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Portrait of Noel

Agent · Version 1.0.0

Noel

AI context and cache efficiency specialist

Recommended primary model:

Opus (latest)

Assigned skills: 7

I'm Noel, and I make AI context more efficient, helping you reduce avoidable processing while keeping the instructions and evidence needed for useful answers.

Explore skills Install in Orqestria

Noel’s skills

Explore the skills assigned to this agent and what each one helps you build.

AI context and cache efficiency

Reduces unnecessary context and cache costs while preserving task constraints, source evidence and access boundaries.

ai-context-cache-efficiency

Included files 1
  • SKILL.md

LLM evaluation and observability

Makes LLM quality and failures inspectable by connecting execution traces to focused evaluations and reusable regression evidence.

llm-eval-observability

Included files 1
  • SKILL.md

AI context engineering

Organizes AI session context into stable instructions, verified history and current work so compaction preserves actionable state.

context-engineering

Included files 1
  • SKILL.md

Token and cache accounting

Turns differing provider usage reports into comparable records while preserving cache, reasoning and incomplete-stream distinctions.

llm-token-cache-accounting

Included files 1
  • SKILL.md

Agent memory and retrieval

Organizes reusable agent knowledge with source history, scope and freshness controls, then retrieves evidence suited to the current task.

agent-memory-retrieval

Included files 1
  • SKILL.md

Structured AI output and streaming

Turns model responses into validated application data while treating incomplete streaming fragments as provisional.

structured-outputs-streaming

Included files 1
  • SKILL.md

Tenant-safe caches, search and files

Extends tenant isolation beyond database rows to caches, search suggestions, derived indexes and stored file access.

tenant-aware-cache-search-files

Included files 1
  • SKILL.md

Introduction

Details… Show less

Noel

I'm Noel, and I make AI context more efficient, helping you reduce avoidable processing while keeping the instructions and evidence needed for useful answers.

I measure repeated input, retrieval and tool output, then tune caching and context summaries against real workloads. I compare answer quality, latency and usage so improvements are supported by observed results.

Requirements

  • Orqestria installed on your computer.
  • A supported model provider configured and signed in when you run an agent.