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arn-spark-use-cases-teams

This skill should be used when the user says "use cases teams", "arn use cases teams", "team use cases", "debate use cases", "collaborative use cases", "use cases with debate", "team-based use case review", "use case debate", "review use cases as a team", or wants to create structured use case documents through expert debate where product strategist and UX specialist review and discuss each other's findings before revising, producing a use-cases/ directory with individual Cockburn fully-dressed use case files and a README index.

78

Quality

73%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./plugins/arn-spark/skills/arn-spark-use-cases-teams/SKILL.md
SKILL.md
Quality
Evals
Security

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 strong description that clearly defines what the skill does (structured Cockburn use case generation through expert debate) and when to use it (with extensive trigger phrases). The specificity of the methodology (expert debate between product strategist and UX specialist) and output format (use-cases/ directory with fully-dressed files and README) makes it highly distinctive. The main weakness is that the description is somewhat verbose and front-loads a long list of trigger phrases, which slightly reduces readability.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: creating structured use case documents through expert debate, product strategist and UX specialist reviewing and discussing findings, producing a use-cases/ directory with individual Cockburn fully-dressed use case files and a README index.

3 / 3

Completeness

Clearly answers both 'what' (creates structured Cockburn fully-dressed use case documents through expert debate with product strategist and UX specialist, producing a directory with files and README index) and 'when' (explicit trigger phrases listed at the beginning with 'should be used when').

3 / 3

Trigger Term Quality

Provides extensive natural trigger phrases users would say: 'use cases teams', 'team use cases', 'debate use cases', 'collaborative use cases', 'use case debate', 'review use cases as a team', and several variations. Good coverage of how users might phrase requests.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive with a very specific niche: Cockburn fully-dressed use cases created through a debate process between product strategist and UX specialist. The combination of debate methodology, specific output format, and domain makes it unlikely to conflict with other skills.

3 / 3

Total

12

/

12

Passed

Implementation

47%

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

This skill has excellent workflow clarity with well-defined steps, validation checkpoints, convergence criteria, and error recovery paths. However, it is excessively verbose — the Agent Invocation Guide largely duplicates the workflow steps, and many error handling cases describe situations Claude could handle without explicit instruction. The skill would benefit significantly from condensing repeated information and moving reference tables to separate files.

Suggestions

Reduce the Agent Invocation Guide table to only non-obvious cases (e.g., error recovery, deferrals) — remove entries that simply restate workflow steps like 'Draft all use cases (Step 4)' which adds no new information beyond what Step 4 already says.

Trim the Error Handling section to only genuinely non-obvious failure modes. Cases like 'User cancels mid-process' or 'Product concept is very brief' describe situations Claude can handle with general intelligence.

Move the Agent Invocation Guide and Error Handling sections into a separate reference file (e.g., references/agent-guide.md) to reduce the main SKILL.md to a focused workflow overview.

Add a concrete example of an actual agent invocation prompt (even one) to make the abstract invocation descriptions more actionable and copy-paste ready.

DimensionReasoningScore

Conciseness

The skill is extremely verbose at ~300+ lines with significant repetition. The Agent Invocation Guide table largely restates what was already described in the workflow steps. Error handling covers many edge cases that Claude could infer. The debate mode detection, prerequisites, and configuration sections are overly detailed with information that could be condensed significantly.

1 / 3

Actionability

The skill provides specific file paths, agent names, and step sequences, which is good. However, it contains no executable code examples — the workflow is described procedurally but relies heavily on references to external files (debate-protocol.md, review-report-template.md, use-case-template.md) that are not provided in the bundle. The actual invocation patterns for agents are described abstractly rather than with concrete prompt examples.

2 / 3

Workflow Clarity

The workflow is exceptionally well-sequenced with 8 clearly numbered steps, sub-steps (5a-5e), explicit validation checkpoints (convergence checks), feedback loops (debate rounds with revision), conflict resolution with user input, and a clear task list that gets updated. Resume detection and error recovery are thoroughly addressed.

3 / 3

Progressive Disclosure

The skill references several external files (debate-protocol.md, review-report-template.md, expert-review-template.md, use-case-template.md, use-case-index-template.md, the base SKILL.md for arn-spark-use-cases) which is good progressive disclosure in principle. However, none of these bundle files were provided for evaluation, and the main SKILL.md itself is monolithic — the Agent Invocation Guide and Error Handling sections are very long and could be split into reference files. The inline content is not well-balanced between overview and detail.

2 / 3

Total

8

/

12

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
AppsVortex/arness
Reviewed

Table of Contents

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