audit-documentation

Audit repository documentation across five stages and generate JSONL findings.

Updated Feb 24, 2026
One-click install
npx skills add https://github.com/jasonmichaelbell78-creator/framework --skill audit-documentation-jasonmichaelbell78-creator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: audit-documentation
Source: https://github.com/jasonmichaelbell78-creator/framework/tree/main/.claude/skills/audit-documentation
Command: npx skills add https://github.com/jasonmichaelbell78-creator/framework --skill audit-documentation-jasonmichaelbell78-creator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Maintains high-quality, consistent, and lifecycle-aware documentation by orchestrating a multi-stage audit that surfaces gaps, inconsistencies, and aging content across a repository.

Core Features & Use Cases

  • Multi-stage audit: coordinates 18 agents across 5 stages to validate inventory, links, content quality, formatting, and lifecycle.
  • Outputs & TDMS intake: generates structured JSONL findings per stage and a final report, ready for TDMS processing.
  • Risk-aware validation: includes pre-audit checks, cross-reference validation, and a post-audit interactive review workflow for remediation planning.
  • Use Case: teams can continuously improve documentation quality in large projects by running automated audits on demand.

Quick Start

Invoke the audit-documentation skill to run the full, multi-stage documentation audit and produce the final synthesized report.

Frequently Asked Questions about audit-documentation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I audit documentation quality and consistency across a repository?

Run a multi-stage documentation audit to validate inventory, links, content quality, formatting, and lifecycle stages. The workflow coordinates 18 agents across 5 parallel stages to surface gaps, inconsistencies, and aging content before producing a final synthesized report.

What is the best way to find lifecycle gaps and aging content in technical documentation?

Documentation lifecycle audits identify aging content by validating cross-references and checking artifact inventory against repository changes. A post-audit interactive review workflow then helps teams map remediation priorities for outdated or inconsistent materials.

Can I automate documentation reporting for TDMS intake?

Yes, automated documentation audits generate structured JSONL findings per stage and a final report formatted for TDMS intake. The workflow validates inputs and logs findings securely, creating audit-ready outputs for downstream TDMS processing.

Does the multi-agent documentation audit work without external dependencies?

Yes, the audit runs entirely self-contained with no external dependencies. Pre-audit risk validation checks inputs internally, and the 18-agent workflow executes across 5 stages without requiring additional tools, frameworks, or external integrations.

How do I plan remediation after exposing documentation inconsistencies?

After exposing documentation inconsistencies, use the post-audit interactive review workflow to plan remediation. The final synthesized report aggregates all stage findings, enabling teams to prioritize fixes for quality, consistency, and lifecycle gaps.

When should I run a multi-stage documentation audit instead of a single-pass review?

Run a multi-stage documentation audit for large projects requiring continuous quality improvement, where a single-pass review cannot adequately validate inventory, links, content quality, formatting, and lifecycle stages in parallel.