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weak-signal-synthesizer

3.5

by OneWave-AI

191Favorites
74Upvotes
0Downvotes

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.

trend-analysis

3.5

Rating

0

Installs

Data & Analytics

Category

Quick Review

The skill addresses a novel and valuable use case (weak signal detection for trend forecasting) that would be token-intensive for a standard CLI agent. However, the implementation is severely underdeveloped. While the description clearly articulates WHAT the skill does, the SKILL.md provides only generic template boilerplate without concrete methodology. It lacks specifics on: HOW to monitor these diverse sources (APIs, scraping methods, data collection), HOW to apply 'graph theory' for connection-finding (algorithms, scoring methods), HOW to calculate confidence scores, and WHAT constitutes actionable evidence. The 'Best Practices' and 'Common Use Cases' sections are placeholder text copied from a template rather than tailored guidance. To be useful, this needs concrete search strategies, source prioritization logic, pattern matching algorithms, confidence scoring rubrics, and example outputs showing the multi-source synthesis in action. Currently it's more of a concept than an executable skill.

LLM Signals

Description coverage6
Task knowledge3
Structure4
Novelty5

GitHub Signals

27
6
1
1
Last commit 92 days ago

Publisher

OneWave-AI

OneWave-AI

Skill Author

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Publisher

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OneWave-AI

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