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Ai context engine production

Skill ebarti/skills/ai-context-engine-production

Production deployment of the Context Engine: moderation gatekeepers (two-stage protocol), policy-driven meta-control (the 5 principles), reusable control-deck templates, domain adaptation (legal + marketing case studies), API + worker + Docker + observability deployment topology, and business-value framing for stakeholders. Use this skill when: - Adding moderation gatekeepers (input + output) - Encoding compliance policy outside the model - Building applications on top of the engine via control decks - Adapting the engine to a new vertical (legal, medical, marketing, etc.) - Deploying to production (FastAPI + worker + Docker + observability) - Presenting ROI / business value to non-technical stakeholdersFrom its SKILL.md

Install
npx -y skills add ebarti/skills --skill ai-context-engine-production

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SKILL.md

2.2 KB, 320 tokens by cl100k_base, as published. Nobody here has run it

AI Context Engine Production

Knowledge from "Context Engineering for Multi-Agent Systems" (Chapters 8-10). The safeguards, applications, and deployment topology that take the engine to production.

Quick Start

  1. Check guidelines.md to find which files to load
  2. Load only relevant files (each topic has knowledge.md, rules.md, examples.md)
  3. Apply guidance to your work

Contents

References

CategoryPurpose
moderationTwo-stage moderation protocol, gatekeeper integration, fail-safe
policy-driven-controlThe 5 principles, policy as outermost context layer
control-decksReusable templates: high-fidelity RAG / context reduction / grounded reasoning
domain-applicationsLegal compliance + strategic marketing case studies
production-deploymentFastAPI orchestration, async workers, Docker, observability
business-value5 enterprise capabilities, ROI framing, stakeholder messaging

Workflows

WorkflowPurpose
workflows/add-moderation.mdWire two-stage moderation gatekeeper into the engine
workflows/adapt-to-domain.mdAdapt the engine to a new vertical (legal, medical, marketing, etc.)
workflows/deploy-to-production.mdFull go-live (env → API → workers → Docker → observability)

Guidelines

See guidelines.md for task-based file selection.

What ships with it: 27 files

150.9 KB alongside SKILL.md

references/

workflows/

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