「job」の検索結果

Produce a comprehensive prompt that hands off the current session's work to a fresh session for sub-agent-orchestrated execution. Use when the user wants to execute discussed/planned work in a new session, run a job to completion via sub-agents, or generate a portable handoff prompt with per-task verification. Assumes the target session supports sub-agents. Triggers on "subagent-prompt", "give me a prompt to run this in a new session", "hand this off to sub-agents", "execute this with sub-agents".

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。

Run GitHub Actions workflows locally with act on macOS. Use when validating workflow wiring or a job before pushing. Not for authoring the workflow itself (ci-workflow-authoring).

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。

Add or modify a GitHub Actions job. Use when editing a file under .github/workflows/. Not for running a workflow locally (local-ci-act) or release signing (release-signing).

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。

Kundenforschung datensparsam und einwilligungsorientiert planen, durchführen und auswerten. Nutze diesen Skill für Interviewleitfäden, Umfragen, Usability-Tests, die Auswertung vorhandener Gespräche, Support-Tickets oder Bewertungen, und für Personas, Segmente und Jobs-to-be-Done. Klärt vorab Zweck, Rechtsgrundlage, Einwilligung, Aufzeichnung, Pseudonymisierung und Aufbewahrung, wertet nur innerhalb des Stichprobenrahmens aus und trennt Befund von Entscheidung. Beachtet DSGVO, BDSG und Beschäftigtendaten; Österreich und Schweiz werden getrennt behandelt.

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。

Belastbaren Produktmarketing-Kontext für Positionierung, Zielgruppen, Botschaften, Einwände und Nachweise erstellen, prüfen und aktualisieren. Nutze diesen Skill, wenn die gemeinsame Grundlage fehlt, auf die sich Texte, Content, Vergleiche und Kampagnen stützen sollen: ICP, Jobs-to-be-Done, Nutzenversprechen, Differenzierung, Preislogik, Einwandbehandlung und Belegklassen. Legt das Ergebnis als `.agents/product-marketing.md` im Projekt ab und kennzeichnet, was belegt, was Anbieterangabe und was Annahme ist. Ersetzt weder Kundenforschung noch Rechtsprüfung.

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。

Side-by-side comparison of two financial scenarios (buy vs rent, new job vs stay, payoff house vs invest, Roth vs Traditional, lease vs buy car, etc). Projects each scenario over 10 years, compares total cost, opportunity cost, risk profile, and produces a structured recommendation. Output saved as FINANCE-COMPARE.md.

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。

Emergency fund analyzer. Calculates the right emergency fund size based on job stability, family structure, fixed expenses, dependents, and employee vs. business-owner status. Recommends where to keep it (HYSA, money market, T-bills, I-Bonds), how fast to build it, what counts as a true emergency, and how to replenish after use. Produces FINANCE-EMERGENCY.md.

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。

Personal finance assistant for budgeting, savings goals, investment tracking, debt optimization, tax preparation, insurance review, net worth tracking, and financial scenario modeling. Supports multi-currency, bank statement import (CSV/MT940/OFX), and locale-based tax rules. Use for any personal finance question: budget planning, expense tracking, portfolio allocation, FIRE calculations, debt payoff strategies, mortgage comparisons, tax deductions, insurance coverage, retirement planning, and life events with financial impact such as marriage, buying a house, changing jobs, having a baby, or going freelance.

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。

Reach ANY tonone specialist on demand, even ones not installed in this session's roster — no restart needed. Use when asked "which agent handles this", "reach a specialist we didn't install", "route this to the right agent", or whenever a scoped apex-profile roster is missing the right hat for the job.

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。

Applying motion study and time analysis to household work. Based directly on Lillian Gilbreth's *The Home-Maker and Her Job* and *Cheaper by the Dozen*, this skill covers the therblig-motion catalog, task decomposition, batch processing, parallelism, routine chart design, and the ergonomics of work surfaces. Use when diagnosing why a household is running out of time, designing a weekly routine, teaching task sharing to children, or reducing the friction of any repeated household task.

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Entrepreneurship, innovation, and disruption for starting, scaling, and defending new ventures. Covers opportunity recognition, jobs-to-be-done, the disruptive innovation framework, sustaining vs disruptive innovation, platform businesses, network effects, minimum viable product, customer development, and the startup lifecycle from idea to exit. Use when evaluating a venture idea, positioning a new product, interpreting a competitive threat, or designing a platform.

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。

Launches and supervises long-running commands — solves, workflows, downloads, builds — detached with a log, PID and exit sentinel, then tells stuck from slow and kills verifiably. Use before running anything that may exceed a minute, for nohup or background launches, and when a run hangs, shows no output, or timed out.

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 MDMA into an application and build features with it — wire up parsing, the runtime store, React rendering, LLM streaming, custom components, prompts, and CI validation. Use this skill when the user asks to add MDMA to an app, build a chat that streams MDMA, author or maintain a custom prompt, validate MDMA documents, register a custom component, or expose MDMA to an agent via MCP. Generates focused, correct wiring that uses the right packages for the job instead of reinventing them.

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。

Summarise the job search from the markdown tracker - funnel, response rate, what's working, where applications come from, what's pending on the user. Use when the user runs /seekter-report or asks how the search is going, for weekly numbers, or what to change.

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 designing or validating GitLab CI/CD and automatic release lifecycles, inspecting pipeline and job state read-only, composing non-interactive merge-request commands, or setting up protected refs and release credentials. Also covers reusable components and inputs, GitLab Functions, gitlab-ci-local, glab command composition, and GitLab Flavored Markdown. For pipeline execution or retry requests, provide inspection and command drafting while leaving execution to the operator.

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 finding real role-holders at known company domains from an ICP, especially prompts like 'find all job titles at these companies', 'find qualified titles', 'find RevOps or marketing-ops buyers', or when exact title discovery should precede paid people search.

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 the user wants a last30days-style pre-research pass in Deepline: discover the critical public, private, CRM, workflow, social, and web data sources for a research/enrichment job; compare provider coverage; estimate Deepline credit cost; recommend the source plan before building or running the workflow; or build custom language/messaging from buyer, competitor, community, and CRM evidence. Triggers: pre-research, source discovery, provider strategy, research data sources, ScrapeCreators, X/Twitter data, Reddit comments, public and private datasets, CRM data, workflow data, custom language, messaging language, pain language.

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。

ACCESS-GATED beta. Deepline Monitors are provider event feeds (job posts, email replies, funding, intent) that stream into your warehouse and trigger plays. Only use if you have monitor access: run `deepline monitors status` first; if it reports no access, do NOT use this recipe — tell the user to contact the Deepline team.

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 ChatGPT/Codex Plugin needs a production-ready visual identity and SVG logo system that clearly expresses the Plugin's job across light and dark surfaces.

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Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.

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 tailored resume from job + source resume. Orchestrates the rewriting of bullet points to emphasize relevant experience without fabrication.

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。

Generate semantic + keyword match score. Compares resume content against job description to calculate a fit score and identify gaps.

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, run, schedule, or debug MotherDuck Flights, Python jobs executed on MotherDuck compute.

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 the user wants to run a diffusers pipeline from a terminal (one-off generation, batch jobs, smoke-testing a new model), run on HF Sandbox hardware via `--remote`, introspect a pipeline's input schema before calling it, or attach a LoRA at inference time. Prefer this over writing ad-hoc Python scripts for generation tasks.

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。