{"slug":"arpitg1304-robotics-design-patterns","name":"robotics-design-patterns","description":"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.","long_description":"---\nname: robotics-design-patterns\ndescription: >\n Architecture patterns, design principles, and proven recipes for building robust robotics software.\n Use this skill when designing robot software architectures, choosing between behavioral frameworks,\n structuring perception-planning-control pipelines, implementing state machines, designing safety\n systems, or architecting multi-robot systems. Trigger whenever the user mentions behavior trees,\n finite state machines, subsumption architecture, sensor fusion, robot safety, watchdogs, heartbeats,\n graceful degradation, hardware abstraction layers, real-time constraints, or software architecture\n for robots. Also applies to sim-to-real transfer, digital twins, and robot fleet management.\n---\n\n# Robotics Design Patterns\n\n## When to Use This Skill\n- Designing robot software architecture from scratch\n- Choosing between behavior trees, FSMs, or hybrid approaches\n- Structuring perception → planning → control pipelines\n- Implementing safety systems and watchdogs\n- Building hardware abstraction layers (HAL)\n- Designing for sim-to-real transfer\n- Architecting multi-robot / fleet systems\n- Making real-time vs. non-real-time tradeoffs\n\n## Pattern 1: The Robot Software Stack\n\nEvery robot system follows this layered architecture, regardless of complexity:\n\n```\n┌─────────────────────────────────────────────┐\n│ APPLICATION LAYER │\n│ Mission planning, task allocation, UI │\n├─────────────────────────────────────────────┤\n│ BEHAVIORAL LAYER │\n│ Behavior trees, FSMs, decision-making │\n├─────────────────────────────────────────────┤\n│ FUNCTIONAL LAYER │\n│ Perception, Planning, Control, Estimation │\n├─────────────────────────────────────────────┤\n│ COMMUNICATION LAYER │\n│ ROS2, DDS, shared memory, IPC │\n├─────────────────────────────────────────────┤\n│ HARDWARE ABSTRACTION LAYER │\n│ Drivers, sensor interfaces, actuators │\n├─────────────────────────────────────────────┤\n│ HARDWARE LAYER │\n│ Cameras, LiDARs, motors, grippers, IMUs │\n└─────────────────────────────────────────────┘\n```\n\n**Design Rule**: Information flows UP through perception, decisions flow DOWN through control. Never let the application layer directly command hardware.\n\n## Pattern 2: Behavior Trees (BT)\n\nBehavior trees are the **recommended default** for robot decision-making. They're modular, reusable, and easier to debug than FSMs for complex behaviors.\n\n### Core Node Types\n\n```\nSequence (→) : Execute children left-to-right, FAIL on first failure\nFallback (?) : Execute children left-to-right, SUCCEED on first success\nParallel (⇉) : Execute all children simultaneously\nDecorator : Modify a single child's behavior\nAction (leaf) : Execute a robot action\nCondition (leaf) : Check a condition (no side effects)\n```\n\n### Example: Pick-and-Place BT\n\n```\n → Sequence\n / | \\\n → Check → Pick → Place\n / \\ / | \\ / | \\\n Battery Obj Open Move Close Move Open Release\n OK? Found? Grip To Grip To Grip\n per Obj per Goal per\n```\n\n### Implementation Pattern\n\n```python\nimport py_trees\n\nclass MoveToTarget(py_trees.behaviour.Behaviour):\n \"\"\"Action node: Move robot to a target pose\"\"\"\n\n def __init__(self, name, target_key=\"target_pose\"):\n super().__init__(name)\n self.target_key = target_key\n self.action_client = None\n\n def setup(self, **kwargs):\n \"\"\"Called once when tree is set up — initialize resources\"\"\"\n self.node = kwargs.get('node') # ROS2 node\n self.action_client = ActionClient(\n self.node, MoveBase, 'move_base')\n\n def initialise(self):\n \"\"\"Called when this node first ticks — send the goal\"\"\"\n bb = self.blackboard\n target = bb.get(self.target_key)\n self.goal_handle = self.action_client.send_goal(target)\n self.logger.info(f\"Moving to {target}\")\n\n def update(self):\n \"\"\"Called every tick — check progress\"\"\"\n if self.goal_handle is None:\n return py_trees.common.Status.FAILURE\n\n status = self.goal_handle.status\n if status == GoalStatus.STATUS_SUCCEEDED:\n return py_trees.common.Status.SUCCESS\n elif status == GoalStatus.STATUS_ABORTED:\n return py_trees.common.Status.FAILURE\n else:\n return py_trees.common.Status.RUNNING\n\n def terminate(self, new_status):\n \"\"\"Called when node exits — cancel if preempted\"\"\"\n if new_status == py_trees.common.Status.INVALID:\n if self.goal_handle:\n self.goal_handle.cancel_goal()\n self.logger.info(\"Movement cancelled\")\n\n# Build the tree\ndef create_pick_place_tree():\n root = py_trees.composites.Sequence(\"PickAndPlace\", memory=True)\n\n # Safety checks (Fallback: if any fails, abort)\n safety = py_trees.composites.Sequence(\"SafetyChecks\", memory=False)\n safety.add_children([\n CheckBattery(\"BatteryOK\", threshold=20.0),\n CheckEStop(\"EStopClear\"),\n ])\n\n pick = py_trees.composites.Sequence(\"Pick\", memory=True)\n pick.add_children([\n DetectObject(\"FindObject\"),\n MoveToTarget(\"ApproachObject\", target_key=\"object_pose\"),\n GripperCommand(\"CloseGripper\", action=\"close\"),\n ])\n\n place = py_trees.composites.Sequence(\"Place\", memory=True)\n place.add_children([\n MoveToTarget(\"MoveToPlace\", target_key=\"place_pose\"),\n GripperCommand(\"OpenGripper\", action=\"open\"),\n ])\n\n root.add_children([safety, pick, place])\n return root\n```\n\n### Blackboard Pattern\n\n```python\n# The Blackboard is the shared memory for BT nodes\nbb = py_trees.blackboard.Blackboard()\n\n# Perception nodes WRITE to blackboard\nclass DetectObject(py_trees.behaviour.Behaviour):\n def update(self):\n detections = self.perception.detect()\n if detections:\n self.blackboard.set(\"object_pose\", detections[0].pose)\n self.blackboard.set(\"object_class\", detections[0].label)\n return Status.SUCCESS\n return Status.FAILURE\n\n# Action nodes READ from blackboard\nclass MoveToTarget(py_trees.behaviour.Behaviour):\n def initialise(self):\n target = self.blackboard.get(\"object_pose\")\n self.send_goal(target)\n```\n\n## Pattern 3: Finite State Machines (FSM)\n\nUse FSMs for **simple, well-defined sequential behaviors** with clear states. Prefer BTs for anything complex.\n\n```python\nfrom enum import Enum, auto\nimport smach # ROS state machine library\n\nclass RobotState(Enum):\n IDLE = auto()\n NAVIGATING = auto()\n PICKING = auto()\n PLACING = auto()\n ERROR = auto()\n CHARGING = auto()\n\n# SMACH implementation\nclass NavigateState(smach.State):\n def __init__(self):\n smach.State.__init__(self,\n outcomes=['succeeded', 'aborted', 'preempted'],\n input_keys=['target_pose'],\n output_keys=['final_pose'])\n\n def execute(self, userdata):\n # Navigation logic\n result = navigate_to(userdata.target_pose)\n if result.success:\n userdata.final_pose = result.pose\n return 'succeeded'\n return 'aborted'\n\n# Build state machine\nsm = smach.StateMachine(outcomes=['done', 'failed'])\nwith sm:\n smach.StateMachine.add('NAVIGATE', NavigateState(),\n transitions={'succeeded': 'PICK', 'aborted': 'ERROR'})\n smach.StateMachine.add('PICK', PickState(),\n transitions={'succeeded': 'PLACE', 'aborted': 'ERROR'})\n smach.StateMachine.add('PLACE', PlaceState(),\n transitions={'succeeded': 'done', 'aborted': 'ERROR'})\n smach.StateMachine.add('ERROR', ErrorRecovery(),\n transitions={'recovered': 'NAVIGATE', 'fatal': 'failed'})\n```\n\n**When to use FSM vs BT**:\n- FSM: Linear workflows, simple devices, UI states, protocol implementations\n- BT: Complex robots, reactive behaviors, many conditional branches, reusable sub-behaviors\n\n## Pattern 4: Perception Pipeline\n\n```\nRaw Sensors → Preprocessing → Detection/Estimation → Fusion → World Model\n```\n\n### Sensor Fusion Architecture\n\n```python\nclass SensorFusion:\n \"\"\"Multi-sensor fusion using a central world model\"\"\"\n\n def __init__(self):\n self.world_model = WorldModel()\n self.filters = {\n 'pose': ExtendedKalmanFilter(state_dim=6),\n 'objects': MultiObjectTracker(),\n }\n\n def update_from_camera(self, detections, timestamp):\n \"\"\"Camera provides object detections with high latency\"\"\"\n for det in detections:\n self.filters['objects'].update(\n det, sensor='camera',\n uncertainty=det.confidence,\n timestamp=timestamp\n )\n\n def update_from_lidar(self, points, timestamp):\n \"\"\"LiDAR provides precise geometry with lower latency\"\"\"\n clusters = self.segment_points(points)\n for cluster in clusters:\n self.filters['objects'].update(\n cluster, sensor='lidar',\n uncertainty=0.02, # 2cm typical LiDAR accuracy\n timestamp=timestamp\n )\n\n def update_from_imu(self, imu_data, timestamp):\n \"\"\"IMU provides high-frequency attitude estimates\"\"\"\n self.filters['pose'].predict(imu_data, dt=timestamp - self.last_imu_t)\n self.last_imu_t = timestamp\n\n def get_world_state(self):\n \"\"\"Query the fused world model\"\"\"\n return WorldState(\n robot_pose=self.filters['pose'].state,\n objects=self.filters['objects'].get_tracked_objects(),\n confidence=self.filters['objects'].get_confidence_map()\n )\n```\n\n### The Perception-Action Loop Timing\n\n```\nCamera (30Hz) ─┐\nLiDAR (10Hz) ─┼──→ Fusion (50Hz) ──→ Planner (10Hz) ──→ Controller (100Hz+)\nIMU (200Hz) ─┘\n\nRULE: Controller frequency > Planner frequency > Sensor frequency\n This ensures smooth execution despite variable perception latency.\n```\n\n## Pattern 5: Hardware Abstraction Layer (HAL)\n\n**Never let application code talk directly to hardware.** Always go through an abstraction layer.\n\n```python\nfrom abc import ABC, abstractmethod\n\nclass GripperInterface(ABC):\n \"\"\"Abstract gripper interface — implement for each hardware type\"\"\"\n\n @abstractmethod\n def open(self, width: float = 1.0) -> bool: ...\n\n @abstractmethod\n def close(self, force: float = 0.5) -> bool: ...\n\n @abstractmethod\n def get_state(self) -> GripperState: ...\n\n @abstractmethod\n def get_width(self) -> float: ...\n\n\nclass RobotiqGripper(GripperInterface):\n \"\"\"Concrete implementation for Robotiq 2F-85\"\"\"\n def __init__(self, port='/dev/ttyUSB0'):\n self.serial = serial.Serial(port, 115200)\n # ... Modbus RTU setup\n\n def close(self, force=0.5):\n cmd = self._build_modbus_cmd(force=int(force * 255))\n self.serial.write(cmd)\n return self._wait_for_completion()\n\n\nclass SimulatedGripper(GripperInterface):\n \"\"\"Simulation gripper for testing\"\"\"\n def __init__(self):\n self.width = 0.085 # 85mm open\n self.state = GripperState.OPEN\n\n def close(self, force=0.5):\n self.width = 0.0\n self.state = GripperState.CLOSED\n return True\n\n\n# Factory pattern for hardware instantiation\ndef create_gripper(config: dict) -> GripperInterface:\n gripper_type = config.get('type', 'simulated')\n if gripper_type == 'robotiq':\n return RobotiqGripper(port=config['port'])\n elif gripper_type == 'simulated':\n return SimulatedGripper()\n else:\n raise ValueError(f\"Unknown gripper type: {gripper_type}\")\n```\n\n## Pattern 6: Safety Systems\n\n### The Safety Hierarchy\n\n```\nLevel 0: Hardware E-Stop (physical button, cuts power)\nLevel 1: Safety-rated controller (SIL2/SIL3, hardware watchdog)\nLevel 2: Software watchdog (moni","tagline":"Architecture patterns, design principles, and proven recipes for building robust robotics software. 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issue activity unavailable in current metadata"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":80,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout."}}},"trust_score_v4":{"version":"trust-score-v4","score":80,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout.","recommendedAction":"Test in a sandbox workflow and compare its install path with close alternatives.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":62,"weight":0.13,"status":"info","detail":"353 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":57,"weight":0.08,"status":"warn","detail":"353 stars, 45 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"25d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"Apache-2.0"},{"id":"documentation","label":"README/SKILL.md completeness","score":86,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":90,"weight":0.12,"status":"pass","detail":"no major dependency risk hints in public metadata"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add arpitg1304/robotics-agent-skills --skill robotics-design-patterns"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":76,"weight":0.07,"status":"info","detail":"shell or command execution"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/arpitg1304/robotics-agent-skills/tree/main/skills/robotics-design-patterns"},{"id":"review_status","label":"Review status","score":88,"weight":0.05,"status":"pass","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"info","label":"GitHub adoption","detail":"353 GitHub stars"},{"status":"warn","label":"Stars/forks activity","detail":"353 stars, 45 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"25d since push"},{"status":"pass","label":"License clarity","detail":"Apache-2.0"},{"status":"pass","label":"README/SKILL.md completeness","detail":"Metadata includes enough usage and workflow context"},{"status":"pass","label":"Dependency/runtime risk","detail":"no major dependency risk hints in public metadata"},{"status":"pass","label":"Install availability","detail":"npx skills add arpitg1304/robotics-agent-skills --skill robotics-design-patterns"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"info","label":"Permission surface","detail":"shell or command execution"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/arpitg1304/robotics-agent-skills/tree/main/skills/robotics-design-patterns"},{"status":"pass","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Install command has no obvious high-risk pattern"],"warnings":["Quality score needs review","Stars/forks activity: 353 stars, 45 forks; issue activity unavailable in current metadata"],"evidence":{"stars":"353 GitHub stars","repoActivity":"353 stars, 45 forks","lastPushed":"25d since push","license":"Apache-2.0","repository":"https://github.com/arpitg1304/robotics-agent-skills/tree/main/skills/robotics-design-patterns","install":"npx skills add arpitg1304/robotics-agent-skills --skill robotics-design-patterns","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add arpitg1304/robotics-agent-skills --skill robotics-design-patterns","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","25d since push"]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Quality score needs review","Stars/forks activity: 353 stars, 45 forks; issue activity unavailable in current metadata"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Human review or sandbox validation is required before automatic installation."},"bestFor":["design-creative","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"],"knownRisks":["Quality score needs review","Stars/forks activity: 353 stars, 45 forks; issue activity unavailable in current metadata"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"outcome_stats":null,"safety":{"score":55,"level":"review_before_install","label":"Review before install","safety_tier":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","summary":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","auto_install_policy":"review","reasons":["High-risk permission hints: Shell or command execution","55/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"safe_to_try","permission_hints":[{"id":"shell","label":"Shell or command execution","reason":"Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.","severity":"high"},{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"database","label":"Database access","reason":"Skill may inspect schemas, query databases, or work with persistent stores.","severity":"medium"}],"policy_warnings":["High-risk permission hints: Shell or command execution","Quality score needs review"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","auto_install_policy":"review","auto_install_allowed":false,"blocked":false,"human_review_required":true,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","reasons":["High-risk permission hints: Shell or command execution","55/100 agent safety score"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"review","score":74,"risk_level":"medium","decision":{"recommendation":"manual_review","reason":"Test manually in an isolated workspace and compare against safer alternatives.","auto_install_allowed":false,"policy":"review","human_review_required":true},"blockers":[],"warnings":["Trust score: Good trust signals with a few areas worth checking before rollout.","Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","Permission surface: shell or command execution","High-risk permission hints: Shell or command execution","Quality score needs review","Stars/forks activity: 353 stars, 45 forks; issue activity unavailable in current metadata"],"validation_plan":["Inspect repository, README/SKILL.md, license, and recent commits before production use.","Install in an isolated workspace or sandbox with no production secrets available.","Run the smallest representative task and record files touched, commands run, network access, and outputs.","Compare the selected skill against at least one alternative when the eval status is review or failed.","Promote only after the agent reports a successful verification result and unresolved warnings are accepted."],"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":84,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate robotics-design-patterns before installing it in an agent workflow","design-creative","Testing and QA workflows; Claude Code teams; builders willing to evaluate younger projects"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add arpitg1304/robotics-agent-skills --skill robotics-design-patterns"]},{"id":"install_safety","label":"Install command safety","status":"pass","score":92,"required_for_auto_install":true,"detail":"standard package or runtime install path","evidence":["npx skills add arpitg1304/robotics-agent-skills --skill robotics-design-patterns"]},{"id":"trust_score","label":"Trust score","status":"warn","score":80,"required_for_auto_install":true,"detail":"Good trust signals with a few areas worth checking before rollout.","evidence":["Strong shortlist","353 GitHub stars","Apache-2.0"]},{"id":"audit_score","label":"Audit score","status":"pass","score":83,"required_for_auto_install":true,"detail":"Safe to try","evidence":["Quality score needs review"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":55,"required_for_auto_install":true,"detail":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","evidence":["Test manually in an isolated workspace and compare against safer alternatives.","High-risk permission hints: Shell or command execution"]},{"id":"readme_skillmd_completeness","label":"README/SKILL.md completeness","status":"pass","score":86,"required_for_auto_install":false,"detail":"Metadata includes enough usage and workflow context","evidence":["Strong README/SKILL.md context"]},{"id":"license_clarity","label":"License clarity","status":"pass","score":86,"required_for_auto_install":true,"detail":"Apache-2.0","evidence":["Apache-2.0"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":100,"required_for_auto_install":false,"detail":"25d since push","evidence":["25d since push"]},{"id":"permission_surface","label":"Permission surface","status":"warn","score":76,"required_for_auto_install":true,"detail":"shell or command execution","evidence":["Shell or command execution: high","Network access: medium","Database access: medium"]},{"id":"alternatives","label":"Alternatives available","status":"info","score":55,"required_for_auto_install":false,"detail":"No close alternatives were found in the current shortlist.","evidence":[]}],"endpoints":{"web":"https://www.openagentskill.com/skills/arpitg1304-robotics-design-patterns/evals","api":"/api/agent/evals?slug=arpitg1304-robotics-design-patterns","text":"/api/agent/evals?slug=arpitg1304-robotics-design-patterns&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"arpitg1304-robotics-design-patterns","name":"robotics-design-patterns","description":"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.","category":"design-creative","url":"https://www.openagentskill.com/skills/arpitg1304-robotics-design-patterns","repository":"https://github.com/arpitg1304/robotics-agent-skills/tree/main/skills/robotics-design-patterns","github_repo":"arpitg1304/robotics-agent-skills"},"suited_tasks":["Testing and QA workflows","Claude Code teams","builders willing to evaluate younger projects","Run test suites","Capture failures","Report what changed after a fix","Inspect source files","Explain architecture"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add arpitg1304/robotics-agent-skills --skill robotics-design-patterns","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add arpitg1304-robotics-design-patterns"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"robotics-design-patterns\" agent skill from https://github.com/arpitg1304/robotics-agent-skills/tree/main/skills/robotics-design-patterns. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"arpitg1304-robotics-design-patterns\",\"task\":\"Install robotics-design-patterns\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"robotics-design-patterns\" as a Claude Code skill from https://github.com/arpitg1304/robotics-agent-skills/tree/main/skills/robotics-design-patterns. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"arpitg1304-robotics-design-patterns\",\"task\":\"Install robotics-design-patterns\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"robotics-design-patterns\" from https://github.com/arpitg1304/robotics-agent-skills/tree/main/skills/robotics-design-patterns into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"arpitg1304-robotics-design-patterns\",\"task\":\"Install robotics-design-patterns\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/arpitg1304-robotics-design-patterns/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/arpitg1304-robotics-design-patterns"},"trust":{"score":80,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"353 GitHub stars","repoActivity":"353 stars, 45 forks","lastPushed":"25d since push","license":"Apache-2.0","repository":"https://github.com/arpitg1304/robotics-agent-skills/tree/main/skills/robotics-design-patterns","install":"npx skills add arpitg1304/robotics-agent-skills --skill robotics-design-patterns","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["design-creative","agent-skill"],"known_risks":["Quality score needs review","Stars/forks activity: 353 stars, 45 forks; issue activity unavailable in current metadata"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":83,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["Quality score needs review","Stars/forks activity: 353 stars, 45 forks; issue activity unavailable in current metadata"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":72,"label":"Strong"},"supply":{"track":"Coding and developer agents","scenario":"Testing and QA","maintenance":"25d since push","risk":"Safe to try"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution","Quality score needs review","Stars/forks activity: 353 stars, 45 forks; issue activity unavailable in current metadata","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"agent_contract":{"task_input":"Use robotics-design-patterns in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 80/100 Strong shortlist","Audit: 83/100 Safe to try","Safety: 55/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"arpitg1304-robotics-design-patterns (robotics-design-patterns)","install_command":"npx skills add arpitg1304/robotics-agent-skills --skill robotics-design-patterns","risk_summary":"Safe to try; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"","skill_slug":"arpitg1304-robotics-design-patterns","task":"Use robotics-design-patterns in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/arpitg1304-robotics-design-patterns","api":"https://www.openagentskill.com/api/agent/skills/arpitg1304-robotics-design-patterns","audit":"https://www.openagentskill.com/skills/arpitg1304-robotics-design-patterns/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=arpitg1304-robotics-design-patterns&task=Use%20robotics-design-patterns%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20robotics-design-patterns%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20robotics-design-patterns%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/arpitg1304-robotics-design-patterns/install","manifest":"https://www.openagentskill.com/api/registry/manifest/arpitg1304-robotics-design-patterns"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"arpitg1304-robotics-design-patterns","name":"robotics-design-patterns","description":"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.","category":"design-creative","url":"https://www.openagentskill.com/skills/arpitg1304-robotics-design-patterns","repository":"https://github.com/arpitg1304/robotics-agent-skills/tree/main/skills/robotics-design-patterns","github_repo":"arpitg1304/robotics-agent-skills"},"suited_tasks":["Testing and QA workflows","Claude Code teams","builders willing to evaluate younger projects","Run test suites","Capture failures","Report what changed after a fix","Inspect source files","Explain architecture"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add arpitg1304/robotics-agent-skills --skill robotics-design-patterns","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add arpitg1304-robotics-design-patterns"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"robotics-design-patterns\" agent skill from https://github.com/arpitg1304/robotics-agent-skills/tree/main/skills/robotics-design-patterns. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"arpitg1304-robotics-design-patterns\",\"task\":\"Install robotics-design-patterns\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"robotics-design-patterns\" as a Claude Code skill from https://github.com/arpitg1304/robotics-agent-skills/tree/main/skills/robotics-design-patterns. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"arpitg1304-robotics-design-patterns\",\"task\":\"Install robotics-design-patterns\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"robotics-design-patterns\" from https://github.com/arpitg1304/robotics-agent-skills/tree/main/skills/robotics-design-patterns into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"arpitg1304-robotics-design-patterns\",\"task\":\"Install robotics-design-patterns\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/arpitg1304-robotics-design-patterns/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/arpitg1304-robotics-design-patterns"},"trust":{"score":80,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"353 GitHub stars","repoActivity":"353 stars, 45 forks","lastPushed":"25d since push","license":"Apache-2.0","repository":"https://github.com/arpitg1304/robotics-agent-skills/tree/main/skills/robotics-design-patterns","install":"npx skills add arpitg1304/robotics-agent-skills --skill robotics-design-patterns","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["design-creative","agent-skill"],"known_risks":["Quality score needs review","Stars/forks activity: 353 stars, 45 forks; issue activity unavailable in current metadata"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":83,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["Quality score needs review","Stars/forks activity: 353 stars, 45 forks; issue activity unavailable in current metadata"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":72,"label":"Strong"},"supply":{"track":"Coding and developer agents","scenario":"Testing and QA","maintenance":"25d since push","risk":"Safe to try"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution","Quality score needs review","Stars/forks activity: 353 stars, 45 forks; issue activity unavailable in current metadata","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"agent_contract":{"task_input":"Use robotics-design-patterns in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 80/100 Strong shortlist","Audit: 83/100 Safe to try","Safety: 55/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"arpitg1304-robotics-design-patterns (robotics-design-patterns)","install_command":"npx skills add arpitg1304/robotics-agent-skills --skill robotics-design-patterns","risk_summary":"Safe to try; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"","skill_slug":"arpitg1304-robotics-design-patterns","task":"Use robotics-design-patterns in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/arpitg1304-robotics-design-patterns","api":"https://www.openagentskill.com/api/agent/skills/arpitg1304-robotics-design-patterns","audit":"https://www.openagentskill.com/skills/arpitg1304-robotics-design-patterns/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=arpitg1304-robotics-design-patterns&task=Use%20robotics-design-patterns%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20robotics-design-patterns%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20robotics-design-patterns%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/arpitg1304-robotics-design-patterns/install","manifest":"https://www.openagentskill.com/api/registry/manifest/arpitg1304-robotics-design-patterns"}},"supply_profile":{"track":{"slug":"coding","label":"Coding and developer agents","shortLabel":"Coding","description":"Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills."},"scenario":{"label":"Testing and QA","description":"I need my agent to test a web app, reproduce bugs, and verify fixes.","useCases":[{"slug":"testing-qa","title":"Testing and QA"},{"slug":"coding-agents","title":"Coding agents"},{"slug":"browser-automation","title":"Browser automation"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add arpitg1304/robotics-agent-skills --skill robotics-design-patterns","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":353,"starsLabel":"353","forks":45,"license":"Apache-2.0","qualityScore":72,"trustScore":80,"auditScore":83},"maintenance":{"status":"fresh","label":"25d since push","daysSincePush":25,"lastPushedAt":"2026-08-12T01:29:38+00:00"},"risk":{"level":"safe_to_try","label":"Safe to try","requiresReview":true,"notes":["Quality score needs review","Stars/forks activity: 353 stars, 45 forks; issue activity unavailable in current metadata"]},"coverageTags":["Coding","Testing and QA","design-creative","agent-skill"]},"audit":{"audit_score":83,"risk_level":"safe_to_try","risk_label":"Safe to try","quality_score":72,"trust_score":80,"maintenance_score":100,"security_score":86,"install_score":92,"warnings":["Quality score needs review","Stars/forks activity: 353 stars, 45 forks; issue activity unavailable in current metadata"]},"quality_signals":{"model":"v2","star_score":17.84,"usage_score":0,"review_score":5.1,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"testing-qa","title":"Testing and QA","url":"https://www.openagentskill.com/use-cases/testing-qa"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"}],"stacks":[{"slug":"coding-review-agent","title":"Coding review agent","url":"https://www.openagentskill.com/collections/coding-review-agent"},{"slug":"browser-qa-agent","title":"Browser QA agent","url":"https://www.openagentskill.com/collections/browser-qa-agent"},{"slug":"frontend-product-ui","title":"Frontend and UI","url":"https://www.openagentskill.com/collections/frontend-product-ui"}],"install":"npx skills add arpitg1304/robotics-agent-skills --skill robotics-design-patterns","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add arpitg1304-robotics-design-patterns","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"robotics-design-patterns\" agent skill from https://github.com/arpitg1304/robotics-agent-skills/tree/main/skills/robotics-design-patterns. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"arpitg1304-robotics-design-patterns\",\"task\":\"Install robotics-design-patterns\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"robotics-design-patterns\" as a Claude Code skill from https://github.com/arpitg1304/robotics-agent-skills/tree/main/skills/robotics-design-patterns. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"arpitg1304-robotics-design-patterns\",\"task\":\"Install robotics-design-patterns\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"robotics-design-patterns\" from https://github.com/arpitg1304/robotics-agent-skills/tree/main/skills/robotics-design-patterns into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"arpitg1304-robotics-design-patterns\",\"task\":\"Install robotics-design-patterns\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/arpitg1304/robotics-agent-skills/tree/main/skills/robotics-design-patterns","github_repo":"arpitg1304/robotics-agent-skills","version":"1.0.0","license":"Apache-2.0","urls":{"web":"https://www.openagentskill.com/skills/arpitg1304-robotics-design-patterns","repository":"https://github.com/arpitg1304/robotics-agent-skills/tree/main/skills/robotics-design-patterns","api":"/api/agent/skills/arpitg1304-robotics-design-patterns","install_api":"/api/skills/arpitg1304-robotics-design-patterns/install"},"meta":{"created_at":"2026-09-03T11:57:28.393348+00:00","updated_at":"2026-09-03T11:57:28.446677+00:00","agent_friendly":true}}