837 件 ・ 関連度順
概要と使いどころ
Open prefab edit mode for a specific GameObject. In the Edit mode you can modify the prefab. The modification will be applied to all instances of the prefab across the project. Note: Please use 'assets-prefab-close' tool later to exit prefab editing mode.
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, maintaining, debugging, or reviewing real-browser end-to-end tests with Playwright or Cypress, including Page Object models, CI artifacts, traces, flaky tests, cross-page visual regression, and critical user journeys such as login, payment, permissions, or CRUD. For layer planning or tests close to UI components, choose the matching testing workflow first; Chinese triggers include E2E, end-to-end testing, Playwright, Cypress.
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 authoring or reviewing frontend unit, component, or light integration tests close to UI code, including React Testing Library, Vue Test Utils, hooks/composables, props/emits, callbacks, accessible queries, user-event interactions, mocks, loading/error/empty states, and regression coverage. For layer planning, real-browser journeys, or existing validation failures, choose the matching testing or validation workflow first; Chinese triggers include component testing, Component unit testing, unit testing, lightweight integration testing.
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。
Full-funnel paid advertising operations for B2B SaaS. Use this skill for PPC strategy, Google Ads optimization, LinkedIn Ads, social media advertising, programmatic buying, creative strategy, attribution modeling, budget allocation, budget pacing and planned-vs-delivered reconciliation, audience overlap and campaign self-competition audits, suppression lists, ROAS improvement, media spend optimization, and the media no auction sells — newsletter and podcast sponsorships, community and industry-publication placements, paid review-site listings on G2 and Capterra, and pay-per-lead content syndication. It also covers buying on the AI answer surface — ads inside Google AI Overviews and AI Mode that existing Search, Shopping and Performance Max campaigns already serve into with no opt-out, no placement targeting and no segmented reporting, and ChatGPT Ads and Microsoft Copilot as separate opt-in platforms with their own plan-tier reach limits, no negative keywords, and a landing-page crawler gate. It also owns the conversion signal the bidding algorithms learn from — CRM pipeline stages (SQL, opportunity, closed-won) sent back to Google Ads, LinkedIn, Meta and Microsoft Ads through offline conversion import, enhanced conversions for leads, the Google Data Manager API and the LinkedIn Conversions API, with click-ID capture, stage values, dedupe, EEA consent signals and retractions. It also gates connected TV (CTV) and streaming video for B2B — whether a reach medium belongs in the plan, how a vendor ties a TV household to a target account (member data, IP-to-account graph or contextual), the server-side ad insertion (SSAI) fraud questions, Programmatic Guaranteed deals, and a holdout lift test because CTV has no click. It also runs person-led paid social — LinkedIn Thought Leader Ads and Meta partnership ads that put spend behind an employee's or creator's post — on a paid-usage term, an in-post disclosure check and an end-date register, because the platform approval carries no term. Also triggers on: CTV, connected TV, OTT, streaming TV ads, should we run CTV, LinkedIn CTV, B2B CTV, account-based CTV, SSAI fraud, thought leader ads, boost an employee's post, sponsor a creator's post, partnership ads, whitelisting, creator usage rights, PPC, Google Ads, LinkedIn Ads, social ads, programmatic, ad creative, attribution, media budget, paid campaigns, ROAS, CPA, ad spend, newsletter sponsorship, podcast sponsorship, community sponsorship, sponsor a newsletter, content syndication, pay-per-lead, cost per lead vendor, media kit, rate card, insertion order, direct buy, publisher partnership, make-good, G2 paid listing, Capterra ads, review site advertising, sponsorship ROI, budget pacing, we underspent our budget, are our campaigns competing with each other, audience overlap, self-competition, campaign cannibalization, suppression list, exclusion list, ad frequency across channels, how many ad accounts do we have, ads in AI Overviews, AI Mode ads, ChatGPT Ads, OpenAI Ads Manager, Copilot ads, conversational ads, should we advertise on ChatGPT, can we buy our way into the AI answer, our ads are showing in AI Overviews and we cannot report on it, context hints, OAI-AdsBot, our ad landing page fails review, robots.txt is blocking our ads, our paid leads are junk, Google Ads is optimizing for the wrong leads, offline conversion import, OCI, enhanced conversions for leads, send CRM stages back to Google Ads, upload SQLs to LinkedIn, LinkedIn Conversions API, LinkedIn CAPI, Meta conversion leads, CRM to ad platform, gclid, li_fat_id, msclkid, value-based bidding, optimize for pipeline not form fills, low match rate, conversion lag.
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。
Marketing analytics and data-driven optimization for B2B SaaS campaigns. Use this skill when analyzing marketing performance, optimizing conversion rates, running A/B tests, conducting customer research, creating marketing dashboards, building attribution models, analyzing funnel metrics, or storytelling with data. Also triggers on: marketing ops, performance analytics, CRO, A/B testing, data storytelling, customer insights, tracking plan, event taxonomy, UTM taxonomy, GA4 audit, consent mode, instrumentation contract, sample size calculation, minimum detectable effect, test duration, not enough traffic to A/B test, statistical significance, Bayesian vs frequentist, sample ratio mismatch, experiment feasibility, martech stack, marketing tech stack audit, tool consolidation, build vs buy, vendor evaluation, shadow IT tools, ESP/CRM/platform migration, switching cost, cutover plan, suppression list migration, data portability, customer interviews, survey design, sampling frame, non-response bias, how many people should I interview, thematic saturation, voice of customer, jobs-to-be-done, buyer persona research, is this finding real, data enrichment, which enrichment provider should we buy, waterfall enrichment, contact data quality, match rate, our list data is bad, email verification, catch-all domain, accept-all, bounce rate from bad data, B2B data decay, how often should we re-verify contacts, ZoomInfo vs Apollo vs Clearbit evaluation, cost per usable record, where did this list come from, GDPR Article 14 notice, purchased list compliance, suppression screening, TAM list building, demand planning, marketing plan, how many leads do we need, what pipeline target should marketing carry, funnel model, top-down vs bottom-up plan, plan of record, annual marketing planning, quarterly planning, pipeline coverage we have to create, sales cycle lag, our leads cannot close this quarter, carry-in pipeline, scenario planning, conservative moderate aggressive forecast, stretch target, reforecast, re-forecast triggers, assumption register, capacity ceiling, addressable audience ceiling, marginal cost per lead, blended CPL is wrong, we missed plan and nobody knows why, AI policy for the marketing team, AI governance, AI acceptable use policy, which AI tools are we allowed to use, can I paste customer data into ChatGPT, shadow AI, AI use register, human review of AI output, when can we stop reviewing every AI draft, can the agent send on its own, the AI made a mistake now what, pull back AI autonomy, AI evals, our AI vendor changed the model, AI output went out wrong, prompt injection, can our AI read prospect replies safely, lethal trifecta, the AI leaked internal notes, turn off auto-generated ad assets, auto-applied recommendations, AI literacy training, EU AI Act Article 4, duplicate records in the CRM, dedupe before import, which value wins in a merge, CRM cleanup.
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。
Client reporting, quality assurance, and financial operations management. Handles KPI frameworks, compliance audits, budget tracking, and launch checklists. Use when: managing client dashboards, ensuring brand compliance, conducting QA reviews, tracking marketing spend, ensuring GDPR/CAN-SPAM compliance, handling a request to delete someone's data across the marketing stack, deciding whether an AI voice or AI presenter has to be disclosed, proofreading deliverables. Also triggers on: client reporting, QA, quality assurance, brand compliance, marketing budget, financial tracking, legal compliance, GDPR, CAN-SPAM, proofreading, launch checklist, right to erasure, right to be forgotten, data deletion request, DSAR, someone asked us to delete their data, do we delete or suppress, suppression list, they unsubscribed and we emailed them again, we deleted them and they came back, restored a backup and re-emailed people, custom audience still has deleted contacts, California Delete Act, DROP, data broker deletion, enrichment records disappearing
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 a task needs the judgment of a First-Line Supervisor of Entertainment and Recreation Workers (camp, pool, ride crew, attractions, or activities floor) — building today's shift roster against certification/ratio requirements when call-outs hit, running a pre-shift briefing, triaging an escalated guest complaint, deciding whether a new hire is ready to sign off independent, or choosing when to consolidate or close a program area for the day.
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 a task needs the judgment of a Crushing/Grinding Machine Operator — recognizing that classifier cut point, not mill residence time alone, determines what reports to finished product in a closed-circuit grinding operation, monitoring circulating load as a distinct diagnostic variable, matching grinding media size to the target size reduction, or verifying product size via actual sieve/laser analysis rather than mill parameters.
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 a task needs the judgment of a Door-to-Door Sales Worker — planning a canvassing route or street-vending spot, diagnosing a rep's or vendor's underperformance from doors/contacts/sits/close ratios, navigating solicitation-permit or curfew or cooling-off compliance, structuring a doorstep pitch and objection handling, or reconciling a shift's cash and inventory.
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 a task needs the judgment of a Brownfield Redevelopment Specialist and Site Manager — confirming landowner liability protections (BFPP/AAI) before a contaminated-site acquisition closes, matching a cleanup standard to the actual reuse plan instead of defaulting to the most conservative one, sequencing a brownfield funding stack (EPA grants, state VCP, tax credits) by eligibility dependency, or deciding whether an institutional control/deed restriction needs disclosure to a lender or buyer.
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 a task needs the judgment of a Carpenter — sizing a header for a bearing-wall opening, laying out and cutting stair stringers to code, checking a rough opening before a door or window goes in, deciding whether framing lumber is dry enough to close in, or field-modifying engineered lumber (I-joists, LVL) without voiding its rating.
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 a task needs the judgment of a retail/grocery cashier — reconciling a till at shift close, deciding whether to accept a large bill or flag it, handling a no-receipt return, de-escalating a price dispute at the register, or spotting a shortage pattern that looks like theft versus error.
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 a task needs the judgment of a Bookkeeping, Accounting, and Auditing Clerk — reconciling a bank or credit card account, resolving an AP three-way-match discrepancy before payment, coding an expense to the correct account and department, tracing a general ledger discrepancy to root cause, or running a month-end close checklist.
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 a task needs the judgment of an Advertising Sales Agent — pricing an ad-inventory package against a client budget, building a media-kit pitch, protecting yield on scarce inventory while moving remnant, or forecasting close rate on a sales pipeline. Sell-side: this role sells a publisher's or station's own ad space/time to advertisers, the opposite side of the table from a buyer-side advertising-promotions-manager who purchases media on a client's behalf.
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。
Skill体系自洽性审查 Skill（由用户主动触发，不被其他组件调用）。主动检查整个Skill/Agent/Rule体系的内部一致性：触发词冲突、孤立组件、版本漂移、SKILL-INDEX与实际文件不一致、alwaysApply Rule叠加矛盾等。对应产品侧的 project-closeout。注意：与 skill-system-destroyer（子智能体，只读审查新组件冲突）不同——本 Skill 审查整个体系的历史一致性。触发词：「检查Skill体系」「Skill体系有没有问题」「Skill体系自检」「Skill体系自洽性」「Skill健康检查」。
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。
项目收尾检查。在项目完成后、再次打开前执行：多角色文档审查 + 追踪台核查 + 遗留事项清点，输出收尾报告。与 project-retrospective 的区别：本 Skill 检查文档一致性和遗留问题，后者更新 Skill 体系。触发词：「项目收尾」「收尾检查」「确保文档自洽」。
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。
Route non-critical nets on a real KiCad PCB or Specctra DSN through Circuit Weaver's fail-closed Freerouting integration. Use after placement and net-class setup when the user requests autorouting, a validated SES session, routing diagnostics, or post-route cleanup. Keep critical power, RF, clock, crystal, switching, and differential nets manual.
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。
BCI design and evaluation — signal decoding, calibration, closed-loop paradigms, and performance metrics.
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。
Audit financial reconciliation workflows -- evaluate automated transaction matching engines, intercompany balance reconciliation, suspense and clearing account health, variance root-cause investigation, and close calendar 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。
Audit a quoting or estimation system -- analyze labor hour estimation accuracy, material take-off completeness, pricing rule engines, markup and margin optimization, good-better-best tiered pricing, and quote-to-close win rates.
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。
Analyze bookkeeping automation systems for transaction categorization, bank reconciliation, AP/AR efficiency, chart of accounts optimization, and month-end close using GAAP and double-entry accounting patterns..
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。
Explicit-only last resort. Draws game art from code, with no image model - pixel sprites from a PixelSpec, flat vector props, UI and icons from portable SVG, rigged characters with planted feet, FX with a JS runtime, seam-proven autotiles, playable top-down layouts with collision, stylized parallax and ambient plate motion - palette-exact, with QA and review sheets. Use only when the user explicitly asks for code-drawn art, or when generate2dmedia route_media.py finds no image or video route (no-route, exit 3). Never the default - image generation (generate2dsprite, generate2dmap, video2dsprite) comes first for characters, props, maps and FX. Not for painterly, detailed or likeness art, HD-2D plates or realistic fire, smoke or water. Always disclose the result as code-drawn.
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。
Mounts Cloud Storage buckets as a POSIX file system with Cloud Storage FUSE (gcsfuse). Use when interacting with gcsfuse: decide whether FUSE, native gs:// reads, or Filestore/Managed Lustre fits a workload, deploy tuned mounts on GKE, Compute Engine, or Cloud Run, enable and size file, stat, and list caches, tune mount flags or config-file settings, apply workload profiles, keep ML checkpointing safe (rename atomicity, hierarchical namespace/HNS, close-time finalization, concurrent writers), or diagnose slow training, low throughput, or bill spikes with gcsfuse metrics. Covers mount semantics, gcsfuse CLI and config files, GKE gcsfuse CSI driver (Workload Identity principal:// bindings, profile StorageClasses, sidecar sizing), and Cloud Run volume mounts. Don't use for bucket administration or data management without a mount (google-cloud-storage-basics) or fully POSIX-compliant shared file systems (Filestore, Managed Lustre).
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。
Automates the end-to-end detection engineering workflow in Google SecOps using MCP tools. Use when fetching threat intelligence from blogs, generating Threat Detection Opportunities (TDOs), simulating attacker behavior with synthetic UDM events, evaluating rule coverage, generating new YARA-L 2.0 rules to close coverage gaps, and with user approval, deploy them to SecOps. Don't use when asked to perform threat hunting actions, and SOC investigative actions.
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。