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
This commit is contained in:
catlog22
2026-03-04 14:52:07 +08:00
parent b203ada9c5
commit f389e3e6dd
56 changed files with 2007 additions and 201 deletions

View File

@@ -95,18 +95,24 @@ For callback/check/resume: load `commands/monitor.md` and execute the appropriat
3. Create subdirectories: `artifacts/solutions/`, `wisdom/`
4. Call `TeamCreate` with team name (default: "planex")
5. Initialize wisdom files (learnings.md, decisions.md, conventions.md, issues.md)
6. Write .msg/meta.json:
```
{
6. Initialize meta.json with pipeline metadata:
```typescript
// Use team_msg to write pipeline metadata to .msg/meta.json
mcp__ccw-tools__team_msg({
operation: "log",
session_id: "<session-id>",
input_type: "<issues|text|plan>",
input: "<raw-input>",
execution_method: "<agent|codex|gemini>",
status: "active",
active_workers: [],
started_at: "<ISO timestamp>"
}
from: "coordinator",
type: "state_update",
summary: "Session initialized",
data: {
pipeline_mode: "plan-execute",
pipeline_stages: ["planner", "executor"],
roles: ["coordinator", "planner", "executor"],
team_name: "planex",
input_type: "<issues|text|plan>",
execution_method: "<agent|codex|gemini>"
}
})
```
---