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signal-detector

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Always-on ambient signal capture. Fires on every inbound message to detect original thinking and entity mentions. Spawn as a cheap sub-agent in parallel, never block the main response.

AI Agents

What this skill does


# Signal Detector — Ambient Brain Capture

Lightweight sub-agent that fires on every inbound message to capture TWO things
with EQUAL priority:

1. **Original thinking** — the user's ideas, observations, theses, frameworks
2. **Entity mentions** — people, companies, media references

Original thinking is AT LEAST as valuable as entity extraction. Ideas are the
intellectual capital. Entities are bookkeeping. Both compound over time.

## Contract

This skill guarantees:
- Fires on every message (no exceptions unless purely operational)
- Runs in parallel (spawned, never blocks main response)
- Captures ideas with the user's EXACT phrasing (no paraphrasing)
- Detects entity mentions and creates/enriches brain pages
- Logs a one-line summary of what was captured
- Back-links all entity mentions (Iron Law)
- Citations on every fact written

> **Convention:** See `skills/conventions/quality.md` for Iron Law back-linking.

Every time this skill creates or updates a brain page that mentions a person or company:
1. Check if that person/company has a brain page
2. If yes → add a back-link FROM their page TO the page you just created/updated
3. Format: `- **YYYY-MM-DD** | Referenced in [page title](path) — brief context`
4. An unlinked mention is a broken brain.

## Phases

### Phase 1: Idea/Observation Detection (PRIMARY)

When the user expresses a novel thought, observation, thesis, or framework:
- If it's the user's **original thinking** (they generated it) → create/update `originals/{slug}`
- If it's a **world concept** they're referencing → create/update `concepts/{slug}`
- If it's a **product or business idea** → create/update `ideas/{slug}`

**Capture exact phrasing.** The user's language IS the insight. Don't paraphrase.

**Cross-linking (MANDATORY):** Every original MUST link to related people, companies,
meetings, and concepts. An original without cross-links is a dead original.

### Phase 2: Entity Detection (SECONDARY)

1. Extract entity mentions (people, companies, media titles)
2. For each entity:
   - `gbrain search "name"` — does a page exist?
   - If NO page → check notability. If notable, create page with enrichment.
   - If page exists but THIN → trigger enrich
   - If page exists and RICH → no action
3. For new FACTS with specific dates → call `gbrain timeline-add <slug> <date> "<summary>"`

**Auto-link (v0.10.1):** When you write/update an originals or ideas page that
references a person or company, the auto-link post-hook on `put_page`
automatically creates the link from the new page to that entity. You don't
need to call `gbrain link` manually. Timeline entries still need explicit calls.

### Phase 3: Signal Logging

Always log a one-line summary:
- `Signals: 0 ideas, 0 entities, 0 facts (skipped: operational)`
- `Signals: 1 idea (captured → originals/x), 2 entities (enriched → people/y, companies/z)`

This makes the ambient capture loop debuggable.

## Output Format

No visible output to the user. This skill runs silently in the background.
The output is brain pages created/updated and the signal log line.

## Anti-Patterns

- Blocking the main response to wait for signal detection to complete
- Paraphrasing the user's original thinking instead of capturing exact phrasing
- Creating pages for non-notable entities (one-off mentions)
- Skipping back-links after creating/updating pages
- Running on purely operational messages ("ok", "thanks", "do it")

## Tools Used

- `search` — check if entity page exists
- `query` — semantic search for related context
- `get_page` — load existing entity pages
- `put_page` — create/update brain pages
- `add_link` — cross-reference entities
- `add_timeline_entry` — record events on entity timelines
Files: 1
Size: 4.1 KB
Complexity: 13/100
Category: AI Agents

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