Guides expert-level ai deployment patterns implementation: ai-ml and devops decision frameworks, production-ready patterns, and concrete templates for ai deployment patterns workflows. Use when the user asks about ai deployment patterns, ai deployment patterns configuration, or ai-ml best practices for ai projects. Do…
Manage persistent coding sessions across Claude Code, Codex, Antigravity (agy), Grok Build, and OpenCode engines. Use when orchestrating multi-engine coding agents, starting/sending/stopping sessions, running multi-agent council collaborations, cross-session messaging, ultraplan deep planning, ultrareview parallel…
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Synthesize findings from multiple specialist agents into a coherent investment recommendation. Use when combining reports from 9+ specialist agents into a single decision document.
Work on an assigned Agent Kanban v2 Task through Realmroot Toolbox. Use when an Agent running in an Agency Session needs to inspect, claim, update, or submit assigned work.
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Install and use the semantix memory kernel as a middleware in your agent: extract user preferences / workflows / experience from past sessions, retrieve and inject them on demand. One binary + your agent's own tools.
Search the internal knowledge base for runbooks, architecture documentation, ADRs, best practices, and troubleshooting guides using RAG. Use when looking for internal documentation, deployment procedures, architecture decisions, or operational runbooks.
Configure and verify CodexLoom external platform integrations with the loom CLI. Use when inspecting or changing Connections, Agent Addresses, DM access, group/channel Conversation Memberships, trigger and reply policies, allow/block rules, trust domains, or Inbox/Outbox delivery for Feishu/Lark, Slack, Parall, and…
Multi-round negotiation protocol — covers both initiator and peer roles. Use when about to call negotiate(), when receiving a intent block as a peer, or when receiving an 'escalated' sentinel from a blocked respondnegotiate. Covers proposal crafting, counter-strategy, deadlock detection, when to accept early…
In-flight adversarial check on a non-trivial decision BEFORE it stands — distinct from post-hoc review of a finished diff. Use on "stress-test this decision", "are we sure about this", "verify before commit", "poke holes in this", when working in unfamiliar code, or before an irreversible step (migration, prod deploy…
Set up Cotal on this machine: install it, start a local agent mesh (NATS + JetStream), verify it, and put an agent on it. Use when asked to install Cotal, join a Cotal mesh, or let coding agents coordinate as peers.
Mission control dashboard for OpenClaw - real-time session monitoring, LLM usage tracking, cost intelligence, and system vitals. View all your AI agents in one place.
Run scalable, isolated live QA for nac development. The top-level local orchestrator must parse n (default 4), dispatch one setup worker with this skill, copy its n assignment contracts verbatim into exactly n parallel test workers with this skill, then dispatch one aggregate worker with this skill using all test…
A set of rules that makes an agent check its memory and available skills before handling professional tasks such as coding, file work, data analysis, or deployment.
Guide users through the MUXI platform -- infrastructure for AI agents. Covers installation (CLI and server), server setup and configuration, CLI commands and workflows, secrets management, writing formations (Agent Formation Schema), deploying formations, registry operations, and using both the Server API and…
A Skill for creating a CoordClaw multi-agent collaborative team. Through an 8-step standardized process, from requirement gathering to team validation, rapidly build a complete AI team.
AI agent orchestrator — manage teams of AI agents that work on your codebase in parallel. Use when the user wants to: run multiple agents, coordinate AI work, deploy agent teams, manage tasks/goals/agents, check orchestrator status, or mentions 'orch', 'orchestry', 'agents team', 'agent orchestration'.
Continuously execute a complex multi-phase implementation plan through configurable worker-agent loops until the plan is complete or a genuinely human-level blocker is reached. Uses fresh implementation and review contexts, reviewer-led repair, fresh re-review, durable multi-orchestrator state, and main-orchestrator…
Create and update validated pragma/v5 Expert, ExpertTeam, Flow, Evaluation, and Automation resources. Use when a user asks Pragma to create, change, configure, test, evaluate, or repair an Expert, team, Flow, Run Dry suite, schedule, trigger, or Automation in the current Pragma project.
Write and run dynamic workflows: short JavaScript scripts in Claude Code's workflow dialect, run with the odw CLI outside the host agent's context, fanning subtasks out to coding-agent CLIs (Codex, Claude Code, Gemini, Qwen, Kimi, or your own) in a background process and handing back only the final result. Use this…
Plan architecture improvements and refactoring for a codebase: scan for deepening opportunities (shallow modules, leaky seams, low-leverage interfaces), present candidates as a markdown report with before/after diagrams, interview the user through the chosen design, and decompose the outcome into devchain epics. Use…
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At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: