Mathodology Repository Orientation
SkillDev toolsUse when maintaining or checking boundaries of the Mathodology skills repository itself, or deciding whether a change belongs on this branch.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Mathodology Repository Orientation skill
What this skill tells your AI
The instructions your AI receives, as published by sweetcornna/mathodology in .claude/skills/mathodology-project-orientation/SKILL.md and read by ahel’s review.
The maintained source is .claude/skills/, with roles in .claude/agents/,
workflow prompts in .claude/workflows/, and user documentation in docs/.
The root retains AGENTS.md, the two READMEs, LICENSE, .gitignore and .mcp.json.
Skill directories may include reference Markdown, attributed source snapshots, small licensed images, generated demonstration figures and optional scripts. A reference figure is teaching material, not contest evidence. Keep synthetic previews visibly labeled and reproducible. Do not add a dataset collection, application runtime, CI, package manifest or deployment framework.
.agents/skills/ is an ignored local mirror, never a second authoring source.
Before replacing this project's installed skills, back up its Mathodology
entries outside the checkout. Leave other skills and global directories alone.
.mcp.json is a client configuration for the keyless search MCP. It is retained;
custom user configurations and secrets do not belong in source control.
Contest output can live in ignored work/ or another working directory.
Historical application implementation is available through Git history.
For maintenance, optionally run the repository checker described in maintenance. The checker verifies metadata, references and boundaries; it does not assess mathematical quality.
Signals
- GitHub stars
- 229
- Forks
- 12
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
mathodology-project-orientation- Source
- github.com/sweetcornna/mathodology