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feat: add dynamic pipeline detection for team sessions v5 architecture
Backend:
- Fix readLegacyFiles to handle { name, prefix }[] role format
- Add roles backfill in getEffectiveTeamMeta when meta.json exists
- Ensure pipeline_stages and roles flow correctly to API response
Team Skills:
- Add pipeline metadata initialization to all 16 team skill coordinator roles
- Each skill now reports pipeline_stages and roles to meta.json at session init
Documentation:
- Update command references and component documentation
- Add numerical-analysis-workflow skill spec
- Sync zh/en translations for commands and components
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@@ -197,7 +197,26 @@ Bash("ccw team log --session-id <session-id> --from coordinator --type dispatch_
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│ └── meta.json
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```
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3. Initialize .msg/meta.json with: workflow_id, mode, target, dimensions, auto flag
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3. Initialize .msg/meta.json with pipeline metadata:
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```typescript
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// Use team_msg to write pipeline metadata to .msg/meta.json
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mcp__ccw-tools__team_msg({
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operation: "log",
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session_id: "<session-id>",
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from: "coordinator",
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type: "state_update",
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summary: "Session initialized",
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data: {
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pipeline_mode: "<default|full|fix-only|quick>",
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pipeline_stages: ["scanner", "reviewer", "fixer"],
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roles: ["coordinator", "scanner", "reviewer", "fixer"],
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team_name: "review",
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target: "<target>",
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dimensions: "<dimensions>",
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auto_confirm: "<auto_confirm>"
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}
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})
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```
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**Success**: Session folder created, shared memory initialized.
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