Weak Signal Synthesizer

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.

skills.sh installs: 321
GitHub stars: 422
last updated: Aug 21, 2026

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Install

$ npx -y skills add onewave-ai/claude-skills --skill weak-signal-synthesizer --agent claude-code

Installs into .claude/skills of the current project.

Files

Weak Signal Synthesizer

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.

Instructions

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.

Output Format

# Weak Signal Synthesizer Output

**Generated**: {timestamp}

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## Results

[Your formatted output here]

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## Recommendations

[Actionable next steps]