## Summary
Adds explicit model specifications to agents and commands that were missing them, with documented rationale for each choice.
## Changes
### Agents
- **issue-worker**: Added `model: sonnet` - balanced speed and capability for implementation tasks
- **pr-fixer**: Added `model: sonnet` - similar reasoning, quick iteration on review feedback
### Commands
- **/dashboard**: Added `model: haiku` - read-only command that just fetches and displays data
- **/roadmap**: Added `model: haiku` - read-only command with basic categorization
### Model Selection Rationale
- **opus**: Deep reasoning tasks (software-architect)
- **sonnet**: Balanced implementation tasks (issue-worker, pr-fixer, code-reviewer)
- **haiku**: Simple read/display tasks (dashboard, roadmap)
Each model selection is documented with a comment in the frontmatter explaining why that model was chosen.
Closes #72
- Add model: sonnet to issue-worker agent (balanced for implementation)
- Add model: sonnet to pr-fixer agent (balanced for feedback iteration)
- Add model: haiku to /dashboard command (read-only display)
- Add model: haiku to /roadmap command (read-only categorization)
- Document rationale for each model selection in frontmatter comments
Closes#72
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This is an automated review generated by the code-reviewer agent.
Summary
This PR adds explicit model specifications to 2 agents (issue-worker, pr-fixer) and 2 commands (dashboard, roadmap) that were previously missing them. Each addition includes clear, well-documented rationale in comments explaining the model choice. The selections align well with the established pattern visible in software-architect (opus) and code-reviewer (sonnet) agents.
Findings
Code Quality
Excellent documentation: Each model selection includes a 2-3 line comment explaining the reasoning
Consistent frontmatter format: Follows the same YAML structure as existing agents
Rationale is sound: The model selections are appropriate for the task complexity
Potential Bugs
No issues found - this is a metadata-only change
Security Concerns
No security concerns - model specifications don't introduce security risks
Style Notes
Comment format is consistent across all 4 files
Model rationale references task characteristics (speed, reasoning depth, complexity)
Follows existing pattern from code-reviewer and software-architect agents
Test Coverage
Not applicable - metadata changes don't require tests
The proof will be in usage: whether haiku handles dashboard/roadmap adequately and whether sonnet performs well for issue-worker/pr-fixer
Additional Observations
Model Selection Rationale:
haiku for dashboard/roadmap: Appropriate for read-only commands that fetch and display data with basic categorization
sonnet for issue-worker/pr-fixer: Good choice for implementation tasks requiring code understanding without needing opus-level architectural reasoning
Coverage Analysis:
After this PR, model specifications will be:
Consideration: The PR description mentions this addresses issue #72. You may want to consider whether other commands would benefit from explicit model specifications, though that could be a follow-up issue.
Verdict
LGTM
This is a clean, well-documented change that improves the system by making model selection explicit and documented. The choices are appropriate for the task types, and the documentation helps future maintainers understand the reasoning. Ready to merge.
## AI Code Review
> This is an automated review generated by the code-reviewer agent.
### Summary
This PR adds explicit model specifications to 2 agents (issue-worker, pr-fixer) and 2 commands (dashboard, roadmap) that were previously missing them. Each addition includes clear, well-documented rationale in comments explaining the model choice. The selections align well with the established pattern visible in software-architect (opus) and code-reviewer (sonnet) agents.
### Findings
#### Code Quality
- Excellent documentation: Each model selection includes a 2-3 line comment explaining the reasoning
- Consistent frontmatter format: Follows the same YAML structure as existing agents
- Rationale is sound: The model selections are appropriate for the task complexity
#### Potential Bugs
- No issues found - this is a metadata-only change
#### Security Concerns
- No security concerns - model specifications don't introduce security risks
#### Style Notes
- Comment format is consistent across all 4 files
- Model rationale references task characteristics (speed, reasoning depth, complexity)
- Follows existing pattern from code-reviewer and software-architect agents
#### Test Coverage
- Not applicable - metadata changes don't require tests
- The proof will be in usage: whether haiku handles dashboard/roadmap adequately and whether sonnet performs well for issue-worker/pr-fixer
### Additional Observations
**Model Selection Rationale:**
- **haiku for dashboard/roadmap**: Appropriate for read-only commands that fetch and display data with basic categorization
- **sonnet for issue-worker/pr-fixer**: Good choice for implementation tasks requiring code understanding without needing opus-level architectural reasoning
**Coverage Analysis:**
After this PR, model specifications will be:
- **Agents**: 4/4 specified (software-architect: opus, code-reviewer: sonnet, issue-worker: sonnet, pr-fixer: sonnet)
- **Commands**: 2/17 specified (dashboard: haiku, roadmap: haiku)
**Consideration**: The PR description mentions this addresses issue #72. You may want to consider whether other commands would benefit from explicit model specifications, though that could be a follow-up issue.
### Verdict
**LGTM**
This is a clean, well-documented change that improves the system by making model selection explicit and documented. The choices are appropriate for the task types, and the documentation helps future maintainers understand the reasoning. Ready to merge.
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Summary
Adds explicit model specifications to agents and commands that were missing them, with documented rationale for each choice.
Changes
Agents
model: sonnet- balanced speed and capability for implementation tasksmodel: sonnet- similar reasoning, quick iteration on review feedbackCommands
model: haiku- read-only command that just fetches and displays datamodel: haiku- read-only command with basic categorizationModel Selection Rationale
Each model selection is documented with a comment in the frontmatter explaining why that model was chosen.
Closes #72
AI Code Review
Summary
This PR adds explicit model specifications to 2 agents (issue-worker, pr-fixer) and 2 commands (dashboard, roadmap) that were previously missing them. Each addition includes clear, well-documented rationale in comments explaining the model choice. The selections align well with the established pattern visible in software-architect (opus) and code-reviewer (sonnet) agents.
Findings
Code Quality
Potential Bugs
Security Concerns
Style Notes
Test Coverage
Additional Observations
Model Selection Rationale:
Coverage Analysis:
After this PR, model specifications will be:
Consideration: The PR description mentions this addresses issue #72. You may want to consider whether other commands would benefit from explicit model specifications, though that could be a follow-up issue.
Verdict
LGTM
This is a clean, well-documented change that improves the system by making model selection explicit and documented. The choices are appropriate for the task types, and the documentation helps future maintainers understand the reasoning. Ready to merge.