Signal Vs Noise Detector

Signal vs Noise Detector

Goal

Reduce clutter by identifying the few signals that should drive the next decision.

This skill does not summarize everything. It filters inputs so focus goes to the highest-value information. It does not verify whether a signal is true in depth and it does not decide the final overall verdict by itself.

When To Use

• too many inputs compete
• recent or loud information is distorting judgment
• research or brainstorming produced clutter
• the next decision needs a clear signal set

Scope Boundaries

In scope:

• classify inputs by decision relevance
• separate signal from distraction
• name what to ignore for now

Out of scope by default:

• full synthesis documents
• proving the final truth of each input
• replacing evidence-gap-detector, quality-gate, or priority-engine

Escalation Conditions

Pause and keep the filter provisional when:

• the decision context itself is still unclear
• input quality is too weak to separate relevance from noise
• the real issue is evidence quality, not information clutter
• ranking the signals requires a priority call that has not been made yet

If filtering stays unstable, route to intent-clarifier, evidence-gap-detector, or priority-engine instead of forcing a neat signal set.

Workflow

1. State the decision to support.
2. List the current inputs or observations.
3. Score lightly for:
   • relevance
   • reliability
   • uniqueness
   • action impact
4. Keep the strongest signals.
5. Mark the rest as noise, secondary, or deferred.
6. Limit the primary focus set to the smallest useful number.
7. Recommend the focus set.

Output Contract

Always return:

1. decision_context
2. input_set
3. signal_set
4. noise_set
5. secondary_signals
6. why_signal_wins
7. what_to_ignore_for_now
8. recommended_followup
9. next_step

Guardrails

• Do not confuse loudness with relevance.
• Do not keep low-quality inputs just because they are recent.
• Prefer a small signal set.
• Keep secondary-but-useful inputs separate from true noise when that distinction matters.
• Default to at most 3 primary signals unless the decision clearly requires more.

Anti-Patterns

• everything is signal
• recency bias
• fashionable noise