BMAD-METHOD/.github/ISSUE_TEMPLATE/idea_submission.md
Brian Madison 48cf5c8056 feat(workflows): Implement intelligent file discovery protocol and Phase 4 BMGD workflows
## Core Workflow Engine Enhancements

### discover_inputs Protocol (MAJOR)
- Added reusable `discover_inputs` protocol to workflow.xml for intelligent file loading
- Supports three loading strategies:
  - FULL_LOAD: Load all shards for PRD, Architecture, UX (changed pattern from /index.md to /*/*.md)
  - SELECTIVE_LOAD: Load specific shard via template variable (e.g., epic-{{epic_num}}.md)
  - INDEX_GUIDED: Load index, analyze TOC, intelligently load relevant docs (with "DO NOT BE LAZY" mandate)
- Auto-discovers whole vs sharded documents with proper fallback
- Provides transparent reporting of loaded content with file counts
- Invoked via <invoke-protocol name="discover_inputs" /> tag in workflow instructions

### Advanced Elicitation Improvements
- Renamed adv-elicit.xml to advanced-elicitation.xml for clarity
- Updated all references across agents and commands

### Shard Document Tool Enhancement
- Added Step 6: Handle Original Document with three options:
  - [d] Delete - Remove original (recommended, prevents confusion)
  - [m] Move to archive - Backup original to archive folder
  - [k] Keep - Warning about defeating sharding purpose
- Prevents issue where both whole and sharded versions exist, confusing discover_inputs protocol

## BMM Module - Input File Pattern Standardization

### Phase 1 - Analysis (1 workflow)
- product-brief: Added load_strategy (FULL_LOAD for research/brainstorming, INDEX_GUIDED for document_project)
- Updated instructions.md to use invoke-protocol, replaced manual fuzzy matching

### Phase 2 - Planning (4 workflows)
- prd: Added load_strategy, updated instructions to reference {product_brief_content}, {research_content}
- create-ux-design: Added load_strategy, removed fuzzy matching from instructions
- tech-spec: Added load_strategy for brownfield context discovery
- All epics patterns updated to support SELECTIVE_LOAD for specific epic shards

### Phase 3 - Solutioning (2 workflows)
- architecture: Added load_strategy, updated instructions to use pre-loaded {prd_content}, {epics_content}, {ux_design_content}
- solutioning-gate-check: Added load_strategy, replaced manual discovery with protocol invocation

### Phase 4 - Implementation (8 workflows)
- code-review: Added load_strategy, fixed sharded patterns to /*/*.md, added step 1.5 for protocol
- correct-course: Added complete input_file_patterns section (was missing), added step 0.5
- create-story: Added load_strategy, updated to SELECTIVE_LOAD for epics, added step 1.5
- dev-story: Added complete input_file_patterns section (was missing), added step 0.5
- epic-tech-context: Added load_strategy, updated PRD extraction to use {prd_content}, added step 1.5
- retrospective: Added load_strategy for architecture/prd (FULL_LOAD), epics (SELECTIVE_LOAD), added step 0.5
- sprint-planning: Fixed sharded pattern to load ALL epics (/*/*.md), added step 0.5
- story-context: Added load_strategy, updated doc collection to reference pre-loaded content, added step 1.5

### Sprint Artifacts Path Corrections
- story-done: Added missing sprint_artifacts variable, fixed sprint_status path from {context_dir} to {sprint_artifacts}
- story-ready: Added missing sprint_artifacts variable
- story-context: Fixed undefined {context_dir} -> {sprint_artifacts}
- correct-course: Added sprint_artifacts and sprint_status variables

## BMGD Module - Phase 4 Production Workflows (NEW)

Added complete Phase 4 implementation workflows for game development:
- code-review: Senior developer review for completed game features
- correct-course: Sprint change management for game projects
- create-story: Story generation for game mechanics/features
- dev-story: Feature implementation workflow
- epic-tech-context: Technical spec generation per game epic
- retrospective: Epic completion review and lessons learned
- sprint-planning: Game development sprint status tracking
- story-context: Dynamic context assembly for game stories
- story-done: Story completion workflow
- story-ready: Story readiness workflow

All BMGD workflows follow BMM patterns with game-specific adaptations.

## Agent Updates

### BMM Agents
- Updated all 7 BMM agents (analyst, architect, dev, pm, sm, tea, tech-writer, ux-designer)
- Standardized web bundle configurations

### BMGD Agents
- Updated 4 game development agents (game-architect, game-designer, game-dev, game-scrum-master)
- Aligned with BMM agent structure

### CIS Agents
- Updated 5 creative intelligence agents for consistency

## Documentation & Configuration

- Updated CHANGELOG.md with Phase 4 workflow additions
- Updated files-manifest.csv and task-manifest.csv
- Updated .claude commands for all agents
- Fixed formatting issues from previous commits

## Breaking Changes

NONE - All changes are backward compatible. Workflows without input_file_patterns continue to work.
Workflows with input_file_patterns now benefit from intelligent auto-loading.

## Migration Notes

Existing workflows can gradually adopt discover_inputs protocol by:
1. Adding load_strategy to existing input_file_patterns in workflow.yaml
2. Adding <invoke-protocol name="discover_inputs" /> step in instructions.md
3. Replacing manual file loading with references to {pattern_name_content} variables
2025-11-12 19:18:38 -06:00

2.4 KiB

name about title labels assignees
V6 Idea Submission Suggest an idea for v6

Idea: [Replace with a clear, actionable title]

PASS Framework

Problem:

What's broken or missing? What pain point are we addressing? (1-2 sentences)

[Your answer here]

Audience:

Who's affected by this problem and how severely? (1-2 sentences)

[Your answer here]

Solution:

What will we build or change? How will we measure success? (1-2 sentences with at least 1 measurable outcome)

[Your answer here]

[Your Acceptance Criteria for measuring success here]

Size:

How much effort do you estimate this will take?

  • XS - A few hours
  • S - 1-2 days
  • M - 3-5 days
  • L - 1-2 weeks
  • XL - More than 2 weeks

Metadata

Submitted by: [Your name]
Date: [Today's date]
Priority: [Leave blank - will be assigned during team review]


Examples

Click to see a GOOD example

Idea: Add search functionality to customer dashboard

Problem:
Customers can't find their past orders quickly. They have to scroll through pages of orders to find what they're looking for, leading to 15+ support tickets per week.

Audience:
All 5,000+ active customers are affected. Support team spends ~10 hours/week helping customers find orders.

Solution:
Add a search bar that filters by order number, date range, and product name. Success = 50% reduction in order-finding support tickets within 2 weeks of launch.

Size:

  • M - 3-5 days
Click to see a POOR example

Idea: Make the app better

Problem:
The app needs improvements and updates.

Audience:
Users

Solution:
Fix issues and add features.

Size:

  • Unknown

Why this is poor: Too vague, no specific problem identified, no measurable success criteria, unclear scope


Tips for Success

  1. Be specific - Vague problems lead to vague solutions
  2. Quantify when possible - Numbers help us prioritize (e.g., "20 customers asked for this" vs "customers want this")
  3. One idea per submission - If you have multiple ideas, submit multiple templates
  4. Success metrics matter - How will we know this worked?
  5. Honest sizing - Better to overestimate than underestimate

Questions?

Reach out to @OverlordBaconPants if you need help completing this template.