「develop」の検索結果

Use this skill when an admin needs to create an Einstein Discovery story in CRM Analytics Studio, configure prediction definitions, deploy writeback fields, set up what-if analysis, or manage model refresh and activation. Trigger keywords: Einstein Discovery story, prediction definition, writeback field, CRM Analytics Studio, model refresh, what-if analysis, bulk scoring, prediction field, 1OR prefix. NOT for the Einstein Discovery Flow action or model-health monitoring in Model Manager — use admin/einstein-discovery-deployment. NOT for Einstein Prediction Builder, a separate product needing no CRM Analytics license — use agentforce/einstein-prediction-builder. NOT for programmatic scoring through the Connect REST API — use agentforce/einstein-discovery-development.

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 deploying a trained Einstein Discovery model to production records declaratively — activating a prediction definition, mapping output fields to page layouts, adding the Einstein Discovery Action to a Flow, running bulk predict jobs, and monitoring model health via Model Manager UI. Trigger keywords: prediction definition activation, bulk predict job, Einstein Discovery Flow action, Model Manager, prediction field mapping, model refresh activation, scoring job, Einstein Discovery recommendations on record. NOT for authoring the story in CRM Analytics Studio — use admin/einstein-discovery-setup. NOT for programmatic scoring through the API — use agentforce/einstein-discovery-development.

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。

Specify a FlexCard before a developer opens Card Designer: the card-state set and the condition that selects each state, the data source type behind each card (DataRaptor, Integration Procedure, Apex remote, SOQL), the action menu users get (navigate, launch OmniScript, Apex, DataRaptor), and every embedded child FlexCard or custom LWC. Produces the artifacts a BA hands to the builder. Trigger keywords: FlexCard requirements, FlexCard BA, FlexCard layout design, FlexCard data sources, FlexCard actions, FlexCard card states, OmniStudio FlexCard scoping. NOT for building the card in Card Designer, NOT for OmniScript step and branching requirements (use admin/omniscript-flow-design-requirements), NOT for standard Lightning record-page component requirements.

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 creating a new Experience Cloud site: selecting LWR vs Aura template, configuring branding and navigation, setting up a custom domain, and using Experience Builder. Trigger keywords: create new Experience Cloud site, LWR vs Aura template, set up community portal domain, Experience Builder page builder, branding sets, navigation menu configuration, Microsite LWR, Build Your Own LWR. NOT for coding LWR themes or custom components — use lwc/lwr-site-development. NOT for deploying a finished site to another org — use devops/experience-cloud-deployment-admin. Also covers the deployable metadata: Network, CustomSite, NavigationMenu, ExperienceBundle, DigitalExperienceBundle, urlPathPrefix, networkMemberGroups, emailSenderAddress, site status Live vs UnderConstruction.

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 configuring Data Manager in CRM Analytics: enabling objects for sync, scheduling data sync runs, setting up remote connections to external databases, monitoring sync status and error logs, or troubleshooting connected object issues. Trigger keywords: data sync, connected objects, Data Manager, sync schedule, remote connection, Snowflake connector, sync error, incremental sync, CRM Analytics data pipeline. NOT for pushing external data in programmatically via the External Data API — use data/analytics-external-data. NOT for authoring dataflow nodes — use admin/analytics-dataflow-development.

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 designing or building CRM Analytics Data Prep recipes — including node selection, join patterns, bucket field configuration, formula expressions, and scheduling. Triggers: 'build a recipe', 'join datasets in analytics', 'bucket a measure field', 'schedule a recipe', 'data prep transformation'. NOT for dataflow JSON and its node types — use admin/analytics-dataflow-development. NOT for tuning a slow or oversized dataset — use data/analytics-dataset-optimization.

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 building, debugging, or optimizing CRM Analytics dataflows — defining node types (sfdcDigest, Append, Augment, computeExpression, computeRelative, Flatten, dim2mea, sfdcRegister), scheduling runs, handling run failures, and tuning performance. NOT for doing the same transformation in a Data Prep recipe — use admin/analytics-recipe-design. NOT for dataset field types, refresh schedules, or row limits — use admin/analytics-dataset-management.

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 editing CRM Analytics dashboard JSON directly to implement advanced bindings, custom SAQL/SOQL step queries, layout changes, step parameters, or cross-widget interactions. Trigger keywords: dashboard JSON, SAQL step, binding syntax, mustache binding, dashboard REST API, widget layout, step limit, datasetId, datasetVersionId. NOT for building the dashboard in the builder UI or picking chart types — use admin/analytics-dashboard-design. NOT for writing or tuning the SAQL itself — use admin/saql-query-development.

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。

Behavior-first feature development — use when building new capabilities, continuing feature work, or when work introduces new state or multiple user flows. Discovers desired behavior through examples and scenarios before implementation. Do NOT use for bug fixes, typos, or small isolated changes.

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。

ESLint is the standard linting tool for JavaScript and TypeScript projects. It statically analyzes your code to find problems, enforce coding conventions, and catch bugs before they reach production. ESLint 9 introduced the flat config format, replacing the legacy `.eslintrc` system with a simpler, more composable `eslint.config.js` file. With a rich plugin ecosystem covering React, TypeScript, accessibility, and import ordering, ESLint is the backbone of code quality in modern web development.

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。

AI เชฟครัวร้านอาหาร — menu development, kitchen brigade, mise en place, food cost, seasonal menu, HACCP, Thai culinary context

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。

นักอรรถบำบัด (Speech-Language Pathologist) — articulation, stuttering, language development, swallowing, session plan, parent coaching

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。

Executive & Business Coach — 1-on-1 coaching session, GROW model, accountability, leadership development สำหรับผู้บริหารและเจ้าของธุรกิจ

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。

Blockchain/Web3 Developer — smart contract (Solidity/Rust), ERC-20/721/1155, DeFi protocol, security audit เบื้องต้น, deploy testnet/mainnet

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。

Review โค้ด debug refactor และอธิบายโค้ดแบบ senior developer รองรับทุกภาษา

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。

Embedded/IoT Engineer — Arduino/ESP32/Raspberry Pi, sensor integration, MQTT/BLE/LoRa, firmware development, battery optimization

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 and operate the Claude Code harness for large codebases. Builds CLAUDE.md hierarchies, scoped test/lint commands, file exclusions, codebase maps, hooks, skills, subagent strategies, and LSP/MCP wiring. Use when setting up Claude Code for a new repo, auditing an existing configuration, onboarding a team, or scaling from single-developer to org-wide deployment. Triggers on "set up Claude Code for this repo", "optimize my Claude Code config", "audit my CLAUDE.md", "make this codebase navigable", "configure hooks/skills/plugins".

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。

Deep learning framework development with tinygrad - a minimal tensor library with autograd, JIT compilation, and multi-device support. Use when writing neural networks, training models, implementing tensor operations, working with UOps/PatternMatcher for graph transformations, or contributing to tinygrad internals. Triggers on tinygrad imports, Tensor operations, nn modules, optimizer usage, schedule/codegen work, or device backends.

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。

Firmware development for the WeAct Studio "Black Pill" (STM32F411CEU6) and its clones such as the DFRobot DFR0864 — the 25 MHz HSE and 32.768 kHz LSE crystals, PC13 LED, K1 button, USB-C wired straight to USB_OTG_FS, ROM DFU flashing, the SPI-flash footprint, and the STM32Cube HAL + PlatformIO setup around them. Use when working on this board or any STM32F411CE/F401CC Black Pill: project setup, platformio.ini, clock and PLL configuration for 96 MHz plus 48 MHz USB, pin mapping on the 48-pin package, USB CDC console, RTC on the LSE crystal, the internal temperature sensor, ADC accuracy, DFU flashing and recovery, or debugging why something on the board does not work.

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。

Firmware development for the Waveshare ESP32-C6-LCD-1.47 board (ESP32-C6FH4, QFN32) — its 1.47" 172x320 ST7789 LCD, WS2812 RGB LED, microSD/TF slot, USB-Serial-JTAG console, Wi-Fi 6/BLE/802.15.4 radio, and the ESP-IDF + PlatformIO setup around them. Use when working on this board or the ESP32-C6-LCD-1.47-M variant (SKU 28563 / 30381, WS-28563): project setup, platformio.ini and sdkconfig, pin mapping and strapping pins, LCD or SD bring-up on the shared SPI bus, backlight brightness, display frame rate, flashing over Type-C, or debugging why something on the board does not work.

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。

Firmware development for the ProMicro nRF52840 (V1940) — the nice!nano v2 compatible clone also sold as SuperMini nRF52840, nRF52840 Pro Micro or nRFMicro (nRF52840 QIAA, Cortex-M4F @ 64 MHz, 1 MB flash / 256 KB RAM, BLE 5 + 802.15.4, native USB, Adafruit UF2 bootloader with SoftDevice S140). Covers the PlatformIO + Adafruit nRF52 Arduino setup for a board that ships in neither, the vendored board definition and Pro Micro pin map, USB CDC via TinyUSB, Bluefruit BLE, the 32.768 kHz crystal that clones omit, SAADC pins, NFC pins as GPIO, and Zephyr's promicro_nrf52840 board target. Use when working on this board or any nice!nano v2 / ZMK keyboard controller: project setup, platformio.ini, pin mapping, LED not blinking, double-tap RESET and UF2/DFU flashing, SoftDevice version mismatches, a board that enumerates but never runs, or debugging why something on the board does not work.

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。

Firmware development for the LGT8F328P-LQFP32 MiniEVB — the Nano-style 30-pin "purple nano" board whose silkscreen reads LGTBF32BP (also sold as BTE21-15A, WAVGAT, LGT8F328P Nano V3.0), built on the Logic Green / Prodesign LGT8F328P, an AVR-instruction-compatible LGT8XM part with a 32 MHz internal RC and no crystal, a 12-bit ADC, an 8-bit DAC on D4, four timers, 80 mA drive pins, SWD instead of ICSP, and EEPROM emulated in program flash. Use when working on this board, any LGT8F328P/LGT8F328D/LGT8FX8P board, or a sketch being ported from an Arduino Nano or ATmega328P: PlatformIO setup with the lgt8fx core, platformio.ini, f_cpu/f_osc/clock_source and why timings come out 2x wrong, pin mapping and the LQFP32 bonded pads, analogRead resolution and reference errors, analogWrite hitting the DAC, EEPROM vanishing after upload, 80 mA outputs, upload failures over CH340/CH9340/HT42B534, SWD recovery, or debugging why something on the board does not work.

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。

Firmware development for the 30-pin NodeMCU ESP8266 devkit — NodeMCU DevKit V1.0 / Amica (CP2102) and LoLin NodeMCU V3 (CH340G), built on the Ai-Thinker ESP-12E or ESP-12F module (ESP8266EX, 4 MB flash), with PlatformIO and the Arduino ESP8266 core (`board = nodemcuv2`). Use when working on a NodeMCU, ESP-12E, ESP-12F or ESP8266 devkit: project setup, platformio.ini, the D0-D10 vs GPIO numbering, which pins are safe and which break the boot, GPIO15/GPIO0/GPIO2 strapping, the A0 divider and 1 V ADC, software I2C and software PWM, analogWrite range, LittleFS and flash layouts, OTA, deep sleep and the missing GPIO16-to-RST link, Wi-Fi, heap exhaustion, watchdog and Soft WDT resets, exception decoding, flashing over CP2102/CH340, or debugging why the board does not boot, prints garbage, or reboots by itself.

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。

Firmware development for the Waveshare ESP32-S3-RLCD-4.2 (SKU 33298 / 33507, and the -EN variant) — an ESP32-S3-WROOM-1-N16R8 AIoT board built around a 4.2" fully reflective 300x400 monochrome LCD on a Sitronix ST7305/ST7306, with no backlight, plus an ES8311 speaker codec, an ES7210 dual-microphone ADC, an SHTC3 temperature/humidity sensor, a PCF85063A RTC, a microSD/TF slot on SDMMC, an 18650 holder with battery sensing, BOOT/KEY/PWR buttons and a 2x8 2.54 mm expansion header. Use when working on this board: project setup, platformio.ini, the qio_opi PSRAM memory type, the pin map and which header pins are traps, U8g2 and the ST7305 constructor, a blank or shifted panel, ST7305 low-power mode HPM/LPM, the shared I2C bus and its four slaves, I2S audio directions and the speaker amplifier enable, mounting the TF card, battery voltage, USB CDC console with no UART bridge, flashing over Type-C, deep sleep, or debugging why something on the board does not work.

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。