backend-expert

Implements FastAPI endpoints, creates SQLAlchemy 2.0 async models, generates idempotent Alembic migrations, structures bounded contexts following DDD (domain→infrastructure→application→api), and produces typed Pydantic v2 DTOs. Runs inside Docker (visionarias_brain_dev). Use when: 'create an endpoint', 'modify the backend', 'create a new entity', 'update a service', 'database logic', 'fix a backend bug', 'add a migration', 'create a repository', 'agrega un campo', 'nueva ruta API', 'corrige el servicio', or any Python/FastAPI/SQLAlchemy/Alembic task.

Quality

96%

Does it follow best practices?

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Securityby

Passed

No findings from the security scan

Quality

Content

92%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is a tight, actionable backend SOP: concrete code and exact commands, clearly sequenced workflows with explicit validation gates (TDD red-first, architecture tests, ETL regen), and one-level-deep references that all resolve. The only weakness is duplicated reference listings that slightly dilute token efficiency.

Suggestions

Consolidate the reference inventory: 'runtime-quality-checklist.md' and several files appear in both the 'Referencias' and 'Project invariants' sections — merge into a single annotated list to trim redundant tokens.

The 'Quality runtime checklist OBLIGATORIO' callout and the 'Project invariants' bullet for the same checklist overlap; keep the prominent callout and drop the duplicate bullet.

Consider moving the inline ETL warning block's step-by-step detail into a reference file referenced by a short guardrail pointer, since it is context-specific rather than universally needed.

Dimension	Reasoning	Score
Conciseness	Lean and assumes Claude's competence — no explanations of what FastAPI/SQLAlchemy/DDD are — but the reference inventory is duplicated across the 'Referencias' and 'Project invariants' sections with near-identical file listings, which could be consolidated.	4 / 5
Actionability	Provides copy-paste-ready code blocks (SQLAlchemy 2.0 correct vs prohibited, Pydantic v2 DTO, idempotent Alembic raw SQL) and exact commands (`make extraction-contract`, `make arch-test`, `pytest tests/architecture/ -v`) with concrete file paths covering the common cases.	5 / 5
Workflow Clarity	Sequenced workflows (Inside-Out 0–4, Code-First, Outside-In bug triage) with explicit validation checkpoints — TDD red-first ('DEBE fallar RED'), the architecture test gate, and the mandatory ETL regen+test steps that 'falla si saltas estos pasos' — plus feedback loops for recovery.	5 / 5
Progressive Disclosure	SKILL.md is a clear overview pointing to well-signaled one-level-deep references under 'leer solo cuando aplique' / 'read on demand'; all ten referenced files exist and do not chain into further references, giving easy navigation.	5 / 5
	Total	19 / 20 Passed

Description

100%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is comprehensive and well-structured: it enumerates concrete capabilities in third person, supplies explicit 'Use when' trigger phrases in both English and Spanish, and carves out a distinct niche. It hits the top anchor on every dimension.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions across distinct technologies — 'Implements FastAPI endpoints', 'creates SQLAlchemy 2.0 async models', 'generates idempotent Alembic migrations', 'structures bounded contexts following DDD', 'produces typed Pydantic v2 DTOs' — with comprehensive coverage and no vague filler.	5 / 5
Completeness	Explicitly answers both 'what' (a concrete capability list) and 'when' via a dedicated 'Use when:' clause with concrete trigger phrases, satisfying the top anchor.	5 / 5
Trigger Term Quality	Comprehensive natural trigger phrases users would actually say — 'create an endpoint', 'modify the backend', 'create a new entity', 'add a migration', 'create a repository', plus Spanish synonyms 'agrega un campo', 'nueva ruta API', 'corrige el servicio', and tech-name fallbacks, matching the anchor for comprehensive coverage including synonyms.	5 / 5
Distinctiveness Conflict Risk	A clear niche — FastAPI/SQLAlchemy 2.0/Alembic/DDD backend work tied to a specific project (visionarias_brain_dev, Docker) — with distinct triggers and minimal overlap with unrelated skills.	5 / 5
	Total	20 / 20 Passed

Validation

93%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
relative_links	Relative link issues: 1 missing, 1 deeper-than-1-level	Warning

	Total	15 / 16 Passed

Repository: alpacapurpura/luana-method
Path: claude/skills/backend-expert/SKILL.md
Commit: caa08df

Reviewed: ~21 hours ago

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