plano-advanced-patterns
Design advanced Plano architectures. Use for multi-listener systems, prompt target schema quality, and layered orchestration patterns.
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Design advanced Plano architectures. Use for multi-listener systems, prompt target schema quality, and layered orchestration patterns.
Improve multi-agent orchestration in Plano. Use for agent registration, agent listener wiring, and capability-focused agent descriptions for accurate routing.
Best practices for building agents and agentic applications with Plano, including configuration, routing, orchestration, guardrails, observability, and deployment.
Validate and fix Plano config fundamentals. Use for config versioning, listener types, provider registration, secrets handling, and startup validation failures.
Harden Plano filter chains and guardrails. Use for MCP filter setup, prompt guard responses, and safe filter ordering.
Enables live interaction with the NetAlertX runtime. This skill configures the Model Context Protocol (MCP) connection, granting full API access for debugging, troubleshooting, and real-time operations including database queries, network scans, and device management.
Index of all available skills across both Gemini CLI (.gemini/skills/) and GitHub Copilot (.github/skills/). Load this to find the right skill for a task, or to locate the counterpart skill in the other AI system.
How stagewise's agent history compression pipeline works — boundary selection, recency bias, chained compressions, and the SQLite-backed test harness for replaying real compressions in LLM playgrounds. Use when debugging, tuning, or extending history compression, when investigating context-window overflow, or when the user wants to probe compression quality against real chat histories.
Create, extract, or update a skill. Use when authoring a new skill from scratch, extracting knowledge from the current session, or updating an existing skill when the user's intentions contradicted skill guidance or content is confusing/outdated.
Helps developers create a NeMo Guardrails configuration for an LLM application. Use when users want to build, scaffold, configure, test, or iterate on input, output, retrieval, dialog, execution, Colang, or catalog-based guardrails. Trigger keywords - create guardrails, build guardrails, scaffold config, write rails, create config.yml, add input rails, add output rails, Colang flow, guardrails config, test guardrails.