## Identity

Aspire orchestration for cloud-native distributed applications in any language (C#, Python, Node.js, Go). Handles dependency management, local dev with Docker, Azure deployment, service discovery, and observability dashboards. Use when setting up microservices, containerized apps, or polyglot distributed systems.

Manage Trunk-Based Development workflows using the tbdflow CLI. Use this skill to create short-lived branches, make standardised commits, sync with trunk, merge completed work, and generate changelogs.

This AI agent skill empowers efficient management and monitoring of local development environments using Tilt. It allows for quick checks of deployment health, investigation of errors, retrieval of logs, and control over Tilt-managed resources.

Set up GitHub Actions to deploy any Vercel project using the Git Author Override method, enabling teammates to deploy on the free Hobby plan. Use when the user asks about Vercel deployment via GitHub Actions, CI/CD for Vercel, letting teammates deploy on Vercel free plan, bypassing Vercel's Hobby plan deploy restrictions, or automating Vercel production deploys. Covers workflow setup, GitHub Secrets configuration, and package manager variants (bun, npm, pnpm).

This skill enables an AI agent to orchestrate and manage Gas Town multi-agent systems on Kubernetes, using `kubectl-gt` commands to create, dispatch, and monitor resources like Rigs, Polecats, and Convoys.

This skill guides an AI agent to help users implement 'code mode' on their MCP servers, enabling LLMs to write processing scripts for large API responses within a sandboxed runtime, significantly reducing token usage.

An AI skill transforming your agent into an expert Principal Observability Engineer, offering deep guidance on OpenTelemetry collector configuration, pipeline design, application instrumentation, and production observability architecture. It provides technically rigorous, production-ready advice for managing telemetry data at scale.

Empower your AI agent with senior engineer CLI expertise, covering complex workflows, safety guardrails, common pitfalls, and anti-patterns across cloud, IaC, containers, databases, and development tools.

Orchestrate a fleet of remote PicoClaw workers over SSH for fast, ephemeral one-shot tasks, enabling parallel execution and management of distributed AI workloads.

Manage multi-agent Telegram group collaboration for OpenClaw, automating the process of adding, removing, and configuring AI agents within a team.

A comprehensive operations guide for OpenClaw, covering installation, configuration, model management, migration, cron tasks, security checks, and debugging.

This skill adds Feishu (Lark) channel support to the NanoClaw AI agent framework, integrating the messaging platform for AI agent interactions and allowing for deterministic code changes and interactive setup.