# DAO Decisions — Change Request

| Entry ID | Timestamp | Task ID | Calling Skill | Disposition | Confidence | Summary |
|----------|-----------|---------|---------------|-------------|------------|---------|
| DAO-072 | 2026-03-14T07:28:57Z | TASK-869 | x-ipe-task-based-change-request | instruction | 0.85 | UIUX feedback: Update deliverable tags to support multiple outputs (e.g., `$output:raw-ideas` plural) so compose_idea lists all produced files (idea .md + uploaded PNGs) |

## DAO-072
- **Timestamp:** 2026-03-14T07:28:57Z
- **Task ID:** TASK-869
- **Feature ID:** N/A
- **Workflow:** test
- **Calling Skill:** x-ipe-task-based-change-request
- **Source:** human
- **Disposition:** instruction
- **Confidence:** 0.85

### Message
> can we have update the deliverable tag and context input, for example. "$output:raw-idea" in the workflow template.json, let change it to "$output:raw-ideas", so it can receiving multiple outputs, in this example I have the new-idea.md, we also should listing two png I uploaded from composing idea

### Guidance Returned
> Process as a change request on the workflow deliverable system. The CR should analyze the impact of changing `$output:raw-idea` to `$output:raw-ideas` to support listing multiple output files per deliverable tag. Currently compose_idea only shows the idea markdown, but should also list uploaded reference files (PNGs). This touches workflow-template.json, copilot-prompt.json, the deliverable resolution logic in workflow_manager_service.py, and the frontend rendering in workflow-stage.js.

### Rationale
> The user identified a UI limitation via UIUX feedback: compose_idea produces multiple outputs (idea .md + uploaded files) but the deliverable tag only stores/shows a single file. This is a change request that requires analyzing backward compatibility across the deliverable contract (template resolution, context dropdowns, copilot prompts). Routed to x-ipe-task-based-change-request as the engineering-correct entry point.

### Suggested Skills
> suggested_skills:
>   - skill_name: "x-ipe-task-based-change-request"
>     match_strength: "strong"
>     reason: "UIUX feedback requesting modification to existing deliverable tag system — classic CR flow"
>     execution_steps:
>       - phase: "1. Analyze Impact"
>         step: "1.1 Read existing feature specs and identify affected components"
>       - phase: "2. Create CR Document"
>         step: "2.1 Write CR with impact analysis, proposed changes, and backward compat plan"

### Follow-up
> After CR is created, route to feature refinement to update the specification, then technical design and implementation.

| DAO-073 | 2026-03-14T08:31:20Z | TASK-871 | x-ipe-task-based-technical-design | instruction | 0.98 | Proceed to code implementation for FEATURE-041-E CR-003 with DAO representing human (dao-represent-human-to-interact) |

## DAO-073
- **Timestamp:** 2026-03-14T08:31:20Z
- **Task ID:** TASK-871
- **Feature ID:** FEATURE-041-E
- **Workflow:** N/A
- **Calling Skill:** x-ipe-task-based-technical-design
- **Source:** human
- **Disposition:** instruction
- **Confidence:** 0.98

### Message
> DAO represent me

### Guidance Returned
> Proceed to code implementation for FEATURE-041-E CR-003 (array-valued deliverable tags). Technical Design (TASK-871) is complete and validated. Engineering workflow dictates: technical_design → code_implementation. Set interaction_mode to dao-represent-human-to-interact for autonomous execution.

### Rationale
> Clear pipeline progression. Technical design v2.0 passed all 7 DoD checkpoints. Engineering workflow DAG confirms code_implementation is the next required action after technical_design. User explicitly requests DAO representation (autonomous mode). No ambiguity — confidence 0.98.

### Suggested Skills
> suggested_skills:
>   - skill_name: "x-ipe-task-based-code-implementation"
>     match_strength: "strong"
>     reason: "Engineering workflow: technical_design → code_implementation. FEATURE-041-E CR-003 design is complete."
>     execution_steps:
>       - phase: "1. Study"
>         step: "1.1 Read specification and technical design"
>       - phase: "2. Test scenarios"
>         step: "2.1 Generate AAA test scenarios from spec"
>       - phase: "3. Implement"
>         step: "3.1 Route to language-specific implementation"
>       - phase: "4. Validate"
>         step: "4.1 Run tests and verify"

### Follow-up
> None
