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skill-creator-pro

Create new skills, modify and improve existing skills, and measure skill performance. Enhanced version with quick commands. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy. Triggers on phrases like "make a skill", "create a new skill", "build a skill for", "improve this skill", "optimize my skill", "test my skill", "turn this into a skill", "skill description optimization", or "help me create a skill".

72

Quality

88%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

77%

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

A comprehensive, well-sequenced workflow with strong actionability and clear gates, but it is verbose beyond its own conciseness guidance and references three agent files that are missing from the bundle. Tightening the prose and either adding the agents/ files or removing those references would lift the weakest dimensions.

Suggestions

Trim chatty asides (e.g. "Cool? Cool.", the plumbers/grandparents anecdote, "billions a year in economic value") and the repeated restatements of the core loop; the body runs ~660 lines against its own 500-line target.

Resolve the missing agents/ references: either add agents/grader.md, agents/comparator.md, and agents/analyzer.md to the bundle, or point those mentions at the existing references/ files / inline the guidance.

Move the ~120-line Plugin Integration Check section into a references file (e.g. references/plugin_integration.md) and summarize it from SKILL.md to better honor progressive disclosure.

DimensionReasoningScore

Conciseness

The body is genuinely actionable but padded with chatty asides ("Cool? Cool.", "plumbers to open up their terminals, parents and grandparents to google 'how to install npm'", "billions a year in economic value here!") and repeats the core loop multiple times, and at ~660 lines it exceeds the skill's own 500-line guidance. Not 3 because it is not lean; not 1 because it does not explain concepts Claude already knows and the core content earns its place.

2 / 3

Actionability

Provides concrete, copy-paste-ready commands ("python -m scripts.aggregate_benchmark <workspace>/iteration-N --skill-name <name>", "python -m scripts.run_loop --eval-set ...", "nohup python <skill-creator-path>/eval-viewer/generate_review.py ...") plus concrete JSON shapes for evals.json, eval_metadata.json, timing.json, grading.json, and feedback.json.

3 / 3

Workflow Clarity

Six phases are explicitly sequenced with gates between them ("Gate: All required questions answered...", "Gate: Design decisions clear"), Phase 4 is broken into numbered Steps 1-5 with timing-capture and grading checkpoints, and the iteration loop has explicit termination conditions plus a checklist (quick_checklist.md).

3 / 3

Progressive Disclosure

References are one level deep and well-signaled with "read X when Y" guidance, but three referenced files do not exist (agents/grader.md, agents/comparator.md, agents/analyzer.md — the agents/ directory is absent), and at ~660 lines the body exceeds its own 500-line split target, with the ~120-line Plugin Integration Check section inlined where a reference would fit. Not 3 because content is not appropriately split and navigation breaks for the missing agents/ files.

2 / 3

Total

10

/

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.

A strong, well-formed description that clearly states capabilities, gives an explicit Use-when clause, and lists natural trigger phrases a user would actually say. The only soft spot is the legacy "Enhanced version with quick commands" filler, which adds nothing for triggering.

DimensionReasoningScore

Specificity

Lists multiple concrete actions ("Create new skills, modify and improve existing skills", "run evals to test a skill", "benchmark skill performance with variance analysis", "optimize a skill's description for better triggering accuracy"), matching the anchor for listing several specific concrete actions.

3 / 3

Completeness

Explicitly answers both what ("Create new skills, modify and improve existing skills, and measure skill performance") and when ("Use when users want to create a skill from scratch, update or optimize an existing skill, run evals...") with an explicit Use-when clause and trigger phrases.

3 / 3

Trigger Term Quality

Includes natural phrases a user would actually say ("make a skill", "create a new skill", "build a skill for", "improve this skill", "test my skill", "turn this into a skill"), giving good coverage of casual and formal variations.

3 / 3

Distinctiveness Conflict Risk

Occupies a clear niche (skill authoring, testing, and description optimization) with distinct trigger phrases unlikely to collide with most other skills; not below 3 since triggers are specific, and the minor "Enhanced version with quick commands" fluff does not broaden the triggering surface.

3 / 3

Total

12

/

12

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

skill_md_line_count

SKILL.md is long (667 lines); consider splitting into references/ and linking

Warning

Total

15

/

16

Passed

Repository
libukai/awesome-agent-skills
Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.