p ~/.deepcode/skills && curl -fsSL https://skill.dn1nguoi.com/z/claude-scientific-skills-4a515.tgz | tar xz -C ~/.deepcode/skills
Call it in DeepSeek: /claude-scientific-skills – then describe the task you want done.
SKILL.md content
Claude Scientific Skills
Overview
Scientific research and analysis skills
When to Use This Skill
Use this skill when you need to work with scientific research and analysis skills.
Instructions
This is a discovery guide to the upstream scientific library; its many scientific
packages and workflows are not bundled inside this entrypoint.
1. Identify the scientific question, discipline, input data, desired analysis,
computational environment, and evidence needed to support the result.
2. Browse the source repository for the particular relevant skill; inspect its full
instructions, supporting files, dependencies, data licenses and limitations.
3. Prefer an appropriate already-installed canonical AAS skill when available.
Import or install upstream content only within the user's authorized scope;
do not silently load the whole library or execute unreviewed scripts.
4. Record methods, package versions, data provenance, uncertainty and actual checks.
Separate reproduced results from proposed analysis or vendor claims.
The upstream library now calls itself Scientific Agent Skills. The original source
URL is preserved for attribution and redirects to the same project.
Example
User request:
> Use @claude-scientific-skills for this task: Scientific research and analysis skills.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
Related skills
- interview-mapper – Maps a single interview transcript into a verbatim-grounded, lens-coded structure and…
- peft – Fine-tune large LLMs with LoRA on limited GPU memory.
- pyhealth – Builds and validates PyHealth clinical machine-learning pipelines for EHR, signals…
- pymatgen – Analyzes, validates, converts, and transforms materials structures and computed…
- pymoo – Solves and validates single-, multi-, and many-objective optimization with pymoo…
- pyopenms – Processes mass spectrometry data with pyOpenMS. Supports proteomics and metabolomics…
- pysam – Provides Python/HTSlib workflows for genomic files. Used when reading, querying…
- pytdc – Provides Therapeutics Data Commons workflows through PyTDC for registry discovery…