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skill-review

Quality review and audit for Claude Code skills. Analyzes skill structure, description quality, workflow design, token efficiency, and anti-patterns against best practices. Use when user wants to review a skill, audit a skill, check skill quality, evaluate a skill, critique a skill, lint a skill, or validate a skill. Triggers: 'review skill', 'audit skill', 'skill quality', 'check my skill', 'evaluate skill', 'skill lint', 'validate skill', 'skill review', 'is this skill good', 'improve this skill'.

DeepseekModel Curated skill Quality Excellent · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=sanyuan0704-sanyuan-skills-skills-skill-review-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
name skill-review description Quality review and audit for Claude Code skills. Analyzes skill structure, description quality, workflow design, token efficiency, and anti-patterns against best practices. Use when user wants to review a skill, audit a skill, check skill quality, evaluate a skill, critique a skill, lint a skill, or validate a skill. Triggers: 'review skill', 'audit skill', 'skill quality', 'check my skill', 'evaluate skill', 'skill lint', 'validate skill', 'skill review', 'is this skill good', 'improve this skill'. Skill Review IRON LAW: Be specific and actionable. Never say "could be improved" without stating exactly what to change and why it matters for model output quality. Workflow Skill Review Progress: - [ ] Step 1: Load Target ⚠️ REQUIRED - [ ] 1.1 Identify skill path - [ ] 1.2 Read SKILL.md and inventory all files - [ ] Step 2: Analyze ⚠️ REQUIRED - [ ] 2.1 Structure compliance - [ ] 2.2 Description quality - [ ] 2.3 Workflow design - [ ] 2.4 Token efficiency - [ ] 2.5 Anti-pattern detection - [ ] Step 3: Report ⚠️ REQUIRED - [ ] 3.1 Strengths (what's done well) - [ ] 3.2 Suggestions (prioritized improvements) Step 1: Load Target ⚠️ REQUIRED Identify the skill to review. Accept: Explicit path: /skill-review path/to/skill Current directory context: if user is already in a skill folder Skill name: search within the workspace for matching skill directory Read the full SKILL.md and list all files in the skill directory. Count SKILL.md line count — this is a key metric. Step 2: Analyze ⚠️ REQUIRED Load references/review-criteria.md for detailed criteria. Evaluate the skill across five dimensions: 2.1 Structure Compliance Questions to answer: Does the directory follow the standard layout (SKILL.md, scripts/, references/, assets/)? Is SKILL.md under 500 lines? Does frontmatter contain only name and description (plus optional allowed-tools , license , metadata )? Are there unnecessary files (README.md, CHANGELOG.md, LICENSE duplicates)? Are references organized by domain with one level of nesting? 2.2 Description Quality Questions to answer: Does the description include concrete trigger keywords and phrases? Does it use keyword bombing (multiple phrasings of the same intent)? Is it self-contained — can a router understand what this skill does without reading the body? Does it avoid putting "When to Use" info in the body instead of the description? Would a user's natural language query match this description? 2.3 Workflow Design Questions to answer: Is there a trackable checklist with copy-paste-friendly format? Are critical steps marked with ⚠️ REQUIRED or ⛔ BLOCKING? Are there confirmation gates before destructive/generative operations? Is the workflow linear and progressive, or does it jump around? Are sub-steps used where complexity demands it? 2.4 Token Efficiency Questions to answer: Is there an Iron Law or core constraint at the top? Does SKILL.md only contain what Claude doesn't already know? Are references loaded progressively (on-demand) rather than all upfront? Are instructions in imperative form (not "You should...")? Are scripts executed rather than loaded into context? Is there redundancy between SKILL.md and reference files? 2.5 Anti-Pattern Detection Check for these known bad patterns: Vague directives ("ensure good quality", "make it better") Placeholder residue (TODO, FIXME, xxx, TBD) Over-specification of things Claude already knows No anti-patterns section (model has no guardrails against lazy defaults) Missing pre-delivery checklist (no concrete verification criteria) Giant monolithic SKILL.md with no reference extraction Instructions that describe WHAT rather than constrain HOW Step 3: Report ⚠️ REQUIRED Output Format Present the review in this order: 1. Strengths — What this skill does well. Be specific: quote the actual lines or patterns that work. Minimum 2 strengths, even for weak skills (find what's salvageable). 2. Suggestions — Improvements sorted by impact (highest first). Each suggestion must include: What : the specific issue found Where : file and location Fix : concrete actionable change (show before/after when helpful) Group suggestions by dimension only if there are many (5+). Otherwise present as a flat prioritized list. Tone Direct, constructive, collegial Lead with genuine strengths — not filler praise Suggestions are opportunities, not failures If the skill is already solid, say so briefly and move on Anti-Patterns for This Skill Giving vague praise ("nice structure!") without quoting what specifically works Listing problems without actionable fixes Reviewing against personal taste rather than the documented principles Suggesting over-engineering for simple skills Flagging missing features that the skill intentionally omits (check if simplicity is the point)
Keywords that activate this skill. Click one to copy it.

This skill does not provide trigger words.

The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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