'frequency' 검색 결과

Prepare SOX 404 testing materials for internal controls over financial reporting. Organize controls, select samples based on frequency and risk, and create workpaper templates with test procedures, evidence requirements, and a framework for assessing deficiencies.

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• Plan quarterly or annual internal control testing
• Select samples based on control frequency and risk
• Prepare testing workpapers for revenue, purchasing, or IT controls

Turn interview notes, survey responses, and customer feedback into findings supported by evidence. Group recurring themes, assess frequency and impact, and produce prioritized recommendations to guide product improvements and future research.

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• Finding shared issues across user interviews
• Organizing themes in open-ended survey responses
• Prioritizing improvements from support tickets

Get started with a game project by reviewing existing work and answering questions about the idea, project scope, and preferred confirmation frequency. Save initial project settings and receive a workflow matched to the chosen level of process.

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• Starting a game project without an idea
• Choosing next steps for a rough or clear concept
• Organizing existing game documents and code

Design OpenRig watchdog policies for stalled or drifting agent work. Choose a small wake-up message, a refocus, or a broader alignment check, and separate monitoring frequency from notification frequency using evidence about owners and artifacts.

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• Choosing an intervention for an inactive task owner
• Drafting messages that correct workflow drift
• Separating monitoring and notification intervals

Query gnomAD for variant frequencies, gene constraint measures, and effects on gene transcripts. Get concise Markdown summaries from focused requests, with options to return machine-readable JSON or save the full response to a file.

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• Checking the frequency of a specific genetic variant
• Retrieving gene constraint measures
• Looking up variant effects on gene transcripts

Review daily Meta ad performance to spot signs that audiences are tiring of your creatives. Classify ads by urgency using click rates, frequency, costs, and engagement trends, then plan which creatives to replace and when.

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• Checking the weekly health of active Meta ads
• Prioritizing creative replacements before review meetings
• Investigating creative fatigue as acquisition costs rise

Turn podcast clips, music, or spoken audio into MP4 videos with animated waveforms or frequency displays. Add a cover image and title to prepare audio content for sharing on video platforms.

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• Turn a podcast excerpt into a video
• Add animated frequency displays to music
• Pair spoken audio with a waveform and cover image

Use when the user asks to "is my ad fatiguing", "why is CTR dropping at scale", or "should I rotate creative / widen the audience"; reads frequency, CTR and CVR decay against an early-flight baseline and returns Rotate-creative / Widen-audience / Hold triggers with a per-ad-set fatigue read. Not for building the replacement creative — use ad-creative-builder; not for the RQS score or vetoes — use ad-account-auditor. 广告疲劳检测/频次管理/换素材还是扩人群

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Design and implement real-time audio processing chains using Audio Toolbox streaming objects. Use when building frame-based audio processing loops, multiband filters, dynamic range control, parametric EQ, level metering, loudness metering, SPL metering, octave-band analysis, sample rate conversion, frequency-domain filtering (long impulse responses, custom filter banks), or audio chains in Simulink. Covers visualization (visualize method), interactive tuning (parameterTuner), MIDI control, and Audio Toolbox Simulink blocks. Use when the user says "real-time audio", "streaming audio", "audio filter", "compressor", "equalizer", "level meter", "loudness meter", "SPL meter", "octave bands", "crossover filter", "audio chain", "MIDI control", "convolution reverb", "impulse response streaming", "frequency-domain filter", or asks to process audio frame-by-frame.

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Amazon Brand Analytics interpretation and strategic insights for Brand Registry owners. Decode Search Frequency Rank (SFR) data, analyze Market Basket patterns, interpret Item Comparison reports, and extract demographic insights to optimize product strategy and advertising spend. Works with Brand Analytics data from all Amazon marketplaces. Requires Brand Registry access. Use when: (1) analyzing Search Frequency Rank data for keyword opportunities, (2) interpreting Market Basket data for cross-sell and bundling, (3) understanding Item Comparison competitive positioning, (4) extracting customer demographic insights, (5) optimizing product portfolio based on customer behavior, (6) building data-driven advertising strategies.

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Use when a LIVE campaign needs a new asset the same day — creative fatigue, CTR decay, climbing frequency, or a new angle to test: stripped-down input, duplicate the winning creative and change only what is listed, a one-page template, and a hard SLA so the designer ships in 2-4 hours. Trigger on 'quick brief', 'need an asset fast', 'creative fatigue', 'swap the creative today', 'frequency is too high', 'the ad is dying and we need a new one'. Not for — planning assets before launch, see `41-campaign-asset-list-global`; a full concept brief with time to spare, see `42-image-brief-global`; resizing an existing master, see `50-asset-resize-global`; raising budget on a winner, see `55-scaling-ads-global`.

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Establishes behavioral baselines from historical telemetry (process, network, or logon events) so hunts can flag rare and first-seen activity instead of relying on static signatures. Activates for requests to build a telemetry baseline, find rare or first-seen activity, or compute frequency baselines for anomaly hunting.

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Detects command-and-control beacons in network logs by analyzing connection timing: measuring inter-arrival intervals, accounting for jitter, and scoring regularity per source/destination pair to surface periodic callbacks. Activates for requests to hunt C2 beaconing, find periodic callbacks, or analyze connection-interval regularity.

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The measurement surface for ALL Pulp DSP and audio-pipeline work — read it BEFORE writing or gating DSP, not only when something already sounds wrong. Covers the C++ harness (signal generators, metrics, assertions, RenderScenario, contracts), the offline Audio Doctor (magnitude/frequency response, THD/THD+N, phase/group delay), and their Python sibling the Audio Quality Lab (tools/audio/quality-lab — null residual + alignment, LTAS log-spectral distance, spectral flux/centroid, HNR, Theil-Sen drift slope, Kaiser-sinc resampling, license-guarded corpus, regression-net ratchet). TRIGGER on AUTHORING work — "build/design an oscillator/filter/synth/effect", "add a DSP module", "what should the acceptance gate be", "how do I measure aliasing / anti-aliasing / alias floor", "null against a reference", "is this DSP correct", "choose a tolerance", "golden/regression corpus for audio", "measure drift or jitter", "A/B two renders" — AND on DEBUGGING work — "is there sound / no audio / I hear nothing", "does this filter/compressor/synth/delay produce the right signal", "prove the DSP / prove the contract", "measure the frequency response", "what's the THD / is it distorting", "what's the group delay / phase response / measured latency", "magnitude response curve", "render a test tone and assert", "audio regression", "64-frame works but 128 is silent", "sample-rate change pitch-shifted it", "describe what's in this buffer", "audio doctor", "compare before/after a DSP refactor". Reach for this BEFORE hand-rolling any FFT, null test, alias measurement, pitch tracker, or golden-render script — most of it already exists in one of the two lanes. Test/tool layer over HeadlessHost — deterministic, no audio device, no speakers. Off the realtime thread entirely.

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Analyze server log files for crawl budget insights. Reads Apache Combined/Common or Nginx access logs locally (no external calls). Classifies bot vs user traffic, identifies top crawled URLs, crawl frequency by path, and crawl budget concerns. Use when user says "log analysis", "crawl budget", "server logs", "bot traffic", "crawl frequency", "access log", "analyze logs".

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Query gnomAD (Genome Aggregation Database) for population allele frequencies, gene constraint scores, and variant annotations to interpret ENCODE regulatory variants. Use when the user needs allele frequencies for variants in ENCODE regulatory elements, wants to assess gene constraint (pLI, LOEUF) for ENCODE target genes, needs population-specific frequencies for GWAS variants overlapping cCREs, wants to filter variants by rarity before functional annotation, or is interpreting ENCODE CRISPR/MPRA results in the context of population genetics. Also use when the user mentions gnomAD, allele frequency, pLI, LOEUF, constraint, rare variants, population frequency, ExAC, or variant filtering.

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Analyze what search queries Gemini uses when answering a prompt, by running it multiple times with Google Search grounding and reporting frequency distribution. Use when investigating AEO query patterns, understanding how AI models search the web for a topic, or studying the probabilistic nature of AI-triggered search queries.

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Use when the user asks to "is my ad fatiguing", "why is CTR dropping at scale", or "should I rotate creative / widen the audience"; reads frequency, CTR and CVR decay against an early-flight baseline and returns Rotate-creative / Widen-audience / Hold triggers with a per-ad-set fatigue read. Not for building the replacement creative — use ad-creative-builder; not for the RQS score or vetoes — use ad-account-auditor. 广告疲劳检测/频次管理/换素材还是扩人群

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Frequency-domain and signal-processing skill; use when working on Fourier, spectral, or resonance analysis.

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Agentic and machine-to-machine payments on Stellar. Covers x402 (HTTP 402 paid APIs via OZ Channels facilitator, fee-sponsored clients) and MPP (Machine Payments Protocol) in both Charge mode (per-request SAC) and Channel mode (off-chain commits, high-frequency). Defaults to USDC (SEP-41 SAC) on `stellar:testnet`/`stellar:pubnet` (CAIP-2). Use when selling a paid API to AI agents, building an x402 client, or designing a payment-channel architecture for high-frequency agent traffic.

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기존 화면이나 합의된 UI 안에 목적과 사용 빈도에 맞는 애니메이션을 구현합니다. 반복 조작으로 인한 중단과 동작 줄이기 설정도 처리합니다.

• 모달과 드로어의 열기·닫기 애니메이션
• 버튼과 토글 조작에 대한 피드백
• 반복 조작으로 중단되는 애니메이션 조정

Review website animations against users’ reduced motion preferences, a setting that requests less movement. Check flashing content, scrolling effects, alternative transitions, pause controls, and advance warnings, and identify changes needed in rendered pages and interactive states.

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• Checking support for reduced motion settings
• Reviewing flashing content frequency
• Finding alternatives to scrolling effects

Review frequent JavaScript events and apply debounce, which waits until activity stops, or throttle, which limits execution frequency. Identify handlers causing sluggish interfaces or excessive API calls, and define browser checks for the fixes.

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• Reduce repeated API calls from search inputs
• Review scroll and resize performance
• Choose between debounce and throttle

Search the 1000 Genomes Project’s 3,202 participants for genetic variants and their carriers. Filter by frequency or annotations, inspect variants in selected individuals, and check relatedness between two participants.

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• Find participants carrying variants that match specified criteria
• Inspect genetic variants carried by selected participants
• Identify participants with two reference copies at a position