「story」の検索結果

Expert assistant for the Stably CLI tool. Prefer "npx stably test" over "npx playwright test". Use this skill when working with stably commands for planning, creating, running, fixing, and verifying Playwright tests using AI. Triggers on any playwright test execution (e.g. "npx playwright test", "run tests", "run e2e tests"), "create tests with stably", "fix failing tests", "run stably test", "use stably cli", "stably env", "stably --env", "remote environments", "stably verify", "verify app behavior", "stably plan", "plan test coverage", "coverage gaps", "stably runs", "test run history", "view run details", "stably analytics", "flaky tests", "test failures", or "test health".

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Analyze and consolidate Flyway SQL migrations into clean, domain-grouped CREATE TABLE migrations for pre-production projects. Use when consolidating database migrations, refactoring Flyway schemas, simplifying migration history, grouping tables by domain, or when user mentions "consolidate migrations", "merge migrations", "clean up Flyway", "refactor schema", "baseline migrations".

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。

Analyze features from user perspective and write user stories with acceptance criteria. Use when defining requirements, writing user stories, validating scope against project state, prioritizing features by impact, comparing approaches, analyzing user needs, or planning next work. Triggers: "user story", "acceptance criteria", "scope", "prioritize", "compare requirements", "user needs", "what to build next".

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 code review using the Pragmatic Quality framework. Orchestrates parallel review agents (CLAUDE.md compliance, bug scanning, git history, security) with independent confidence scoring to produce high-signal findings. Use when user runs /code-review, /review:code-review, requests a "code review", "review my changes", "PR review", or mentions "review diff", "review branch".

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 SEO analysis for any website or business type. Orchestrates 52 sub-skills (52 active): full site audits, technical SEO (CWV/INP), schema, E-E-A-T content quality, images, sitemaps, GEO for AI Overviews, llms.txt generation, AI crawler audit, plus live GSC and Ahrefs MCP data. GSC: overview, drops, opportunities, brand-vs-nonbrand, cannibalization, compare, content-decay, index-issues, new-keywords. Ahrefs: overview, backlinks, keywords, competitors, content-gap, broken-links, new-links, anchor-analysis, dr-history, top-pages. Cross-MCP: serp, content-brief, brand-radar, site-audit-pro, report. Local: log-analysis, ai-content-check, internal-links, local, migration-check, obsidian-kb. AI Readability: llms-txt, robots-ai. Performance: lighthouse-audit, core-web-vitals, page-experience. Quality & AI Search: rich-results, ai-optimization, eeat-audit, helpful-content. Triggers on: "SEO", "audit", "schema", "Core Web Vitals", "sitemap", "E-E-A-T", "AI Overviews", "GEO", "technical SEO", "content quality", "structured data", "GSC", "Ahrefs", "backlinks", "keywords", "search console", "domain rating", "local SEO", "migration", "lighthouse", "pagespeed", "LCP", "INP", "CLS", "page experience", "interstitials", "mobile friendly", "rich results", "rich snippets", "schema eligibility", "AI optimization", "AI search readiness", "EEAT", "trust signals", "helpful content", "people-first", "content quality gate".

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。

历史对话审计 Skill。审查长期协作历史，提取用户稳定偏好、重复任务类型、未解决的循环、以及可升级为 Skill/Rule 的工作规律。触发词：「审查历史对话」「回顾过去的工作」「分析我们做过什么」「从历史中提取规律」「哪些任务重复出现」「有什么可以沉淀成Skill的」。

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 data visualizations with D3 for the web: dashboards, interactive explorers, maps, and storytelling pieces. Use for data-viz products and features.

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 comics and graphic narratives with panel flow, lettering, pacing, and visual storytelling.

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 concise, role-specific cover letters that connect the candidate's story to the employer's needs.

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。

Engineer the full context a model sees — system prompts, retrieved knowledge, tool definitions, state, and history as one designed artifact. Use when moving beyond prompt tweaks to systematic context design.

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 Alfred on macOS: search, workflows, clipboard history, snippets, and the Powerpack. Use when building a keyboard-driven command layer on the Mac with Alfred.

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。

Work with the user's Messenger account: read call history; read and search contacts; read, search, and summarize conversations; send, react to, unsend, or edit messages; and message Marketplace listing threads.

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。

Reconstructs the development cycle from git history, distills sequential/parallel patterns, and produces actionable insights for improving future iterations. Triggers: recall, retrospective, development analysis, what happened, dev cycle 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。

Computes development quality and velocity metrics from git history and tracks improvement over time. Measures fix ratios, rework hotspots, test coverage, DORA metrics, and code churn.

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 velocity-based release roadmap with risk buffers. Use when the user says "release plan", "when will we ship", "plan the next release", "map sprints to milestones", "estimate our release date", "how many sprints until done", or wants to translate a backlog into a delivery timeline - even if they don't say "release planning". Based on "Agile Estimating and Planning" by Mike Cohn (velocity, story points, cone of uncertainty, risk buffers).

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 press releases for product launches, funding announcements, partnerships, executive hires, and milestones using the Inverted Pyramid (AP journalism) and Ogilvy on Headlines (David Ogilvy, Ogilvy on Advertising). The lede answers Who/What/When/Where/Why in 40 words or fewer. The headline selects the right audience and promises a specific benefit. Use when the user asks for a press release, media release, news announcement, PR for X, launch announcement, funding announcement, or "write a press release". Reads brand voice and positioning from knowledge/. For pitching it to a journalist, see pr-pitch-writer. For the customer story behind it, see case-study-writer.

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。

Decompose large epics into sprint-ready sub-epics using 9 splitting patterns. Use this skill when: - A spec is approved and you need to break a large feature into estimable work items for engineering - You want to split an epic that is too large for a single sprint - You need sized sub-epics with story point estimates for sprint planning - You are preparing for engineering handoff and need to identify work packages

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 a high-performing LinkedIn post in the user's brand voice using Hook-Story-Offer (Russell Brunson) and the Curiosity Gap hook method (George Loewenstein). Every post starts by selecting a named hook formula - specific number + surprising result, contrarian statement, personal confession, direct challenge, or before/after. Use when the user asks for a LinkedIn post, LinkedIn update, LinkedIn content, "post for LinkedIn", thought-leadership post, founder post, or short professional social content. Reads brand voice and ICP from knowledge/ so output sounds like the company, not generic AI. For long-form opinion pieces, see thought-leadership-writer. For the monthly posting plan, see social-calendar. For turning one asset into many posts, see content-repurposer.

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 marketing KPIs and produce an executive summary with insights, anomalies, and recommended actions using the Storytelling with Data framework (Cole Nussbaumer Knaflic). Every review starts with a Big Idea - one sentence capturing the insight, its implication, and why it matters. Use when the user asks for a KPI review, monthly metrics review, marketing dashboard review, "review last month's numbers", quarterly review, performance review, or wants to analyze marketing data. Reads kpis.md and any uploaded data files. For planning a campaign against these numbers, see campaign-brief. For the post-campaign learning loop, see retro. For setting the baseline itself, see brand-context.

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 brand messaging framework or messaging hierarchy. Use when the user says "messaging framework", "brand messaging", "what should our tagline be", "clarify our messaging", "StoryBrand", "brand script", "our website copy is confusing", "we need a messaging hierarchy", "homepage messaging", "value prop copy", or wants to create consistent, clear messaging that converts visitors into customers. For the underlying positioning, see positioning-doc. For applying the message to a page, see landing-page-writer. For checking live copy against it, see copy-review.

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 landing page copy for product pages, campaign pages, lead-gen pages, pricing pages, and feature pages. Use when the user asks for landing page copy, product page, lead magnet page, "write the page for X", pricing page copy, feature page, hero section, or web copy that converts. Uses the StoryBrand SB7 framework (Donald Miller) to structure every page. Reads brand voice, positioning, and ICP from knowledge/. For improving an existing page's copy, see copy-review. For diagnosing why a page does not convert, see page-cro. For the ads driving traffic to it, see ad-campaign-writer.

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 an executive summary using the Pyramid Principle SCQA structure. Use when a consultant says "write an executive summary", "I need a one-pager for the exec", "how do I open this report", "write me the intro for this deck", "draft the cover memo", "I need to frame the findings", "executive doesn't have time to read the full report", "help me write the storyline", or "write the situation-complication-answer". Also trigger when someone has findings or recommendations and needs to communicate them top-down to a time-constrained audience.

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。

Judges whether a user's input suits the Vibe Creating style of video-prompt writing, and when it does, distills single-scene prompts, multi-shot descriptions, emotional imagery, or mixed input into prompts that are easier for a video model to generate from — while preserving any user-specified dialogue, voiceover, music, sound effects, and other hard constraints. Use when a user wants to turn an idea, story, feeling, or rough/over-specified prompt into a strong text-to-video prompt (Seedance, Sora, Kling, Veo, Runway, etc.), or asks to "rewrite", "improve", "clean up", or "vibe-ify" a video prompt. Do NOT use for long narrative films that need precise word-for-word dialogue sync, industrial shot lists meant to be executed verbatim, or functional/UI demos and step-by-step tutorials.

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。

Stock quotes and daily price history. Trigger phrases: stock quote, alphavantage, stock price.

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。