Content
64%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-organized backend development overview that efficiently maps the codebase structure and routes developers to appropriate references. Its strengths are conciseness, clear directory layout, and the critical security rule about mutations vs queries. Its weaknesses are the lack of concrete executable examples in the SKILL.md itself and the absence of explicit multi-step workflows with validation checkpoints for common tasks like adding a mutation or running a migration.
Suggestions
Add a brief concrete workflow example for the most common task (e.g., adding a mutation: create file → register in __init__.py → make graphql → make test-python → verify), with explicit validation checkpoints.
Consider moving the Naming and Docstrings sections to a separate style-guide reference file to keep SKILL.md focused on actionable development workflows.
Include at least one minimal executable code snippet (e.g., a skeleton mutation class) so the SKILL.md is independently useful without requiring reference file access.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and well-organized. It assumes Claude's competence with Python, SQLAlchemy, Strawberry, and FastAPI without explaining what they are. Every section earns its place — directory layout, command reference, task routing table, and hard rules are all high-signal content. | 3 / 3 |
Actionability | The skill provides concrete commands (make dev-backend, uv run pytest, etc.) and a clear directory map, but the actual implementation guidance is deferred entirely to reference files. The SKILL.md itself doesn't contain executable code examples for any of the core tasks (adding a mutation, writing a test, etc.), so a developer would need to follow references for any concrete guidance. | 2 / 3 |
Workflow Clarity | The task routing table clearly directs users to the right reference for each task type, and the hard rules section highlights a critical security constraint. However, there are no explicit multi-step workflows with validation checkpoints in the SKILL.md itself — no 'add mutation → regenerate schema → run tests → verify' sequence, which is important for operations like adding migrations or modifying the GraphQL schema. | 2 / 3 |
Progressive Disclosure | The skill has a well-structured overview with a clear task-to-reference routing table pointing to four reference files. However, since no bundle files were provided, we cannot verify these references exist or assess their quality. The structure is good in principle but the references are unverifiable, and some content like the Docstrings and Naming sections feel like they could be in a separate style guide reference rather than inline. | 2 / 3 |
Total | 9 / 12 Passed |