# Avoid AI Writing

> Audit and rewrite content to remove 21 categories of AI writing patterns with a 43-entry replacement table

- Skill: `techwavedev/avoid-ai-writing` (Agent Skill)
- Install (CLI): `npx skillmds@latest add techwavedev/avoid-ai-writing`
- Raw SKILL.md: https://api.skillmd.com/api/skills/techwavedev/avoid-ai-writing/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Security
- Author: techwavedev (https://skillmd.com/u/techwavedev)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/techwavedev/avoid-ai-writing

---


# Avoid AI Writing — Audit & Rewrite

Detects and fixes AI writing patterns ("AI-isms") that make text sound machine-generated. Covers 21 pattern categories with a 43-entry word/phrase replacement table that maps each flagged term to a specific, plainer alternative.

## When to Use This Skill

- When asked to "remove AI-isms," "clean up AI writing," or "make this sound less like AI"
- After drafting content with AI and before publishing
- When editing any text that sounds like it was generated rather than written
- When auditing documentation, blog posts, marketing copy, or internal communications for AI tells

## What It Detects

**21 pattern categories:** formatting issues (em dashes, bold overuse, emoji headers, bullet-heavy sections), sentence structure problems (hedging, hollow intensifiers, rule of three), word/phrase replacements (43 entries like leverage→use, utilize→use, robust→reliable), template phrases, transition phrases, structural issues, significance inflation, copula avoidance, synonym cycling, vague attributions, filler phrases, generic conclusions, chatbot artifacts, notability name-dropping, superficial -ing analyses, promotional language, formulaic challenges, false ranges, inline-header lists, title case headings, and cutoff disclaimers.

## Example

**Prompt:**
```
Audit this for AI writing patterns:

"In today's rapidly evolving AI landscape, developers are embarking on a pivotal journey to leverage cutting-edge tools that streamline their workflows. Moreover, these robust solutions serve as a testament to the industry's commitment to fostering seamless experiences."
```

**Output:** The skill returns four sections:
1. **Issues found** — every AI-ism quoted (landscape, embarking, pivotal, leverage, cutting-edge, streamline, robust, serves as, testament to, fostering, seamless, Moreover, In today's rapidly evolving...)
2. **Rewritten version** — "Developers are starting to use newer AI tools to simplify their work. These tools are reliable, and they're making development less painful."
3. **What changed** — summary of edits
4. **Second-pass audit** — re-reads the rewrite to catch any surviving tells

## Limitations

- Does not detect AI-generated code, only prose
- Pattern matching is guideline-based, not absolute — some flagged words are fine in context
- The replacement table suggests alternatives but the best choice depends on context
- Cannot verify factual claims or find real citations to replace vague attributions

---

<!-- 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

Cache compliance check results to avoid re-running expensive AWS API calls. Retrieve prior audit findings to track remediation progress across sessions.

```bash
# Check for prior security context before starting
python3 execution/memory_manager.py auto --query "prior security audit results for Avoid Ai Writing"
```

### Storing Results

After completing work, store security decisions for future sessions:

```bash
python3 execution/memory_manager.py store \
  --content "Audit findings: 3 critical IAM misconfigurations found and remediated" \
  --type technical --project <project> \
  --tags avoid-ai-writing security
```

### Multi-Agent Collaboration

Share security findings with other agents so they avoid introducing vulnerabilities in their code changes.

```bash
python3 execution/cross_agent_context.py store \
  --agent "<your-agent>" \
  --action "Completed security audit — 3 critical findings fixed, compliance score 94%" \
  --project <project>
```

### Signed Audit Trail

All security findings are cryptographically signed with the agent's Ed25519 identity, providing tamper-proof audit logs for compliance reporting.

### Semantic Cache for Compliance

Cache compliance check results (`semantic_cache.py`) to avoid redundant AWS API calls. Cache hit at similarity >0.92 returns prior results instantly.

<!-- AGI-INTEGRATION-END -->