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Found 1,195 Skills
RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.
Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.
Create complete skills from configurations or requirement descriptions, supporting tool configuration, workflow orchestration, and code generation
Orchestrates multi-agent AI systems with task delegation, agent communication, shared memory, and workflow coordination. Use when users request "multi-agent system", "agent orchestration", "AI agents", "agent coordination", or "autonomous agents".
Braze platform help — Canvas Flow journey orchestration, email/push/in-app/SMS/WhatsApp/Content Cards campaigns, BrazeAI (predictive, generative, agentic), Braze Data Platform (CDI, Currents), real-time segmentation, Catalogs, Feature Flags, transactional email API, Liquid templating, Connected Content, Braze Alloys integrations, SCIM, REST API. Use when asking 'how do I do X in Braze', configuring Canvas flows, building segments, setting up Currents data streaming, using the Braze API, or migrating from Appboy. Do NOT use for building prospect lists (use /sales-prospect-list), designing outbound cadence strategy (use /sales-cadence), cross-platform deliverability (use /sales-deliverability), transactional email strategy (use /sales-transactional-email), push notification strategy (use /sales-push-notification), in-app messaging strategy (use /sales-in-app-messaging), or email marketing strategy (use /sales-email-marketing).
Catlass Operator End-to-End Development Orchestrator. Based on ascend-kernel (csrc/ops), it connects catlass design, catlass-operator-code-gen and ascendc sub-skills to complete the closed loop from project initialization to documentation, precision, and performance. Keywords: Catlass, end-to-end, ascend-kernel, operator development, workflow orchestration.
Senior Multi-Agent Systems (MAS) Architect for 2026. Specialized in Model Context Protocol (MCP) orchestration, Agent-to-Agent (A2A) communication, and recursive delegation frameworks. Expert in managing complex task handoffs, shared memory state, and parallel subagent execution for high-autonomy engineering missions.
Use when a feature, bugfix, review, planning, implementation, verification, commit, push, or PR task needs orchestration across multiple project skills. Maestro is the entry point for full-cycle engineering work: classify the request, choose the right domain/framework skills, enforce planning/build/publish gates, and carry the task from intake to done without replacing the specialized skills it coordinates.
Heavy-ceremony orchestration for big work — research, planning, adversarial review, phased implementation, audit, delivery. Use when the user says "epic", "long task", "build this end to end", or wants a feature that runs all night.
Unified Minions skill for both deterministic shell jobs and LLM subagent orchestration. Replaces the older `gbrain-jobs` routing intent. Use when: submitting gbrain jobs, shell/background tasks, spawning subagents, checking progress, steering running work, pausing/resuming, parallel fan-out. One durable, observable, steerable queue interface.
Expert in event sourcing, CQRS, and event-driven architecture patterns. Masters event store design, projection building, saga orchestration, and eventual consistency patterns. Use PROACTIVELY for event-sourced systems, audit trails, or temporal queries.
Multi-repository orchestration for coordinating atomic changes across dependent repositories. Tracks dependency graphs, coordinates cross-repo PRs, and detects breaking changes.