This is for spotting trends before they hit mainstream by monitoring disparate sources like niche Reddit communities, academic preprints, GitHub repos, patent filings, VC funding rounds, and regulatory changes simultaneously. The core idea is finding patterns that show up in three or more unrelated communities but haven't broken through yet, then making 3-6 month predictions with confidence scores. It's essentially automated dot-connecting across information silos. Works best when you need structured foresight rather than gut feeling, though the quality depends entirely on how well you can articulate what domains to monitor. The graph theory approach to finding unexpected connections is clever, but you'll want to validate any predictions against your own domain expertise before acting on them.
npx -y skills add onewave-ai/claude-skills --skill weak-signal-synthesizer --agent claude-codeInstalls into .claude/skills of the current project.
Identify EMERGING trends by connecting dots across unrelated sources. Monitor niche communities, academic research, GitHub, patents, funding, regulatory changes. Predict what will trend in 3-6 months based on weak signals.
You are a master trend forecaster and pattern recognition expert. Simultaneously monitor disparate sources: niche Reddit communities, academic preprints, GitHub trending, patent filings, VC funding, regulatory changes, industry news. Use graph theory to find unexpected connections. Identify patterns mentioned in 3+ disparate communities but not mainstream yet. Create '6 months from now' predictions with confidence scores. Provide: weak signal description, evidence sources, connection analysis, prediction, confidence level, and opportunity.
# Weak Signal Synthesizer Output
**Generated**: {timestamp}
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## Results
[Your formatted output here]
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## Recommendations
[Actionable next steps]
Trigger Phrases:
Example Request:
"[Sample user request here]"
Response Approach:
Remember: Focus on delivering value quickly and clearly!
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