「end-to-end」の検索結果

End-to-end vendor procurement workflow orchestrating RFQ creation, email sending, vendor response tracking, and client-facing estimate generation. Use this skill when managing the full quote-request-to-client-estimate pipeline, coordinating between vendor-rfq-creator and vendor-estimate-creator skills with email automation and status tracking.

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 data science workflow skill for analyzing tabular and time series data. Use when conducting exploratory data analysis, building predictive models, performing feature engineering, or generating data-driven insights. Supports end-to-end analysis from data understanding through model deployment, following industry best practices for regression, classification, time series forecasting, and statistical analysis.

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 this skill for critical code review that focuses on whether the code actually works correctly and achieves the expected results - not just whether it matches a design document. This skill assumes designs can be wrong, finds bugs the design didn't anticipate, and verifies end-to-end correctness. Triggers include "critical code review", "deep code review", "verify this implementation works", "find bugs in this code", or reviewing implementation against requirements. NOTE - Security review is OUT OF SCOPE; use a dedicated security review skill for that purpose.

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。

Orchestrates multi-step tasks autonomously using a 3-tier agent hierarchy (Director/Manager/Worker). Use when user says "run this end-to-end", "handle everything", "execute all tasks", or needs parallel task execution with queuing, course correction, and session resume. Provides FIFO task queue, escalation policy, git worktree isolation, and context persistence across agent sessions.

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。

End-to-end data pipeline for empirical research: fetch economic data from APIs (FRED, World Bank, IMF, BLS, OECD, Yahoo Finance), clean and transform raw data, construct strategy-specific variables, and validate panel structure. Use when asked to fetch data, download data, clean data, merge datasets, prepare analysis-ready data.

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。

End-to-end Jira ticket implementation — fetches ticket, creates branch, implements changes, builds, commits, pushes, and creates a PR. Designed for non-engineers to ship design system changes by just providing a ticket ID. Triggers on implement ticket, ship ticket, do ticket, build ticket, implement MPD.

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。

- End-to-end workflow to establish where and when a photo or video was captured and whether it is authentic — evidentiary handling, metadata extraction, reverse image search for provenance, visual geolocation, chronolocation from shadows, and manipulation… Use when asked to verify where an image was taken, confirm or refute a claimed location or date, or authenticate media before relying on it

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。

- End-to-end passive reconnaissance for a domain, website or IP — builds an asset inventory covering registration, DNS, subdomains, infrastructure, tech stack, history and ownership without sending a single packet to the target. Use when asked to research or profile a domain or website, map what an organisation runs, or investigate a suspicious site without alerting its operator

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 for end-to-end website or interface design, redesign, implementation, or major visual polish; orchestrates discovery, references, art direction, systems, build, critique, QA, and release gates.

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。

Standard operating procedure for an auditable, headless MIKE+ workflow via the mike-plus MCP server — how to plan, copy, run, QA-gate, compare, plot, audit, and safely stop. Use FIRST whenever an agent is handed a MIKE+ model (.sqlite) or result (.res1d) plus a plain-language goal; it picks the operating mode and tells the agent which mike-* skill to open next and in what order.

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。

End-to-end playbook for creating a new NV oOS Pro toolkit under addons/pro/includes/tools/<toolkit> — folder layout, service layer, tool class conventions (canonical envelope, two-gate sanitisation, capability flags), ALL seven registration surfaces (central registry, admin Tools section, settings status map, both WP-CLI commands, schedule presets, workflow presets, SA Toolkit Manager), fixture/oracle testing with a standalone smoke harness, and the phpcs gotcha checklist. Use when asked to build a new Pro toolkit, add a toolkit to the plugin, scaffold toolkit tools, register toolkit presets/toggles, or debug why a new toolkit's tools or presets don't appear. First case study: food-beverage (F&B Management, 21 tools, 2026-10-08, 20/20 Check-totals oracle verified). Complements mcp-ai-wpoos-toolkit-audit (hardening existing toolkits) and mcp-ai-wpoos-test-suite (repair).

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。

Provision a client-brand AI assistant in the NV oOS Pro Toolkit — brand intake, system-prompt authoring, tool selection, an idempotent provisioning script, credentials, and end-to-end verification. Use when creating a brand manager or social media assistant for a client brand (e.g. Aerlinn), onboarding a new brand into the Design Stack, replicating an existing brand assistant, or updating a brand assistant's prompt, tools, or campaign copy.

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。

End-to-end media pipeline automation — from AI generation through optimization to social publishing. Covers workflow design, WordPress integration, Redis job queuing, batch processing, multi-site pipelines, and orchestration. MCP bridge tools are the primary interface for individual operations; the Design Stack media worker handles batch and advanced processing. Use when you need to automate image generation→optimization→publishing chains, set up cross-site media sync, design batch processing pipelines, or orchestrate multi-step media workflows triggered by post publish or cron.

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。

Control a headless browser to navigate URLs, click elements, fill forms, extract content from JavaScript-rendered pages, take screenshots, and automate end-to-end web workflows.

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 end-to-end application performance with profiling, observability, and backend/frontend tuning. Use when coordinating performance optimization across the stack.

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。

End-to-end Android APK red-team pipeline

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。

Automated end-to-end UI testing and verification on an Android Emulator using ADB.

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 coding task should be driven end-to-end from issue intake through implementation, review, deployment, and acceptance verification with minimal human re-intervention.

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。

End-to-end SEO operations for B2B SaaS organic visibility. Use this skill when you need keyword research, technical SEO audits, content optimization, link building strategy, international expansion, AI/AEO optimization, schema markup, Core Web Vitals improvements, and organic traffic growth planning. Also triggers on: SEO, keyword research, technical SEO, link building, content optimization, international SEO, hreflang, x-default, multilingual site, translated pages not ranking, our German site gets no traffic, language switcher, auto-redirect by country, machine translation SEO, content parity, ccTLD vs subfolder, AI search, AEO, GEO, Core Web Vitals, schema markup, organic traffic, G2 listing, Capterra, TrustRadius, review-platform category page, best software roundup, listicle placement, directory submissions, do we need a Google Business Profile in [country], local SEO with no office, Google Business Profile eligibility, virtual office address SEO, coworking address business profile, business profile suspended, NAP consistency, local citations for SaaS, LocalBusiness schema.

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。

Minimal always-on sample skill to guarantee an end-to-end review experience.

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。

Implement comprehensive testing strategies using Jest, Vitest, and Testing Library for unit tests, integration tests, and end-to-end testing with mocking, fixtures, and test-driven development. Use when writing JavaScript/TypeScript tests, setting up test infrastructure, or implementing TDD/BDD workflows.

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。

Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows.

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。

Master end-to-end testing with Playwright and Cypress to build reliable test suites that catch bugs, improve confidence, and enable fast deployment. Use when implementing E2E tests, debugging flaky tests, or establishing testing standards.

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。

Orchestrate end-to-end backend feature development from requirements to deployment. Use when coordinating multi-phase feature delivery across teams and services.

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。