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order-service

Defines coding conventions, error handling patterns, async practices, logging standards, API response formats, and testing workflows for the Order Service — a FastAPI/Python microservice. Covers typed exception classes with FastAPI exception handler registration, structlog structured logging, Pydantic request/response models, and pytest-asyncio endpoint tests. Use when writing or modifying order endpoints, implementing order processing logic, adding error handling, or working with any file matching app/**/*.py or tests/**/*.py in the Order Service.

77

Quality

98%

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SKILL.md
Quality
Evals
Security

Quality

Content

96%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 concise, highly actionable, and well-structured with executable examples and an explicit test workflow containing a feedback loop. Progressive disclosure is strong though the single-file approach sits just above the trivial-skill threshold.

DimensionReasoningScore

Conciseness

Lean and efficient with no padding or explanations of concepts Claude already knows (FastAPI, Pydantic); every section delivers a concrete convention or executable snippet that earns its place.

5 / 5

Actionability

Fully executable, copy-paste-ready code for exception classes, handler registration, structlog logging, response shapes, and a concrete test run command; covers the common cases the skill targets.

5 / 5

Workflow Clarity

The testing section is a clear six-step numbered sequence with an explicit feedback loop (step 6: verify mock setup then re-run until assertions pass), and error handling follows a define-register-raise pattern with clear checkpoints.

5 / 5

Progressive Disclosure

Well-organized into clearly signaled sections with no nested references and no bundle files to misroute; slightly above the simple-skill line, but self-contained and easy to navigate.

4 / 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 exemplary: third-person, specific, comprehensive, and explicit about both capabilities and trigger conditions. It names concrete technologies and natural trigger phrases with file-path scoping.

DimensionReasoningScore

Specificity

Lists multiple concrete capabilities (coding conventions, error handling, async, logging, API response formats, testing) and concrete technologies (typed exception classes, FastAPI exception handlers, structlog, Pydantic, pytest-asyncio), giving comprehensive coverage.

5 / 5

Completeness

Explicitly answers both 'what' (conventions, patterns, technologies) and 'when' with a clear 'Use when...' clause listing concrete trigger scenarios.

5 / 5

Trigger Term Quality

Includes natural phrases users would say ('writing or modifying order endpoints', 'implementing order processing logic', 'adding error handling') plus concrete file-glob triggers (app/**/*.py, tests/**/*.py), covering synonyms and path patterns.

5 / 5

Distinctiveness Conflict Risk

Scoped tightly to the Order Service FastAPI/Python microservice and bounded by specific file globs, giving a clear niche with minimal overlap with other skills.

5 / 5

Total

20

/

20

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
jbaruch/qcon-london-2026-300-tokens
Reviewed

Table of Contents

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