katanemo/plano

plano-cli-operations

Apply Plano CLI best practices. Use for startup troubleshooting, cli_agent workflows, and template-based project bootstrapping.

plano-advanced-patterns

Design advanced Plano architectures. Use for multi-listener systems, prompt target schema quality, and layered orchestration patterns.

plano-agent-orchestration

Improve multi-agent orchestration in Plano. Use for agent registration, agent listener wiring, and capability-focused agent descriptions for accurate routing.

plano-agent-skills

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

plano-config-fundamentals

Validate and fix Plano config fundamentals. Use for config versioning, listener types, provider registration, secrets handling, and startup validation failures.

plano-deployment-security

Apply Plano deployment and production security practices. Use for Docker networking, state storage choices, readiness checks, and environment-based secret handling.

plano-filter-guardrails

Harden Plano filter chains and guardrails. Use for MCP filter setup, prompt guard responses, and safe filter ordering.

plano-observability-debugging

Improve Plano tracing and debugging workflows. Use for sampling strategy, span attributes, and trace query-based root-cause analysis.

plano-routing-model-selection

Optimize Plano model routing and selection. Use for provider defaults, model aliases, passthrough auth, and routing preference quality.

release

Bump the Plano version across all required files. Use when preparing a release.

build-brightstaff

Build the brightstaff native binary. Use when brightstaff code changes.

build-cli

Build and install the Python CLI (planoai). Use after making changes to cli/ code to install locally.

build-wasm

Build the WASM plugins for Envoy. Use when WASM plugin code changes.

check

Run Rust fmt, clippy, and unit tests. Use after making Rust code changes.

new-provider

Add a new LLM provider to hermesllm. Use when integrating a new AI provider.

pr

Create a feature branch and open a pull request for the current changes.

test-python

Run Python CLI tests. Use after making changes to cli/ code.