執筆・創作のスキル

APSA style checker for Quarto (.qmd) files. Checks numbers, capitalization, abbreviations, italics, in-text citations, titles of works, neutral and unbiased language, and APSA-specific terminology against the APSA Style Manual for Political Science (2018, updated 2023). Produces a structured markdown report organized by document section — never modifies the source file. Use when asked to check APSA style, fix citations, review capitalization, check number formatting, or flag biased language in a .qmd document. For grammar, spelling, and punctuation, use the proofread skill instead. Supports an optional output-file argument and an optional @sec-label argument to restrict checking to one section.

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。

YMM4でゆっくり音声を使ったストーリー・物語動画を作るスキル。 霊夢・魔理沙・その他キャラクターが登場する短編小説・ドラマ・ファンタジー・ 感動系・ホラー・ミステリー等の物語を自動生成する。 以下の場面で必ず使うこと： - 「ゆっくりでストーリーを作って」「物語動画にして」「短編ドラマを作って」 - 「感動系のゆっくりを作って」「ホラーストーリーにして」「ミステリーを作って」 - 「霊夢と魔理沙が冒険する話」「ファンタジー系の動画」 - 「台本から動画を作って」「小説をゆっくり動画にして」 - 複数キャラが登場する物語・ドラマ・朗読系の動画全般

"Weekly engineering retrospective. Analyzes commit history, work patterns, and code quality metrics with persistent history and trend tracking. Team-aware with per-person contributions, praise, and growth areas. Use when asked for weekly retro, what shipped this week, or engineering retrospective.".

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"Apply narrative research methods to understand human experience through stories, analyzing narrative structure, temporality, and meaning-making in life stories and oral histories. Use this skill when the user needs to analyze how people construct meaning through storytelling, examine narrative structure and plot, conduct life story or oral history research, or when they ask 'how do stories shape identity', 'how do I analyze a life narrative', or 'what does this story reveal about 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。

Draft blog posts, social media, email newsletters, landing pages, press releases, and case studies with channel-specific formatting and SEO recommendations. Use when writing any marketing content, when you need headline or subject line options, or when adapting a message for a specific platform, audience, and brand voice.

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 marketing content across channels — blog posts, social media, email newsletters, landing pages, press releases, and case studies. Use when writing any marketing content, when you need channel-specific formatting, SEO-optimized copy, headline options, or calls to action.

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。

Chọn đúng biểu đồ, kể chuyện với số liệu, và tránh误导 — dựa trên nguyên tắc từ Kieran Healy (Data Visualization, Princeton 2019) và taxonomy từ AntV chart-visualization-skills. Dùng khi cần quyết định loại chart, trình bày insight cho stakeholder, hoặc kiểm tra xem figure có gây hiểu lầm không. Để vẽ Python thực tế, chuyển sang matplotlib / seaborn / scientific-visualization.

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 user stories from feature descriptions with interactive Q&A and automated validation

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。

Validate user stories against INVEST criteria and suggest improvements

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 story dependencies, detect issues, and generate visual dependency graphs

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。

Plan sprints with capacity management, dependency checking, and priority-based story selection

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。

Phase 0 validation gate — problem framing, competitive analysis, feasibility, and a go/no-go checkpoint before committing to a feature. Use when evaluating whether an idea is worth building, before /story or /design. Trigger on "is this worth building", "validate this idea", "discovery", "should we build".

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。

Generate CHANGELOG entries following conventional commits format with semantic versioning. Use when finalizing features to maintain proper change history.

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 feature idea into INVEST-compliant user stories, epics, PRPs/PRDs, and sprint plans. Use when breaking down a feature for implementation or planning a sprint. Trigger on "write user stories", "break this into stories", "create a PRP", "plan the sprint", "story".

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。

Validate user stories — INVEST scoring, story-to-test coverage mapping, PRP completeness, and development-readiness assessment. Use after writing stories and before starting implementation. Trigger on "validate the stories", "are these stories ready", "INVEST check", "story coverage", "is this ready to build".

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。

Activeer bij het samenstellen van NLDD Storybook web components tot pagina's en layouts — beschrijft de verplichte component-hiërarchie, nesting-regels en beschikbare layout-patronen

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 exploring, continuing, or accepting a deep-learning or computer-science research idea. Converts claims into pilot-first experiment matrices covering diagnostics, failure analysis, authorized execution, evaluation, and paper-story viability.

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 budget-versus-actual or forecast-versus-actual performance and turn finance data into a management-ready narrative using variance logic, drivers, cash impact, and forward actions. Use when finance, FP&A, or business leaders need commentary, management accounts, or performance explanation. Do not use for bookkeeping entries, tax filing preparation, or legal accounting sign-off.

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 business data, KPI movement, or experiment results into a clear narrative using the what-so what-now what structure, audience calibration, and action-oriented insight. Use when leaders need a data-backed brief, dashboard storyline, or metric interpretation. Do not use for raw statistical modeling with no communication deliverable.

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。

Deep OSINT reconnaissance using the MITRE ATT&CK Reconnaissance framework. Email harvesting with SMTP verification, subdomain takeover detection, certificate transparency mining, Shodan/Censys intelligence, Wayback Machine historical analysis, social media profiling, cloud storage enumeration, document metadata extraction, DNS history, credential leak checks, and passive infrastructure mapping. Uses theHarvester, amass, dnsrecon, fierce, dnstwist, dmitry, whatweb, wafw00f, exiftool, metagoofil, smtp-user-enum, swaks, waybackurls, subfinder, and crt.sh. Pure reconnaissance — no active exploitation. Produces: confidence-scored findings, infrastructure diagram, employee roster, email pattern confirmation, subdomain takeover candidates. Chains into /pentester for active testing.

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 the user wants to extract reusable offensive security knowledge from any source and generate a SKILL.md file. Trigger on: "distill this", "extract skill from", "turn this into a skill", "generate skill from", "convert this report/blog/book/walkthrough into a skill", or when the user pastes raw security content (bug report, pentest report, CTF writeup, blog post, ezine, book chapter) and wants it transformed into structured hunting 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。

Storybook patterns - CSF 3.0, args, controls, autodocs, play functions, interaction testing, visual testing, addons configuration

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。

Generate a weekly changelog entry from git history, filtering operational noise and producing editorial summary, field notes, statistics, and a bounded commit manifest. Stops for review unless commit was explicitly requested.

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 the retained annotation candidate queue and curate per-coin editorial history. Use weekly during active event periods, monthly otherwise, or on queue-health warnings; this does not restore the retired live chart overlay.

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。