scope

Turn ideas into clear, buildable specs for AI tools or stakeholder review. Use when starting features, planning projects, or when AI keeps building the wrong thing. Creates Quick Feature Specs (10-15 min) for immediate AI builds or Full Project Scopes (1-2 hours) for budget planning and contractor estimates.

2.51x

Quality

81%

Does it follow best practices?

Impact

88%

2.51x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Quality

Content

62%

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

This is a reasonably well-structured skill for a process-oriented task (spec writing), with clear checklists and workflow sequencing. Its main weaknesses are moderate verbosity—including motivational content and AI-tool usage tips that don't add value for Claude—and reliance on external files that aren't provided in the bundle. The actionability is decent but leans toward templates and descriptions rather than fully concrete, copy-paste-ready outputs.

Suggestions

Remove the 'When You're Stuck', 'Success Looks Like', and 'Using Your Spec With AI Tools' sections—these are user-facing advice that Claude doesn't need to perform the skill.

Provide the referenced QUICK-SPEC.md and PROJECT-SCOPE.md bundle files, or inline the essential template content so the skill is self-contained.

Add a complete, filled-out example of a Quick Feature Spec (not just the template) so Claude has a concrete reference for the expected output quality and format.

Dimension	Reasoning	Score
Conciseness	The skill includes some unnecessary sections like 'When You're Stuck' advice and 'Success Looks Like' motivational content that don't add actionable value for Claude. The 'Common Mistakes' table and templates are useful but could be tighter. Some sections explain things Claude would already understand (e.g., how to paste specs into AI tools).	2 / 3
Actionability	Provides templates and checklists which are somewhat actionable, but the guidance is more about process/methodology than executable steps. The templates use placeholder patterns rather than fully fleshed-out examples. The skill tells Claude what sections to fill in but relies heavily on external files (QUICK-SPEC.md, PROJECT-SCOPE.md) for the actual complete templates and examples.	2 / 3
Workflow Clarity	Both workflows have clear checklists with explicit progress tracking. The Quick Feature Spec has a well-sequenced 5-section workflow with templates for each section. The Full Project Scope has a 7-section checklist. The sequential nature is clear and the checklists serve as validation checkpoints. For a non-destructive spec-writing task, this level of workflow clarity is appropriate.	3 / 3
Progressive Disclosure	The skill references QUICK-SPEC.md and PROJECT-SCOPE.md appropriately for detailed templates, and the main file serves as an overview. However, no bundle files were provided, so we can't verify these references exist. Additionally, the main file includes substantial inline content (templates, examples, common mistakes, 'when stuck' advice) that could arguably be split out, making the overview heavier than ideal.	2 / 3
	Total	9 / 12 Passed

Description

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 communicates what the skill does, when to use it, and what outputs to expect. It uses third person voice correctly, includes natural trigger terms, and differentiates itself well with specific deliverable types and time estimates. The pain-point trigger 'when AI keeps building the wrong thing' is particularly effective for matching user intent.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions and outputs: 'Turn ideas into clear, buildable specs', 'Creates Quick Feature Specs (10-15 min) for immediate AI builds' and 'Full Project Scopes (1-2 hours) for budget planning and contractor estimates.' These are specific deliverables with time estimates and use cases.	3 / 3
Completeness	Clearly answers both what ('Turn ideas into clear, buildable specs', 'Creates Quick Feature Specs... or Full Project Scopes') and when ('Use when starting features, planning projects, or when AI keeps building the wrong thing'). The 'Use when...' clause is explicit and well-defined.	3 / 3
Trigger Term Quality	Includes strong natural trigger terms users would say: 'specs', 'features', 'planning projects', 'AI keeps building the wrong thing', 'budget planning', 'contractor estimates', 'starting features'. These cover multiple natural ways a user might express the need for this skill.	3 / 3
Distinctiveness Conflict Risk	Occupies a clear niche around spec writing and project scoping specifically for AI tool development and stakeholder review. The two distinct output types (Quick Feature Specs vs Full Project Scopes) and the unique trigger 'AI keeps building the wrong thing' make this highly distinguishable from generic planning or documentation skills.	3 / 3
	Total	12 / 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.

Repository: majiayu000/claude-skill-registry-data
Commit: 5a9e167

Reviewed: about 19 hours ago

Table of Contents

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