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enhance-docs

Use when improving documentation structure, accuracy, and RAG readiness.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
604
Hot score
99
Updated
March 20, 2026
Overall rating
C3.7
Composite score
3.7
Best-practice grade
S96.0

Install command

npx @skill-hub/cli install agent-sh-agentsys-enhance-docs

Repository

agent-sh/agentsys

Skill path: .kiro/skills/enhance-docs

Use when improving documentation structure, accuracy, and RAG readiness.

Open repository

Best for

Primary workflow: Write Technical Docs.

Technical facets: Full Stack, Data / AI, Tech Writer.

Target audience: everyone.

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: agent-sh.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install enhance-docs into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/agent-sh/agentsys before adding enhance-docs to shared team environments
  • Use enhance-docs for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

Original source / Raw SKILL.md

---
name: enhance-docs
description: "Use when improving documentation structure, accuracy, and RAG readiness."
version: 5.1.0
argument-hint: "[path] [--fix] [--ai]"
---

# enhance-docs

Analyze documentation for readability, structure, and RAG optimization.

## Parse Arguments

```javascript
const args = '$ARGUMENTS'.split(' ').filter(Boolean);
const targetPath = args.find(a => !a.startsWith('--')) || '.';
const fix = args.includes('--fix');
const aiMode = args.includes('--ai');
```

## Documentation Locations

| Type | Location | Purpose |
|------|----------|---------|
| User docs | `docs/*.md`, `README.md` | Human-readable guides |
| Agent docs | `agent-docs/*.md` | AI reference material |
| Project memory | `CLAUDE.md`, `AGENTS.md` | AI context/instructions |

## Optimization Modes

### AI-Only Mode (`--ai`)
For agent-docs and RAG-optimized documentation:
- Aggressive token reduction
- Dense information packing
- Self-contained sections for retrieval
- Optimal chunking boundaries

### Both Mode (`--both`, default)
For user-facing documentation:
- Balance readability with AI-friendliness
- Clear structure for both humans and retrievers

## Workflow

1. **Discover** - Find all .md files
2. **Parse** - Extract structure and content
3. **Check** - Run pattern checks based on mode
4. **Report** - Generate markdown output
5. **Fix** - Apply auto-fixes if --fix

## Detection Patterns

### 1. Link Validation (HIGH)

- Broken anchor links (`[text](#missing-anchor)`)
- Links to non-existent files
- Malformed link syntax

### 2. Structure Validation (HIGH)

**Heading hierarchy:**
- No jumps (H1 → H3 without H2)
- Single H1 per document
- Code blocks with language tags

**Position-aware content** (based on "lost in the middle" research):
- Critical info at START or END of document
- Supporting details in MIDDLE
- Flag important content buried in middle sections

**Recommended structure:**
```
1. Overview/Purpose (START - high attention)
2. Quick Start / TL;DR
3. Detailed Content
4. Reference / API
5. Summary / Key Points (END - high attention)
```

### 3. Token Efficiency (HIGH - AI Mode)

**Token estimation:** `characters / 4` or `words * 1.3`

**Unnecessary prose:**
- "In this document..."
- "As you can see..."
- "Let's explore..."
- "It's important to note that..."

**Verbose phrases:**
| Verbose | Concise |
|---------|---------|
| "in order to" | "to" |
| "due to the fact that" | "because" |
| "has the ability to" | "can" |
| "at this point in time" | "now" |
| "for the purpose of" | "for" |
| "in the event that" | "if" |

**Target:** ~1500 tokens for project memory files, flexible for reference docs.

### 4. RAG Optimization (MEDIUM - AI Mode)

**Chunk size guidelines:**
| Size | Issue |
|------|-------|
| >1000 tokens | Too long, split into subtopics |
| <50 tokens | Too short, merge with related content |
| 200-500 tokens | Optimal for retrieval |

**Semantic boundaries:**
- Single topic per section
- Self-contained sections (avoid "It", "This" at section start)
- Clear section titles that describe content

**Context anchors:**
```markdown
# Bad - ambiguous start
## Configuration
It requires several settings...

# Good - self-contained
## Configuration
The plugin configuration requires several settings...
```

### 5. Information Density (MEDIUM - AI Mode)

**Prefer tables over prose:**
```markdown
# Bad - verbose
The function accepts a path parameter which is required,
a limit parameter which defaults to 10, and an optional
format parameter.

# Good - dense
| Param | Required | Default | Description |
|-------|----------|---------|-------------|
| path | Yes | - | File path |
| limit | No | 10 | Max results |
| format | No | json | Output format |
```

**Prefer lists over paragraphs** for sequential items.

**Use code blocks** for examples, commands, configurations.

### 6. Cross-Reference Quality (MEDIUM)

- Internal links should use relative paths
- External links should be stable (avoid commit hashes)
- Reference sections should point to canonical sources

### 7. Balance Suggestions (MEDIUM - Both Mode)

- Missing section headers in long content (>500 words without heading)
- Important information buried late in document
- Missing TL;DR or summary for long documents

## Auto-Fixes

| Issue | Fix |
|-------|-----|
| Inconsistent headings | H1 → H3 becomes H1 → H2 |
| Verbose phrases | Replace with concise alternatives |
| Missing code language | Add based on content detection |

## Output Format

```markdown
## Documentation Analysis: {name}

**File**: {path}
**Mode**: {AI-only | Both}
**Tokens**: ~{count}

| Certainty | Count |
|-----------|-------|
| HIGH | {n} |
| MEDIUM | {n} |

### Link Issues
| Line | Issue | Fix | Certainty |

### Structure Issues
| Line | Issue | Fix | Certainty |

### Efficiency Issues [AI mode]
| Line | Issue | Fix | Certainty |

### RAG Issues [AI mode]
| Line | Issue | Fix | Certainty |
```

## Pattern Statistics

| Category | Patterns | Mode | Certainty |
|----------|----------|------|-----------|
| Links | 3 | shared | HIGH |
| Structure | 4 | shared | HIGH |
| Token Efficiency | 3 | ai | HIGH |
| RAG Optimization | 3 | ai | MEDIUM |
| Information Density | 2 | ai | MEDIUM |
| Cross-Reference | 2 | shared | MEDIUM |
| Balance | 3 | both | MEDIUM |
| **Total** | **20** | - | - |

<examples>
### Verbose Phrase
<bad_example>
```markdown
In order to configure the plugin, you need to...
```
</bad_example>
<good_example>
```markdown
To configure the plugin...
```
</good_example>

### RAG Chunking
<bad_example>
```markdown
## Installation
[2000+ tokens of mixed content covering install, config, and usage]
```
</bad_example>
<good_example>
```markdown
## Installation
[400 tokens - installation only]

## Configuration
[300 tokens - config only]

## Usage
[400 tokens - usage only]
```
</good_example>

### Position-Aware Content
<bad_example>
```markdown
## Introduction
[Long background...]

## History
[More context...]

## Critical Setup Steps
[Important info buried in middle]
```
</bad_example>
<good_example>
```markdown
## Quick Start (Critical)
[Important setup steps at START]

## Background
[Supporting context in middle]

## Reference
[Details...]

## Key Reminders
[Critical points repeated at END]
```
</good_example>

### Tables vs Prose
<bad_example>
```markdown
The API accepts three parameters. The first is `query` which is required.
The second is `limit` which defaults to 10. The third is `format`.
```
</bad_example>
<good_example>
```markdown
| Param | Required | Default |
|-------|----------|---------|
| query | Yes | - |
| limit | No | 10 |
| format | No | json |
```
</good_example>
</examples>

## References

- `agent-docs/CONTEXT-OPTIMIZATION-REFERENCE.md` - Token budgeting, position awareness, chunking
- `agent-docs/PROMPT-ENGINEERING-REFERENCE.md` - Structure, information density

## Constraints

- Auto-fix only HIGH certainty issues
- Preserve original tone and style
- Balance AI optimization with human readability (default mode)
- Don't remove content, only restructure or condense
enhance-docs | SkillHub