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cccskills

「studio」の検索結果

1,393 件 ・ 関連度順

概要と使いどころ

Use this skill when defining patient engagement portal requirements for Health Cloud: appointment scheduling, secure in-portal messaging, health assessments, patient education, and self-service features. NOT for care team workflows, SDOH barriers and care gaps — use admin/care-coordination-requirements. NOT for patient portal licensing and cloud topology — use architect/health-cloud-multi-cloud-strategy.

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。

PranavNagrecha/AwesomeSalesforceSkills192026年10月4日 更新

Use this skill when configuring MCAE (Account Engagement / Pardot) lead scoring models, grading profiles, score decay rules, or automation rules that fire on score/grade thresholds. Covers: scoring point values per activity, score decay for inactivity, Profiles for fit grading, combined MQL definitions (Score + Grade), and automation rules vs completion actions. NOT for defining the MQL model before build — use admin/lead-scoring-requirements. NOT for Engagement Studio nurture programs — use admin/lead-nurture-journey-design.

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。

PranavNagrecha/AwesomeSalesforceSkills192026年10月4日 更新

Use this skill when gathering, documenting, or validating requirements for a Salesforce marketing automation program — covering MCAE (Account Engagement / Pardot) lifecycle stages, MQL/SQL threshold definitions, scoring model specifications (sources, weights, decay, ceiling), handoff notification design, CRM field updates on status change, and sales SLA. Trigger keywords: MQL criteria, marketing-to-sales handoff, lead lifecycle, scoring requirements, automation program requirements, Marketing Cloud Automation Studio scope. NOT for building the scoring and grading rules in MCAE — use admin/mcae-lead-scoring-and-grading. NOT for a Sales-Cloud composite score built from formula fields — use admin/lead-scoring-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。

PranavNagrecha/AwesomeSalesforceSkills192026年10月4日 更新

Public Sector Solutions (PSS) setup: licensing, permits, inspections, benefits, case management for government, citizen portals, and grant management. NOT for standard Service Cloud cases — use admin/case-management-setup. NOT for a plain portal site — use admin/experience-cloud-site-setup.

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。

PranavNagrecha/AwesomeSalesforceSkills192026年10月4日 更新

Configure Communications Cloud for the first time: org setup sequence, permission sets, Enterprise Product Catalog (EPC) service catalog, TM Forum-aligned order decomposition setup, Account record-type segmentation, contract lifecycle activation. NOT for designing the commercial-to-technical order process itself - use admin/industries-process-design. NOT for calling TM Forum Open APIs (TMF622, TMF679) - use omnistudio/industries-api-extensions.

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。

PranavNagrecha/AwesomeSalesforceSkills192026年10月4日 更新

Use this skill when configuring a new or existing Marketing Cloud Account Engagement (MCAE, formerly Pardot) business unit: Salesforce v2 connector activation, connector user permissions, Salesforce User Sync, prospect field sync rules, tracking domain setup, and Account Engagement Lightning App installation. NOT for connecting Marketing Cloud Engagement (email studio, journeys) to Salesforce - use admin/marketing-cloud-connect. NOT for calling the Account Engagement REST API from code - use apex/mcae-pardot-api.

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。

PranavNagrecha/AwesomeSalesforceSkills192026年10月4日 更新

Use this skill when configuring or troubleshooting Marketing Cloud Connect (MC Connect) — the managed package that links a Salesforce org to a Marketing Cloud account. Covers connector user setup, synchronized data sources, scope configuration, tracking sync, and triggered sends. NOT for MCAE/Pardot connector setup — use admin/mcae-pardot-setup. NOT for synced data extension failures — use data/marketing-cloud-data-sync.

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。

PranavNagrecha/AwesomeSalesforceSkills192026年10月4日 更新

Use when configuring or troubleshooting email deliverability for Marketing Cloud or Salesforce orgs: sender authentication (SPF, DKIM, DMARC), private sending domain setup, dedicated IP warm-up, list hygiene practices, and sender reputation monitoring. NOT for building a Marketing Cloud email — use admin/email-studio-administration. NOT for unsubscribe and consent — use admin/consent-management-marketing. Also covers the Salesforce Core deliverability surface: EmailAdministrationSettings, EmailAuthorizationSettings, EmailDomainKey (DKIM), EmailRelay, EmailDomainFilter, OrgWideEmailAddress verification, bounce management, and the 5,000-a-day outbound email cap.

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。

PranavNagrecha/AwesomeSalesforceSkills192026年10月4日 更新

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。

PranavNagrecha/AwesomeSalesforceSkills192026年10月4日 更新

Use this skill when designing the FSC client onboarding process — mapping document collection touchpoints, approval steps, compliance checkpoint sequencing, and welcome journey handoffs. Trigger keywords: client onboarding design, onboarding workflow requirements, document collection flow, compliance checkpoint, welcome journey, intake process design. NOT for configuring the Action Plan template itself — use admin/fsc-action-plans. NOT for OmniScript screen and branching requirements — use admin/omniscript-flow-design-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。

PranavNagrecha/AwesomeSalesforceSkills192026年10月4日 更新

Use when creating or configuring a CRM Analytics (Einstein Analytics) app — including app containers, lenses, datasets, data source connections, app sharing, and the row-level security that gates whether users see any data. NOT for choosing Reports vs CRM Analytics vs Tableau — use admin/einstein-analytics-basics. NOT for security predicate syntax, sharing inheritance or Analytics license assignment — use admin/analytics-permission-and-sharing.

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。

PranavNagrecha/AwesomeSalesforceSkills192026年10月4日 更新

Firmware development for the WeAct Studio MiniSTM32H7xx core board (STM32H750VBT6) — its 0.96" ST7735 TFT, DVP camera, QSPI/SPI flash, MicroSD, USB, and the STM32Cube HAL + PlatformIO setup around them. Use when working on this board or any STM32H750/H743 WeAct core board: project setup, platformio.ini, clock/PLL configuration, pin mapping, peripheral bring-up, LCD performance, D-cache/DMA problems, DFU flashing, 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。

alexex1993/mcu-skills192026年9月25日 更新

Firmware development for the WeAct Studio RP2350A Core Board (RP2350A — dual Cortex-M33 @ 150 MHz, 520 KB SRAM, 4 MB or 16 MB QSPI flash) in both of its revisions, RP2350A_V10 and RP2350A_V20 — the 40-pin Pico-2-shaped header, 3-or-4-channel 12-bit ADC, PWM, PIO, USB-C CDC, the V1.0 LDO vs V2.0 buck-boost power wiring, and the PlatformIO + arduino-pico (earlephilhower) setup around them. Use when working on this board, a WeAct RP2350 core board of unknown revision, or any Raspberry Pi Pico 2 / RP2350A clone: project setup, platformio.ini, board = rpipico2 vs weact_rp2350b, telling V1.0 and V2.0 apart, pin mapping, LED and KEY pins, powering it from a battery, 4 MB vs 16 MB flash, erratum RP2350-E9 pull-down trouble, BOOT/RESET UF2 flashing, 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。

alexex1993/mcu-skills192026年9月25日 更新

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。

alexex1993/mcu-skills192026年9月25日 更新

Use when working with Nuxt Content v3, markdown content, or CMS features in Nuxt - provides collections (local/remote/API sources), queryCollection API, MDC rendering, database configuration, NuxtStudio integration, hooks, i18n patterns, and LLMs integration

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。

hetari/sulaf172026年9月10日 更新

Prepare, validate, package, or review a dygo framework release and its upgrade path. Use for versioning, tags, binaries, Studio and Core bundling, installers, archives, checksums, and release smoke checks.

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。

hapyco/dygo162026年10月2日 更新

Select, write, or review proportionate tests and verification for dygo Go packages, PostgreSQL behavior, metadata, CLI contracts, Studio, integrations, and releases. Use when test scope or confidence strategy is the main decision.

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。

hapyco/dygo162026年10月2日 更新

Design, implement, or review security-sensitive dygo behavior across auth, sessions, Permissions, secrets, APIs, database writes, files, Jobs, and Studio. Use when security boundaries are a primary concern.

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。

hapyco/dygo162026年10月2日 更新

Design or implement reusable capability in the dygo framework, Core App, Studio App, runtime, or public SDK. Use when changing dygo itself rather than building a Business App.

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。

hapyco/dygo162026年10月2日 更新

Render a plan directory (plan.md + phase-*.md) as a visual: generates/validates visual-plan/plan.json, opens a studio to view/edit, exports plan.html. Pass --static for a legacy single-file render.

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。

ngocsangyem/MeowKit152026年7月28日 更新

Time-travel debugging for DAG executions. Inspect agent state at any node, replay decisions with modified inputs, compare execution traces side-by-side, and identify where reasoning diverged. Inspired by LangGraph Studio's state-editing model and Temporal's event history. Activate on "debug DAG", "replay execution", "time travel debug", "inspect node state", "what went wrong at step", "compare runs", "execution diff". NOT for live monitoring (use dag-runtime + websocket-streaming), failure analysis (use dag-ops), or general code debugging.

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。

curiositech/windags-skills142026年10月12日 更新

whatsnew

無料

On-demand "what's new" generator. Main context (which knows the impending change) writes keepachangelog-style entries to a fragment file at `.claude/state/whatsnew/<slug>.json` (gitignored, transient). An optional per-project `project.json → whatsnew.route_workflow` names a routing workflow that consumes the fragment and renders it wherever the project wants (a site page, a release body, a docs page). Not a workflow phase — it never blocks a commit, and it never writes `CHANGELOG.md` (that file is owned solely by semantic-release in CI).

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。

friedbotstudio/baseline142026年10月13日 更新

tdd

無料

Workflow Phase 6 — TDD coordinator. Decides the scenario recipe and the implementation contract in main context, writes them to a state file, seeds per-worker tasks (scenario, implement, verify-tick, design-ui-tick) into the TaskList, and yields with harness_state continue so the harness invokes each worker as its own tick. No subagent delegation; no nested Skill calls.

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。

friedbotstudio/baseline142026年10月13日 更新

Decompose an approved spec into a dependency-ordered swarm plan — one task per component, each with an explicit write_set. Produces `.claude/state/swarm/<slug>.json` with tasks + waves. The wave scheduler guarantees pairwise-disjoint write_sets within each wave so parallel dispatch is provably conflict-free.

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。

friedbotstudio/baseline142026年10月13日 更新