python
Backend services development with Python emphasizing security, performance, and maintainability for JARVIS AI Assistant
65
53%
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 ./skills/python/SKILL.mdQuality
Discovery
22%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 is too vague and lacks actionable specificity. It fails to list concrete capabilities (what specific backend tasks it handles) and completely omits trigger guidance for when Claude should use this skill. The mention of quality attributes (security, performance, maintainability) is aspirational rather than descriptive of actual functionality.
Suggestions
Add specific concrete actions like 'Create REST APIs, implement authentication, manage database connections, handle async tasks'
Include a 'Use when...' clause with trigger terms such as 'API development', 'server-side code', 'FastAPI', 'Flask', 'database queries', 'backend logic'
Add natural keywords users would say: 'API', 'REST', 'endpoints', 'server', 'database', 'authentication', 'middleware'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description uses vague language like 'emphasizing security, performance, and maintainability' without listing any concrete actions. It doesn't specify what operations can be performed (e.g., create APIs, handle authentication, manage databases). | 1 / 3 |
Completeness | The 'what' is vaguely stated as 'backend services development' without specifics, and there is no 'Use when...' clause or any explicit trigger guidance for when Claude should select this skill. | 1 / 3 |
Trigger Term Quality | Contains some relevant keywords ('Backend', 'Python', 'services') but misses common variations users might say like 'API', 'server', 'REST', 'endpoints', 'database', or specific framework names. | 2 / 3 |
Distinctiveness Conflict Risk | The mention of 'JARVIS AI Assistant' provides some project-specific context, but 'backend services development with Python' is broad enough to potentially conflict with other Python or web development skills. | 2 / 3 |
Total | 6 / 12 Passed |
Implementation
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a strong, well-organized skill with excellent actionability through executable code examples and clear TDD workflow. The progressive disclosure is well-implemented with appropriate references to detailed materials. Minor verbosity in meta-sections (validation gates, file organization explanation) slightly reduces token efficiency without adding operational value.
Suggestions
Remove or minimize the 'Validation Gates' table and 'File Organization' section - these are meta-information that don't help Claude execute tasks
Condense the Overview section - Claude doesn't need explanation of why Python backend services are high-risk; jump directly to core expertise areas
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is generally efficient but includes some unnecessary elements like the validation gates table and meta-information about file organization that don't directly help Claude execute tasks. Some sections could be tightened (e.g., the overview explaining what Python backend services handle). | 2 / 3 |
Actionability | Excellent executable code examples throughout - Pydantic validators, Argon2 password hashing, SQLAlchemy queries, subprocess handling, and pytest tests are all copy-paste ready. The TDD workflow provides concrete step-by-step implementation guidance with real code. | 3 / 3 |
Workflow Clarity | Clear multi-step TDD workflow with explicit validation checkpoints (Step 4 verification commands). The pre-deployment checklist provides explicit phases with validation gates. Security testing commands are clearly sequenced with pass/fail criteria. | 3 / 3 |
Progressive Disclosure | Well-structured with clear overview sections and explicit one-level-deep references to detailed materials (references/security-examples.md, references/advanced-patterns.md, references/threat-model.md). Navigation is clearly signaled with '> See X for Y' patterns. | 3 / 3 |
Total | 11 / 12 Passed |
Validation
68%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 16 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
skill_md_line_count | SKILL.md is long (501 lines); consider splitting into references/ and linking | Warning |
description_trigger_hint | Description may be missing an explicit 'when to use' trigger hint (e.g., 'Use when...') | Warning |
metadata_version | 'metadata' field is not a dictionary | Warning |
license_field | 'license' field is missing | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 11 / 16 Passed | |
- Repository
- martinholovsky/claude-skills-generator
- Commit
1086ef2
- Reviewed
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