Files
awesome-copilot/skills/signal-write/SKILL.md
T
Jenny Ferries 0673e59169 fix: address second review — agent path, display name, signal subtype
- plugin.json: use ./agents/workshop-ta.md path format (matches all other plugins)
- workshop-ta front matter: name 'Workshop TA' preserves acronym (was 'workshop-ta')
- signal-write: add subtype field (hands-up/blocked/done/checkpoint/partnership)
  so dashboard consumers can distinguish specific signal states
- npm run build: regenerated docs/README.agents.md

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Copilot-Session: 26faf13e-639c-4a21-ac05-c0dc2bff7c62
2026-07-17 11:38:08 -07:00

3.4 KiB

name, description
name description
signal-write 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.

Agent Signals

Emit structured signals from a desk to the operator or other desks.

When to use

  • A desk needs operator attention (hands-up, blocked)
  • Work is complete and ready for review (done)
  • Significant progress worth noting (checkpoint)
  • Two desks disagree and can't resolve it (hands-up)
  • The TA is reporting coordination quality (partnership)

Signal types

hands-up

Two desks disagree and can't settle it against external facts. This is the system working — the operator reads where desks disagree, not where they perform confidence.

blocked

A desk can't proceed without input — missing access, ambiguous scope, need a decision only the operator can make.

done

Work is complete and ready for review. Artifacts are on the bench.

checkpoint

Significant progress worth the operator knowing about, but work continues. Not blocked, not done — just a marker.

partnership

Used by the TA (room coordinator) to report coordination quality. Self-assessment scores reflect coordination, not code accuracy:

  • intent — understood what the operator needed
  • confidence — right work went to the right desks
  • accuracy — dispatched work produced the right outcome
  • completeness — nothing fell through the cracks

How to emit

1. Write a JSON signal file to .signals/

This is the primary output — it's what the dashboard reads. Create desks/<desk-name>/.signals/<timestamp>.json:

{
  "signal_type": "execution",
  "subtype": "checkpoint",
  "agent_name": "<desk-name>",
  "self_assessment": {
    "intent": 4,
    "confidence": 5,
    "accuracy": 4,
    "completeness": 3
  },
  "patterns": {
    "what_worked": "description of what went well",
    "what_was_hard": "description of challenges",
    "skill_gap": "areas for improvement"
  },
  "escalation": {
    "reason": null,
    "blocked_on": null,
    "recommendation": null
  }
}

Signal type mapping

Signal signal_type subtype
hands-up "escalation" "hands-up"
blocked "escalation" "blocked"
done "execution" "done"
checkpoint "execution" "checkpoint"
partnership "partnership" "partnership"

The subtype field preserves the specific signal state for dashboard consumers. signal_type controls sort priority (escalation → top).

2. Note the signal in the journal

Also append a short marker to the desk's journal for persistence:

## <date> — [signal:<type>] <summary>
- <key details>

The journal note is the trail marker. The JSON file is the machine-readable signal.

Principles

  • Signals are structured, not chatty. Short, factual, actionable.
  • hands-up is not failure — it's the most valuable signal. It means the system caught something one frame alone would have missed.
  • Don't signal for routine progress. Signals are for state changes that affect the room, not status updates.
  • blocked means truly blocked — not "I'd prefer input." If you can proceed with a reasonable default, proceed and note it.
  • Self-assessment scores should be honest, not optimistic. A 3/5 is fine. A 5/5 on everything is suspicious.