skill-review
Reviews and validates agent skills against best practices. Triggers on "review this skill", "check my skill", "validate skill", "is this skill well-written", or when creating/editing skills.
What this skill does
# Skill Review ## Overview Validates agent skills against the Agent Skills standard and compiled best practices. Reviews structure, frontmatter, description quality, progressive disclosure, and common anti-patterns. ## When to Use - User asks to review or validate a skill - User is creating a new skill and wants feedback - User asks "is this skill well-written?" - User mentions skill quality, best practices, or improvement ## Review Process ### Phase 1: Load References Before reviewing, read: - `references/best-practices.md` — Comprehensive guidelines - `references/checklist.md` — Quick validation checklist ### Phase 2: Identify Target Determine what to review: - **Single skill**: Review `skills/<name>/SKILL.md` and its structure - **All skills**: Audit entire `skills/` directory - **New skill draft**: Review provided content before creation ### Phase 3: Structural Audit Check the skill directory structure: ``` skill-name/ ├── SKILL.md # Required ├── references/ # Optional - loaded docs ├── scripts/ # Optional - executable code └── assets/ # Optional - output files (not loaded) ``` **Verify:** - [ ] SKILL.md exists - [ ] Directory name matches `name` in frontmatter - [ ] References are one level deep (no nested chains) - [ ] Scripts use forward slashes (no Windows paths) - [ ] No extraneous files (README.md, CHANGELOG.md, etc.) - [ ] Script paths in SKILL.md body (`scripts/foo.py`) exist in directory - [ ] If scripts use external binaries, dependencies are documented ### Phase 4: Frontmatter Validation Check YAML frontmatter: ```yaml --- name: skill-name # Required: lowercase, hyphens, ≤64 chars description: >- # Required: ≤1024 chars, third-person What it does. When to use it. --- ``` **Validate:** - [ ] `name`: Lowercase with hyphens only (`[a-z0-9-]`) - [ ] `name`: ≤64 characters - [ ] `name`: No "anthropic" or "claude" in name - [ ] `description`: Non-empty, ≤1024 characters - [ ] `description`: Third-person voice (not "I can" or "You can") - [ ] `description`: Includes what it does AND when to trigger - [ ] `description`: Contains specific trigger phrases ### Phase 5: Description Quality The description is **the** triggering mechanism. Evaluate: **Good descriptions include:** - Specific actions: "Extract text and tables from PDF files" - Trigger phrases: "Use when analyzing Excel files, spreadsheets, or .xlsx" - Synonyms users might say: "tabular data, CSV, workbooks" **Bad descriptions:** - Vague: "Helps with documents" - Generic: "Processes data" - Missing triggers: "Analyzes spreadsheets" (no "when to use") ### Phase 6: Body Analysis Review SKILL.md body content: **Length:** - [ ] Under 500 lines (check with `wc -l`) - [ ] If longer, split into reference files **Progressive Disclosure:** - [ ] Quick start or overview near top - [ ] Details moved to references/ - [ ] Long reference files (>100 lines) have TOC **Token Efficiency:** - [ ] No obvious explanations (Claude already knows) - [ ] Examples over lengthy prose - [ ] Each line justifies its token cost **Degrees of Freedom:** - [ ] High freedom for context-dependent tasks - [ ] Low freedom for fragile/error-prone tasks - [ ] Defaults provided when multiple options exist ### Phase 7: Anti-Pattern Check Scan for common issues: | Anti-Pattern | Look For | |-------------|----------| | Windows paths | `scripts\file.py` instead of `scripts/file.py` | | Nested references | A.md → B.md → C.md chains | | Time-sensitive info | "If before August 2025..." | | Magic numbers | Unexplained values | | Too many options | "You can use X, or Y, or Z..." without default | | Inconsistent terms | Mixing "endpoint"/"URL"/"route" | | User-facing docs | README, CHANGELOG, installation guides | | First/second person descriptions | "I can help" or "You can use" | ### Phase 8: Report Findings Present findings using this format: ``` ## Skill Review: [skill-name] ### Summary [1-2 sentence overall assessment] ### Structure [✓/✗] Directory organization [✓/✗] File presence [✓/✗] Reference depth ### Frontmatter [✓/✗] name validation [✓/✗] description validation ### Description Quality **Score**: [Strong / Adequate / Needs Work] **Issues**: [List specific problems] **Suggested rewrite** (if needed): ```yaml description: >- [Improved description] ``` ### Body Analysis **Line count**: [X] lines **Token efficiency**: [Good / Could trim] **Progressive disclosure**: [✓/✗] ### Anti-Patterns Found - [Issue 1] — Location: `file:line` - [Issue 2] — Location: `file:line` ### Recommendations 1. [Actionable fix] 2. [Actionable fix] ``` ## Quick Review Mode For rapid validation, run through the checklist in `references/checklist.md` and report only failures. ## Resources ### references/best-practices.md Comprehensive guide covering architecture, design principles, writing effective descriptions, bundled resources, workflow patterns, and advanced patterns from production skills. ### references/checklist.md Quick-reference validation checklist for fast reviews.
Related in AI Agents
skill-development
IncludedComprehensive meta-skill for creating, managing, validating, auditing, and distributing Claude Code skills and slash commands (unified in v2.1.3+). Provides skill templates, creation workflows, validation patterns, audit checklists, naming conventions, YAML frontmatter guidance, progressive disclosure examples, and best practices lookup. Use when creating new skills, validating existing skills, auditing skill quality, understanding skill architecture, needing skill templates, learning about YAML frontmatter requirements, progressive disclosure patterns, tool restrictions (allowed-tools), skill composition, skill naming conventions, troubleshooting skill activation issues, creating custom slash commands, configuring command frontmatter, using command arguments ($ARGUMENTS, $1, $2), bash execution in commands, file references in commands, command namespacing, plugin commands, MCP slash commands, Skill tool configuration, or deciding between skills vs slash commands. Delegates to docs-management skill for official documentation.
reprompter
IncludedTransform messy prompts into well-structured, effective prompts — single or multi-agent. Use when: "reprompt", "reprompt this", "clean up this prompt", "structure my prompt", rough text needing XML tags and best practices, "reprompter teams", "repromptception", "run with quality", "smart run", "smart agents", multi-agent tasks, audits, parallel work, anything going to agent teams. Don't use when: simple Q&A, pure chat, immediate execution-only tasks. See "Don't Use When" section for details. Outputs: Structured XML/Markdown prompt, quality score (before/after), optional team brief + per-agent sub-prompts, agent team output files. Success criteria: Single mode quality score ≥ 7/10; Repromptception per-agent prompt quality score 8+/10; all required sections present, actionable and specific.
adaptive-compaction
IncludedAdaptive add-on policy and recovery layer that decides WHEN to compact, prune, snapshot, or fork -- replacing fixed-percent auto-compaction across Claude Code, Codex, and MCP-capable hosts. Trigger on auto-compact timing or damage: "when should I compact", "is it safe to compact now or start a fresh session", "auto-compact fires too early/mid-task", "switching to an unrelated task but the window still has space", "context rot", "answers get worse the longer the session runs", "the agent forgot the plan or my decisions after it summarized", "add a layer on top that manages context without changing the agent", raising autoCompactWindow to give the policy room, or installing/tuning a cross-tool compaction policy or PreCompact hook -- even when "compaction" is never said but the problem is context-window pressure or post-summarization memory loss. Do NOT use to summarize a conversation, build RAG, write a summarization prompt (decides WHEN not HOW), or answer max-context-length trivia.
agent-skill-creator
IncludedCreate cross-platform agent skills from workflow descriptions. Activates when users ask to create an agent, automate a repetitive workflow, create a custom skill, or need advanced agent creation. Triggers on phrases like create agent for, automate workflow, create skill for, every day I have to, daily I need to, turn process into agent, need to automate, create a cross-platform skill, validate this skill, export this skill, migrate this skill. Supports single skills, multi-agent suites, transcript processing, template-based creation, interactive configuration, cross-platform export, and spec validation.
llm-wiki
IncludedUse when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages, maintains cross-references, and keeps a synthesis current. Triggers include "second brain", "Obsidian wiki", "personal knowledge management", "ingest this paper/article/book", "build a research wiki", "compound knowledge", "Memex", or whenever the user wants knowledge to accumulate across sessions instead of being re-derived by RAG on every query.
skill-master
IncludedAgent Skills authoring, evaluation, and optimization. Create, edit, validate, benchmark, and improve skills following the agentskills.io specification. Use when designing SKILL.md files, structuring skill folders (references, scripts, assets), ingesting external documentation into skills, running trigger evals, benchmarking skill quality, optimizing descriptions, or performing blind A/B comparisons. Keywords: agentskills.io, SKILL.md, skill authoring, eval, benchmark, trigger optimization.