plano/skills/plano-agent-skills/SKILL.md
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add Plano agent skills framework and rule set (#797)
* feat: add initial documentation for Plano Agent Skills

* feat: readme with examples

* feat: add detailed skills documentation and examples for Plano

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Co-authored-by: Adil Hafeez <adil.hafeez@gmail.com>
2026-04-16 13:16:51 -07:00

2.1 KiB

name description license metadata
plano-agent-skills Best practices for building agents and agentic applications with Plano, including configuration, routing, orchestration, guardrails, observability, and deployment. Apache-2.0
author version
katanemo 1.0.0

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