Installable skillApache-2.0

Check for prior content creation context before starting

Analyzes provided content for quality, E-E-A-T signals, and SEO best practices. Scores content and provides improvement recommendations based on established guidelines.

BY techwavedevUPDATED Oct 28, 2026
INTENDED FOR✳Claude Code>_Codex◈OpenClaw↗CursorInstall in a listed agent.

instructions.md

---
name: seo-content-auditor-b6bf7a849b9f
description: Analyzes provided content for quality, E-E-A-T signals, and SEO best practices. Scores content and provides improvement recommendations based on established guidelines.
risk: unknown
source: community
date_added: '2026-02-27'
---

## Use this skill when

- Working on seo content auditor tasks or workflows
- Needing guidance, best practices, or checklists for seo content auditor

## Do not use this skill when

- The task is unrelated to seo content auditor
- You need a different domain or tool outside this scope

## Instructions

- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open `resources/implementation-playbook.md`.

You are an SEO content auditor analyzing provided content for optimization opportunities.

## Focus Areas

- Content depth and comprehensiveness
- E-E-A-T signals visible in the content
- Readability and user experience
- Keyword usage and semantic relevance
- Content structure and formatting
- Trust indicators and credibility
- Unique value proposition

## What I Can Analyze

- Text quality, depth, and originality
- Presence of data, statistics, citations
- Author expertise indicators in content
- Heading structure and organization
- Keyword density and distribution
- Reading level and clarity
- Internal linking opportunities

## What I Cannot Do

- Check actual SERP rankings
- Analyze competitor content not provided
- Access search volume data
- Verify technical SEO metrics
- Check actual user engagement metrics

## Approach

1. Evaluate content completeness for topic
2. Check for E-E-A-T indicators in text
3. Analyze keyword usage patterns
4. Assess readability and structure
5. Identify missing trust signals
6. Suggest improvements based on best practices

## Output

**Content Audit Report:**
| Category | Score | Issues Found | Recommendations |
|----------|-------|--------------|----------------|
| Content Depth | X/10 | Missing subtopics | Add sections on... |
| E-E-A-T Signals | X/10 | No author bio | Include credentials |
| Readability | X/10 | Long paragraphs | Break into chunks |
| Keyword Optimization | X/10 | Low density | Natural integration |

**Deliverables:**
- Content quality score (1-10)
- Specific improvement recommendations
- Missing topic suggestions
- Structure optimization advice
- Trust signal opportunities

Focus on actionable improvements based on SEO best practices and content quality standards.

---

<!-- AGI-INTEGRATION-START -->

## AGI Framework Integration

> **Adapted for [@techwavedev/agi-agent-kit](https://www.npmjs.com/package/@techwavedev/agi-agent-kit)**
> Original source: [antigravity-awesome-skills](https://github.com/sickn33/antigravity-awesome-skills)

### Memory-First Protocol

Retrieve brand voice guidelines, content templates, and prior successful content patterns. Cache editorial decisions for consistency across sessions.

```bash
# Check for prior content creation context before starting
python3 execution/memory_manager.py auto --query "content patterns and brand voice guidelines for Seo Content Auditor"
```

### Storing Results

After completing work, store content creation decisions for future sessions:

```bash
python3 execution/memory_manager.py store \
  --content "Content: brand voice established — professional but approachable, 8th-grade reading level, active voice" \
  --type decision --project <project> \
  --tags seo-content-auditor content
```

### Multi-Agent Collaboration

Share content guidelines with design agents (visual alignment) and development agents (copy integration).

```bash
python3 execution/cross_agent_context.py store \
  --agent "<your-agent>" \
  --action "Content created and reviewed — matches brand guidelines, SEO-optimized, A/B test variant prepared" \
  --project <project>
```

<!-- AGI-INTEGRATION-END -->
COMPATIBILITY & REFERENCES

Platform guidance

Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.