Conciseness

The core template and workflow are efficient, but ~175 of ~355 lines are three full example prompts that near-duplicate the template structure (Objective/Context/Requirements/Success Criteria/TDD/Completion/If Stuck), and the TDD retry steps are re-explained in every example — knowledge Claude already has. This fits 'mostly efficient but includes some unnecessary explanation or could be tightened'; it is not a 2 because everything stays on-topic with no padding about basic concepts, and one to two examples could simply be cut.

Actionability

The skill provides a copy-paste-ready prompt template, concrete verification commands (npm test, pytest, curl, grep, npm run typecheck), a ready-to-run integration command ('/ralph-wiggum:ralph-loop ... --max-iterations 30'), and three worked examples covering the common cases (bug fix, feature, refactor). The placeholders like [test command] are inherent to a generator skill and explicitly justified by the input spec.

Workflow Clarity

The generation workflow is clearly sequenced (analyze task → define criteria → structure prompt → add verification commands), and it closes with an explicit 'Validation Checklist' of checkpoints to run before using a prompt. Feedback loops for error recovery are built into the design (TDD 'if tests fail, analyze and fix; repeat' and the 'If Stuck' section), matching the top anchor exactly.

Progressive Disclosure

There are no bundle files at all; this is a ~355-line monolithic SKILL.md where the three full example prompts clearly belong in a separate examples file. Structure exists (clear headers, final pointers to sibling skills), which lifts it above the 2 anchor, but content that should be split out is inline and the sibling-skill mentions are plain names rather than signaled references — squarely the 'some structure but could be better organized' anchor, not the 'most content appropriately placed' 4.

Specificity

The description lists several concrete capabilities: 'Generate Ralph-compatible prompts', 'clear completion criteria, automatic verification, and TDD approach'. It names the domain and multiple specific attributes of the output, matching the 'several specific actions; minor gaps' anchor. Not 5 because it stays at the level of prompt attributes rather than comprehensively enumerating concrete actions (e.g., no mention of completion promise tags or verification commands), and not 3 because it goes beyond naming just 1-2 actions.

Completeness

It explicitly answers both questions: what ('Creates prompts with clear completion criteria, automatic verification, and TDD approach') and when ('Use when creating prompts for bug fixes, single features, refactoring tasks, or any focused implementation that can be completed in one session'). This matches the top anchor: clear 'what' plus an explicit 'Use when' clause with concrete trigger phrases. Score 4 would require the 'when' to be less explicit, which it is not.

Trigger Term Quality

Natural user phrasing is well covered: 'bug fixes, single features, refactoring tasks', 'focused implementation', plus the distinctive 'Ralph-compatible' keyword a user of this technique would say. A few natural variants are missing (e.g., 'writing a prompt', 'TDD task', 'one-off task'), so it fits the 'good keyword coverage; a few natural terms missing' anchor rather than the comprehensive 5.

Distinctiveness Conflict Risk

The description carves a clear niche (single, one-session implementation tasks, Ralph-compatible format) and names the distinguishing 'Ralph' trigger. However, the body reveals closely related sibling skills (multi-task, project, research prompt generators), so a request like 'generate prompts for this project' could overlap; this fits 'mostly distinct; minor overlap risk with closely related skills' rather than the minimal-conflict 5.