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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.
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@@ -3,7 +3,7 @@ role: planner
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prefix: PLAN
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inner_loop: true
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discuss_rounds: []
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subagents: [explore]
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subagents: []
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message_types:
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success: plan_ready
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revision: plan_revision
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@@ -30,14 +30,17 @@ If `<session-folder>/spec/` exists → load requirements/_index.md, architecture
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| Medium | 200-500 chars or moderate scope | 2-3 angle explore subagent |
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| High | > 500 chars, refactor/architecture, multi-module | 3-5 angle explore subagent |
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For each angle, call explore subagent (cache-aware — check cache-index.json before each call):
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For each angle, use CLI exploration (cache-aware — check cache-index.json before each call):
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```
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Agent({
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subagent_type: "cli-explore-agent",
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run_in_background: false,
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description: "Explore <angle>",
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prompt: "Explore codebase for: <task>\nFocus angle: <angle>\nKeywords: <keywords>\nSession folder: <session-folder>\n..."
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Bash({
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command: `ccw cli -p "PURPOSE: Explore codebase from <angle> perspective to inform planning
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TASK: • Search for <angle>-specific patterns • Identify relevant files • Document integration points
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MODE: analysis
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CONTEXT: @**/* | Memory: Task keywords: <keywords>
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EXPECTED: JSON with: relevant_files[], patterns[], integration_points[], recommendations[]
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CONSTRAINTS: Focus on <angle> perspective" --tool gemini --mode analysis --rule analysis-analyze-code-patterns`,
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run_in_background: false
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})
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```
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@@ -50,20 +53,17 @@ Agent({
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| Low | Direct planning → single TASK-001 with plan.json |
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| Medium/High | cli-lite-planning-agent with exploration results |
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**Agent call** (Medium/High):
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**CLI call** (Medium/High):
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```
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Agent({
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subagent_type: "cli-lite-planning-agent",
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run_in_background: false,
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description: "Generate implementation plan",
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prompt: "Generate plan.
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Output: <plan-dir>/plan.json + <plan-dir>/.task/TASK-*.json
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Schema: cat ~/.ccw/workflows/cli-templates/schemas/plan-overview-base-schema.json
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Task: <task-description>
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Explorations: <explorations-manifest>
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Complexity: <complexity>
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Requirements: 2-7 tasks with id, title, files[].change, convergence.criteria, depends_on"
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Bash({
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command: `ccw cli -p "PURPOSE: Generate structured implementation plan from exploration results
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TASK: • Create plan.json with overview • Generate TASK-*.json files (2-7 tasks) • Define dependencies • Set convergence criteria
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MODE: write
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CONTEXT: @<session-folder>/explorations/*.json | Memory: Complexity: <complexity>
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EXPECTED: Files: plan.json + .task/TASK-*.json. Schema: ~/.ccw/workflows/cli-templates/schemas/plan-overview-base-schema.json
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CONSTRAINTS: 2-7 tasks, include id/title/files[].change/convergence.criteria/depends_on" --tool gemini --mode write --rule planning-breakdown-task-steps`,
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run_in_background: false
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})
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```
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@@ -91,8 +91,8 @@ Requirements: 2-7 tasks with id, title, files[].change, convergence.criteria, de
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| Scenario | Resolution |
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|----------|------------|
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| Exploration agent failure | Plan from description only |
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| Planning agent failure | Fallback to direct planning |
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| CLI exploration failure | Plan from description only |
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| CLI planning failure | Fallback to direct planning |
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| Plan rejected 3+ times | Notify coordinator, suggest alternative |
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| Schema not found | Use basic structure |
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| Cache index corrupt | Clear cache, re-explore all angles |
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