What is the benefit of the tools inventory command?

The tools inventory provides a normalized snapshot of all skill ownership and runtime APIs, which is critical for maintaining alignment between tools and audit requirements.

Does this skill manage development workflow orchestration?

No, orchestration is handled by specific stage skills like aidd-flow-state; this skill is dedicated strictly to observability, reporting, and diagnostics.

What happens if a diagnostic check fails?

The diagnostic tool returns a non-zero exit code and provides actionable hints, allowing you to fix the environment before retrying the development stage.

When should I use the doctor script in this skill?

You should run the doctor script whenever you suspect environment drift, path issues, or missing tool prerequisites that might interfere with your development workflow.

Can I visualize my AI development stages with this skill?

Yes, the skill includes a DAG export utility that allows you to generate and export visual representations of your execution logic and reporting stages.

AIDD Observability & Diagnostics

Name: AIDD Observability & Diagnostics
Author: GrinRus

byGrinRus

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Analytics & Monitoring

Provides centralized observability, runtime diagnostics, and inventory reporting for AI-driven development workflows.

The aidd-observability skill serves as a specialized system for monitoring and auditing AI-driven development (AIDD) processes within the Claude Code environment. It enables users to perform comprehensive environment health checks via 'doctor' scripts, generate detailed inventory snapshots for runtime APIs, and export execution logs or Directed Acyclic Graphs (DAGs) for workflow visualization. This skill is essential for maintaining system integrity, troubleshooting environment drift, and ensuring deterministic reporting across complex automated coding tasks.

Key Features

01Automated runtime API and tool inventory generation for auditing

02Standardized execution logging and diagnostic data collection

03DAG (Directed Acyclic Graph) export for visualizing development workflows

045 GitHub stars

05Centralized management of system identifiers and runtime paths

06Deterministic environment health reporting with actionable remediation hints

Use Cases

01Generating inventory snapshots for security audits and ownership mapping

02Debugging environment path drift or missing tooling prerequisites

03Visualizing complex AI-driven development cycles using graph exports

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add grinrus/ai_driven_dev aidd-observability

For use in Claude.ai and ChatGPT

Key Features

01Automated runtime API and tool inventory generation for auditing

02Standardized execution logging and diagnostic data collection

03DAG (Directed Acyclic Graph) export for visualizing development workflows

045 GitHub stars

05Centralized management of system identifiers and runtime paths

06Deterministic environment health reporting with actionable remediation hints

Use Cases

01Generating inventory snapshots for security audits and ownership mapping

02Debugging environment path drift or missing tooling prerequisites

03Visualizing complex AI-driven development cycles using graph exports

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add grinrus/ai_driven_dev aidd-observability

For use in Claude.ai and ChatGPT