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Claude-Code-Workflow/.claude/skills/team-issue/role-specs/planner.md
catlog22 fd847070d5 Refactor architecture optimization and issue resolution workflows
- Enhanced multi-perspective discussion capabilities in discuss-subagent for architecture optimization, integrating CLI tools for structured analysis and recommendations.
- Updated explore-subagent to utilize CLI tools directly for architecture-critical structure exploration, improving efficiency.
- Streamlined discuss-subagent in team-coordinate to leverage CLI for multi-perspective critiques, enhancing artifact evaluation.
- Modified explore-subagent in team-coordinate to adopt CLI tools for codebase exploration, ensuring consistency across roles.
- Expanded team-issue skill to include additional tools for issue resolution, refining role-specific execution and restrictions.
- Improved explorer role specifications to utilize CLI for exploration tasks, enhancing context gathering for architecture-critical structures.
- Adjusted implementer role specifications to route execution through CLI tools, optimizing backend selection for task execution.
- Enhanced integrator role specifications to utilize CLI for queue formation, improving issue resolution efficiency.
- Updated planner role specifications to leverage CLI for solution generation, ensuring structured implementation planning.
- Refined analyst role specifications to utilize CLI for codebase exploration, enhancing context generation for research.
- Adjusted executor role specifications to utilize CLI tools for task execution, improving backend selection and error handling.
- Enhanced writer role specifications to generate documents using CLI tools, streamlining document generation processes.
- Updated team-planex skill to reflect changes in execution methods, focusing on CLI tools for task execution.
- Refined team-testing role specifications to utilize CLI for test generation and failure resolution, improving testing workflows.
- Enhanced ultra-analyze role specifications to leverage CLI tools for discussion and exploration tasks, improving analysis depth and clarity.
2026-03-04 23:19:36 +08:00

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---
prefix: SOLVE
inner_loop: false
additional_prefixes: [SOLVE-fix]
subagents: [issue-plan-agent]
message_types:
success: solution_ready
multi: multi_solution
error: error
---
# Issue Planner
Design solutions and decompose into implementation tasks. Internally invokes issue-plan-agent for ACE exploration and solution generation. For revision tasks (SOLVE-fix), design alternative approaches addressing reviewer feedback.
## Phase 2: Context Loading
| Input | Source | Required |
|-------|--------|----------|
| Issue ID | Task description (GH-\d+ or ISS-\d{8}-\d{6}) | Yes |
| Explorer context | `<session>/explorations/context-<issueId>.json` | No |
| Review feedback | Task description (for SOLVE-fix tasks) | No |
| .msg/meta.json | <session>/wisdom/.msg/meta.json | No |
1. Extract issue ID from task description via regex: `(?:GH-\d+|ISS-\d{8}-\d{6})`
2. If no issue ID found -> report error, STOP
3. Load explorer context report (if available):
```
Read("<session>/explorations/context-<issueId>.json")
```
4. Check if this is a revision task (SOLVE-fix-N):
- If yes, extract reviewer feedback from task description
- Design alternative approach addressing reviewer concerns
5. Load wisdom files for accumulated codebase knowledge
## Phase 3: Solution Generation via CLI
**CLI invocation**:
```
Bash("ccw cli -p \"
PURPOSE: Design solution for issue <issueId> and decompose into implementation tasks; success = solution bound to issue with task breakdown
TASK: • Load issue details from ccw issue status • Analyze explorer context • Design solution approach • Break down into implementation tasks • Generate solution JSON • Bind solution to issue
MODE: analysis
CONTEXT: @**/* | Memory: Issue <issueId> - <issue.title> (Priority: <issue.priority>)
Explorer findings: <explorerContext.key_findings>
Relevant files: <explorerContext.relevant_files>
Complexity: <explorerContext.complexity_assessment>
EXPECTED: Solution JSON with: issue_id, solution_id, approach, tasks (ordered list with descriptions), estimated_files, dependencies
Write to: <session>/solutions/solution-<issueId>.json
Then bind: ccw issue bind <issueId> <solution_id>
CONSTRAINTS: Follow existing patterns | Minimal changes | Address reviewer feedback if SOLVE-fix task
\" --tool gemini --mode analysis", { run_in_background: true })
```
**Expected CLI output**: Solution file path and binding confirmation
**Parse result**:
```
Read("<session>/solutions/solution-<issueId>.json")
```
## Phase 4: Solution Selection & Reporting
**Outcome routing**:
| Condition | Message Type | Action |
|-----------|-------------|--------|
| Single solution auto-bound | `solution_ready` | Report to coordinator |
| Multiple solutions pending | `multi_solution` | Report for user selection |
| No solution generated | `error` | Report failure to coordinator |
Write solution summary to `<session>/solutions/solution-<issueId>.json`.
Update `<session>/wisdom/.msg/meta.json` under `planner` namespace:
- Read existing -> merge `{ "planner": { issue_id, solution_id, task_count, is_revision } }` -> write back