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
官方收录技能
质量 优秀 · 90
v1.0.0
获取
https://deepseekmodel.com/api/download.php?id=sanyuan0704-sanyuan-skills-skills-skill-review-skill-md&format=skill
下载 .skill
标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
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)
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该技能未提供触发词。
下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识(skill/v1) |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类(数组) |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接(本页地址) |
| exported_at | 导出时间(每次下载生成) |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数:provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明(Coze / Dify / Claude / 自定义框架) |