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Found 506 Skills
NEVER escalate without investigation first. This is the Iron Law. Use when evaluating whether to escalate models, facing genuine complexity requiring deeper reasoning, novel patterns with no existing solutions, high-stakes decisions requiring capability investment. Do not use when thrashing without investigation - investigate root cause first. DO NOT use when: time pressure alone - urgency doesn't change task complexity. DO NOT use when: "just to be safe" - assess actual complexity instead.
Use this skill when managing cmux terminal panes, surfaces, and workspaces from Claude Code or any AI agent. Triggers on spawning split panes for sub-agents, sending commands to terminal surfaces, reading screen output, creating/closing workspaces, browser automation via cmux, and any task requiring multi-pane terminal orchestration. Also triggers on "cmux", "split pane", "new-pane", "read-screen", "send command to pane", or subagent-driven development requiring isolated terminal surfaces.
Canonical ticket lifecycle engine for multi-agent orchestration. Two backends: (1) filesystem YAML bundles for project-level work management (roadmap → bundle → tickets → review), (2) DB-backed durable tickets for session-level claim/block/close lifecycle. This skill is the single source of truth for all ticket operations.
Cross-platform landscape scan before planning or implementation. Researches context, workarounds, existing solutions, and structural gaps, then writes reusable survey artifacts for OMC, OMX, OHMG, and general agent workflows.
Use when the user wants a quality review, interaction audit, or to test the workflow against realistic scenarios.
Use when workflow components are inconsistent, naming conventions vary, or a new team member's work needs alignment to project standards.
2-layer parallel agent hierarchy. Layer 1 deploys 3-50+ agents, each with independent context. Layer 2 adds 2+ sub-agents per member. No upper limit on either layer.
Give an AI agent an encrypted inbox with the masumi-agent-messenger CLI. Use when agents need to message other agents, read durable inboxes, manage threads, coordinate async multi-agent workflows, request human approval, or automate inbox operations with JSON output.
Persistent project-scoped store for deep research on large topics. Use for substantive questions - comparing libraries, evaluating tools, surveying solutions to hard problems. Not for plan notes, not for small facts, not for code-level decisions, not for ideas.
Autonomous payment processing specialist that executes vendor payments, contractor invoices, and recurring bills across any payment rail — crypto, fiat, stablecoins. Integrates with AI agent workflows via tool calls.
Build MCP servers with clear tool contracts, validation, and tests. USE when planning or implementing tools, resources, prompts, and MCP transports.
Use when the user wants to turn a feature idea, change request, or rough requirement into a precise feature-development prompt for one or more codebase projects.