Audit websites for accessibility issues and WCAG compliance. Use when checking accessibility, fixing a11y issues, or ensuring WCAG compliance.
日本語の概要は準備中です。原文の説明を表示しています。
Optimize content for search engines with keyword analysis, readability scoring, meta descriptions, and competitor comparison. Use this when users want to improve SEO, optimize blog posts, or analyze content for search performance.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Comprehensive SEO analysis and optimization for content creators and marketers.
To optimize content for SEO, provide a detailed analysis covering keywords, readability, technical SEO, and actionable recommendations.
Examine keyword usage and placement:
Assess the organization and hierarchy:
Calculate readability metrics:
Generate optimized meta elements:
Evaluate comprehensiveness:
Prioritize improvements by impact:
Critical (Fix Immediately):
High Priority:
Medium Priority:
Provide specific, actionable fixes with examples.
# SEO Analysis Report
## Overall Score: X/100
### Target Keywords
- Primary: [keyword] (density: X.X%)
- Secondary: [keyword 1], [keyword 2]
- LSI Keywords Found: [variations]
## Quick Wins (Implement First)
1. [Specific action with exact change needed]
2. [Specific action with exact change needed]
## Keyword Analysis
[Pass] Keyword in title
[Fail] Keyword missing in first 100 words - add to opening paragraph
[Pass] Keyword in 2/5 H2 headings
[Warn] Density: 0.8% (low - aim for 1-2%)
## Readability Metrics
- **Flesch Reading Ease**: XX/100 (Grade level: XX)
- **Average Sentence Length**: XX words
- **Passive Voice**: X%
- **Transition Words**: X%
- **Assessment**: [Good/Needs improvement]
## Meta Information
**Current Meta Title** (X chars): [current title]
**Suggested Meta Title** (XX chars):
`[Optimized title with keyword - 50-60 chars]`
**Current Meta Description**: [current or none]
**Suggested Meta Description** (XXX chars):
`[Compelling 150-160 char description with keyword and CTA]`
**URL Slug**:
Current: `/current-url-slug`
Suggested: `/keyword-rich-slug`
## Content Structure
- **Word Count**: XXXX words ([sufficient/too short] for this topic)
- **Heading Hierarchy**: [assessment]
- **Paragraph Length**: Average XX words [good/too long]
- **Sections**: [list main sections]
## Critical Issues
### 1. [Issue Name]
**Problem**: [Description]
**Impact**: [SEO impact]
**Fix**: [Specific instruction]
**Example**:
Current: [show current problematic text] Improved: [show corrected version]
## High Priority Recommendations
### 1. [Recommendation]
[Specific actionable instruction]
## Content Gaps
Missing subtopics to add:
- **[Subtopic 1]**: [Why it's important] (search volume: XXX)
- **[Subtopic 2]**: [Why it's important]
## Internal Linking Opportunities
- Link to: [page URL] using anchor text: "[keyword phrase]"
- Link from: [this content] to [related page]
## Featured Snippet Opportunity
[If applicable, show how to format content for featured snippet]
Example:
```markdown
## What is [topic]?
[Clear, concise 40-60 word answer]
- Key point 1
- Key point 2
- Key point 3
[If analysis was done]
Time to Implement: X hours Expected Improvement: [Moderate/Significant] ranking boost Priority: [High/Medium/Low]
## Best Practices
- **Prioritize user experience** over keyword stuffing
- **Write for humans first**, optimize for search engines second
- **Provide specific examples**, not vague advice
- **Consider search intent** behind keywords (informational, commercial, transactional)
- **Recommend content additions**, not just optimization
- **Check for E-A-T signals** (author bio, credentials, sources)
- **Suggest schema markup** where relevant (FAQ, How-To, Review)
- **Look for featured snippet opportunities** (definition boxes, lists, tables)
## Example Workflow
**User request**: "Optimize this blog post for 'best project management tools'"
**Analysis**:
1. Check keyword placement - found in title but not H1 (fix needed)
2. Calculate density - 0.5% (too low, needs 8-10 more mentions)
3. Analyze readability - Flesch score 55 (good), but sentences too long
4. Generate meta tags - create compelling meta description
5. Identify gaps - missing "pricing comparison" and "team size recommendations"
6. Find internal links - link to "project management tips" article
7. Suggest featured snippet - format comparison table
8. Provide prioritized action list
---
**Remember**: SEO is about creating valuable, well-optimized content that serves user intent better than competitors.
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概要と使いどころ
Audit websites for accessibility issues and WCAG compliance. Use when checking accessibility, fixing a11y issues, or ensuring WCAG compliance.
日本語の概要は準備中です。原文の説明を表示しています。
Deploy a 2-layer parallel agent hierarchy for large, parallelizable work — big refactors, multi-file migrations, codebase-wide audits, bulk generation. A top-tier commander (Fable or Opus) orchestrates the swarms; the user picks a power level (Max Power / Heavy / Balanced / Economy) that sets the Opus/Sonnet/Haiku model mix per layer. Layer 1 is 3-50+ specialist agents, each with its own full context window; Layer 2 is 2+ sub-agents per member. Includes git safety, tiered sizing, a pre-deploy gate, phantom-completion checks, and multi-wave follow-up.
日本語の概要は準備中です。原文の説明を表示しています。
Use to test whether an AI agent, prompt, or skill actually works before or after it ships — build a small eval set, score runs, and catch regressions when the prompt or model changes. Trigger when the user asks whether a prompt is good, wants to compare models or versions, sees inconsistent agent output, or is about to put an agent in front of customers.
日本語の概要は準備中です。原文の説明を表示しています。
Deploys swarms of sub-agents for massive parallel data processing tasks. Unlike agent-army (which is for code changes), this is for DATA tasks -- processing 1000 documents, analyzing datasets, bulk content generation. Configurable swarm size, task distribution, result aggregation, progress tracking, and error recovery.
日本語の概要は準備中です。原文の説明を表示しています。
Designs and deploys custom agent teams for specific business workflows. Interactive discovery of business processes, then generates complete team configurations with specialized agent roles, tool access, communication protocols, and handoff rules.
日本語の概要は準備中です。原文の説明を表示しています。
Agent-to-Agent (A2A) communication protocol. Connect two or more Claude agents that pass messages, share context, delegate tasks, and collaborate. Implements structured handoffs, shared memory, and multi-agent conversations.
日本語の概要は準備中です。原文の説明を表示しています。