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AI EngineeringPython

Mathodology Skill Authoring

by sweetcornna

Mathodology Skill Authoring is an AI Engineering skill for Claude Code, published by sweetcornna in mathodology.

179 stars9 forkson sweetcornna/mathodologyAdded 2026/09/07+18% in starsRepository updated 2026/09/07
agent-skillsai-codingclaude-codecodex
Install in seconds
Install Mathodology Skill Authoring
Copy Mathodology Skill Authoring into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/sweetcornna/mathodology/tree/main/.claude/skills/mathodology-skill-authoring ~/.claude/skills/mathodology-skill-authoring

Requires Node.js. Downloads this skill only โ€” not the rest of the repository โ€” into your Claude Code skills folder.

Without Node.js

git clone https://github.com/sweetcornna/mathodology.git

Clones the whole repository, then copy the skillโ€™s own directory into your skills folder yourself.

In this catalog

Source file
.claude/skills/mathodology-skill-authoring/SKILL.md in sweetcornna/mathodology
Installs to
~/.claude/skills/mathodology-skill-authoring
Collection
One of 8 skills cataloged from this repository
Category
AI Engineering โ€” 3475 skills

What Mathodology Skill Authoring does

Mathodology Skill Authoring helps write and review reusable skill guidance, role prompts, and metadata. Use it when adding, editing, or checking skill entry points, references, or documentation structure.

Mathodology Skill Authoring is cataloged under AI Engineering on DirSkills. Mathodology Skill Authoring comes from a repository tagged agent-skills, ai-coding, claude-code and codex.

Documentation

README

Mathodology Skill Authoring

Write reusable guidance around decisions, evidence and useful outputs. Explain when a method helps, how to recognize failure and when a simpler approach is better. Avoid mandatory phases, handoff schemas, arbitrary scores and prose that merely repeats another skill. Link the owning skill instead.

Every skill has SKILL.md frontmatter with a name equal to its directory and a trigger-focused description starting with Use when. Its agents/openai.yaml contains display_name, short_description and a default_prompt mentioning the matching $skill-name. These metadata files are discovery interfaces, not a workflow engine. Use concise role definitions; inherit the host's model choice.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Mathodology Skill Authoring

  • What else does sweetcornna publish alongside Mathodology Skill Authoring?

    Mathodology Skill Authoring is one of 8 skills that DirSkills catalogs from sweetcornna/mathodology, the repository it ships in. Its siblings there include Mathodology Award Gates, Mathodology Evidence Search and Mathodology Figure Presets. Each one is a separate skill with its own page in this directory, installs the same way Mathodology Skill Authoring does, and is maintained by sweetcornna in that same repository. The rest of the collection is listed on the sweetcornna/mathodology page.

  • How does Mathodology Skill Authoring compare to other AI Engineering skills?

    Mathodology Skill Authoring ranks #3119 by stars among the 3475 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Mathodology Skill Authoring against them. Open each page to compare what they document and how they install.

More from sweetcornna/mathodology

Mathodology Skill Authoring is one of 8 skills cataloged on DirSkills from sweetcornna/mathodology.

See all 8 skills โ†’
๐Ÿ“
2h ago

Mathodology Award Gates

Mathodology Award Gates reviews mathematical validity, evidence, reproducibility, and figures in a submission draft. Use it when checking claims, methods, uncertainty, or whether results are supported by the underlying code and data.
Quality
1799
๐Ÿ”Ž
2h ago

Mathodology Evidence Search

Mathodology Evidence Search helps find literature, datasets, domain facts, and citation details for claims or model choices. It is used when evidence must be verified from primary sources and gaps or assumptions need to be recorded.
AI Engineering
1799
๐Ÿ“Š
2h ago

Mathodology Figure Presets

Mathodology Figure Presets helps choose, design, generate, and review scientific figures, modeling charts, and paper illustrations. Use it for data-driven figure work, especially when adapting templates or checking publication-ready output.
Data
1799
๐Ÿงฉ
2h ago

Mathodology Modeling Companion

Mathodology Modeling Companion helps start or resume a modeling task, manage assumptions, and keep results reproducible. It also covers installing, backing up, and maintaining the skills pack.
AI Engineering
1799
๐Ÿง 
2h ago

Mathodology Modeling Prompts

Mathodology Modeling Prompts helps plan a modeling solution, choose the next useful step, and brief a specialist. Use it to define assumptions, test a baseline, challenge results, and communicate findings clearly.
AI Engineering
1799
๐Ÿงช
2h ago

Mathodology Repository Checks

Mathodology Repository Checks validates skill metadata, local links, repository boundaries, and known skill references from a checkout or source export. Use it when checking repository hygiene or preparing an explicit skills release.
Quality
1799