validate-plugin
Validate a Claude Code plugin directory against the official Anthropic spec and Intent Solutions enterprise standard. Runs structural validation (plugin.json fields, file references, permissions) and content validation (SKILL.md grading, command/agent frontmatter). Use when building a new plugin, preparing for marketplace submission, or auditing existing plugins. Trigger with "validate this plugin", "check plugin structure", "grade my plugin", "/validate-plugin".
What this skill does
# Validate Plugin Full plugin directory validator combining structural checks and content grading. ## Overview Runs the complete validation pipeline against any plugin directory: 1. `validate-all-plugins.sh` for structural validation (plugin.json, file refs, permissions) 2. `validate-skills-schema.py` for content validation with 100-point grading ## Prerequisites - Python 3 with `pyyaml` installed - `jq` available on PATH - Run from the claude-code-plugins repository root ## Instructions 1. Identify the target plugin directory (must contain `.claude-plugin/plugin.json`) 2. Run structural validation: ```bash ./scripts/validate-all-plugins.sh <plugin-directory> ``` 3. Run content validation on any SKILL.md files found: ```bash python3 scripts/validate-skills-schema.py --verbose <path-to-SKILL.md> ``` 4. If the plugin has commands or agents, validate those too: ```bash python3 scripts/validate-skills-schema.py --verbose ``` 5. Report the combined results with per-skill 100-point grades ## Output Present results in this format: **Structural Validation:** - plugin.json: PASS/FAIL (list any invalid fields) - File references: PASS/FAIL - Script permissions: PASS/FAIL **Content Validation (per SKILL.md):** - Grade: A-F (score/100) - Errors: list - Warnings: list **Summary:** - Total errors / warnings - Overall verdict: PASS or FAIL ## Error Handling - If plugin directory doesn't exist, report and exit - If plugin.json is missing, report as structural failure - If Python or jq not available, report as environment issue - Continue validating remaining files even if one fails ## Examples **Example 1: Validate a specific plugin** ``` /validate-plugin plugins/skill-enhancers/skill-creator/ ``` **Example 2: Validate current directory** ``` validate this plugin ``` ## Resources - [Anthropic Plugins Reference](https://code.claude.com/docs/en/plugins-reference) - [Anthropic Skills Spec](https://code.claude.com/docs/en/slash-commands)
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
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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
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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.