031-architecture-adr-functional-requirements
Facilitates conversational discovery to create Architectural Decision Records (ADRs) for functional requirements covering CLI, REST/HTTP APIs, or both. Use when the user wants to document command-line or HTTP service architecture, capture functional requirements, create ADRs for CLI or API projects, or design interfaces with documented decisions. Part of the skills-for-java project
90
87%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Quality
Discovery
89%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-structured description with explicit 'Use when' guidance and good trigger term coverage for its specific domain. The main weakness is that the capabilities could be more concrete - it describes the general purpose but not the specific actions or outputs the skill produces. The description successfully carves out a distinct niche for ADR creation in CLI/API contexts.
Suggestions
Add specific concrete actions like 'generates ADR templates', 'captures design trade-offs', 'documents API endpoints' to improve specificity
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (ADRs, CLI, REST/HTTP APIs) and describes the general action ('conversational discovery to create ADRs'), but doesn't list multiple concrete specific actions like 'generate templates', 'capture trade-offs', or 'format markdown'. | 2 / 3 |
Completeness | Clearly answers both what ('Facilitates conversational discovery to create ADRs for functional requirements') and when ('Use when the user wants to document command-line or HTTP service architecture, capture functional requirements, create ADRs...'). Has explicit 'Use when' clause with multiple trigger scenarios. | 3 / 3 |
Trigger Term Quality | Good coverage of natural terms users would say: 'ADRs', 'Architectural Decision Records', 'CLI', 'REST', 'HTTP APIs', 'functional requirements', 'command-line', 'architecture', 'design interfaces'. These are terms users would naturally use when needing this skill. | 3 / 3 |
Distinctiveness Conflict Risk | Clear niche combining ADRs specifically with CLI/REST API architecture. The combination of 'ADR' + 'CLI or API projects' + 'functional requirements' creates a distinct trigger profile unlikely to conflict with general documentation or coding skills. | 3 / 3 |
Total | 11 / 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 well-structured skill with excellent conciseness and clear workflow sequencing including validation checkpoints. The progressive disclosure is appropriate with a clean reference to detailed guidance. The main weakness is that actionability relies heavily on the external reference file, leaving the main skill somewhat abstract without concrete examples of questions or sample outputs.
Suggestions
Add 2-3 example discovery questions for each phase (surface discovery, context, requirements) to make the skill more immediately actionable
Include a brief example of what a completed ADR section looks like to clarify expected output format
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient, avoiding unnecessary explanations. It assumes Claude understands ADRs, REST APIs, and CLIs without defining them. Every section serves a clear purpose. | 3 / 3 |
Actionability | Provides clear constraints and behavioral rules (ask 1-2 questions, validate before proceeding), but lacks concrete examples of questions to ask, sample conversation flows, or example ADR output structure. The actionable details are deferred to the reference file. | 2 / 3 |
Workflow Clarity | The workflow is clearly sequenced: run date → surface discovery → context gathering → requirements → decisions → validation → confirmation → ADR generation. Explicit validation checkpoint ('Does this accurately capture...') and confirmation gate before proceeding are well-defined. | 3 / 3 |
Progressive Disclosure | Excellent structure with a concise overview in the main skill and a single, clearly signaled reference file for detailed guidance. One level deep, easy navigation, appropriate content split. | 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.
- Repository
- jabrena/cursor-rules-java
- Commit
7772a1b
- Reviewed
Table of Contents
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