Issue #240 Enhancement - Navigation Guide

This directory contains the enhanced specification for Issue #240: Create Elm to F# Guru Skill, incorporating guru framework principles from Issue #253.

Quick Start

New to Issue #240 enhancement? Start here:

  1. Quick Summary - 10-minute read

    • Overview of all 7 enhancement sections
    • Key features and benefits
    • Before vs After comparison

  2. Full Specification - 30-minute read

    • Complete detailed specification
    • All 7 sections with examples and workflows
    • Implementation checklists

Document Structure

issue-240-summary.md

Purpose: Quick reference and overview
Audience: Maintainers, reviewers, developers
Length: 312 lines (~10 pages)

Contains:

  • Summary of all 7 enhancements
  • Key metrics and benefits
  • Before vs After comparison table
  • Implementation checklist
  • How to use the enhancement

Use this if:

  • You need a quick overview
  • You’re reviewing the enhancement
  • You want to understand what changed

issue-240-enhanced.md

Purpose: Complete specification for implementation
Audience: Developers implementing the guru
Length: 1,167 lines (~45 pages)

Contains:

  • Section 1: Proactive Review Capability ⭐

    • What the guru reviews (anti-patterns, Myriad opportunities, idiom violations)
    • Review triggers (session, weekly, quarterly)
    • Review output format with examples

  • Section 2: Automated Feedback & Continuous Improvement

    • Session capture with “Patterns Discovered” section
    • Quarterly reviews and playbook evolution
    • Automation loop (patterns → scripts → prevention)

  • Section 3: Token Efficiency Analysis

    • 4 F# scripts with detailed workflows
    • Token savings per script and annually (152,720 tokens)
    • JSON output examples

  • Section 4: Cross-Project Portability

    • Portable components (pattern detection, analysis, review philosophy)
    • Non-portable components (F# idioms, Myriad plugins)
    • Adaptation guides (Elm-to-Haskell, Elm-to-OCaml, Python-to-F#)

  • Section 5: Guru Coordination

    • With AOT Guru (generated code review)
    • With QA Tester (test coverage verification)
    • With Release Manager (milestone tracking)
    • Common retrospectives

  • Section 6: Review Integration with Retrospectives

    • How proactive reviews and reactive retrospectives work together
    • Q1-Q3 improvement cycle example
    • ValueType boxing pattern case study

  • Section 7: Enhanced Success Criteria

    • Functional, Learning, Automation, Maturity criteria
    • 3 maturity phases: Alpha (Q1), Beta (Q2-Q3), Stable (Q4+)
    • Measurable metrics and timelines

Use this if:

  • You’re implementing the Elm-to-F# Guru
  • You need detailed workflows and examples
  • You want to understand the full design

How to Use These Documents

For Maintainers

  1. Review issue-240-summary.md for overview
  2. Read issue-240-enhanced.md for details
  3. Use content to update GitHub Issue #240
  4. Assign to developer for implementation

For Developers

  1. Start with issue-240-summary.md to understand scope
  2. Use issue-240-enhanced.md as implementation spec
  3. Follow Implementation Checklist in Section 7
  4. Reference Guru Creation Guide
  5. Use Skill Template

For Reviewers

  1. Check issue-240-summary.md for acceptance criteria
  2. Verify all 7 sections are implemented
  3. Validate automation scripts exist and work
  4. Confirm review capability is functional
  5. Ensure maturity phase criteria are met

Guru Framework Documentation

Code Generation Issues

  • Issue #241 - Create CodeGeneration Project
  • Issue #242 - Integrate Fabulous.AST for F# Code Generation

Implementation Resources

Key Innovations

This enhancement is notable for several innovations:

  1. First Guru with Review Built-In from Day One

    • Earlier gurus (QA Tester, AOT Guru, Release Manager) added review later
    • Elm-to-F# Guru has review as core competency from the start
    • Establishes pattern for all future gurus

  2. Comprehensive Token Efficiency Analysis

    • 4 automation scripts with detailed token savings
    • Per-script and annual projections (152,720 tokens)
    • Reusability across projects documented

  3. Cross-Project Portability Analysis

    • Clear separation: portable vs non-portable components
    • Adaptation guides for Elm-to-Haskell, Elm-to-OCaml, Python-to-F#
    • Effort estimates for adaptation (12-40 hours)

  4. Review + Retrospective Integration

    • Detailed Q1-Q3 improvement cycle example
    • ValueType boxing pattern case study
    • Shows how proactive + reactive approaches work together

  5. Maturity Model with Clear Metrics

    • 3 phases: Alpha (Q1), Beta (Q2-Q3), Stable (Q4+)
    • Measurable success criteria per phase
    • Transition criteria between phases

Questions?

Last Updated: 2025-12-19
Status: ✅ Complete and ready for use
Next Steps: Use content to update GitHub Issue #240


Last modified December 19, 2025: Add comprehensive Issue #240 enhancement specification with guru framework principles (#278) (6d9ec7c)