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Signal Detector

  • 172 installs
  • 27.8k repo stars
  • Updated August 5, 2026
  • garrytan/gbrain

Scan noisy feeds, markets, repos, or community chatter to surface weak early signals worth validating before committing build scope or positioning.

About

Signal-detector from garrytan/gbrain helps agents watch heterogeneous inputs and flag emergent patterns—market moves, community chatter, or technical shifts—so founders prioritize hypotheses with evidence instead of intuition alone.

  • Weak-signal surfacing
  • Noise reduction
  • Trend detection
  • Opportunity scouting
  • Research automation

Signal Detector by the numbers

  • 172 all-time installs (skills.sh)
  • Ranked #3,091 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/garrytan/gbrain --skill signal-detector

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Listed on Skillselion
Installs172
repo stars27.8k
Last updatedAugust 5, 2026
Repositorygarrytan/gbrain

What it does

Scan noisy feeds, markets, repos, or community chatter to surface weak early signals worth validating before committing build scope or positioning.

Files

SKILL.mdMarkdownGitHub ↗

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

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