「signal」の検索結果

Product-led growth and customer-base growth for B2B SaaS. Use this skill for self-serve funnel work (activation, time-to-value, free trial vs freemium, PQL definition, in-product upgrade moments, sales-assist triggers), for the self-guided interactive product demo that runs in front of the login wall (demo portfolio and flow design, gated vs ungated policy, demo seed data and privacy, keeping a published demo in sync with the shipping product, step-level demo analytics), and for growing revenue from existing customers (adoption, expansion, churn-save, the self-serve cancel flow and failed-payment recovery, renewal marketing, net revenue retention, and champion tracking: watching the people who bought and used you at each customer, confirming a job change from evidence, and running both plays a move fires, the seat they left and the account they joined). Also triggers on: PLG, product-led growth, activation, aha moment, time to value, free trial, freemium, PQL, product qualified lead, onboarding, self-serve, customer marketing, expansion revenue, upsell, cross-sell, churn, retention, NRR, renewal, cancel flow, cancellation flow, save offer, exit survey, pause subscription, dunning, failed payment recovery, involuntary churn, people keep canceling, champion tracking, job change signals, job change alerts, our champion left, our champion changed jobs, customer alumni, former customers who moved to a new company, interactive demo, self-guided demo, product tour, click-through demo, demo automation, demo library, should our demo be gated, ungated demo, demo without a sales call, our demo is out of date, demo shows the old UI, put a demo on our homepage, demo completion rate, demo drop-off, try before you talk to sales.

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Use when a task needs the judgment of an Epidemiologist — investigating a disease outbreak and identifying its source, designing a case-control or cohort study to test an exposure hypothesis, calculating attack rates/odds ratios/relative risk from surveillance data, evaluating whether a surveillance system is sensitive and timely enough to catch a real signal, or judging whether an observed case cluster is a true outbreak or expected background variation.

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 Electronics Engineer working on RF, analog, and mixed-signal hardware — closing an RF link budget for a wireless telemetry radio, sizing an op-amp or instrumentation-amplifier front end against a gain-bandwidth constraint, designing an anti-alias or IF filter to a cutoff and Q, pre-checking a design against FCC/IEC EMC radiated-emissions limits before formal compliance testing, or picking between a superheterodyne and direct-conversion receiver architecture.

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 Nutrition and Dietetics Technician, Registered (NDTR/DTR) — translating a physician's diet order into a texture/therapeutic tray specification, triaging a nutrition-screening or intake-decline signal for RDN escalation, auditing a tray line or food-safety log against a threshold, or drawing the line between routine dietetics work and a nutrition-diagnosis call that belongs to the supervising RDN.

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 crossing guard or traffic flagger — siting a school crossing or work-zone flagger station, choosing high-visibility apparel class and taper length for a lane closure, deciding whether a crossing needs an adult guard versus a signal, or writing site-specific positioning instructions for a new location.

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 construction laborer — determining which OSHA-mandated protective system (sloping, benching, shoring, or shielding) a trench needs given its soil classification and depth, working as spotter/signal person on a crane or heavy-equipment lift, staging material and equipment on an active multi-trade site, or reading which hazard zone (excavation, crane swing, electrical rough-in) is live as work moves across the site.

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 Crane and Tower Operator — deciding whether current gust readings require a stand-down given a specific load's sail area, running a blind lift through a signal person when the pick or landing zone is outside the cab's sightline, reading a fixed installation's load chart at the counterweight/jib configuration actually installed, calculating each crane's load share on a two-crane tandem pick, or judging when to set the jib to free-slew ahead of a wind event.

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 Community Health Worker — screening a client for social-determinants-of-health barriers, triaging a referral to housing/food/transportation resources, translating a clinical instruction into a teach-back-verified action plan, or deciding whether a no-show pattern signals disengagement or an unaddressed barrier.

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 Molder, Shaper, or Caster (ceramics, concrete, and similar non-metal, non-plastic materials) — calculating mold/pattern dimensions from a material's actual characterized shrinkage rate, deciding whether a demolding decision should follow a fixed time or a material readiness signal, controlling drying/curing rate to avoid cracking on uneven-thickness parts, or verifying mold dimensional accuracy after extended use.

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 audio and video technician — setting up and operating audio/video equipment for a live event (concert, conference, keynote, broadcast remote), coordinating wireless mic frequencies on site, diagnosing a live audio/video signal-chain failure during a show, or sequencing a load-in against a fixed doors-open deadline.

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 astronomer — calculating exposure time or signal-to-noise for a target, writing the feasibility math for a telescope-time proposal, reducing photometric or spectroscopic data, distinguishing a systematic error floor from statistical noise, or reviewing an observational result for calibration or upper-limit red flags.

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 Brewmaster — setting or correcting mash pH before conversion, calibrating yeast pitch rates from wort gravity, deciding whether a diacetyl (VDK) reading clears a batch for cold crash or requires a diacetyl rest, investigating a contamination or off-flavor signal and scoping a recall, or specifying dissolved-oxygen and pasteurization controls to hit a TTB-compliant ABV label.

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 Bridge and Lock Tender — deciding whether to open a movable span for a vessel signal during a restricted-hours window, sequencing a lock chamber's fill/empty and valve staging, verifying an interlock/gate cycle before commanding span movement, resolving a marine-traffic-vs-vehicle-traffic conflict, or coordinating a vessel passage over VHF.

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 audiovisual equipment installer/repairer — diagnosing an EDID or HDCP handshake failure between a source and a display, sizing a display's screen size and brightness for a room's viewing distance and ambient light, specifying an HDMI/HDBaseT/AVoIP signal run against its rated distance ceiling, designing conference-room speaker placement and acoustics, or drawing the install-vs-programming boundary with a control-system (Crestron/Extron/AMX) integrator.

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。

Plan and execute integrative analysis combining multiple ENCODE experiments for cross-dataset or multi-omic workflows. Use when the user wants to combine experiments, perform cross-dataset comparison, multi-omic integration, peak overlap analysis, differential binding, signal correlation, chromatin state segmentation, enhancer-gene linkage, or any analysis that requires merging or comparing data from two or more ENCODE experiments. Covers same-assay cross-sample, multi-omic same-sample, cross-organism, and perturbation integration designs. Guides compatibility checks, batch effect detection, normalization, integration strategy selection, and provenance documentation.

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。

Find and work with ENCODE single-cell genomics data including scRNA-seq and scATAC-seq. Use when the user asks about single-cell experiments, cell type resolution, clustering from ENCODE data, deconvolution of bulk signals using single-cell references, or comparing single-cell vs bulk profiles. Covers platform differences (10X Chromium, Smart-seq2, Drop-seq), quality limitations of single-cell data, multimodal integration (RNA+ATAC), and cross-study reproducibility concerns. Also use for cell type annotation, gene detection limits, dropout artifacts, and single-cell data structure in ENCODE.

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。

Execute CUT&RUN processing pipeline from FASTQ to peaks and signal tracks. Child of pipeline-guide. Provides Nextflow execution with Docker and cloud deployment. Use when processing CUT&RUN or CUT&Tag data, an alternative to ChIP-seq with lower background. Trigger on: CUT&RUN pipeline, CUT&Tag, SEACR, Henikoff, targeted chromatin, pA-MNase, process CUT&RUN.

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。

Guide for integrating CellxGene Census single-cell data with ENCODE bulk experiments. Use when users need cell-type-specific expression context for ENCODE regulatory data, want to deconvolve bulk ENCODE signals, or validate regulatory elements at single-cell resolution. Trigger on: CellxGene, single-cell atlas, cell type expression, Census, cell type specificity, single-cell context, scRNA-seq atlas.

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。

Execute ENCODE RNA-seq pipeline from FASTQ to gene quantification and signal tracks. Child of pipeline-guide. Provides Nextflow execution with Docker and cloud deployment. Use when processing RNA-seq data with STAR alignment, RSEM/Kallisto quantification, or generating expression matrices. Trigger on: RNA-seq pipeline, gene expression, STAR alignment, RSEM quantification, transcript quantification, TPM, FPKM, RNA processing, run RNA-seq.

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。

Execute ENCODE ATAC-seq processing pipeline from FASTQ to peaks and signal tracks. Child of pipeline-guide. Provides stage-by-stage Nextflow execution with Docker containers and cloud deployment. Handles Tn5 transposase offset correction, mitochondrial read removal, and nucleosome-free fragment selection. Use when users need to process ATAC-seq data following ENCODE standards. Trigger on: ATAC-seq pipeline, run ATAC-seq, process ATAC-seq, chromatin accessibility, open chromatin, Tn5 shift, TSS enrichment.

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。

Multi-agent code review using the Pragmatic Quality framework. Orchestrates parallel review agents (CLAUDE.md compliance, bug scanning, git history, security) with independent confidence scoring to produce high-signal findings. Use when user runs /code-review, /review:code-review, requests a "code review", "review my changes", "PR review", or mentions "review diff", "review branch".

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。

Comprehensive SEO analysis for any website or business type. Orchestrates 52 sub-skills (52 active): full site audits, technical SEO (CWV/INP), schema, E-E-A-T content quality, images, sitemaps, GEO for AI Overviews, llms.txt generation, AI crawler audit, plus live GSC and Ahrefs MCP data. GSC: overview, drops, opportunities, brand-vs-nonbrand, cannibalization, compare, content-decay, index-issues, new-keywords. Ahrefs: overview, backlinks, keywords, competitors, content-gap, broken-links, new-links, anchor-analysis, dr-history, top-pages. Cross-MCP: serp, content-brief, brand-radar, site-audit-pro, report. Local: log-analysis, ai-content-check, internal-links, local, migration-check, obsidian-kb. AI Readability: llms-txt, robots-ai. Performance: lighthouse-audit, core-web-vitals, page-experience. Quality & AI Search: rich-results, ai-optimization, eeat-audit, helpful-content. Triggers on: "SEO", "audit", "schema", "Core Web Vitals", "sitemap", "E-E-A-T", "AI Overviews", "GEO", "technical SEO", "content quality", "structured data", "GSC", "Ahrefs", "backlinks", "keywords", "search console", "domain rating", "local SEO", "migration", "lighthouse", "pagespeed", "LCP", "INP", "CLS", "page experience", "interstitials", "mobile friendly", "rich results", "rich snippets", "schema eligibility", "AI optimization", "AI search readiness", "EEAT", "trust signals", "helpful content", "people-first", "content quality gate".

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。

Holistic page-experience self-assessment mirroring Google's own question list: Core Web Vitals, HTTPS, intrusive interstitials, mobile usability, content prominence, and ad distinguishability. Use when user says "page experience", "UX signals", "interstitials", "mobile friendly", or "HTTPS check".

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。

Optimize content for AI Overviews (formerly SGE), ChatGPT web search, Perplexity, and other AI-powered search experiences. GEO analysis enriched with Ahrefs Brand Radar AI visibility data when available. Includes brand mention signals, AI crawler accessibility, llms.txt compliance, passage-level citability scoring, and platform-specific optimization. Use when user says "AI Overviews", "SGE", "GEO", "AI search", "LLM optimization", "Perplexity", "AI citations", "ChatGPT search", "AI visibility", or "Brand Radar".

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。