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AI/ML · Advanced pack

AI Portfolio Router

Allocate work across local, cloud, and premium models so teams maximize capability coverage per dollar and per latency budget.

CodexClaude CodeKimi Codeorchestrator-mcp
Open pack on GitHubBack to catalog

Best use case

Use AI Portfolio Router when you need to allocate work across local, cloud, and premium models so teams maximize capability coverage per dollar and per latency budget, especially when the work is driven by model portfolio and ai roi.

Trigger signals

model portfolioai roirouting strategybudget pressure

Validation hooks

verify_roi_assumptionsverify_text_unchanged

Install surface

Copy the exact command path you need.

Inspect

pip install "orchestrator-mcp[dashboard]"
orchestrator-mcp skills show ai-portfolio-router

Use

orchestrator-mcp skills export ai-portfolio-router --to ./skillforge-packs
# copy the exported pack into your preferred agent environment

Export

cp -R skills/ai-portfolio-router ./your-agent-skills/ai-portfolio-router
# or open skills/ai-portfolio-router/SKILL.md in a markdown-first client

File patterns

**/*.md**/budgets/****/routing/****/config/**

Model preferences

Related skills

Adjacent packs to compose next.

AI/MLAdvanced pack

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Reshape sprawling repositories and briefs into stable context lanes, memory checkpoints, and retrieval boundaries for long-horizon agent work.

CodexClaude Code
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Cost Router Tuner

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Tune provider routing policy for quality, cost ceilings, and fallback behavior across multiple model subscriptions.

CodexClaude Code
Apache-2.0 licensedUse it, fork it, redistribute it. No strings attached.Safety-first by designSecret redaction, release scanning, and no shell execution. Constraints are public.GitHub nativeEvery pack is a real folder. Fork, edit, PR. No hidden backend or proprietary pipeline.