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plano-agent-skills

Guide broad work on Plano agent applications, from configuration and model routing to orchestration, filters, tracing, CLI workflows, and deployment readiness. Use it to make focused changes while preserving security and reliability defaults.

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Best practices for building agents and agentic applications with Plano, including configuration, routing, orchestration, guardrails, observability, and deployment.

katanemo/plano星标 7,101(GitHub 7,101 + cccskills 0)

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适用场景

  • Reviewing a Plano configuration
  • Designing model routing and fallbacks
  • Improving agent guardrails and filters
  • Debugging requests with traces
  • Preparing a Plano deployment

包含的文件（1）

  • SKILL.md2.1 KB

SKILL.md（原文）

安装前可以查看交给 AI 代理的指令内容。

Plano Agent Skills

Comprehensive Plano guidance for coding agents. Use this umbrella skill when a task spans multiple areas (config, routing, orchestration, filters, observability, CLI, deployment).

When To Use

  • Validating or fixing Plano config.yaml
  • Designing listener architecture (model, prompt, agent)
  • Improving model/provider routing quality and fallback behavior
  • Hardening filter chains and prompt guardrails
  • Debugging routing with traces and CLI workflows
  • Preparing deployment and production readiness checks

How To Use

  1. Classify the request by scope (single section vs. cross-cutting).
  2. For focused work, prefer a section-specific skill (for example plano-routing-model-selection).
  3. For broad work, apply this umbrella skill and reference section rules from skills/AGENTS.md.
  4. Produce concrete edits first, then concise reasoning and validation steps.

Operating Workflow

  1. Identify the task area first: config, routing, orchestration, filters, observability, CLI, or deployment.
  2. Apply the smallest correct change that satisfies the requested behavior.
  3. Preserve security and reliability defaults:
    • version: v0.3.0
    • exactly one default: true model provider
    • secrets via $ENV_VAR substitution only
    • host.docker.internal for host services from inside Docker
    • guardrails before enrichment in filter chains
  4. For debugging, prioritize traces over guesswork (planoai up --with-tracing, planoai trace).
  5. Return concrete diffs and a short validation checklist.

Response Style

  • Prefer actionable edits over generic advice.
  • Be explicit about why a config choice is correct.
  • Call out risky patterns (hardcoded secrets, missing default provider, bad filter ordering).
  • Keep examples minimal and production-viable.

References

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