Agent skill · Data & Analytics

demand-sensing-integrator

Real-time demand signal integration from POS, channel data, and external signals for short-term forecast enhancement

a5c-aigithub.com/a5c-aiGitHub ↗
claude-codecodexcan modify filesMIT
Install
npx skills add a5c-ai/babysitter --skill demand-sensing-integrator --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 4 KB
Bundled scripts: none
Allowed tools: -Read-Write-Glob-Grep-Bash
Path: library/specializations/domains/business/supply-chain/skills/demand-sensing-integrator/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,642
Language: JavaScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Demand Sensing Integrator ## Overview The Demand Sensing Integrator captures and processes real-time demand signals from multiple sources including point-of-sale data, channel inventory, weather patterns, social media sentiment, and economic indicators. It enables short-term forecast enhancement by detecting demand pattern changes faster than traditional forecasting methods. ## Capabilities - **POS Data Ingestion**: Real-time point-of-sale data collection and cleansing - **Channel Inventory Visibility**: Multi-channel inventory position integration - **Weather Impact Correlation**: Weather-driven demand adjustments - **Social Media Sentiment Analysis**: Consumer sentiment signal extraction - **Economic Indicator Integration**: Macro-economic factor incorporation - **Market Intelligence Feeds**: Competitor and market signal processing - **Near-Term Demand Adjustment**: Short-horizon forecast corrections - **Signal-to-Noise Filtering**: Distinguish meaningful signals from noise ## Input Schema ```yaml sensing_request: signal_sources: pos_data: object # Point-of-sale feeds channel_inventory: object # Inventory by channel weather_data: object # Weather forecasts/actuals social_signal

What's inside
Steps it walks through
  1. Overview
  2. Capabilities
  3. Input Schema
  4. Output Schema
  5. Usage
  6. Real-Time POS Integration
  7. Weather-Driven Adjustment
  8. Sentiment-Based Demand Signal
  9. Integration Points
  10. Process Dependencies
  11. Best Practices
More from babysitter
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About this skill
What does the demand-sensing-integrator skill do?

Real-time demand signal integration from POS, channel data, and external signals for short-term forecast enhancement

How do I install it?

Run `npx skills add a5c-ai/babysitter --skill demand-sensing-integrator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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