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1.6 KiB
1.6 KiB
Available Skills
Five Claude Code skills are installed in this repo's dev container. Each maps to a phase of the feature lifecycle.
| Skill | Invoke | When to use |
|---|---|---|
| grill-me | /grill-me |
Before implementing — stress-tests a design through sequential questioning |
| to-prd | /to-prd |
After a planning conversation — formalises context into a GitHub issue PRD |
| ubiquitous-language | /ubiquitous-language |
When domain terms are drifting or ambiguous — builds/updates UBIQUITOUS_LANGUAGE.md |
| tdd | /tdd |
During implementation — enforces vertical-slice TDD (one test → one impl → repeat) |
| improve-codebase-architecture | /improve-codebase-architecture |
During refactoring — surfaces shallow modules and proposes deepening opportunities |
Typical session chains
Feature planning:
/grill-me → /to-prd → /ubiquitous-language
Implementation:
/tdd (+ /grill-me if a design fork appears mid-session)
Refactoring:
/improve-codebase-architecture → /grill-me → /tdd → /ubiquitous-language
First time setting up?
New containers install all skills automatically via the Dockerfile. If you're in an existing container, run:
bash .devcontainer/backend/install-claude-skills.sh
Type Safety
All new code must pass pyright with zero errors under typeCheckingMode = strict.
Use Optional over | None
Annotate all function return types. Use dict[str, Any] for untyped external API
payloads — never bare dict. Add pandas-stubs when introducing pandas to a module.