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jlenrique
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woodshed

Reproduce exemplar artifacts via API or MCP and validate against originals.

Updated Mar 26, 2026
Search Tags:#evaluation#artifacts#reproducibility#mastery#regression-testing#exemplars#woodshed
One-click install
npx skills add https://github.com/jlenrique/course-DEV-IDE-with-AGENTS --skill woodshed
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: woodshed
Source: https://github.com/jlenrique/course-DEV-IDE-with-AGENTS/tree/main/skills/woodshed
Command: npx skills add https://github.com/jlenrique/course-DEV-IDE-with-AGENTS --skill woodshed

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pyyaml, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill enables agents to study exemplar artifacts, reproduce them programmatically via the tool's API or MCP, and verify mastery through structured comparison, providing a regression-testing safety net.

Core Features & Use Cases

  • Reproduce exemplars programmatically via API/MCP and compare against the original artifacts.
  • Supports progressive skill development and regression testing to ensure mastery over time.
  • Provides per-attempt artifact retention, reflection notes, and circuit-breaker controls to prevent endless cycles.

Quick Start

Study an exemplar, derive a reproduction spec, and run a woodshed cycle against a tool to validate mastery.

Frequently Asked Questions about woodshed

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

FAQPage Schema
How do I automate regression testing for agent reproducibility against original artifacts?▼

You automate regression testing for reproducibility by studying exemplar artifacts, deriving a reproduction spec, and running a validation cycle via API or MCP to prove mastery. This structured workflow retains per-attempt artifacts and reflection notes to verify reliability.

What is exemplar mastery and how does it validate specialist agent development?▼

Exemplar mastery is the process of programmatically reproducing artifacts via a tool's API or MCP and comparing the results against originals. It validates specialist agent development by proving reliability when new exemplars are added during onboarding or testing cycles.

How do I prevent endless reproduction cycles when validating artifacts programmatically?▼

To prevent endless reproduction cycles when validating artifacts, the workflow uses built-in circuit-breaker safeguards. These controls stop infinite loops while retaining per-attempt artifacts and reflection notes for structured comparison against the original exemplars.

Can I use this workflow to onboard new tools and verify API or MCP mastery?▼

Yes, you can use this workflow for tool onboarding to verify API or MCP mastery. It enforces a structured progression of studying exemplars, deriving reproduction specs, and validating the generated results against the original artifacts to prove reliability.

Do I need pyyaml to reproduce exemplars and run regression testing cycles?▼

Yes, you need pyyaml installed to support the workflow that reproduces exemplars and runs regression testing cycles. This dependency is required for the scripts that derive reproduction specs and validate results against original artifacts.

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