doc-review

Solid

Review a single file or all files in a folder for data inconsistencies, reference errors, typos, and unclear terminology using parallel sub-agents

Code & Development 15 stars 3 forks Updated today MIT

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Quality Score: 77/100

Stars 20%
40
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
0

Skill Content

# doc-review **Description**: Multi-agent documentation quality review system that analyzes a single file or all files in a folder for data inconsistencies, reference errors, typos, and unclear terminology. **Category**: Quality Assurance **Complexity**: High (multi-agent coordination) --- ## Purpose Comprehensive documentation quality review using specialized sub-agents to detect: - **Data inconsistencies**: Contradictory information, wrong data, confusing content - **Reference errors**: Broken links, invalid cross-references, missing anchors - **Typos and spelling**: Misspellings, grammatical errors, formatting issues - **Terminology issues**: Undefined terms, inconsistent naming, ambiguous language --- ## Analysis Modes | Mode | Input | Behavior | |------|-------|----------| | **Single File** | `/doc-review path/to/file.md` | Analyzes one file in depth | | **Folder** | `/doc-review path/to/folder/` | Analyzes ALL files in folder together, including cross-file consistency | **Folder mode** provides additional cross-file checks: - Terminology consistency across all documents - Cross-document reference validation - Duplicate content detection across files - Consistent naming conventions --- ## When to Use This Skill **Use doc-review when**: - Reviewing documentation before publication - Validating files after batch creation - Performing quality audits on markdown/YAML files - Checking cross-reference integrity - Pre-commit quality validation - Reviewing a single ...

Details

Author
vladm3105
Repository
vladm3105/aidoc-flow-framework
Created
6 months ago
Last Updated
today
Language
Python
License
MIT

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