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speckit-analyze

Delegate Speckit analysis input to a source skill with consistency checks.

Updated Apr 11, 2026
Search Tags:#workflow#analysis#codex#orchestration#speckit#ai-assistant
One-click install
npx skills add https://github.com/opensoft/dartwing-ocr-pipeline --skill speckit-analyze-opensoft
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: speckit-analyze
Source: https://github.com/opensoft/dartwing-ocr-pipeline/tree/main/plugins/speckit/skills/speckit-analyze
Command: npx skills add https://github.com/opensoft/dartwing-ocr-pipeline --skill speckit-analyze-opensoft

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Codex wrapper that orchestrates the Speckit analysis workflow by delegating execution to a source skill and passing through subsequent input for the source skill to analyze.

Core Features & Use Cases

  • Wrapper around the Speckit analysis workflow that invokes a source skill and applies consistency checks.
  • Passes any text after /speckit.analyze to the source skill as input for analysis.
  • Useful for reproducible Speckit analysis in research pipelines and AI-assisted debugging.

Quick Start

Invoke the Speckit wrapper with a target input, then run the source skill with the remaining command.

Frequently Asked Questions about speckit-analyze

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

FAQPage Schema
How do I automate Speckit analysis workflows through an AI assistant?▼

Automating Speckit analysis workflows involves using a wrapper that delegates execution to a source skill, passing your text input directly for analysis while applying consistency checks.

What is a Speckit wrapper and how does it coordinate source skills?▼

A Speckit wrapper orchestrates analysis by reading a source skill, forwarding any input provided after the invocation command, and executing the task with consistency checks and recommendations.

Can I use this Speckit orchestration wrapper for reproducible research pipelines?▼

Yes, Speckit orchestration is useful for reproducible analysis in research pipelines, model evaluation, and workflow prototyping where tasks must be coordinated through a source skill.

How do I pass input data to the source skill during a Speckit analysis workflow?▼

You pass input data by providing any text after the invocation command, which the wrapper then forwards directly to the source skill for analysis and execution.

Does the Speckit analysis wrapper apply consistency checks to scientific data?▼

Yes, the wrapper applies consistency checks and generates recommendations while executing the delegated source skill, ensuring reliable scientific data analysis and model evaluation.

What are the limitations of using a wrapper for AI-assisted workflow debugging?▼

The wrapper requires a source skill to function and cannot execute analysis independently, meaning its effectiveness depends entirely on the source skill's capabilities and consistency check outcomes.

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