「zero」の検索結果

Methods and models for handling zero-inflated single cell assay data.

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Statistical and computational method to analyze the co-expression of gene pairs at single cell level. It provides the foundation for single-cell gene interactome analysis. The basic idea is studying the zero UMI counts' distribution instead of focusing on positive counts; this is done with a generalized contingency tables framework. COTAN can effectively assess the correlated or anti-correlated expression of gene pairs. It provides a numerical index related to the correlation and an approximate

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Expert knowledge for Azure Defender For Iot development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring OT sensors/micro agents, traffic mirroring, Zero Trust OT monitoring, SIEM/SOAR integrations, or OT network design, and other Azure Defender For Iot related development tasks. Not for Azure Defender For Cloud (use azure-defender-for-cloud), Azure Security (use azure-security), Azure IoT (use azure-iot), Azure IoT Hub (use azure-iot-hub).

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Reusable approval-loop pattern for fanning out lead personalization across parallel Claude Code Task sub-agents. Shows the user 1 sample personalization, collects feedback, runs 10 more, approves, runs 10 more — stops when 2 consecutive rounds have zero edits, then scales to the full list. ALWAYS uses Claude Code Task tool sub-agents — never an external Anthropic/OpenAI API key. Use when any skill needs per-lead custom variables (situation lines, value lines, CTAs).

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Complete beginner-friendly cold email toolkit. Walks from zero to launched campaign — domain purchase, inbox setup, list building, copywriting, enrichment, and sending via Smartlead or Instantly. Use when setting up cold email for the first time, launching a new campaign, teaching someone cold email, or when you need an end-to-end guide that bundles strategy, copy, infrastructure, and API references in one place.

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Single "start here" orchestrator for new cold email operators. Asks infrastructure-status questions first, then runs /icp-onboarding → /lead-magnet-brainstorm → /campaign-strategy in sequence, producing a consolidated campaign-plan.md. Ends with an interactive menu of next skills branched on whether the user already has domains/inboxes. Use as the very first invocation on any new repo checkout or when onboarding someone to cold email from zero.

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Interactive loop that builds and tunes an AI prompt for evaluating whether a company fits a client's ICP. Run after any list-building skill (disco-like, blitz-list-builder, google-maps-list-builder, prospeo-full-export) to qualify companies before scaling. Iterates batches of 10 companies with user feedback, stops when 2 consecutive rounds have zero corrections, saves the final prompt for reuse. Always uses Claude Code Task sub-agents — never an external API key.

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Create detailed implementation plans with bite-sized tasks for engineers with zero codebase context

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Find intersection niches where you're the ONLY voice. Thiel's "competition is for losers" lens. Triggers on: "find my monopoly niche", "blue ocean niche", "unique niche", "niche intersection", "where am I the only one", "zero competition niche", "untapped niche", "category of one", "Thiel monopoly", "dominate a niche", "niche nobody else covers", "cross two domains", "find a niche with no competition", "monopoly positioning", "unique angle for affiliate".

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Release-readiness umbrella check for a scaffolded harness — runs doctor, witness verify, hardcoded-path scan, MCP server config, and GCP Secret Manager validation in one shot. Exits non-zero if any sub-check fails.

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Maximum-efficiency dev mode: terse zero-fluff prose + YAGNI/ladder-first code. Use when user says "chisle mode", "activate chisle", "chislify", "be efficient", "be minimal", "no fluff", "yagni", or invokes /chisle. Deactivate: "stop chisle" / "normal mode".

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Use when starting work on a PERSONAL brand — a founder, coach, or creator, not a company: creates `.agents/personal-brand-context-global.md` covering story, expertise, audience, positioning, platforms, visual identity, and the asset inventory of style refs, face refs, logo, palette, and background, with region variants for US, EU, SEA, and LATAM. Skills 23 to 28 read it first. Trigger on 'personal brand setup', 'set up my founder brand', 'coach personal brand context', 'creator profile setup', 'the AI does not know my story', 'build my personal brand from zero'. Not for — a company or product brand, see `00-marketing-plan-global` and `product-marketing-context-global`; the 12-month strategy built on this, see `23-personal-brand-strategy-global`.

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Use when the user needs to choose and stand up marketing channels and the tech behind them — channel selection scoring, platform-by-platform setup checklists, business account and verification steps, and integrations, with region priorities: US Meta plus Google plus LinkedIn, EU adding Xing, SEA adding TikTok, Shopee, Lazada and LINE, LATAM adding WhatsApp Business and Mercado Libre. Trigger on 'channel setup', 'which platforms should we be on', 'set up Google Business Profile', 'marketing tech stack', 'we are starting from zero on social', 'connect our accounts'. Not for — conversion tracking and pixels, see `53-tracking-setup-global`; ad account hierarchy, see `52-account-structure-global`; the posting plan once channels exist, see `01-content-calendar-global`.

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Phase 0 of the prd-taskmaster pipeline. Resolves the active backend, initializes the project, configures the provider stack when the TaskMaster backend is active (DETECT-FIRST — never overwrite a working user config), and verifies the AI pipeline. Autonomous: zero user questions unless a hard block is hit. Declares the Setup phase complete so DISCOVER can follow.

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Zero-config goal-to-tasks engine (the Atlas engine). Takes any goal (software, pentest, business, learning), runs adaptive discovery via brainstorming, generates a validated spec, parses into TaskMaster tasks, and hands off to execution. Use when user says "PRD", "product requirements", "I want to build", invokes /atlas, or wants task-driven development.

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Zero-config goal-to-tasks engine. Takes any goal (software, pentest, business, learning), runs adaptive discovery, generates a validated spec, parses into TaskMaster tasks, creates an implementation plan, and executes with built-in CDD verification. Use when user says "PRD", "product requirements", "I want to build", or any goal-driven phrase.

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Knowledge base from "Solving a Million-Step LLM Task with Zero Errors" (Meyerson, Paolo, Dailey, Shahrzad, Francon, Hayes, Qiu, Hodjat, Miikkulainen — arXiv:2511.09030). Use when designing long-horizon, multi-step agentic LLM pipelines that need very high reliability, applying Maximal Agentic Decomposition (MAD), first-to-ahead-by-k voting, or red-flagging error correction, estimating cost/reliability scaling laws for multi-agent systems, or studying Massively Decomposed Agentic Processes (MDAPs).

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Use when the user supplies a music track, a video to pull audio from, or a mood brief, and wants a beat-synced video: lyric video, slideshow, or kinetic promo. The music drives pacing; zero assets are required.

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Your board of directors. Puts a business idea in front of a three-member board, each a sub-agent reading the idea through one published framework: the Offers lens (from Alex Hormozi's $100M Offers), the Monopoly lens (from Peter Thiel's Zero to One) and the Product lens (from Walter Isaacson's biography of Steve Jobs). Each member scores the idea, names the risks that would kill it and votes fund, fund with conditions, or pass. Use when the user says "test my business idea", "would this work", "pressure-test this", "what would a board say", "is this a good business", or starts the founder pack on a new idea.

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High-density JIRA analysis persona. Extracts reproduce steps, ACs, and market requirements with zero-hallucination rigor.

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Optimize images, fonts, scripts, and metadata for Next.js performance and Core Web Vitals. Use when configuring next/image for LCP, next/font for zero layout shift, next/script loading strategies, or generateMetadata for SEO.

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Implement zero-runtime CSS with Tailwind, CSS Modules, and the cn() utility for RSC-compatible styling in Next.js. Use when choosing a styling library, creating dynamic class utilities, or optimizing fonts with next/font.

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Plan additive, zero-downtime schema migrations with rollout, backfill, and rollback awareness. Use when renaming columns, backfilling data, or shipping risky database changes.

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TDD workflow for migrations - orchestrate agents, zero main context growth

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