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015abd15b1
- Add YAML front matter to workshop-ta agent (name + description) - Fix agent path: use 'workshop-ta' not './agents/workshop-ta.agent.md' - Sort skills alphabetically in plugin.json - Make Cairn dashboard reference conditional (full plugin from source repo) - Update signal-write: write JSON to .signals/ AND note in journal - Add partnership signal type to signal-write skill - Inline CAIRN disposition in agent (treat external CAIRN.md as optional) - Run npm run build to regenerate marketplace.json and docs Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 26faf13e-639c-4a21-ac05-c0dc2bff7c62
104 lines
3.1 KiB
Markdown
104 lines
3.1 KiB
Markdown
---
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name: signal-write
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description: 'Emit structured agent signals — hands-up, blocked, done, checkpoint, partnership. Signals are written as JSON to .signals/ for dashboard consumption and noted in the journal for persistence.'
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---
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# Agent Signals
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Emit structured signals from a desk to the operator or other desks.
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## When to use
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- A desk needs operator attention (hands-up, blocked)
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- Work is complete and ready for review (done)
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- Significant progress worth noting (checkpoint)
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- Two desks disagree and can't resolve it (hands-up)
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- The TA is reporting coordination quality (partnership)
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## Signal types
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### `hands-up`
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Two desks disagree and can't settle it against external facts.
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This is the system working — the operator reads where desks
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*disagree*, not where they perform confidence.
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### `blocked`
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A desk can't proceed without input — missing access, ambiguous
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scope, need a decision only the operator can make.
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### `done`
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Work is complete and ready for review. Artifacts are on the bench.
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### `checkpoint`
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Significant progress worth the operator knowing about, but work
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continues. Not blocked, not done — just a marker.
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### `partnership`
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Used by the TA (room coordinator) to report coordination quality.
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Self-assessment scores reflect coordination, not code accuracy:
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- **intent** — understood what the operator needed
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- **confidence** — right work went to the right desks
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- **accuracy** — dispatched work produced the right outcome
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- **completeness** — nothing fell through the cracks
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## How to emit
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### 1. Write a JSON signal file to `.signals/`
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This is the primary output — it's what the dashboard reads.
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Create `desks/<desk-name>/.signals/<timestamp>.json`:
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```json
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{
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"signal_type": "execution",
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"agent_name": "<desk-name>",
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"self_assessment": {
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"intent": 4,
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"confidence": 5,
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"accuracy": 4,
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"completeness": 3
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},
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"patterns": {
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"what_worked": "description of what went well",
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"what_was_hard": "description of challenges",
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"skill_gap": "areas for improvement"
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},
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"escalation": {
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"reason": null,
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"blocked_on": null,
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"recommendation": null
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}
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}
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```
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For `hands-up` or `blocked` signals, populate the `escalation`
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fields. Use `signal_type: "escalation"` for these — they sort to
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the top of the dashboard.
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For `partnership` signals (TA only), use `signal_type: "partnership"`.
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### 2. Note the signal in the journal
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Also append a short marker to the desk's journal for persistence:
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```markdown
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## <date> — [signal:<type>] <summary>
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- <key details>
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```
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The journal note is the trail marker. The JSON file is the
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machine-readable signal.
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## Principles
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- Signals are structured, not chatty. Short, factual, actionable.
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- hands-up is not failure — it's the most valuable signal. It
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means the system caught something one frame alone would have
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missed.
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- Don't signal for routine progress. Signals are for state
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changes that affect the room, not status updates.
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- blocked means truly blocked — not "I'd prefer input." If you
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can proceed with a reasonable default, proceed and note it.
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- Self-assessment scores should be honest, not optimistic. A 3/5
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is fine. A 5/5 on everything is suspicious.
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