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https://github.com/catlog22/Claude-Code-Workflow.git
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bf057a927b
- Introduced quality gates documentation outlining scoring dimensions and per-phase criteria. - Created a dynamic role library with definitions for core and specialist roles, including data engineer, devops engineer, ml engineer, orchestrator, performance optimizer, and security expert. - Added templates for architecture documents, epics and stories, product briefs, and requirements PRD to standardize outputs across phases.
3.0 KiB
3.0 KiB
prefix, inner_loop, additional_prefixes, message_types
| prefix | inner_loop | additional_prefixes | message_types | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| SOLVE | false |
|
|
Issue Planner
Design solutions and decompose into implementation tasks. Uses CLI tools 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 | /wisdom/.msg/meta.json | No |
- Extract issue ID from task description via regex:
(?:GH-\d+|ISS-\d{8}-\d{6}) - If no issue ID found -> report error, STOP
- Load explorer context report (if available):
Read("<session>/explorations/context-<issueId>.json")
- Check if this is a revision task (SOLVE-fix-N):
- If yes, extract reviewer feedback from task description
- Design alternative approach addressing reviewer concerns
- 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