Use when implementing or debugging ANY network connection, API call, or socket in an Apple app. Covers URLSession, Network.framework, NetworkConnection, connection diagnostics.
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。
2,323 件 ・ 関連度順
概要と使いどころ
Use when implementing or debugging ANY network connection, API call, or socket in an Apple app. Covers URLSession, Network.framework, NetworkConnection, connection diagnostics.
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。
Discovers connected MATLAB-supported hardware devices, searches by capability, and checks required support packages and add-ons. Use when the user asks what hardware is connected, finds a device that supports a capability (e.g., CAN, analog input), or checks if required support packages or add-ons are installed. Does NOT connect to, configure, or acquire data from devices — defers to device-specific skills for usage workflows.
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。
Connect to a WordPress site via WP-CLI over SSH or the REST API. Check CLI, test SSH, set up auth, verify access, save config. Use whenever the user wants to connect to a WordPress site, set up WP-CLI access, create an Application Password, or troubleshoot WordPress connection / auth issues.
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。
TOM and ADOMD.NET guidance via PowerShell for connecting to Power BI Desktop's local Analysis Services instance. Covers model enumeration, DAX queries, metadata modification, annotations, calendar definitions, field parameters, query tracing, DAX library package management (daxlib.org), and the Desktop Bridge for reloading and screenshotting the report canvas. Automatically invoke when the user mentions "Power BI Desktop", "Analysis Services port", "TOM", "ADOMD", "daxlib", "DAX library", "DAX UDF package", or asks to "connect to PBI Desktop", "query PBI Desktop with DAX", "modify PBI Desktop model", "add a measure to PBI", "capture visual queries", "create a field parameter", "validate DAX", "intercept DAX queries", "install daxlib", "add DAX SVG", "add IBCS", "reload the report canvas", "screenshot a report page", "Desktop Bridge", or to work with the model and report in Power BI Desktop together.
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 when adding a Power Platform connector to an Expo/React Native Power Apps mobile app and no dedicated mobile connector skill exists.
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。
Adds any Power Platform connector to a Power Apps code app. Generic fallback for connectors not covered by a specific skill.
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。
Show integrations status: connected and available connectors, what each unlocks. "which connectors do I have"
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。
Connect a known MCP integration: check the registry and status, return exact setup steps. "connect Google Ads"
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。
Critically assess and improve a legal scholarly thesis, article idea, student note, seminar-paper claim, or research agenda using Eugene Volokh's novelty, nonobviousness, utility, and soundness framework, connector-aware research, claim-specific tests, and a sustainable adversarial pass. Produces a self-contained green-, yellow-, or red-light report. Use when a law professor or law student asks whether a claim is viable, novel, publishable, preempted, useful, worth pursuing, or better than competing topics; or wants a thesis stress-tested, narrowed, repaired, or compared. No connector is required: use connected legal and scholarly research when available, public sources otherwise, and disclose any no-research fallback.
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。
When you want to capture into, compile, query, lint, or connect your personal Second Brain. Wraps the Karpathy LLM Wiki schema (Obsidian or any markdown vault) — raw/ (unprocessed sources), wiki/ (AI-compiled interlinked topic pages), outputs/ (generated artifacts). Tool-agnostic in design but defaults to a vault at ${SECOND_BRAIN_VAULT:-$HOME/Documents/SecondBrain}/. Six modes — capture (drop something into raw/), compile (process unprocessed raw files into wiki pages, update INDEX.md), query (answer a question from the wiki, save to outputs/), lint (orphans / contradictions / stale / unprocessed raw / topic gaps), connect (suggest new wikilinks between pages), search (quick lookup). Triggers on "/second-brain," "/sb," "capture this," "save this to my brain," "compile the wiki," "process raw notes," "query my wiki," "ask my brain," "lint the wiki," "find connections," "search my notes." Complements deep-research (external corpus) — this is the internal corpus.
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。
Map curriculum connections across multiple subjects for a real-world problem or authentic context. Use when planning cross-curricular projects or connecting content to real issues.
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。
Integrate ManagedCode.Orleans.SignalR for grain-driven SignalR delivery, connection and group routing, offline user queues, and restart-safe state. USE FOR: Orleans backplane setup, grain-to-hub publishing, reconnect, heartbeat, and client-invocation failures. DO NOT USE FOR: ordinary SignalR without Orleans or unrelated persistence. INVOKES: inspect configuration, implement the integration, and validate connected-client delivery.
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。
Connect to a hospital's FHIR R4 server (Epic, Oracle Health/Cerner, MEDITECH, athenahealth, or any SMART-on-FHIR endpoint), pull a patient's clinical data and notes, and extract structured findings. Use when users say "connect to the EHR", "connect to Epic/Cerner", "pull notes for patient X", "what do the last 6 months of notes say about Y", or any task that starts from a live EHR rather than pasted text.
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。
Configure secure, high-performance connectivity between on-premises infrastructure and cloud platforms using VPN and dedicated connections. Use when building hybrid cloud architectures, connecting data centers to cloud, or implementing secure cross-premises networking.
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。
Build custom Python data sources for Apache Spark using the PySpark DataSource API — batch and streaming readers/writers for external systems. Use this skill whenever someone wants to connect Spark to an external system (database, API, message queue, custom protocol), build a Spark connector or plugin in Python, implement a DataSourceReader or DataSourceWriter, pull data from or push data to a system via Spark, or work with the PySpark DataSource API in any way. Even if they just say "read from X in Spark" or "write DataFrame to Y" and there's no native connector, this skill applies.
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。
Connecticut Data Privacy Act (CTDPA) compliance. Covers consumer rights, controller obligations, dark pattern prohibition, loyalty program exemption, universal opt-out requirement effective January 2025, sensitive data consent, and AG enforcement. Effective July 1, 2023.
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。
Fix Gorse recommendation engine failing to connect to ClickHouse Cloud with EOF errors. Use when: (1) Gorse pods crash with "failed to connect data database" and "EOF" error, (2) Using ClickHouse Cloud (*.clickhouse.cloud) as Gorse data store, (3) TLS connection works (verified with openssl) but Gorse still fails, (4) Tried secure=true, different ports (8443, 9440), timeout params without success. The Gorse ClickHouse driver is incompatible with ClickHouse Cloud's native protocol.
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。
Fix NIP-46 nostrconnect:// URLs not being recognized by signer apps (Amber, nsec.app, nsecBunker). Use when: (1) QR code or URL paste fails in signer app despite valid-looking URL, (2) Using metadata JSON object instead of separate query params, (3) Implementing client-initiated NIP-46 connections. The NIP-46 spec requires name/url/image as separate query parameters, not a metadata JSON object.
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。
Think and work like an expert Connectomics Scientist. Use when a task calls for Connectomics Scientist judgment. Reasons from vEM acquisition and petascale alignment through FFN/RoboEM segmentation, FlyWire/neuPrint/MICrONS/H01 graphs, and synapse-level QC while treating split/merge errors, alignment tears, false synapses, and release-version drift as first-class failure modes.
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。
Expert patterns for Neon serverless Postgres, branching, connection pooling, and Prisma/Drizzle integrationUse when "neon database, serverless postgres, database branching, neon postgres, postgres serverless, connection pooling, preview environments, database per preview, neon, postgres, serverless, database, branching, prisma, drizzle, connection-pooling" mentioned.
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 when reading from or writing to Neo4j with Apache Spark or Databricks using the Neo4j Connector for Apache Spark 6.0 (org.neo4j.connectors:spark) or 5.x (org.neo4j:neo4j-connector-apache-spark). Covers SparkSession setup, DataFrame reads via labels/Cypher/relationship scan, DataFrame writes with SaveMode, node.keys for MERGE, relationship write mapping, partition and batch tuning, PySpark and Scala examples, Databricks cluster config, Databricks secrets for credentials, Delta Lake to Neo4j pipelines. Does NOT handle Cypher authoring — use neo4j-cypher-skill. Does NOT handle the Python bolt driver — use neo4j-driver-python-skill. Does NOT handle GDS algorithms — use neo4j-gds-skill.
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。
Connect warehouses and BI tools (Tableau, Looker, Power BI) to Monte Carlo with API v2 tools: show what exists, reference credentials, create, validate and fix connections. Use to connect or onboard platforms, or to generate Terraform or a script.
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。
Map curriculum connections across multiple subjects for a real-world problem or authentic context. Use when planning cross-curricular projects or connecting content to real issues.
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。
Bluetooth Low Energy (BLE) integration for Zephyr RTOS. Covers GATT Services/Characteristics, GAP advertising, connection parameters, power optimization strategies, and the professional Send-When-Idle design pattern. Trigger when adding BLE connectivity, optimizing battery life for wireless devices, or implementing custom GATT profiles.
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。