python

Backend services development with Python emphasizing security, performance, and maintainability for JARVIS AI Assistant

Quality

53%

Does it follow best practices?

Impact

—

No eval scenarios have been run

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./skills/python/SKILL.md

Quality

Content

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

Description

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

Validation

68%

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 — 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: 4 months ago

Table of Contents

Discovery Implementation Validation

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