「product」の検索結果

Front-door router voor het werken aan een regelrecht-dossier. Gebruik dit aan het begin van een dossier, of bij twijfel over waar te beginnen — het triageert de situatie en routeert naar de juiste skill (regelrecht-stelselanalyse voor desk-review/corpus-completion, regelrecht-audit-products voor live expert-validatie) en de juiste volgorde. Bevat het routeringsprincipe: feitelijke defecten routeren naar de desk, oordeels-/praktijkvragen naar de workshop. Dossier-agnostisch.

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。

Create high-converting, visually distinctive landing pages. Use when building marketing pages, product launches, SaaS homepages, or any single-page conversion-focused website. Guides section-by-section composition with anti-AI-slop principles.

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 implementing or improving a user-facing app workflow. Guides product-grade UX, frontend, backend/API behavior, AI/provider or long-running task states, tests, and end-to-end verification from rough requirements to a shippable feature.

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 designing, implementing, reviewing, or improving web and mobile UI/UX. Consults searchable design data for product patterns, styles, palettes, typography, accessibility, charts, icons, and common frontend stacks.

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。

Diagnoses and fixes issues in Atlassian Forge apps. Use this skill whenever a Forge app has errors, crashes, shows blank UI, fails to deploy, doesn't appear after installation, has permission issues, or produces unexpected output. Trigger on any mention of forge logs, forge deploy errors, resolver errors, blank panels, missing scopes, Custom UI not rendering, production vs dev discrepancies, or any Jira/Confluence app that "stopped working". Also trigger when the user asks to debug, troubleshoot, investigate, or fix a Forge app issue — even if they haven't used the word "Forge" but describe a Jira panel or Confluence macro acting up.

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。

Conduct structured root cause analysis using Ishikawa (Fishbone), 5 Whys, and Pareto methods. Suitable for production incidents, quality defects, customer complaints, and recurring operational problems. Use when problems recur or when initial fixes do not resolve the issue. Do not use for one-time, obvious fixes or strategic decision-making.

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 production-ready analytical SQL queries using CTEs, window functions, aggregations, and data transformations. Translates business questions into well-documented, performant queries. Use when writing reporting queries, building data pipelines, or answering ad-hoc business questions with SQL.

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。

Facilitate sprint planning by organizing backlog items, estimating effort, balancing capacity, identifying dependencies, and producing a sprint commitment summary. Use when teams need structured sprint planning output. Do not use for strategic roadmap planning, annual budgeting, or product vision work.

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 competitive intelligence briefs following the CI cycle — Plan, Collect, Analyze, Disseminate. Profile competitors, create feature comparison matrices, analyze pricing, build positioning maps, and identify win/loss patterns. Use when preparing for product launches, sales enablement, or strategic reviews.

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。

Draft crisis communication packages including holding statements, stakeholder updates, Q&A documents, and internal briefs. Follows ICS (Incident Command System) communication principles. Use during PR crises, data breaches, product recalls, or any event requiring rapid coordinated messaging.

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 a Go-to-Market (GTM) plan for new product launches, market entries, or feature rollouts. Covers market sizing (TAM/SAM/SOM), positioning, messaging, channel strategy, pricing approach, and launch timeline. Use when preparing to bring something new to market. Do not use for ongoing marketing operations or campaign execution.

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。

Write blameless incident postmortems following Google SRE methodology. Covers timeline reconstruction, root cause analysis (5 Whys), impact assessment, and action items with owners. Use after production incidents, outages, or significant bugs to prevent recurrence.

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。

Design rigorous A/B test plans with hypothesis, sample size calculation, Minimum Detectable Effect (MDE), randomization strategy, and decision rules. Includes guardrail metrics and rollout playbook. Use when planning product experiments, conversion optimization, or data-driven feature decisions.

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。

Configure, diagnose, or optimize the persistent OpenClaw fleet, native CLI routing, skill loading, run evidence, and context recovery. Use for orchestration operations; product implementation uses its own relevant skills.

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。

Review what Prisma Next migrations will run on merge or deploy, render the migration graph, resolve concurrent / diamond-convergence conflicts, and configure environment refs for CI. Use for "what migrations are going to run", "what runs on deploy", merge conflict, diamond convergence, concurrent migrations, migration status, ref management, staging, production, MIGRATION.DIVERGED, MIGRATION.NO_MARKER, MIGRATION.MARKER_NOT_IN_HISTORY, prisma migrate status, prisma migrate diff, prisma migrate resolve.

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Create a Flutter feature Product Requirements Document through a structured clarify-plan-draft workflow. Outputs a PRD using the repository template under `.claude/tasks/<feature-name>/prd.md`. Use when the user says "create a PRD", "write requirements", "define the feature", "start a feature spec", or wants to specify a feature before techspec/tasks/start-job.

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。

23-category product-building OS. CF Workers+Hono, React 19+Vite / Angular 22+Spartan, D1, Drizzle, Clerk, Square/Stripe. 149 reference docs, 28 agents.

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MANDATORY deploy after every code change. Typecheck → deploy → purge CDN → E2E on production → visual verify → fix-forward loop. Workers Builds native CI/CD, D1 Time Travel PIT recovery, D1→R2 long-term backups, wrangler rollback, wrangler secrets management, structured observability, cross-browser smoke tests, rollback procedures, and GitHub auto-configuration.

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Full instrumentation from day one. PostHog consolidates product analytics + feature flags + error tracking (one platform, one bill). GA4 via GTM (14-step automation, custom dimensions over events, server-side tagging). Sentry (deep error tracking + performance). Stripe (webhook-first with idempotent processing). Listmonk on Coolify (newsletters via Amazon SES SMTP relay). PLG 7-layer framework. Programmatic SEO (5 page types). Incident auto-remediation via Sentry→Inngest pipeline. AI search (GEO) awareness. Local business conversions (phone_click, direction_click, form_submit, booking_click) with CRO patterns for both SaaS and local.

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。

Establish project thesis before first code. Infer product type from domain/folder/README. Identify users, business model, pSEO strategy, AI-native dev approach. Maintain PROJECT_BRIEF.md as source of truth.

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 writing or reviewing request handlers, RPCs, or background jobs for production; adding tracing, metrics, or structured-log calls; or making diagnosability decisions

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。

Husky v9 setup, lint-staged v16 patterns, commitlint with conventional commits, CI/production handling, monorepo setup, migration from v8

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。

Docker containerization patterns for Node.js/TypeScript development and production

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。

LLM observability with Langfuse — OpenTelemetry-based tracing, evaluations, prompt management, datasets, and production best practices

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。