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implement-backend

Implements a use case's backend: FastAPI router, Pydantic request/response schemas, service/domain layer, and SQLAlchemy models/queries. Use when the user asks to "implement the backend for UC-xxx", "build the API endpoint", "add a FastAPI route", "write the service layer", or mentions FastAPI implementation, Pydantic schemas, or SQLAlchemy queries for a specific use case.

77

Quality

96%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Content

92%

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

A high-quality, actionable skill body: lean, project-specific guidance, executable example code, and a workflow with a real validation feedback loop. The only weakness is progressive disclosure — everything lives inline in one file with no reference bundle to spread detail across.

Suggestions

Move the 'Example: Domain Exception -> HTTP Response' code block into a references/ file (e.g. references/domain-exception-pattern.md) and summarize the pattern in the body, so the SKILL.md stays a lean overview.

Consider extracting the per-query case-sensitivity rules (UC-004 vs UC-007/UC-008) into a short reference table rather than inline prose in the DO NOT list.

DimensionReasoningScore

Conciseness

Dense and information-rich with no padding of concepts Claude already knows; each DO NOT item and the code example carries project-specific, non-obvious knowledge that earns its tokens.

3 / 3

Actionability

Provides fully executable code (exception classes, a SQLAlchemy duplicate-name query, exception handlers, a thin router), concrete file paths, and an exact run command — copy-paste ready.

3 / 3

Workflow Clarity

A clear 9-step sequence culminating in an explicit validation feedback loop at step 9: run locally, exercise every flow, fix mismatches, and re-run until all flows pass.

3 / 3

Progressive Disclosure

Well-organized into sections with a clearly signaled one-level Resources list, but it is a single >50-line file with no bundle files to offload detail into, so content stays monolithic rather than progressively split.

2 / 3

Total

11

/

12

Passed

Description

100%

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

A tight, third-person description that pairs a concrete capability list with explicit, natural trigger phrases for a well-scoped niche. It answers both what and when without padding.

DimensionReasoningScore

Specificity

Names multiple concrete actions — 'FastAPI router, Pydantic request/response schemas, service/domain layer, and SQLAlchemy models/queries' — rather than vague language.

3 / 3

Completeness

Explicitly answers what (the four backend layers) and when (a dedicated 'Use when...' clause with concrete triggers), satisfying both halves.

3 / 3

Trigger Term Quality

Covers natural phrasings a user would actually say: 'implement the backend for UC-xxx', 'build the API endpoint', 'add a FastAPI route', 'write the service layer', plus FastAPI/Pydantic/SQLAlchemy mentions.

3 / 3

Distinctiveness Conflict Risk

Scoped to backend implementation of a specific use case (UC-xxx) with FastAPI/Pydantic/SQLAlchemy triggers, a clear niche unlikely to fire for unrelated skills.

3 / 3

Total

12

/

12

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
adolfobolivar/VETOnline
Reviewed

Table of Contents

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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.