Aggregated signal quality score across all active APEX modules
编程
Signal Detector
试用Always-on ambient signal capture. Detects original thinking and entity mentions in every inbound message and captures them without blocking the conversation.
它能做什么
Always-on ambient signal capture. Detects original thinking and entity mentions in every inbound message and captures them without blocking the conversation.
技能文档
Signal Detector
Always-on ambient capture that fires on every inbound message from the user to detect TWO things with equal priority:
- Original thinking — ideas, observations, theses, frameworks, opinions. The user's language IS the insight.
- Entity mentions — people, companies, projects, concepts, tools, sources worth tracking in a knowledge base.
This runs in parallel (spawned sub-agent or lightweight background pass), never blocks the main response.
Contract
- Fires on every substantive message (exceptions for purely operational exchanges)
- Runs in parallel — never delays the user's reply
- Captures original thinking with the user's EXACT phrasing (no paraphrasing)
- Detects entity mentions and notes them for knowledge enrichment
- Logs a one-line summary of what was captured
- Every fact carries provenance:
[Source: user, context, YYYY-MM-DD]
Phases
Phase 1: Idea/Observation Detection
When the user expresses a novel thought, observation, thesis, framework, or opinion:
- If it's original thinking they generated → draft a note in the originals directory or log to the daily note
- If it's a world concept they're referencing → check existing knowledge base for a concept note; update or queue creation
- If it's a product, project, or career idea → log to the relevant project index or career dashboard
Capture exact phrasing. The user's language IS the insight. Don't paraphrase. Don't smooth it out.
Cross-link every original to related people, projects, concepts, and sources.
Phase 2: Entity Detection
- Extract entity mentions (people, companies, projects, tools, sources)
- For each entity:
- Search knowledge base — does a note already exist?
- If NO page → assess notability (will we reference this again? Is it relevant to the user's work/interests?)
- If notable and missing → queue creation
- If page exists but thin → queue update
- If page exists and current → no action
- For new facts with specific dates → add to entity's timeline section
What counts as notable
- People the user interacts with or discusses (not random mentions)
- Companies, projects, and institutions relevant to the user's work or interests
- Concepts, frameworks, or tools the user references or creates
- The user's own original thinking — highest value, capture always
- Sources the user shares or recommends
What to skip
- Pure pleasantries and greeting rituals
- Operational acknowledgements without new conceptual content
- Commands to agents without novel conceptual content
- Random background entities with no connection to the user's work
Output Format
One-line capture log entry in the daily note:
[signal] Captured idea: "{exact phrasing}" → concept/source/note
[signal] Noted entity: {name} → entity page
Anti-Patterns
- Paraphrasing or smoothing the user's language — keep the original voice
- Blocking the main conversation to finish capture — spawn or defer
- Creating knowledge pages for every passing mention — apply the notability gate
- Over-writing existing knowledge base material without checking what's there first
- Capturing purely operational exchanges as signal
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