fastapi-python

Expert in FastAPI Python development with best practices for APIs and async operations

Quality

61%

Does it follow best practices?

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tessl review fix ./.agents/skills/fastapi-python/SKILL.md

Quality

Content

68%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 content is exceptionally concise and well-structured as a standards reference, but it is purely instructional with no executable code examples, no sequenced workflow, and no validation checkpoints, which limits actionability and workflow clarity.

Suggestions

Add a short executable Quick-Start example (a minimal FastAPI app with a Pydantic model, an async endpoint, and dependency injection) to lift actionability toward copy-paste ready.

For any multi-step or batch guidance (e.g., refactoring routes, migrating to async), provide a numbered sequence with an explicit validation/verification checkpoint.

Add concrete code snippets for the highest-value directives (e.g., a lifespan context manager and an HTTPException response pattern) so the guidance is executable rather than only descriptive.

Dimension	Reasoning	Score
Conciseness	The body is a lean, well-organized list of directives with no padding or explanations of concepts Claude already knows; every line is a concrete standard, matching the 'lean and efficient; every token earns its place' anchor.	5 / 5
Actionability	It gives concrete, specific directives (e.g., 'Use async def for asynchronous operations', 'Prefer lifespan context managers', 'Use HTTPException for expected errors') but includes no executable code examples or commands, leaving the guidance instructional rather than copy-paste ready.	3 / 5
Workflow Clarity	The guidance is grouped into clear topical sections rather than a sequenced multi-step process; there are no validation checkpoints or feedback loops, and for a standards/conventions skill this lands at the 'steps listed but validation gaps' / unsequenced midpoint.	3 / 5
Progressive Disclosure	The body is short and well-organized into clearly labeled sections with no nested references and no bundle files to navigate; it is appropriately self-contained with minor organization gaps, fitting the 'good structure; most content appropriately placed' anchor.	4 / 5
	Total	15 / 20 Passed

Description

53%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 clear and domain-specific but generic in its actions and lacks any explicit 'Use when' trigger guidance, capping completeness. Adding concrete capability verbs and a usage trigger clause would lift it substantially.

Suggestions

Add a 'Use when...' clause naming concrete triggers (e.g., 'Use when building FastAPI services, defining async endpoints, or working with Pydantic models').

Replace generic phrasing with specific concrete actions (e.g., 'Designs async endpoints, models request/response schemas with Pydantic v2, wires dependency injection, optimizes blocking I/O').

Include natural user phrasings and synonyms ('REST endpoints', 'OpenAPI docs', 'backend APIs') to broaden trigger coverage.

Dimension	Reasoning	Score
Specificity	It names the domain ('FastAPI Python development', 'APIs and async operations') but offers only generic actions rather than concrete, enumerated capabilities, matching the 'names domain and 1-2 concrete actions but not comprehensive' anchor.	3 / 5
Completeness	It clearly states what the skill does (expert FastAPI development with best practices) but provides no 'Use when...' clause or equivalent trigger guidance, so per the judging guidelines completeness is capped at 3.	3 / 5
Trigger Term Quality	It surfaces 'FastAPI', 'Python', 'APIs', and 'async operations', but lacks the common natural phrasings or synonyms a user would say when needing this skill (e.g., 'endpoints', 'OpenAPI', 'backend service', 'web framework'), fitting the 'some relevant keywords but missing common variations' anchor.	3 / 5
Distinctiveness Conflict Risk	The FastAPI-specific framing carves a fairly clear niche distinct from general Python or other web-framework skills, with only minor overlap risk against generic Python-backend skills.	4 / 5
	Total	13 / 20 Passed

Validation

100%

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 — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: debpalash/VoiceStudio
Path: .agents/skills/fastapi-python/SKILL.md
Commit: 685ca91

Reviewed: 29 minutes ago

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