「ads」の検索結果

Launch a paid ad campaign on a connected ad platform, approval-gated. "launch the Google Ads campaign"

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。

Import leads into a CRM with dedup, scoring and consent checks, approval-gated. "dedupe and score this lead list"

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。

Score ad creative fatigue against baseline, predict days left, brief refreshes. "are our ads fatiguing"

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 2-5 competitors once: positioning, content, SEO, ads, pricing. Ongoing → competitor-monitor. "how do we stack up against X"

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。

Connect a known MCP integration: check the registry and status, return exact setup steps. "connect Google Ads"

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。

Set up or update the brand profile every skill reads: voice, audience, compliance. "set up a new brand"

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。

Monitor competitors over time: baseline sites, pricing and ads by script, flag changes. "track our competitors over time"

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。

Draft content in brand voice through a gated pipeline: blogs, ads, emails. Brief only → content-brief. "write a blog post about X"

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 you are a registered relay agent (a spawned worker, or a lead that called register_agent) coordinating with peers in real time over current Agent Relay MCP tools - messaging, channels, threads, reactions, search, inbox, actions, and worker spawn/release. For role selection and orchestrator startup instructions, use https://agentrelay.com/skill and the orchestrating-agent-relay skill.

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。

A distinctive GPU shader background rendered in dependency-free WebGL — a marketing-grade hero backdrop. One per view; scrim behind text. Renders a static frame under prefers-reduced-motion.

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。

Words sit softly blurred; one snaps into focus at a time — leads the eye across a short phrase. One per view; short phrases. Under prefers-reduced-motion all words stay sharp.

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。

Acknowledge a tap/click with a ripple that blooms from the exact press point. Fast and low-opacity so it reads as feedback, not decoration. No ripple under prefers-reduced-motion (native :active covers it). Avoid on destructive actions and text links.

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。

Rise + fade key elements in as the page loads, optionally staggered. Use for hero content and a small group of important elements. Honors prefers-reduced-motion. For long lists or off-screen content use scroll-reveal instead; never delay must-read content by more than a moment.

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。

Skeleton placeholders with a soft sweeping shimmer while content loads. Use to fill space for cards/lists/profiles that are still loading and make the wait feel shorter. Honors prefers-reduced-motion (static skeleton). Only show while real content is loading — never as decoration.

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。

Head Shake — a drop-in CSS keyframe animation from Animate.css (Hippocratic-2.1, © Daniel Eden). No JS required. Honors prefers-reduced-motion. Use restrained; attribute Animate.css.

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。

A Material-style ripple spreads from the point of contact. An App-UI micro-interaction (mobile component feedback). Honors prefers-reduced-motion. Keep it short and snappy; only on controls that actually change state.

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。

Redesign a lesson to centre students' cultural backgrounds, community knowledge, and lived experience. Use when making curriculum relevant and inclusive for diverse student populations.

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。

Produces an adversarial attack on a legal argument that survives reply. Runs the opposing-counsel discipline twice: an unrestrained first pass, then the same instrument turned on that pass to cut every point that collapses under challenge - attacks on conceded facts, wrong-forum objections, speculation about documents and motives, gotchas with innocent explanations, overclaims, self-refuting assertions, and padding. The deliverable is one standalone attack containing only what can be defended, capped at five heads, not a discussion of the discarded draft. Use to attack, stress-test, red-team or rebut a submission, brief, motion, witness statement, letter or structured legal reasoning. Triggers on "attack this but only with points that hold", "no cheap shots", "what survives reply", "which points can I actually defend", "give me the version I can file", "double-pass adversarial review". Also use when an earlier adversarial review came back overlong or scattershot. Formal British English.

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。

Expert TSA cybersecurity compliance advisor for critical infrastructure owners and operators. Use this skill whenever a user asks about TSA Security Directives for pipelines, freight railroads, passenger rail, public transit, or bus operators; the TSA Cyber Risk Management Program (CRMP); Cybersecurity Implementation Plan (CIP); Cybersecurity Operational Implementation Plan (COIP); Cybersecurity Assessment Plan (CAP); incident reporting to CISA; designation of a Cybersecurity Coordinator; Critical Cyber Systems (CCS); OT/IT network segmentation; the TSA November 2024 NPRM; or any directive in the SD Pipeline-2021 series, SD 1580-21-01 (freight rail), or SD 1582-21-01 (public transit/passenger rail). Also trigger for questions like "are we covered by TSA directives?", "what does the TSA require for pipeline cybersecurity?", "how do I build a CIP?", "what must I report to CISA?", or any request involving transportation critical infrastructure cybersecurity compliance.

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。

Draft matter status reports from emails, call notes, and updates. Internal and client-facing formats, RAG logic, variance commentary, escalation flags. Use when asked to draft a status report, write a project update, summarise matter progress, prepare a client report, create a weekly or monthly update, convert emails into a status summary, or produce any kind of matter reporting. Also triggers when the user pastes email threads and asks what the status is, or needs to turn internal updates into client-facing reports.

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。

NIL (Name, Image, and Likeness) contract analysis for NCAA student-athletes from the athlete's perspective. Use when user says 'review this NIL contract', 'analyze this NIL deal', 'check this athlete agreement', 'review my NIL agreement', or uploads a PDF NIL contract for review. Identifies red flags, missing protections, and compliance issues. Produces a structured review memorandum with negotiation positions. Do NOT use for general contract review, employment agreements, non-NIL endorsements, or brand-side deal analysis.

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 whenever a lawyer or mediator needs help analyzing a dispute for mediation purposes. This includes: reviewing case materials (pleadings, contracts, correspondence, evidence) to identify issues in dispute, summarizing each party's position and interests, conducting legal analysis of the key issues, proposing mediation strategies or settlement directions, and preparing for mediation sessions. Trigger this skill when the user mentions 'mediation', 'dispute analysis', 'settlement', 'dispute resolution', 'identify issues in dispute', 'party positions', 'mediation brief', 'case analysis for mediation', 'ADR', 'mediation preparation', 'caucus strategy', 'settlement options', or any request to analyze a conflict between two or more parties with the goal of finding resolution. Also trigger when the user uploads case files and asks for a structured breakdown of who wants what, what the core disagreements are, or how the case might settle. Even if the user doesn't explicitly say 'mediation', trigger when the context involves analyzing opposing positions in a dispute with a resolution-oriented (rather than litigation-oriented) goal.

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。

Detects prompt injection hidden in documents from the other side (pleadings, skeletons, bundles, served evidence, opponents' emails and attachments) before an AI reads them, so the model is not turned against your client. Checks word by word that the text an extractor hands the model was visibly drawn on the page: white, near-white, covered, clipped, off-page, tiny, transparent and invisible-mode text in PDF (ink test plus OCR); Word formatting resolved as Word does (styles, shading, theme colours, scaling, off-page frames, fallbacks, unused headers); HTML/CSS, RTF, email with attachments and zips, xlsx/pptx and legacy formats. Flags Unicode smuggling, text addressed to an AI and authorities found only in hidden text. Fails closed. Optional Read-tool hook. Use BEFORE any AI summary or analysis of an opposing or third-party document. Triggers: 'scan for injection', 'is this document safe', 'check the other side's skeleton', 'injection guard'.

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 a spreadsheet of test entries — newly designated names from OFAC, OFSI, and EU sanctions lists plus deliberate variations of those names — to validate that a sanctions screening system catches fresh designations and is tuned to the right fuzziness threshold. Use this whenever the user asks for sanctions list update test data, screening regression test data, screening QA, fuzzy match calibration, or wants to verify their screening lists are current. Trigger even if the user doesn't say 'screening' explicitly — phrases like 'test my sanctions list', 'check our SDN coverage', 'is my list up to date', or 'build me a regression set from the latest designations' should also invoke this skill.

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。