Audit and prepare a Django codebase for parallel multi-agent development. Use when asked to check if a Django project is ready for parallelization, prepare a repo for multi-agent work, audit codebase structure, set up orchestration infrastructure, or identify blockers for parallel development. Analyzes Django apps, models, migrations, and module boundaries.
93
92%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Quality
Discovery
100%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 is a well-crafted skill description that excels across all dimensions. It clearly specifies concrete actions, includes an explicit 'Use when...' clause with multiple natural trigger scenarios, and targets a distinct niche (Django + multi-agent parallelization) that minimizes conflict risk with other skills.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'Audit and prepare', 'check if ready for parallelization', 'prepare repo', 'audit codebase structure', 'set up orchestration infrastructure', 'identify blockers', and 'Analyzes Django apps, models, migrations, and module boundaries'. | 3 / 3 |
Completeness | Clearly answers both what ('Audit and prepare a Django codebase for parallel multi-agent development', 'Analyzes Django apps, models, migrations') AND when with explicit 'Use when...' clause listing five specific trigger scenarios. | 3 / 3 |
Trigger Term Quality | Includes natural keywords users would say: 'Django', 'parallelization', 'multi-agent', 'audit', 'codebase', 'repo', 'orchestration', 'parallel development', 'migrations', 'module boundaries'. Good coverage of domain-specific terms. | 3 / 3 |
Distinctiveness Conflict Risk | Highly specific niche combining Django + multi-agent/parallel development + auditing. The combination of 'Django', 'multi-agent', and 'parallelization' creates a distinct trigger profile unlikely to conflict with general Django or general code review skills. | 3 / 3 |
Total | 12 / 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-structured skill that provides actionable guidance for Django parallelization assessment. The workflow is clear with explicit scoring criteria and output formats. Minor verbosity in the dimension descriptions could be tightened, but overall the skill effectively balances comprehensiveness with usability.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is reasonably efficient but includes some redundancy (e.g., detection commands repeated across dimensions, verbose scoring tables). Some sections like 'Red flags' and 'Check for' could be consolidated. | 2 / 3 |
Actionability | Provides fully executable bash commands for detection, concrete directory structures, specific grep patterns, and copy-paste ready analysis commands. The automated script reference and remediation actions are concrete and actionable. | 3 / 3 |
Workflow Clarity | Clear 5-step quick start sequence, explicit validation through scoring dimensions, and well-defined output format. The remediation section distinguishes 'Quick Fixes (Do Immediately)' from 'Structural Fixes (Plan Required)' providing clear sequencing. | 3 / 3 |
Progressive Disclosure | Well-structured with clear overview, references to external files (references/analyze-readiness.py, references/remediation-checklist.md, references/infrastructure-setup.md), and logical section organization. Content is appropriately split between inline guidance and referenced materials. | 3 / 3 |
Total | 11 / 12 Passed |
Validation
100%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 / 11 Passed
Validation for skill structure
No warnings or errors.
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