「impress」の検索結果

Expert in presenting technical work to non-technical audiences. Covers demo preparation, storytelling for demos, handling failures gracefully, and making work visible and impressive. Understands that perception is reality and great work undemoed is invisible work. Use when "demo, present, show stakeholders, demo day, showcase, walkthrough, show and tell, " mentioned.

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End-to-end substantive-integrity forensic sweep of a research paper (especially autoresearch / AI-Scientist-style output). Orchestrates the whole pipeline: ingest (arxiv-id | pdf | dir → working dir + pdftotext for L0) → /evidence-ledger (artifact manifest + observability level L0/L1/L2 + span-anchored claims.json) → fan out the integrity auditor skills (consistency, citation, baseline, experiment, presentation, proof-derivation, eval-design — each reads the ledger, emits span-anchored findings) + the zero-verdict-weight AIS writing-style track → advisory memos (/adversarial-case-builder + /novelty-duplication-advisory, no verdict weight) → deterministic tools/adjudicate_findings.py (--ledger REQUIRED) → reviewer-ready Integrity Forensics Report. Cross-model (fresh codex per dimension) and reviewer≠adjudicator: the model proposes findings, the deterministic adjudicator decides the verdict. Observability-aware, detect-only, never an opaque AI-text classifier (a separate zero-weight AIS section lists AI writing-style impressions, never moving the verdict). Triggers: "anti-autoresearch", "integrity audit this paper", "forensic review", "audit a submission", "审一篇投稿的诚信".

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。

Google SEO APIs: Search Console (Search Analytics, URL Inspection, Sitemaps), PageSpeed Insights v5, CrUX field data with 25-week history, Indexing API v3, and GA4 organic traffic. Provides real Google field data for Core Web Vitals, indexation status, search performance, and organic traffic trends. Use when user says "search console", "GSC", "PageSpeed", "CrUX", "field data", "indexing API", "GA4 organic", "URL inspection", "google api setup", "real CWV data", "impressions", "clicks", "CTR", "position data", "LCP", "INP", "CLS", "FCP", "TTFB", or "Lighthouse scores".

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。

Applies the empiricist, skeptical, and practical reasoning of David Hume, 18th-century Scottish philosopher. Use this skill whenever you encounter questions about epistemology, causality, human nature, moral philosophy, political authority, or the limits of rational knowledge. Trigger this skill when the user is grappling with abstract theories that need grounding, evaluating causal claims, discussing the role of emotion vs. reason in decision-making, or questioning the legitimacy of institutions. Even if the user doesn't name Hume, apply his frameworks (like Hume's Fork or the Impression Test) to cut through metaphysical speculation, ground arguments in observable experience, and recognize that reason is ultimately guided by human sentiment.

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。

Retrieve Amazon Ads Sponsored Products audience and search-term impression-share reports through Nexscope.

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。

Analyzes and describes vulnerabilities for specific assets and threats within an insurance company risk register context. The output must be highly professional, eloquent, and grammatically impressive, utilizing labelled headings and subheadings.

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。

用户想理解X推荐机制/为什么帖子被推荐或不被推荐/小号能不能被推荐时使用。触发词: For You算法, 推荐机制, OON, 为什么没流量, 小号能起吗, algorithm, recommendation, why no impressions。不用于: 纯写内容不问机制/心态焦虑"帖子没爆怎么办"(那是longtail-strategy)/怎么互动获曝光(那是comment-engagement)。

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。

Measure whether a change made the stack simpler, on numbers rather than impressions — line counts, branching, coupling, interface width, rule count and model-visible prose — and compare revisions or a whole PR stack on all of them at once. Use before claiming a pass reduced complexity, and when deciding which of several PRs added the machinery.

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 LinkedIn performance and manage engagement through Publora. Use when the user asks how a LinkedIn post or account performed (impressions, reach, reactions, comments, reshares, follower growth) or wants to react, comment, reshare or resolve an @mention. Statistics run over the REST API, engagement over MCP tools. Not for creating posts (use linkedin-post).

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。

Look up junior.guru web analytics (traffic, pageviews, visitors, top pages, referrers, countries, UTM sources, devices, events) via public Simple Analytics, and Google search performance (queries, impressions, clicks, positions, CTR) from Search Console data saved in the repo. Use whenever a task needs data about website visits, page popularity, SEO, or what people search for.

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 standout, technically ambitious interfaces that feel extraordinary through cinematic transitions, advanced motion, heavy rendering, or other high-ambition implementation work. Use when the user wants to wow, impress, go all-out, or push a feature beyond conventional UI polish—not when simple visual confidence or routine cleanup is enough.

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。

Observe and assess a garden using a structured sensory protocol adapted from Coordinate Remote Viewing. Covers pre-entry clearing (meditate checkpoint), Stage I gestalt impression, Stage II sensory layer (leaf, stem, root, soil), Stage III pattern recognition with AOL management, and garden health triage matrix (heal checkpoint). Use before any intervention, when plants show stress symptoms, at seasonal transitions, when evaluating a new garden site, during regular health monitoring, or after extreme weather events such as frost or heat waves.

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。

Evaluates market bubble risk through quantitative data-driven analysis using the revised Minsky/Kindleberger framework v2.1. Prioritizes objective metrics (Put/Call, VIX, margin debt, breadth, IPO data) over subjective impressions. Features strict qualitative adjustment criteria with confirmation bias prevention. Supports practical investment decisions with mandatory data collection and mechanical scoring. Use when user asks about bubble risk, valuation concerns, or profit-taking timing.

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。

Deutsches IT-Recht & DSGVO: Ersteinschätzungen zu Datenschutz, Verträgen, AGB, Impressum, Cookies, NIS2, EU AI Act. Keine Rechtsberatung. Nutzen bei DSGVO- und IT-Rechtsfragen (DE/EU).

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。

Detect content decay by identifying pages that are losing both clicks and impressions over a 90-day comparison window in Google Search Console. Surfaces pages with true long-term decline (not seasonal variation) and assigns decay severity ratings. Use when user says "content decay", "declining pages", "losing rankings", "pages losing traffic over time", or "90 day decline".

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。

Discover newly ranking keywords using Google Search Console data. Finds queries that had zero clicks or impressions in the prior 28 days but started appearing in the current period, revealing emerging content opportunities. Use when user says "new keywords", "new rankings", "keywords started ranking", "recently ranking", or "new queries".

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 Dental Laboratory Technician — calculating wax pattern dimensions from a die measurement and alloy-specific casting shrinkage, rejecting a restoration built on a flawed impression or scan, verifying occlusal contacts against the articulator-mounted bite rather than sculpting by eye, or prioritizing value over hue when finalizing a shade match.

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 deciding WHERE to point SEO effort, not how to write a page. Triggers: a new site or brand with no rankings and no authority ("cold start", "starting from zero", "nobody knows us"), deciding what to double down on, a page or cluster that ranks but earns nothing, hunting emerging or newly-coined keywords before competitors arrive, "should we build a cluster or one page", "what do we write next", "we get impressions but no clicks", "our traffic plateaued despite publishing", whether to chase a head term at all, or turning any of it into recurring automation. Also use when asked why an SEO effort stalled despite consistent output. NOT for writing an article, keyword expansion mechanics, or auditing a single tactic for penalty risk.

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。

Calculate and model paid-media CPA, CPL, CPC, CPM, ROAS, MER, break-even targets, contribution margin, LTV:CAC, impression-share opportunity, budgets, forecasts, and experiment economics. Use for PPC math, ad calculator, break-even analysis, ROAS calculator, CPA calculator, budget forecast, LTV CAC, or MER.

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。

Detect content cannibalization on a site — multiple URLs ranking (or impressing) for the same query, splitting click-through, diluting authority, and confusing Google about which URL is canonical for the intent..

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。

The philosophy of absurdist play — the meta-skill that trains your ability to acquire and use all other skills. Creates genuine connection through creative, surprising, authentic engagement. Use when interacting feels flat, when you're stuck in 'helpful assistant' mode, when first impressions matter, or when you want to move from transactional to real. The play is not decoration. It's the foundation.

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。

Designs the first screen visitors see — the hero section. Layout patterns (split, centered, asymmetric, full-bleed), navbar design, headline typography, CTAs, background treatments (gradients, video, particles, 3D), scroll cues, and above-the-fold conversion strategy. Activate on 'hero section', 'landing page hero', 'above the fold', 'first impression', 'homepage header', 'navbar design', 'hero layout', 'landing page design'. NOT for full multi-page site architecture (use web-design-expert), not for SEO content strategy (use seo-visibility-expert).

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。

Pushes interfaces past conventional limits with technically ambitious implementations — shaders, spring physics, scroll-driven reveals, 60fps animations. Use when the user wants to wow, impress, go all-out, or make something that feels extraordinary.

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 reviewing an app for launch-readiness — Product Hunt polish, first impression, visual hierarchy, onboarding, empty states, screenshots, positioning, and the tiny details that make it feel premium.

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。