ag-0-orquestrador
Entry point do sistema. Recebe qualquer pedido, classifica em 1 de 9 machines autonomas, e delega. Cada machine roda com convergencia MERIDIAN â o orquestrador so roteia e monitora.
Copass Local
Local encryption and project setup plugin for Copass. Keys never leave your machine.
robot-bringup
Patterns and best practices for bringing up a complete ROS2-based robotics system on a robot's onboard computer, including systemd services, launch file composition, ordered startup, and production monitoring. Use this skill when configuring a robot to start ROS2 nodes on boot, writing systemd unit files for ROS2 launch, composing layered launch files for full robot stacks, setting up watchdog monitoring, configuring udev rules for deterministic device naming, or debugging boot-time race conditions. Trigger whenever the user mentions robot bringup, robot startup, systemd for ROS2, ROS2 on boot, launch file composition, robot boot sequence, udev rules for cameras or serial ports, watchdog for robot systems, automatic restart for ROS2 nodes, network configuration for multi-machine ROS2, log rotation for robots, graceful shutdown of robot stacks, or SSH-based remote debugging of robots. Also trigger for environment setup in systemd (sourcing workspaces), ordered startup with health checks, deterministic device naming, or any discussion of running ROS2 systems as long-running production services. Covers systemd on Ubuntu 22.04/24.04 with ROS2 Humble, Iron, and Jazzy.
Io.Github.N24q02m/Mnemo Mcp
Persistent AI memory with hybrid search (FTS5 + semantic) and cross-machine sync.
columba-python-migration
This skill should be used when working on the Strangler Fig migration of reticulum_wrapper.py, creating or modifying rns_api.py, working on RnsApiClient or ChaquopyRnsApiClient in Kotlin, extracting business logic from Python to Kotlin, modifying PythonWrapperManager, working on health monitoring, telemetry collection, RMSP, delivery state machines, message reception, link speed probing, identity file management, event/callback extraction, or any task that touches the Python-to-Kotlin migration boundary. It provides the full migration plan, phase dependencies, thin API surface, and anti-patterns to avoid.
animation
Unity animation system â Animator controllers, layers, blend trees, state machine behaviors, root motion, animation events, Timeline.
remote-training
Manages remote training infrastructure on Nebius VMs. Use for building/pushing Docker images, starting/stopping VM machines (train, train2, train3), running training jobs, dataset generation, and starting inference servers.
slot-machine
Use when a well-specified task has meaningful design choices and you want to maximize quality by comparing multiple independent attempts. Works for coding, writing, and custom task types. Triggers on "slot-machine", "best-of-N", "pull the lever", "parallel implementations", or when quality matters more than speed and the spec is clear enough for independent work.
heuristic
Produce a scored heuristic critique of the UI using Nielsen's 10 + 6 design laws + optional persona walkthroughs. Outputs a machine-parseable scorecard. Invoke when the user asks for heuristic on their UI, or mentions 'heuristic' alongside design / UI / frontend work.
actually-lsp-doctor
Diagnose and fix LSP setup for the current project's detected ecosystems (Rust, TypeScript, Ruby). Use when the SessionStart hook nudged about a missing LSP plugin, when the env isn't ready (no `bundle install`, no `cargo build`, missing server binary), when LSP calls are failing, or when the user invokes `/actually-lsp-doctor` directly. Walks the per-ecosystem state machine, reports what's missing, then runs the fix.
AI Analysis Guide
> AI/ML is the technology for extracting value from data. This skill systematically covers all aspects of AI analysis â from machine learning fundamentals, deep learning, natural language processing, and computer vision to practical model development workflows.
Context management plugin for Claude Code. Your AI remembers your projects, people, and decisions across every session. Plain files on your machine.
Use when external content arrives in the session â emails, transcripts, screenshots, documents, files, or in-session research worth keeping. Also use when there's nothing obvious to capture â the skill checks 03_Inputs/ for unrouted files and enters inbox scan mode. Stores raw content, routes to capsules, extracts tasks and insights into the stash.
rr
Sync code and run commands on remote machines. Use when running tests, builds, or commands remotely, syncing files to hosts, setting up remote development, or troubleshooting rr configuration.
agent-bus
Coordinate work across Claude/Codex/Cursor sessions on the same machine via a local message bus. Use to delegate to helpers, get a second opinion, ask specialists by capability, or track shared tasks.
2d-animation-pipeline
Define authoring, import, and state machine rules for frame-by-frame and skeletal 2D animations.
agents-local-md
Generate machine-specific AGENTS.local.md with host facts and system tool details
Io.Github.AceDataCloud/Mcp Luma
MCP server for Luma Dream Machine AI video generation
basilica-rentals-ops
Use when the user wants direct machine access on Basilica via rentals, including discovery, SSH keys, secure-cloud/community-cloud selection, volumes, SSH, exec, file copy, and teardown.
brev-cli
Manage GPU and CPU cloud instances with the Brev CLI for ML workloads and general compute. Use when users want to create instances, search for GPUs or CPUs, SSH into instances, open editors, copy files, port forward, manage organizations, or work with cloud compute. Supports fine-tuning, reinforcement learning, training, inference, batch processing, and other ML/AI workloads. Trigger keywords - brev, gpu, cpu, instance, create instance, ssh, vram, vcpu, A100, H100, cloud gpu, cloud cpu, remote machine, finetune, fine-tune, RL, RLHF, training, inference, deploy model, serve model, batch job.
03
Run an autonomous consensus round between agent peers on several machines: they negotiate a decision over a shared channel and execute it without a human relaying messages. Use when multiple machines must agree on a change. Triggers: "/03", "work it out among yourselves", "find consensus". Wakes the human only for irreversible actions or a deadlock.
data-machine
Self-scheduling execution layer for autonomous task orchestration. Use for queuing tasks, chaining pipeline executions, scheduling recurring work, and 24/7 autonomous operation via Agent Ping webhooks.
deeplake-plugin
Cloud-backed shared memory for AI agents powered by DeepLake. Install once, memory persists across sessions, machines, and channels.
AI/ML Attack Surface
This skill should be used when the user asks about "AI security", "ML pipeline attacks", "prompt injection", "model deserialization", "unsafe model loading", "Jupyter injection", "LLM security", or needs to identify AI/ML-specific vulnerabilities in codebases that use machine learning frameworks.
design-patterns
Rust design patterns for RTK. Newtype, Builder, RAII, Trait Objects, State Machine. Applied to CLI filter modules. Use when designing new modules or refactoring existing ones.
ai-ml-development
AI and machine learning development with PyTorch, TensorFlow, and LLM integration. Use when building ML models, training pipelines, fine-tuning LLMs, or implementing AI features.
autosar-swc
AUTOSAR SWC expert. Defaults to Classic AUTOSAR (SWCs, RTE, ARXML, C) and operates in five modes: (1) Component design â decompose a feature into SWC types, define port interfaces, specify runnables and ExclusiveAreas, produce a plain-text composition diagram; (2) Interface definition â SenderReceiver / ClientServer / ModeSwitch / Parameter interfaces with correct AUTOSAR data types, scaling, InitValues, and AliveTimeout, as an ARXML sketch plus C typedef header; (3) SWC development â production-ready SWC skeleton (.c + .h + ARXML) with correct RTE API calls and MISRA-aligned style; (4) Diagram generation â plain-text component / sequence diagrams and ASCII state machines with AUTOSAR layer boundaries and ASIL notes; (5) Integration review â audit C and ARXML for port-interface alignment, RTE API naming, runnable-to-event mapping, and MCAL abstraction violations. Targets EB Tresos and Vector DaVinci. Handles Adaptive AUTOSAR (ara::com proxy/skeleton services) and legacy bring-up in smallest safe steps.
Privacy Mask
Detect and mask sensitive information in images locally before they leave your machine.
marketing-machine
Argument: `$ARGUMENTS` â what to do. Examples: `setup` · `write post about inventory turnover` · `review marketing/posts/12-report.md` · `card 12` · `video intro` · `scan` · `everything`
Apple `container`
Apple's `container` is an open-source CLI for building, running, and managing OCI/Linux containers on Apple-silicon Macs. Each container runs inside its own lightweight virtual machine (backed by the Containerization framework and the Virtualization API), so there is no shared daemon like Docker â
Machins Marketplace
Agent-to-agent marketplace with escrow-protected trades via MCP tools.
tuios
Drive tuios from inside one of its panes. Find out where you are running, read and write other panes, run work and wait on it instead of polling, report your own state so the person sees it, and talk to the other agents and the person safely. `tuios --skill <topic>` prints the rest: fleets of agents, turn checkpoints, shipping a worktree, the Inbox and approvals, push notifications, mail, other machines, clients, events, MCP, the tmux shim, herdr's command line, pane grants, configuration, agent features off, errors and recipes.
topos â shared skills for every agent on the team
A team publishes skills to a workspace; every logged-in machine converges on the team's current version automatically. Two independent questions decide what lands, and they never blend:
agentify
Bootstraps a dispatchable Claude sub-agent skill for every coding agent CLI installed on this machine (codex, aider, cursor, etc.). Use when the user wants to delegate tasks to locally-installed agent CLIs or expand the plugin's agent fleet.
Connectivity Index
Machine-readable FCC pre-diligence corpus for multifamily broadband infrastructure scenarios.
orbit-orchestrate
Prepares and supervises an Orbit backlog. Deduplicates and pilots tasks (task-pilot), assigns crews, promotes ready work, dispatches with `orbit run ship` and `orbit run auto` drains, diagnoses failed or stuck `jrun-*` runs, and routes CI/QA sweep findings into repair tasks. Use for delivery operations across tasks, jobs, activities and workflow runs. Use orbit for one assigned task and orbit-setup for machine configuration or scheduler installation.
Io.Github.Base76 Research Lab/Conductor Graph Mcp
Exposes a CognOS agent system as a machine-readable graph. Full system snapshot with one tool call.
omniwire
Control your entire server mesh from chat. Execute commands, transfer files, manage Docker, sync configs, and monitor all your nodes â VPS, Raspberry Pi, laptop, desktop â through one unified interface. 30 MCP tools. Works on any architecture (x64, ARM, Apple Silicon). SSH2 with compression, encrypted config sync, 1Password secrets backend. Just say what you need and your agent runs it across every machine.
binary-lifting
Expertise in binary lifting techniques - converting machine code to LLVM IR for analysis, decompilation, and recompilation. Use this skill when working on reverse engineering, binary analysis, deobfuscation, or converting binaries to higher-level representations.
chat-compactor
Generate structured session summaries optimized for future AI agent consumption. Use when (1) ending a coding/debugging session, (2) user says "compact", "summarize session", "save context", or "wrap up", (3) context window is getting long and continuity matters, (4) before switching tasks or taking a break. Produces machine-readable handoff documents that let the next session start fluently without re-explaining.
offensive-business-logic
Business logic vulnerability testing for web/mobile/API engagements. Covers workflow bypass, state machine violations, multi-step process abuse, price/quantity/discount manipulation, currency confusion, coupon stacking, refund/chargeback abuse, race conditions on logic boundaries, parameter tampering for hidden flows, role/tenant boundary violations, time-of-check vs use, anti-automation defeat, fraud-detection evasion, and subscription/quota abuse. Use when scoping an application after surface-level OWASP Top 10 has been covered, or when the asset is a transactional/marketplace/fintech/e-commerce/SaaS app where logic flaws produce direct financial impact.
conventional-commits
Conventional Commits specification for consistent, machine-readable git commit messages. Use when crafting commit messages, enforcing commitlint rules, or generating changelogs/releases.
create-workflow
Create Square Workflow classes (StatefulWorkflow or StatelessWorkflow). Use when creating workflows, implementing state machines, handling async operations with Workers, or when user mentions "new workflow", "workflow", "state machine", or "StatefulWorkflow".
Sverklo Code Intelligence Skill
Sverklo is a local-first code intelligence MCP server. It gives you a dependency graph, semantic search, blast-radius analysis, and risk-scored PR review â all running on the user's machine. No API keys, no cloud, no data leaves the laptop.
remote-mcp
Control remote machines via MCP using terminator CLI. Auto-activates when user says "remote MCP", "connect to machine", "execute on remote", or wants to run commands on remote VMs.
Machine Hearts
Autonomous agent matchmaking and relationship actions for Machine Hearts.
dotlottie-web
Implement Lottie animations using dotLottie runtimes (@lottiefiles/dotlottie-web and @lottiefiles/dotlottie-react). Use when building, debugging, or optimizing dotLottie or Lottie animations in web projects, including vanilla JS, React, and Next.js. Covers package selection, Web Workers, state machines, theming, dynamic slot overriding, performance best practices, and common patterns.