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django-pro

Master Django 5.x with async views, DRF, Celery, and Django Channels. Build scalable web applications with proper architecture, testing, and deployment.

31

Quality

25%

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tessl review fix ./skills/django-pro/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

10%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This skill reads as a persona/role description rather than an actionable skill file. It extensively lists Django topics and capabilities Claude already knows without providing any concrete code, commands, or executable guidance. The content is severely bloated with categorical bullet lists that add no instructional value, and the few procedural elements ('Response Approach', 'Instructions') are too abstract to be useful.

Suggestions

Replace the capability/knowledge lists with concrete, executable code examples for the most common Django tasks (e.g., async view setup, DRF serializer patterns, Celery task configuration).

Add specific workflow sequences with validation checkpoints for multi-step operations like database migrations, deployment setup, or Celery integration.

Remove sections that describe what Claude already knows (e.g., 'Behavioral Traits', 'Knowledge Base', generic 'Capabilities' lists) and replace with project-specific conventions, gotchas, or non-obvious patterns.

Move detailed reference material to bundle files (e.g., resources/implementation-playbook.md) and ensure those files actually exist, keeping SKILL.md as a concise overview with clear pointers.

DimensionReasoningScore

Conciseness

Extremely verbose and padded. The vast majority of content is listing capabilities, knowledge areas, and behavioral traits that Claude already knows. Sections like 'Capabilities', 'Knowledge Base', 'Behavioral Traits' are essentially describing what Django development entails rather than providing actionable instructions. The content reads like a persona description, not a skill file.

1 / 5

Actionability

Contains zero executable code, zero concrete commands, and zero specific examples. Everything is abstract description ('Django ORM optimization with select_related, prefetch_related') rather than showing how to do it. The 'Response Approach' section lists vague meta-steps like 'Analyze requirements' without any concrete guidance. Example interactions are just prompts, not worked examples.

1 / 5

Workflow Clarity

The 'Response Approach' section provides a rough 8-step sequence but it's entirely abstract ('Analyze requirements', 'Suggest Django-idiomatic solutions') with no validation checkpoints, no concrete steps, and no feedback loops. The 'Instructions' section has 4 bullet points that are generic platitudes. No workflow for any specific Django task is defined.

2 / 5

Progressive Disclosure

References `resources/implementation-playbook.md` but no bundle files are provided, so we can't verify it exists. The SKILL.md itself is a monolithic wall of bullet-point lists with no meaningful structure separating overview from detail. Hundreds of lines of capability listings are inlined that should either be in a reference file or omitted entirely.

2 / 5

Total

6

/

20

Passed

Description

41%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description names Django and several associated technologies but relies on vague, aspirational language ('master', 'build scalable', 'proper architecture') rather than concrete actions. It completely lacks a 'Use when...' clause, making it difficult for Claude to know when to select this skill over others. The imperative 'Master' and 'Build' voice is also somewhat unusual for a skill description.

Suggestions

Add an explicit 'Use when...' clause with trigger phrases like 'Use when the user asks about Django projects, REST APIs with DRF, background task processing with Celery, or real-time WebSocket communication with Django Channels'.

Replace vague phrases like 'build scalable web applications with proper architecture' with concrete actions such as 'configure Django models and migrations, create serializers and viewsets, set up Celery task queues, implement WebSocket consumers'.

Expand trigger terms to include natural synonyms: 'Django REST Framework', 'background tasks', 'WebSockets', 'Python web framework', 'ORM queries', 'Django migrations'.

DimensionReasoningScore

Specificity

Names the domain (Django) and lists several technologies (async views, DRF, Celery, Django Channels) but the actions are vague — 'build scalable web applications' and 'proper architecture, testing, and deployment' are generic rather than concrete actions like 'configure Celery task queues' or 'implement WebSocket connections'.

3 / 5

Completeness

Has a partial 'what' (build Django apps with listed technologies) but no 'when' clause at all. There is no 'Use when...' or equivalent trigger guidance, and per rubric guidelines, a missing 'Use when' clause caps completeness at 3, but the 'what' itself is also vague, placing this at a 2.

2 / 5

Trigger Term Quality

Includes relevant keywords like 'Django 5.x', 'DRF', 'Celery', 'Django Channels', 'async views' which users might mention. However, it misses natural synonyms and variations like 'Django REST Framework' (spelled out), 'background tasks', 'WebSockets', 'ORM', 'migrations', 'middleware', or 'Python web framework'.

3 / 5

Distinctiveness Conflict Risk

Specifying Django 5.x and specific libraries like DRF and Celery provides some distinctiveness, but the broad phrases 'scalable web applications', 'proper architecture, testing, and deployment' could overlap with any web development skill. It could conflict with general Python, web framework, or deployment skills.

3 / 5

Total

11

/

20

Passed

Validation

90%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

10

/

11

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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