「arm」の検索結果

Detect and investigate bulk registration abuse on SaaS platforms. Given access to a user database (or exported CSV/JSON), run a multi-dimensional anomaly analysis — email domain clustering, registration tempo, UA fingerprinting, session structure, usage patterns, and credit consumption — to produce a scored abuse report with actionable recommendations. Use when investigating suspicious sign-up spikes, credit fraud, free-tier abuse, or account farming.

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Use when preloading fonts, asset/network images, Lottie/Rive animations, local JSON/config, warming initial API data, or optimizing Flutter Web startup.

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Dung khi can nghien cuu tep truoc khi chay ads — interest va behavior mapping, do rong tep, phan tang cold/warm/hot, va gia thuyet targeting de test. Kich hoat khi user nhac 'nghien cuu audience', 'tep target', 'nham ai', 'interest targeting', 'chon tep chay ads', 'lookalike tu dau'. Khong dung cho — hieu tam ly va ngon ngu khach hang thi dung skill 09-insight-khach-hang; phan bo ngan sach cho tung tep thi dung skill 54-media-plan.

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Dung khi da co winner va muon tang quy mo ma khong lam hong — 7 dieu kien du de scale, tang doc +20-30% moi lan, mo rong ngang bang tep va kenh moi, va rui ro reset learning phase. Kich hoat khi user nhac 'scale ads', 'tang budget', 'nhan doi ngan sach', 'ads dang tot muon day manh', 'horizontal scaling', 'tang chi tieu'. Quy tac cung: khong tang budget khi CPL dang xau. Khong dung cho — CPL dang xau thi chay skill 21-audit-ads-performance truoc; nhan tep warm thi dung skill 56-retargeting-plan.

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Dung khi can tim va tiep can khach hang doanh nghiep — xac dinh ICP, dung danh sach prospect co nguon va ngay verify, cham diem Hot/Warm/Cold, va viet outreach qua Zalo, dien thoai, email. Kich hoat khi user nhac 'tim khach hang B2B', 'danh sach prospect', 'lead gen B2B', 'tiep can doanh nghiep', 'cold outreach', 'ban cho cong ty'. Khong dung cho — khach hang o NUOC NGOAI thi dung skill 29-xuat-khau-b2b; tai lieu ban hang va quan ly pipeline thi dung skill 71-sales-enablement; khach hang le B2C thi dung skill 09-insight-khach-hang.

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Use when the user wants a VALID experiment instead of a guess — hypothesis, one variable, sample size and runtime math, statistical significance, primary versus secondary metrics, multi-arm designs, and a results template, across Optimizely, VWO, and native Meta and Google tests. Trigger on 'A/B test', 'split test', 'how long should I run the test', 'is this result significant', 'test two versions', 'which creative is actually better'. Also use when a winner was declared after two days on tiny numbers. Not for — scaling the proven winner, see `55-scaling-ads-global`; analyzing data already collected, see `13-data-analysis-global`; auditing the account, see `21-ads-audit-global`.

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Use when a price has to be set or changed — value-based pricing, anchoring, charm pricing, decoy tiers, good-better-best packaging, discount policy, and margin math, with currency psychology for US, EU, SEA, and LATAM plus dropshipping markup and BE-ROAS. Trigger on 'pricing strategy', 'how much should I charge', 'should I raise prices', 'price tiers', 'customers say it is too expensive', 'dropshipping markup'. Also use when the product is not selling and the user suspects price is the reason. Not for — bonuses, guarantee, and value stack around the price, see `31-offer-design-global`; persuasion beyond price, see `16-marketing-psychology-global`; ad budget math, see `10-reverse-kpi-global`.

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Use when a WINNING ad has to be scaled without breaking it — readiness checks, vertical scaling at plus 20 to 30 percent per step, horizontal scaling into new audiences, creatives, and channels, learning-phase reset risk, how Advantage+ and Performance Max behave when scaled, creative refresh cadence, and the signals that mean stop. Trigger on 'scale ads', 'increase the ad budget', 'scale a winner', 'CPA went up after I scaled', 'how fast can I scale', 'it worked at 50 a day and broke at 200'. Not for — fixing an account that is not working yet, see `03-performance-eval-global`; warm audience plans, see `56-retargeting-plan-global`; proving the winner first, see `19-ab-test-setup-global`.

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Start a safe, governed autonomous loop from a plain-language goal. Use when the user says /coco-loop, "run an autonomous loop", "keep my build green for N hours", "work on X autonomously for a while", or wants a bounded self-improving loop that proposes fixes and never commits on its own. Turns a vague goal into a readable charter the user confirms, then arms and runs the loop propose-only under the coco-loops governance framework.

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The consumer panel. Spins up a swarm of buyer sub-agents (default 100, --quick for 20) trained on the user's target customer, each with a different income, age, buying behaviour and objection, shows every one the same pitch, and runs the business through 100 buyer scenarios to see who buys, who doesn't, and why. Tallies the answers into buy rates by segment, the reasons people pass in their own words, what would flip a no, and price answers for founder-pricing. Use when the user says "would people buy this", "test it on customers", "run the consumer panel", "simulate buyers", "who is my customer", or "validate demand".

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Implement a production SageMaker endpoint with autoscaling, CloudWatch alarms, and tags. Use after the serving image and IAM role are known; use the deployment planner first when architecture is undecided.

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。

Turn a rendered page (or several, side by side) into a scroll demo video — deterministic frame capture, ffmpeg H.264/GIF, labels per arm. Trigger: '시연 영상', '스크롤 영상 만들어', 'showcase', 'demo video', '비교 영상', 'record the page'.

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。

Turn a rendered page (or several, side by side) into a scroll demo video — deterministic frame capture, ffmpeg H.264/GIF, labels per arm. Trigger: '시연 영상', '스크롤 영상 만들어', 'showcase', 'demo video', '비교 영상', 'record the page'.

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。

한국어 블로그·장문 글을 12개 voice preset으로 작성하거나 다듬는다 — toss-tech-design (default), karrot-neighborly, brunch-maker-popular, naver-d2-engineering, biz-formal-report, academic-paper, journalism-broadsheet, kakao-warm-product, line-global-saas, academic-lecture-essay, emotional-brand, legal-disclosure.

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 coordination, critical path method, dependency DAG, and agent allocation optimization

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。

Abonelik fiyatlama stratejileri. 3-tier framework, price anchoring, charm pricing, regional pricing (18 ulke), introductory offers, win-back campaigns, churn prevention ve A/B testing methodology.

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。

Email delivery infrastructure - DNS authentication (SPF/DKIM/DMARC), subdomain isolation, provider abstraction, template systems, bounce handling, warmup strategy, and deliverability monitoring.

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Terminal pet that lives in your statusline. 12 species, 5 stats (DEBUGGING, PATIENCE, CHAOS, WISDOM, SPEED). Reacts to your workflow - happy when tests pass, sad when builds fail, excited during swarm mode. Deterministic species from user ID.

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First-time onboarding for new Agentara users. Use when user says "bootstrap", "/bootstrap", "get started", "first time setup", or when memory/USER.md and memory/SOUL.md are empty/missing. Inspired by the movie Her — warm, curious, subtly brilliant. The goal is to make the user feel understood within minutes and want to keep going.

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Create branded architecture, architecture delta, IT current-state, flowchart, sequence, state machine, ER/data model, timeline, swimlane, quadrant, radar/spider, polar chart (polar/radial lollipop), loop/flywheel, nested, tree, org chart, layer stack, exploded axonometric, axonometric plan, Venn, pyramid/funnel, treemap and marimekko, heatmap, bar and dumbbell, waterfall, line (slopegraph, ridgeline, streamgraph, bump), Gantt and scatter charts (bubble, beeswarm), high-level, process, medallion, data flow, DP integration, DP security matrix, Sankey, fishbone, Wardley map, kanban, user journey, deployment, dependency graph, UML class, story map, or database schema diagrams as HTML/SVG/PNG, with .drawio, Mermaid, and .excalidraw import, plus lifecycle phase maps, block decomposition trees, and onboarding guidance.

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Establish MSBuild/.NET build performance baselines before optimizing. USE FOR: a .NET build or solution that is slow or has build-performance concerns; cold, warm, incremental, or no-op measurements; before/after comparisons; CI build output caching; static graph build decisions; artifacts output; and dependency graph trimming. Start here before build-perf-diagnostics, incremental-build, or build-parallelism. DO NOT USE for webpack, npm, JavaScript bundlers, or other non-MSBuild build systems. For detailed target/task/analyzer bottleneck analysis after baselining, use build-perf-diagnostics.

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Migrate a .NET 10 project or solution to .NET 11 and resolve all breaking changes. This is a MIGRATION skill — use it when upgrading from .NET 10 to .NET 11, NOT for writing new programs. USE FOR: upgrading TargetFramework from net10.0 to net11.0, fixing build errors after updating the .NET 11 SDK, resolving source-breaking and behavioral changes in .NET 11 runtime, C# 15 compiler, and EF Core 11, adapting to updated minimum hardware requirements (x86-64-v2, Arm64 LSE), and updating CI/CD pipelines and Dockerfiles for .NET 11. DO NOT USE FOR: .NET Framework migrations, upgrading from .NET 9 or earlier, greenfield .NET 11 projects, or cosmetic modernization unrelated to the upgrade. NOTE: .NET 11 is in preview. Covers breaking changes through Preview 3.

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Orchestrates Volcengine Cloud Detect (云拨测) false-alarm reduction for failing periodic-task dial points. Use for scheduled task scans, retrying failed nodes, control-testing node health, distinguishing real target outages from broken dial points, and suggesting same-type LastMile/IDC/Private replacement nodes. Runs the byted-util-volcengine-cloud-detect volc_detect.py CLI only; requires that skill and ships no API/script implementation.

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Build personalized cold outreach sequences for LinkedIn and email. Use when someone needs to reach prospects, warm up cold leads, or build a systematic outreach engine. Covers research, connection requests, follow-ups, and conversion.

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。