Content
17%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a persona/resume-style skill, not an instructional one: it exhaustively catalogs FastAPI ecosystem topics Claude already knows, provides zero executable guidance, and points to a nonexistent playbook file. The boilerplate 'Use this skill when' sections are circular ('Working on fastapi pro tasks') and add no routing value. It needs to be rebuilt around concrete, opinionated guidance with real code examples in a properly bundled reference structure.
Suggestions
Replace the capability catalogs with a lean overview of the skill's actual decision rules (e.g., project structure conventions, async session patterns, auth scaffolding) and move any detail into real files under references/, fixing or removing the broken `resources/implementation-playbook.md` pointer.
Add executable content: a minimal copy-paste-ready FastAPI app skeleton (app factory, async SQLAlchemy session dependency, Pydantic V2 model, Alembic setup) covering the common cases the skill is invoked for.
Cut the duplicate persona sections ('You are a FastAPI expert...' / '## Purpose') and the circular 'Use/Do not use' boilerplate, and add explicit validation checkpoints to the workflow (e.g., run pytest, verify the app boots with uvicorn, check OpenAPI docs render).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The ~150-line body is dominated by capability catalogs ('### Core FastAPI Expertise', '### Data Management & ORM', etc.) enumerating ecosystem knowledge Claude already has ('- pytest with pytest-asyncio for async tests', '- Docker containerization with multi-stage builds'), plus redundant persona boilerplate duplicated between 'You are a FastAPI expert...' and '## Purpose'. It is above 1 only because the content is list-enumeration rather than didactic explanatory prose; it is far below 3 because nearly every section adds tokens without adding knowledge. | 2 / 5 |
Actionability | There is no code, no command, no configuration example, and no concrete decision guidance anywhere — the closest to instruction is 'Apply relevant best practices and validate outcomes' and 'Design API contracts with Pydantic models first', which are abstract directives Claude could produce unprompted. This matches the lowest anchor: it describes rather than instructs. | 1 / 5 |
Workflow Clarity | '## Response Approach' offers a rough 8-step sequence ('Analyze requirements', 'Design API contracts', 'Implement endpoints'...), but steps are vague labels with no commands or specifics, and validation is entirely absent — no checkpoints, no verify step, no error-recovery loop. It sits between anchors 1 and 2: a sequence exists (above 1), but steps are poorly defined and validation is missing (below 3). | 2 / 5 |
Progressive Disclosure | The body's only external pointer — 'open `resources/implementation-playbook.md`' — targets a file that does not exist in the bundle (there are no references/, scripts/, or assets/ directories at all), so the reference is broken. Meanwhile ~140 lines of capability-list content that clearly belongs in separate reference files are inlined in SKILL.md, matching anchor 2 ('content that clearly belongs in separate files is inlined'). | 2 / 5 |
Total | 7 / 20 Passed |