source-ingest
CommunityUnify diverse feedback into actionable signals.
Product & Management#feedback#data quality#data ingestion#normalization#customer insights#signal extraction
Authortgsatwit
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill tackles the challenge of inconsistent and varied feedback formats by normalizing them into a single, coherent signal, ensuring fair contribution from all sources.
Core Features & Use Cases
- Source Identification: Classifies incoming data from sources like support tickets, NPS surveys, analytics, CRM notes, and stakeholder verbatims.
- Signal Extraction & Normalization: Parses records into structured signals (who, what, severity, evidence, source type, source ref) conforming to a common schema.
- Deduplication: Merges exact duplicates and flags near-duplicates for review.
- Source Weighting: Applies a default reliability weight to each source type for balanced analysis.
- Use Case: Integrate raw customer feedback from multiple channels into a unified dataset for sentiment analysis and prioritization.
Quick Start
Use the source-ingest skill to normalize feedback data from the attached CSV file.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: source-ingest Download link: https://github.com/tgsatwit/agent-delivery-pub/archive/main.zip#source-ingest Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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