flask-project-starter
Scaffold a production-ready Flask 3.x application with application factory, Blueprints, SQLAlchemy, JWT auth, and Gunicorn deployment.
84
80%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./backend-python/flask-project-starter/SKILL.mdQuality
Discovery
67%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This description excels at specificity and distinctiveness by naming exact technologies and versions (Flask 3.x, SQLAlchemy, JWT, Gunicorn). However, it lacks an explicit 'Use when...' clause which limits its completeness score, and could benefit from more natural user-facing trigger terms beyond technical jargon.
Suggestions
Add a 'Use when...' clause with trigger scenarios like 'Use when the user wants to create a new Flask project, start a Python web API, or needs a production-ready backend scaffold'
Include natural language variations users might say: 'Python web app', 'REST API', 'backend project', 'web server setup'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions and technologies: 'application factory, Blueprints, SQLAlchemy, JWT auth, and Gunicorn deployment' - these are all concrete, specific components that will be scaffolded. | 3 / 3 |
Completeness | Clearly answers 'what' (scaffold a Flask app with specific components) but lacks an explicit 'Use when...' clause. The 'when' is only implied by the action verb 'Scaffold'. | 2 / 3 |
Trigger Term Quality | Includes good technical terms like 'Flask', 'SQLAlchemy', 'JWT', 'Gunicorn', 'Blueprints' but misses common user variations like 'web app', 'API', 'backend', 'Python web framework', or 'REST API'. | 2 / 3 |
Distinctiveness Conflict Risk | Very specific niche: Flask 3.x with a particular stack (SQLAlchemy, JWT, Gunicorn). Unlikely to conflict with Django, FastAPI, or general Python skills due to explicit Flask focus and version specification. | 3 / 3 |
Total | 10 / 12 Passed |
Implementation
92%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a high-quality, comprehensive Flask scaffolding skill with excellent actionability and conciseness. The code examples are production-ready and follow Flask best practices. The main weakness is the monolithic structure - the skill would benefit from splitting detailed implementations into separate reference files while keeping SKILL.md as a leaner overview.
Suggestions
Consider splitting detailed code patterns (full route implementations, test examples, CLI commands) into separate reference files like PATTERNS.md or EXAMPLES.md, keeping SKILL.md as a concise overview with links
Add a brief validation checkpoint after the scaffold command to verify the directory structure was created correctly before proceeding to database initialization
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is dense with executable code and avoids explaining basic concepts Claude already knows. Every section provides actionable patterns without unnecessary preamble or explanation of what Flask, SQLAlchemy, or JWT are. | 3 / 3 |
Actionability | Fully executable, copy-paste ready code throughout. Complete implementations for factory pattern, blueprints, models, schemas, routes, CLI commands, and tests. All code is production-quality Python, not pseudocode. | 3 / 3 |
Workflow Clarity | Clear sequenced steps in 'First Steps After Scaffold' section with numbered workflow. Common commands section provides explicit validation steps (migrations, tests, lint). The scaffold command section shows the complete initialization sequence. | 3 / 3 |
Progressive Disclosure | Content is well-organized with clear sections, but it's a monolithic document with ~400 lines of code. Some content (like full route implementations, test examples) could be split into referenced files for better navigation. No external file references are provided. | 2 / 3 |
Total | 11 / 12 Passed |
Validation
81%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 9 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
skill_md_line_count | SKILL.md is long (508 lines); consider splitting into references/ and linking | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 9 / 11 Passed | |
- Repository
- achreftlili/deep-dev-skills
- Commit
181fcbc
- Reviewed
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