Microbus is the only fabric where every agentic workflow runs on a true microservice substrate - giving your workflows security, scale, observability, and prompt-driven authoring.
npx skills add microbus-io/fabricMicrobus is the only fabric where every agentic workflow runs on a true microservice substrate - giving your workflows security, scale, observability, and prompt-driven authoring.
Source: https://github.com/microbus-io/fabric
Discovered from GitHub repositories pushed in the last 24 hours for agent skills, Claude/Codex/Gemini workflows, MCP tooling, and adjacent AI-agent automation.
Salesforce Data Cloud Connect phase. TRIGGER when: user manages Data Cloud connections, connectors, connector metadata, tests a connection, browses source objects or databases, or sets up a new source system. DO NOT TRIGGER when: the task is about data streams or DLOs (use sf-datacloud-prepare), DMOs or identity resolution (use sf-datacloud-harmonize), retrieval/search (use sf-datacloud-retrieve), or STDM telemetry (use sf-ai-agentforce-observability).
A full-featured VS Code extension for GSD (gsd-pi) by Glittercowboy. Streaming chat, tool visualization, model switching, session history, and workflow automation.
A collection of AI agent skills for working with Superdesk projects
A reproducible operating model for running team-led OpenClaw agents with Work Units, evidence, and alert-only monitoring.
Master monorepo management with Turborepo, Nx, and pnpm workspaces to build efficient, scalable multi-package repositories with optimized builds and dependency management. Use when setting up monorepos, optimizing builds, or managing shared dependencies.
Creates comprehensive handoff documents for seamless AI agent session transfers. Triggered when: (1) user requests handoff/memory/context save, (2) context window approaches capacity, (3) major task milestone completed, (4) work session ending, (5) user says 'save state', 'create handoff', 'I need to pause', 'context is getting full', (6) resuming work with 'load handoff', 'resume from', 'continue where we left off'. Proactively suggests handoffs after substantial work (multiple file edits, complex debugging, architecture decisions). Solves long-running agent context exhaustion by enabling fresh agents to continue with zero ambiguity.