tesla-fleet-api
Use when integrating with Tesla's official Fleet API to read vehicle/energy device data or issue remote commands (e.g. start HVAC preconditioning, wake vehicle, charge controls). Covers onboarding (developer app registration, regions/base URLs), OAuth token flows (third-party + partner tokens, refresh rotation), required domain/public-key hosting, and using Tesla's official vehicle-command/tesla-http-proxy for signed vehicle commands.
fieldfix
Query and manage your heavy equipment fleet through FieldFix's API. Track machines, log maintenance, monitor expenses, and get AI diagnostics.
fleet-analytics-dashboard
Comprehensive fleet performance analytics solution tracking KPIs across fuel, utilization, maintenance, and driver performance
predictive-maintenance-scheduler
Predictive maintenance scheduling skill using telematics data and historical patterns to maximize fleet uptime
Multi-Robot Coordination Skill
Coordination and task allocation for multi-robot systems and fleets
QE Iterative Loop
Quality Engineering iteration loops for autonomous test improvement, coverage achievement, and quality gate compliance. Use when tests need to pass, coverage targets must be met, quality gates require compliance, or flaky tests need stabilization. Integrates with AQE v3 fleet agents for coordinated quality iteration.
agentic-quality-engineering
AI agents as force multipliers for quality work. Core skill for all 19 QE agents using PACT principles.
qe-cicd-pipeline-qe-orchestrator
Orchestrate quality engineering across CI/CD pipeline phases. Use when designing test strategies, planning quality gates, or implementing shift-left/shift-right testing.
qe-agentic-quality-engineering
AI agents as force multipliers for quality work. Core skill for all 19 QE agents using PACT principles.
CI/CD Pipeline QE Orchestrator
Orchestrate quality engineering across CI/CD pipeline phases. Use it when designing test strategies, planning quality gates, or implementing shift-left and shift-right testing.
robotics-design-patterns
Architecture patterns, design principles, and proven recipes for building robust robotics software. Use this skill when designing robot software architectures, choosing between behavioral frameworks, structuring perception-planning-control pipelines, implementing state machines, designing safety systems, or architecting multi-robot systems. Trigger whenever the user mentions behavior trees, finite state machines, subsumption architecture, sensor fusion, robot safety, watchdogs, heartbeats, graceful degradation, hardware abstraction layers, real-time constraints, or software architecture for robots. Also applies to sim-to-real transfer, digital twins, and robot fleet management.
system-learn
Ingest new procedural memory (skills, patterns, docs) into the vector database.
system-init
Initialize or hydrate the agent's memory system and verify configuration.
memory-system
Complete guide to the AgenticFleet memory system. Read this first.
recall
Semantic search for memory. Use to find solutions, patterns, or context from Chroma Cloud.
changelog-generator
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
dspy-agent-framework-integration
Comprehensive guide to integrating DSPy with Microsoft Agent Framework in AgenticFleet, covering typed signatures, assertions, routing cache, GEPA optimization, and agent handoffs.
fleet-agent
Context-aware development assistant for AgenticFleet with auto-learning and dual memory (NeonDB + ChromaDB). Handles development workflows with intelligent context management.
reflect
Analyze the current session and consolidate learnings. Use at the end of a session or task.
python-backend-reviewer
Expert Python backend code reviewer that identifies over-complexity, duplicates, bad optimizations, and violations of best practices. Use when asked to review Python code quality, check for duplicate code, analyze module complexity, optimize backend code, identify anti-patterns, or ensure adherence to best practices. Ideal for preventing AI-generated code from creating unnecessary files instead of imports, finding repeated validation logic, and catching over-engineered solutions.
initiate-memory
Comprehensive guide for initializing or reorganizing agent memory and project context. Use when setting up a new project, when the user asks you to learn about the codebase, or when you need to create effective memory blocks for project conventions, preferences, and workflows.
letta-fleet-management
Manage Letta AI agent fleets declaratively with kubectl-style CLI. Use when creating, updating, or managing multiple Letta agents with shared configurations, memory blocks, tools, and folders.
Equipment Fleet Manager
Manage construction equipment fleet. Track utilization, maintenance, and assignments.
rch
Remote compilation helper. Use when: rch doctor, workers.toml, "no workers", "compilation slow", fleet deploy, self-test, or offload cargo/gcc/bun.
orchestrator-design
Design O-Agent systems for multi-agent fleet management. Use when building orchestrator agents, designing multi-agent architectures, or creating unified interfaces for agent fleet control.
agent-lifecycle-management
Manage agent fleet through CRUD operations and lifecycle patterns. Use when creating, commanding, monitoring, or deleting agents in multi-agent systems, or implementing proper resource cleanup.
agentic-engineering-workflow
Transition from a hands-on "bricklayer" to a high-level "architect" by managing a fleet of autonomous AI agents. Use this when you need to scale engineering output with a small team, handle repetitive migrations/bug fixes, or onboard engineers to complex legacy codebases.
maps-geolocation
Build location-based features with mapping APIs. Use when a user asks to integrate Google Maps, Mapbox, or Leaflet, implement geocoding and reverse geocoding, calculate routes and distances, build store locators, add interactive maps to web apps, implement geofencing, work with GeoJSON, build delivery tracking systems, optimize routes for fleets, display heatmaps, implement address autocomplete, or build any location-aware application. Covers Google Maps Platform, Mapbox, Leaflet, and OpenStreetMap/Nominatim.
farm-monitor
Braiins Farm Monitor - Bitcoin mining fleet monitoring and management
sensor-coverage
Comprehensive Asset Inventory & Coverage Tracker for LimaCharlie. Builds sensor inventories, detects coverage gaps (stale/silent endpoints, Shadow IT), calculates risk scores, validates telemetry health, and compares actual vs expected assets. Use for fleet inventory, coverage SLA tracking, offline sensor detection, telemetry health checks, asset compliance audits, or when asked about endpoint health, asset management, or coverage gaps.
sensor-health
Generate comprehensive sensor health and status reports across all LimaCharlie organizations. Use when users ask about sensor connectivity, data availability, offline sensors, sensors not reporting events, or fleet-wide health queries (e.g., "show me sensors online but not sending data", "list sensors offline for 7 days across all orgs").
fleet-payload-tasking
Deploy payloads and shell commands fleet-wide using reliable tasking. Execute scripts, collect data, or run commands across all endpoints with automatic handling of offline sensors. Use for vulnerability scanning, data collection, software inventory, compliance checks, or any fleet-wide operation.
sensor-tasking
Send tasks (commands) to EDR sensors to gather data or take action. Handles offline agents via reliable-tasking, collects responses via LCQL queries, and creates D&R rules for automated response handling. Use for live response, data collection, forensic acquisition, or fleet-wide operations like "get OS version from all Windows servers" or "isolate all hosts with tag X".
onboard-new-org
Complete organization onboarding wizard for LimaCharlie. Discovers local cloud CLIs (GCP, AWS, Azure, DigitalOcean), surveys cloud projects, identifies VMs for EDR installation and security-relevant log sources (IAM, audit logs, network logs). Guides EDR deployment via OS Config (GCP), SSM (AWS), VM Run Command (Azure). Creates cloud adapters for log ingestion. Confirms sensor connectivity and data flow. Use when setting up new tenants, connecting cloud infrastructure, deploying EDR fleet-wide, or onboarding hybrid environments.
deploying-osquery-for-endpoint-monitoring
Deploys and configures osquery for real-time endpoint monitoring using SQL-based queries to inspect running processes, open ports, installed software, and system configuration. Use when building visibility into endpoint state, threat hunting across fleet, or implementing compliance monitoring. Activates for requests involving osquery deployment, endpoint visibility, fleet management, or SQL-based endpoint querying.
boris-vibe-coding
Use when starting a vibe coding session or managing parallel AI agents for development - fleet management, plan-first execution, browser verification loops, shared team memory
Fleet Management System
Manages vehicle fleets with GPS tracking, maintenance scheduling, and fuel optimization
Fleet Orchestrated Pipeline
Decompose large work into a DAG and execute across parallel worktrees with fleet agents, multi-model code review, auto-applied fixes, and streaming manual review. Use when the user says "fleet orchestrate", "swarm this work", "parallel worktrees", "decompose and implement", or has a large body of work to split into parallel PR-sized tasks.
equipment-fleet-manager
Manage construction equipment fleet. Track utilization, maintenance, and assignments.
Obsidian Daily Journal
Use when the user shares a fleeting thought, discovery, or reflection to categorize and log it in the current day's daily note.