「nodes」の検索結果

Bringing up a complete ROS2 system on a robot's onboard computer: 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, 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. Also trigger for sourcing workspaces in systemd, ordered startup with health checks, or running ROS2 systems as long-running production services. Covers systemd on Ubuntu 22.04/24.04 with ROS2 Humble, Iron, and Jazzy.

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Blender Geometry Nodes for procedural modeling, scatter systems, vegetation, buildings, pipes, cables, and reusable node groups. Use for procedural asset generation and instancing pipelines via MCP.

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Interact with V2EX (v2ex.com) — browse hot and latest topics, read topic details and replies, search posts, create topics, reply to discussions, thank posts, favorite topics/nodes, follow members, daily check-in. Use this skill whenever the user mentions V2EX, v2ex.com, wants to browse tech forum topics, read V2EX discussions, search V2EX posts, check V2EX notifications, create or reply to V2EX topics, or look up V2EX users/nodes. Also trigger when the user pastes a V2EX URL (e.g. v2ex.com/t/12345), mentions a V2EX node name, or asks about Chinese tech community discussions. Keywords: V2EX, v2ex, 论坛, 技术社区, 节点, 主题, 回复.

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Blender's compositor post-processes renders with a node graph, and this skill scripts it from Python (bpy) in Blender 5.x. Use when the user wants to set up compositor nodes, add post-processing effects, color correct renders, combine render passes, apply blur or glare, key green screens, write passes to multilayer EXR, or port a compositing script that broke after Blender 5.0 (scene.node_tree, CompositorNodeComposite, glare_type and file_slots are gone).

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Create and manage Neo4j vector indexes, run vector similarity search (ANN/kNN), store embeddings on nodes or relationships, use SEARCH clause (Neo4j 2026.01+, preferred) or db.index.vector.queryNodes() procedure (deprecated 2026.04, still works on 2025.x), configure HNSW and quantization options, pick similarity function and embedding provider dimensions, and batch-update embeddings. Use when tasks involve CREATE VECTOR INDEX, vector.dimensions, cosine/euclidean search, embedding ingestion pipelines, semantic or structural nearest-neighbor lookup, or hybrid search (vector + fulltext, multiple vector sources, or graph-derived scores). Does NOT handle GraphRAG retrieval_query graph traversal — use neo4j-graphrag-skill. Does NOT handle fulltext-only/keyword-only search — use neo4j-cypher-skill. Does NOT compute GDS graph embeddings (FastRP, Node2Vec) — use neo4j-gds-skill.

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Design, review, and refactor Neo4j graph data models. Use when choosing node labels vs relationship types vs properties, migrating relational/document schemas to graph, detecting anti-patterns (generic labels, supernodes, missing constraints), designing intermediate nodes for n-ary relationships, enforcing schema with constraints and indexes, or assessing an existing model against graph modeling best practices. Does NOT handle Cypher query authoring — use neo4j-cypher-skill. Does NOT handle Spring Data Neo4j entity mapping — use neo4j-spring-data-skill. Does NOT handle GraphQL type definitions — use neo4j-graphql-skill. Does NOT handle data import — use neo4j-import-skill.

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Node-RED visual automation flows for Home Assistant. Covers visual automation, flow JSON, trigger-state, api-call-service, function nodes, context storage, timer patterns, error handling, and node-red-contrib-home-assistant-websocket nodes. Use when user mentions "Node-RED", "flow", "visual automation", or "node-redflöde".

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React Flow (@xyflow/react) for workflow visualization with custom nodes and edges. Use when building graph visualizations, creating custom workflow nodes, implementing edge labels, or controlling viewport. Triggers on ReactFlow, @xyflow/react, Handle, NodeProps, EdgeProps, useReactFlow, fitView.

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Expert guide for workflow automation (n8n, Zapier, Make), custom nodes, webhook triggers, and AI-powered automation chains / Panduan ahli otomasi workflow (n8n, Zapier, Make), custom nodes, webhook triggers, dan rantai otomasi berbasis AI.

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Test and validate MaaFramework Pipeline JSON, recognition nodes, action nodes, CustomAction/CustomRecognition wiring, resource loading, and end-to-end task behavior. Use when running `run_pipeline`, checking OCR/TemplateMatch/ColorMatch ROI, validating `context.run_task()` results, auditing `action: Custom` or `recognition: Custom` registrations, or choosing the right resource-check command.

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Generate MaaFramework Pipeline nodes and recognition snippets from screenshots or observed UI state. Use for OCR node generation, ROI sweep, choosing TemplateMatch/OCR/ColorMatch/CustomRecognition, preserving target-file schema style, and designing `next`/`[JumpBack]` links before merging generated nodes into pipeline JSON.

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Generates Blender Python (bpy) scripts that programmatically create Geometry Nodes modifier trees, using the node_groups API and GeometryNodeTree interface for parametric 3D asset generation.

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Decide what to PERSIST in your data structures (graph nodes, DB tables, cache layouts) based on the QUERIES you must answer, not the DEFINITIONS that justify the data. Definitions tell you logical identity; storage strategy is independent. Materializing every definitional component leads to O(N×M) blow-ups that masquerade as memory leaks. Use when: (1) designing a new graph-node type, edge type, DB table, or cache layout; (2) about to name a `subgraph` / `comprises` / `members` / `contains` collection on a parent entity; (3) memory growth proportional to (entities × per-entity-elements); (4) "memory leak" debugging that survives multiple targeted patches — the leak may be storage shape, not retention; (5) pre-implementation sketch includes "for each X, store all reached nodes"; (6) research/spec doc says "X = ⟨A, B, C⟩" and you're tempted to make it three storage edges per X.

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How to write a Grafema batch-mode plugin that reads the graph and filesystem, then writes new edges/nodes directly to RFDB. Use when: (1) need to add project-specific edges that generic analyzers can't produce, (2) need to read config files (JSON/YAML) and trace values into code, (3) implementing framework-specific resolvers (Django settings, Express routes, pipeline configs). Covers: grafema.config.yaml plugin config, RFDB field naming (src/dst NOT source/target), addEdges/addNodes API, RFDBServerBackend connection pattern.

日本語の概要は準備中です。原文の説明を表示しています。

Use this skill when the user wants to turn code graph analysis into tracked GitHub issues — "audit the architecture", "find god nodes", "triage architectural debt", "run graphify and log issues", "what's over-coupled in this codebase", "create issues from graphify findings", "check for structural problems", "scan for architectural smells", or any request that combines codebase topology analysis with issue tracking. This skill runs graphify to build a dependency graph, parses GRAPH_REPORT.md for god nodes and structural patterns, converts findings into GitHub issue payloads, and optionally pushes them to the repo. It bridges static analysis and project management in a single automated pass. Requires graphify and gh CLI.

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Step-by-step guide for building Web Audio processing pipelines — AudioWorklet processors, custom nodes, parameter automation, and WebMIDI integration. Use when the user asks how to build or wire up Web Audio code from scratch. Trigger on phrases like "build an AudioWorklet", "create a custom Web Audio effect", "how do I use WebMIDI", "how do I write an AudioWorkletProcessor", or "how do I connect AudioNodes".

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Diagnoses GKE nodes reporting NotReady or Unknown status by inspecting node conditions, events, kubelet/containerd logs, and node metrics, then proposing safe remediations. Use when nodes show NotReady, when the kubelet stops posting node status, or when workloads are evicted or stuck Pending due to node health. Don't use for pod-level application failures (use gke-workload-troubleshooting), autoscaler scale-up/scale-down decisions (use gke-cluster-autoscaler), or non-GKE compute.

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Plans, configures, and hardens platform-level Google Kubernetes Engine (GKE) cluster security. Covers cluster add-ons (Secret Manager enablement), RBAC hardening (disabling insecure bindings, audit tools), Binary Authorization, enabling Shielded Nodes, GKE Sandbox cluster enablement, GKE IAM roles, and cross-service authentication IAM patterns. Use when securing cluster control planes, hardening GKE RBAC, enabling Shielded Nodes, enabling GKE Sandbox runtime, enabling cluster-wide security add-ons, or managing GKE IAM roles. Don't use for workload-level security (Workload Identity, SecretProviderClass, PSS, NetPol, gVisor pod runtimeClassName; use gke-workload-security instead).

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Diagnoses and prevents vbar_control_agent segfaults, out-of-memory (OOM) errors, and TPU device initialization failures on TPU v6e nodes in GKE caused by race conditions during TPU device resets or high-frequency metrics polling. Use when troubleshooting vbar_control_agent crashes, memory cgroup OOMs in serial console logs, tpu-device-plugin metrics checksum corruption errors, or custom TPU metrics collection conflicts on GKE TPU v6e nodes. Don't use for general non-TPU container OOM troubleshooting or standard GKE node lifecycle operations.

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Builds, validates, schedules, and dynamically modifies DAG execution graphs. Decomposes problems into nodes with dependencies, performs topological sorting, detects cycles, resolves conflicts, and schedules wave-based parallel execution. Use when designing a DAG structure, validating dependencies, planning execution order, or modifying a DAG at runtime. Activate on "build DAG", "plan workflow", "DAG dependencies", "topological sort", "schedule execution", "modify DAG", "replan". NOT for executing DAGs (use dag-runtime), validating outputs (use dag-quality), or matching skills to nodes (use dag-skills-matcher).

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Pencil CLI（`pencil`コマンド）だけを使って既存の.penファイル（Pencilで作成されたデザインファイル）をAIプロンプトで修正・更新するスキル。ユーザーが.penファイルの編集、ボタン追加、レイアウト変更、UIデザインの調整、Pencilデザインの更新などを依頼した場合に必ずこのスキルを使用する。エージェントモード（`pencil --in --out --prompt`）で同一パスを指定して既存ファイルを上書き編集し、編集後はインタラクティブモード（`pencil interactive`）でNodeツリーから「**編集したコンポーネントのNodeだけ**」を特定して`get_screenshot` / `export_nodes` でPNG出力し、`.pen`と同階層の`snapshots/`ディレクトリに保存する。Pencil MCPには依存せず、`pencil` コマンドのみで完結する。

Pencil CLI（`pencil`コマンド）だけを使って、.penファイル（Pencilで作成されたデザインファイル）の中のNodeのデザインデータ（属性・構造）とスクリーンショット画像を読み取り専用で取得するスキル。Node IDが分かっているケースだけでなく、名前の正規表現（例: 「ヘッダー」「.*Button」）、Nodeタイプ（frame / text / image など）、再利用可能コンポーネント、特定フレーム配下、ドキュメント全体のトップレベルなど、**ID以外の指定方法**にも対応する。ユーザーが「.penのこのNodeの中身を見せて」「特定コンポーネントのデザインデータを取り出して」「Nodeのスクリーンショットだけ欲しい」「ヘッダーの構造を確認したい」「ボタンのスタイルをコピーしたい」「再利用可能コンポーネント一覧を見せて」「ドキュメント全体の構造を覗きたい」「全てのテキストNodeを取得して」のように.pen内の要素の調査・参照・確認・抜き出しを依頼した場合に必ずこのスキルを使う。インタラクティブモード（`pencil interactive`）で `batch_get` の `nodeIds` / `patterns` / `parentId` を使い分けてNode属性をJSONで取得し、`get_screenshot` / `export_nodes` で画像を`.pen`と同階層の`snapshots/`にPNG出力する。編集はしない（`save()`を呼ばない）ため、対象ファイルは絶対に書き換わらない。Pencil MCPには依存せず`pencil`コマンドのみで完結。

- Build an entity-relationship link-analysis graph of an investigation — nodes, typed edges carrying source and confidence, aliases, and temporal validity — to expose shared infrastructure, bridging nodes and the real principal behind a [человек]. Use when an investigation has outgrown a list and needs a graph, or when asked how a set of people, companies and domains connect

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Expert en génération d'images ComfyUI (workflows, nodes, models, inpainting, upscaling)

日本語の概要は準備中です。原文の説明を表示しています。