This is an excellent skill description that hits all the marks. It provides specific concrete actions, includes natural trigger terms users would actually say, explicitly answers both what and when, and carves out a distinct niche that won't conflict with other skills. The description is comprehensive yet concise.

Dimension	Reasoning	Score
Specificity	Lists multiple specific concrete actions: 'auto-detects the most recent artifact', 'asks targeted questions with option tables', 'writes answers back into the artifact's Clarifications section'. Also enumerates specific artifact types (spec, plan, checklist, testify, tasks, constitution).	3 / 3
Completeness	Clearly answers both what ('Resolve ambiguities...auto-detects...asks targeted questions...writes answers back') AND when with explicit 'Use when' clause covering six specific trigger scenarios.	3 / 3
Trigger Term Quality	Includes natural trigger terms users would say: 'requirements are unclear', 'trade-off gaps', 'thresholds feel wrong', 'scenarios are imprecise', 'dependencies seem off', 'principles are vague'. Also mentions specific artifact types as keywords.	3 / 3
Distinctiveness Conflict Risk	Highly distinctive with a clear niche: resolving ambiguities specifically in project artifacts with a defined workflow (detect artifact → ask questions → write to Clarifications section). The specific artifact types and 'Clarifications section' make it unlikely to conflict with other 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 well-crafted skill with excellent actionability and workflow clarity. The multi-step process is clearly sequenced with validation checkpoints, and external references are appropriately organized. Minor verbosity from repeated Windows command alternatives and some redundant explanations prevent a perfect conciseness score.

Suggestions

Consider consolidating Windows command alternatives into a single reference note or table at the top rather than repeating the pattern for each command

The target detection section could combine the argument mapping table and auto-detection list into a single unified reference to reduce duplication

Dimension	Reasoning	Score
Conciseness	The skill is reasonably efficient but includes some redundant explanations (e.g., the detailed Windows alternatives for every command could be consolidated). The structure is good but could be tightened in places like the target detection table which duplicates information.	2 / 3
Actionability	Provides fully executable bash/powershell commands, specific file paths, concrete tables for argument mapping, and clear step-by-step procedures. The commands are copy-paste ready with actual script paths.	3 / 3
Workflow Clarity	Excellent multi-step workflow with clear sequencing (Prerequisites → Target Detection → Scan → Question → Integrate → Validate → Report). Includes explicit validation steps ('Save artifact after each integration'), error handling ('If no clarifiable artifact exists: ERROR'), and feedback loops for the questioning process.	3 / 3
Progressive Disclosure	Well-structured with clear references to external files (ambiguity-taxonomies.md, conversation-guide.md, clarification-format.md, model-recommendations.md, constitution-loading.md). References are one level deep and clearly signaled with descriptive link text.	3 / 3
	Total	11 / 12 Passed

Validation

100%

Warnings & errors only

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.