「job」の検索結果

在已绑定且具备 IELTS Buddy 后台题库权限的账号下，发现并调用只读题库数据接口；不定义题库研究或分析方法。

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。

说明如何读取和写入 IELTS Buddy 学习计划、精确课程与练习内容、任务提醒、学习路径、资源和学习事件；不定义诊断、推荐或计划内容。

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。

说明如何读取 IELTS Buddy 浏览器写作练习的不可变版本与结构化批改结果；不定义本地批改方法。

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。

说明如何读取 IELTS Buddy 模考与已提交练习的事实数据；不定义模考解读、诊断或训练优先级。

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。

说明如何发现和调用 IELTS Buddy 考场记录、预测候选题、题库目录、练习记录与结果接口；不定义选题、复盘或教学策略。

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。

说明如何读取、维护、导入导出和记录 IELTS Buddy 内置或个人词汇数据；不定义词汇教学或复习策略。

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。

说明如何读写当前账号的 IELTS Buddy 口语素材；不定义口语陪练、反馈或素材组织方法。

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。

说明如何从固定 IELTS Buddy OSS 发行源检查并更新本机已安装的用户端 Skills；不规定何时更新或更新后的使用方式。

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。

说明如何读取 IELTS Buddy 已提交阅读练习的结果与按需材料；不定义证据分析、错因判断或教学方案。

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。

Vercel deployment platform — project configuration, serverless/edge functions, Routing Middleware, cron jobs, environment variables, monorepo 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。

Job queues, background processing, and task scheduling with BullMQ v5

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。

Tailor a resume to a job description with ATS keyword optimization, gap analysis, and rewritten bullets — zero fabrication. Use when the user wants /tailor for a single role, /batch for multiple JDs, career pivot reframing, or interview prep questions from a tailored application.

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。

Stand up a fast, cached, isolated, disposable macOS CI lane on Tart — layered golden VM images, ephemeral per-job GitHub Actions runners, host-mounted caches, and a reusable per-repo vm-image manifest. Use when setting up VM-based CI for Pulp or generalizing it to another repo, building/refreshing golden images, wiring ephemeral runners, or debugging the VM lane.

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。

Create scheduled background jobs that run on cron schedules

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。

Product marketing and go-to-market strategy for B2B SaaS launches and positioning. Use this skill when planning a product launch, developing positioning and messaging, analyzing competitive landscape, building customer advocacy programs, designing a customer referral program (who may accept the reward, how the introduction is made), designing a win/loss interview program, working out why we lose deals, designing GTM strategy, creating category positioning, planning analyst briefings, or deciding which country to expand into and how far to localize. Also use it for an early-stage startup where the founder is still doing the selling — running founder-led sales, setting up a design-partner program, judging whether you have product-market fit, deciding what not to do yet, deciding when to hire the first AE or first marketer, and moving upmarket to larger buyers. Also use it when your company has just acquired another (or is about to), to plan the marketing integration: what you may and may not do between signing and close, the first letter to the acquired customers, whether to keep, endorse, fold in or retire the acquired brand, merging the two marketing databases without mailing people who opted out, when to start cross-selling, and announcing a product sunset. Also use it to design a demand-generation campaign and the channel plan it runs on: one campaign with one job, the offer for buyers who are and are not in market, what each channel is for, the kill and scale rules set before launch, the follow-up sales agrees to, the yearly calendar of always-on programs and tentpole campaigns, and which channels to keep, test or stop. Also use it for brand marketing and demand creation — how much to spend on brand versus performance, what to measure when a brand campaign produces no conversion event, and how to answer "we cannot attribute it". Also triggers on: founder-led sales, founder-led GTM, design partners, design partner agreement, first customers, first 10 customers, do we have product-market fit, PMF, Sean Ellis test, very disappointed survey, pre-seed, seed stage, when to hire our first AE, first sales hire, first marketing hire, moving upmarket, going upmarket, enterprise readiness, first enterprise deal, what do enterprise buyers need before they sign, positioning, product launch, beta program, early access program, design partners, private preview, public preview, general availability, GA launch, when can we call it GA, can sales sell a beta feature, selling the roadmap, launch tier, competitive intelligence, messaging, customer advocacy, win/loss analysis, win/loss interviews, why we lose deals, closed-lost analysis, loss reason, close-reason field, competitive displacement, displace an incumbent, rip and replace, competitive takeout, switch from a competitor, win deals from a competitor, incumbent contract, renewal window, auto-renewal notice period, switching costs, EU Data Act, cloud switching rights, why do we lose to no decision, GTM, category design, ideal customer profile, ICP, what is our real ICP, who actually buys from us, refresh our ICP from closed-won deals, ICP refresh before planning, analyst briefing, G2 review, international expansion, market entry, expand into Europe, which country should we launch in next, localization, translate our site, in-country go-to-market, regional GTM, is cold email legal in Germany, brand marketing, brand awareness, brand vs performance, brand versus demand gen, demand creation, demand capture, 95-5 rule, out of market buyers, category entry points, distinctive brand assets, mental availability, brand tracking, brand health, brand lift, share of search, how do we measure brand, justify brand spend, brand budget. Also triggers on public-sector marketing: sell to government, government marketing, public sector go-to-market, federal marketing, state and local government, SLED, FedRAMP, FedRAMP marketing claims, can we say FedRAMP ready, GovRAMP, StateRAMP, VPAT, accessibility confor

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 Electrician — sizing a service panel upgrade with an NEC load calculation, troubleshooting a tripping breaker or dead circuit systematically, checking wire gauge/ampacity and voltage drop for a circuit run, resolving a code-vs-inspector interpretation dispute, or deciding when a job (aluminum wiring, knob-and-tube, undersized service) exceeds the immediate scope.

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 electrician's helper — running the NEC box-fill or conduit-fill calculation for a rough-in before wire gets pulled, bending conduit and pulling wire without exceeding practical bend/tension limits, running a non-contact continuity or polarity check at trim-out, or recognizing when a jobsite finding (reversed polarity, an undersized box, an unlabeled abandoned circuit) is a stop rather than a workaround.

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's helper — cutting and staging lumber to a carpenter's layout marks, assembling and standing framed wall panels, running a material take-off and waste calculation for a framing package, or recognizing when a jobsite condition (a missing guardrail component, a nail-gun trigger setting, a header that doesn't match the plan) is a stop rather than a workaround.

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 senior auto-service-technician judgment — diagnosing a check-engine-light or drivability complaint from DTCs and live data, deciding whether a code-named part actually needs replacing or the fault lies upstream, scoping a flat-rate repair order and labor time, choosing warranty vs. customer-pay job costing, or separating a genuinely needed repair from an upsell.

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 auto-glass installer/repairer — deciding whether a chip or crack qualifies for resin repair versus full replacement, calculating a safe drive-away time for the adhesive and conditions on a job, determining whether a windshield replacement triggers ADAS camera recalibration, or diagnosing a cut-out/pinch-weld defect before it becomes a leak or corrosion claim.

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 whenever the user asks you to act as, consult, or reason like a specific job role/domain expert (e.g. "review this like a CFO," "what would a UX designer say," "act as a contracts lawyer") and this repo's roles/ directory is available. Finds the best-matching role SKILL.md and adopts it, or honestly reports the gap if none 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。

Use when a task needs the judgment of an Architecture/Engineering firm or department manager — pricing a project fee (lump sum vs. hourly vs. % of construction cost), staffing a project against backlog, evaluating scope creep on a fixed-fee job, managing professional liability exposure, or deciding whether to pursue a project given current utilization.

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 certificated aircraft mechanic — triaging a maintenance discrepancy, deciding whether an item can be MEL-deferred or grounds the aircraft, working out an Airworthiness Directive's compliance deadline, reviewing a torque/safety-wire job before sign-off, or writing a return-to-service log entry.

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。