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mindspring-lab - MindSpring algorithm learning artifact standard

Defines and validates algorithm learning documents, implementations, visual assets, exercises, migration projects, and completion status under algorithms/.

Tags

Updated: 2026-10-16
algorithmsdocumentationlearning-designreproducibilityvisualizationexercisesmigration-projectsvalidation

Capabilities

Define learning artifactsStructure two-part READMEsImplement handwritten algorithmsCompare implementation results

Typical Inputs

Algorithm experiment requirementsAlgorithms repository filesTheory anchor documents

Typical Outputs

Learning README filesAlgorithm implementation filesTeaching asset scripts and images

What this skill does

  • Define learning artifacts
  • Structure two-part READMEs
  • Implement handwritten algorithms
  • Compare implementation results
  • Generate reproducible teaching assets
  • Create separated exercises
  • Build migration projects
  • Validate completion status

Inputs

  • Algorithm experiment requirements
  • Algorithms repository files
  • Theory anchor documents
  • Algorithm family references
  • Execution results

Outputs

  • Learning README files
  • Algorithm implementation files
  • Teaching asset scripts and images
  • Exercise and solution files
  • Migration project files
  • Index and status updates
  • Validation reports
  • Completion matrix records

Requirements

  • MindSpring repository
  • Python 3 runtime
  • Repository read and write access

Source

  • Spec: SKILL.md

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