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