/tuned-context-installer
Tuned Context Installer
Six-stage pipeline to install customer-specific AI context
Bespoke TierUtility & Infrastructure
Overview
Turns raw customer documents (decks, call transcripts, ICP docs) into a four-layer tuned context stack that downstream skills load automatically. Safety model ensures no canonical files are touched until the operator explicitly approves.
What It Does
- Converts PDF/DOCX/PPTX source documents into classified markdown corpus
- Runs structured 5-section operator interview to build signal hypotheses
- Extracts claims via typed extractors with anti-bias citation standards
- Detects tensions (contradiction, time drift, scope drift) between sources
- Publishes atomically to shared contexts only after operator approval
Inputs
- Customer source documents (2+ distinct types)
- Operator interview answers
- Customer slug
Outputs
- Four-layer context stack
- Auto-load rule
- Install audit log
Example
/tuned-context-installer
A new client sends their sales deck, two call transcripts, and an ICP doc. Run /tuned-context-installer, complete the interview, approve, and every downstream skill automatically loads that client's positioning and ICP.
Deep Dives
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This skill ships with every Knowledge OS installation. Set up your system in 90 minutes.
Built and maintained by Victor Sowers at STEEPWORKS