1.6万 件 ・ 関連度順
概要と使いどころ
Write an evergreen teaching longform for non-technical readers built from your own real material (systems you run, dated failures, numbers), structured as a stitched lesson that can live as a blog post, a GitHub guide hub and a newsletter issue. Use when turning lived engineering experience into a durable how-to. Triggers: /guide, make a guide, build a lesson, evergreen guide.
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 self-contained handoff document so another session, person or machine continues the work without this session's context: decisions and why, what is done and tested, exact paths and values, open blockers, boundaries, and an explicit continue-from-here step. Lands in a synced folder with a short seed prompt. Triggers: "/handoff", "prepare a handoff", "hand this 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。
- Build an entity-relationship link-analysis graph of an investigation — nodes, typed edges carrying source and confidence, aliases, and temporal validity — to expose shared infrastructure, bridging nodes and the real principal behind a [человек]. Use when an investigation has outgrown a list and needs a graph, or when asked how a set of people, companies and domains connect
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。
Pull Anton's Grok (grok.com / SuperGrok) conversation history into the Obsidian vault from an official Grok data export (prod-grok-backend.json). Trigger on “/grok-sync“, “синкани grok“, “подтяни grok“, “забери чаты из grok“, “обнови grok“, “sync grok“, “что нового в grok в волт“
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。
- Trace cryptocurrency addresses and transactions on public blockchains using block explorers including Etherscan, Blockchair, mempool.space and Blockscout. Use when following a Bitcoin or Ethereum wallet, investigating where a ransom or scam payment went, or checking an address against sanctions listings
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 people-search aggregators and primary public records to find addresses, phone numbers, relatives, age and background on a person, and to audit and remove your own exposure. Use when running a people search or reverse address lookup, tracing a debtor or missing person, building a subject's address history, or removing yourself from broker sites
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 the comments under published posts in one pass: list unanswered ones, reply only where a reply is genuinely expected (at most three per pass), name top commenters as warm-DM candidates, and prepare reply drafts on approval. Triggers: "/comments", "unanswered comments", "who is commenting".
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。
Quality review of a change: is the logic right, is it safe, does it hold under real load, is risky code tested, is it fast enough, and is every line needed. Reads the connected code, not only the diff. Each finding is explained in plain English. Use for "review this", "code review", "review the last commit", "review my PR", "is this over-engineered", /ponytail-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。
Quality audit of a whole repo: bugs, security holes, what breaks under real load, risky code without tests, slow paths, and what to delete, merge or split. Ranked, each finding explained in plain English. One-shot report, changes nothing. Use for "audit this codebase", "review the whole repo", "find bloat", "what can I delete", /ponytail-audit.
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 native Worktrunk commands for explicit Git worktree operations when requested. Distinguish repository selection from worktree selection, and inspect command help before changing configuration or hooks.
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。
Test-driven development with red-green-refactor and behavior-focused tests. Use when the user explicitly wants test-first work, a regression test before a fix, or integration tests that drive a feature through a public interface.
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。
Explicit-only interview loop for stress-testing a plan, decision, or idea. Use only when the user asks to grill, interrogate, interview, or stress-test their thinking before 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。
Review a product requirement, PRD, brief, or meeting note before design or development; expose missing decisions, contradictions, edge cases, dependencies, and validation gaps without inventing business rules.
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。
显式暂停、恢复或取消一个受治理 Run 的 exact Mission Controller。仅当用户使用精确命令 `$flight-control-run` 并依次提供 run_id、controller_id、expected_controller_version 与 PAUSE、RESUME 或 CANCEL 时使用；不能把自然语言意图、Lead credential、Controller 的 allowed_next_actions 或历史授权当作本次用户授权。
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。
yt-dlpを使用した動画ダウンロードの専門スキル。YouTube、ニコニコ動画、Twitter/X、TikTok等1000以上のサイトから動画・音声・字幕をダウンロード。フォーマット選択、プレイリスト処理、メタデータ抽出を効率的に支援。Use when downloading videos, extracting audio, getting subtitles, or fetching metadata from YouTube and other video sites.
This skill should be used when developing code using Test-Driven Development (TDD) methodology. Use this skill when the user wants to write tests first before implementation, needs guidance on the red-green-refactor cycle, or explicitly requests TDD-style development. Triggers include requests like "develop this feature using TDD", "write tests first", "help me with test-driven development", or "implement this following TDD practices". The skill guides through writing failing tests, implementing minimal code to pass, and refactoring while maintaining test coverage.
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。
This skill should be used when creating UAT (User Acceptance Testing) test cases in Excel format for Salesforce CRM projects. It generates standardized test case documents with summary sheets and detailed test case lists, following a specific format structure with test case ID, priority, category, scenario, preconditions, test steps, expected results, and acceptance criteria.
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。
Unified document optimization skill that chains docling-converter, imagemagick-expert, and markdown-to-pdf. Automatically detects input format, applies appropriate conversion pipeline, optimizes embedded images, and produces web/print-ready output with configurable quality presets. Use when converting documents through multi-step pipelines, optimizing PDF images, creating print-ready documents from various sources, or batch processing documents with image optimization.
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。
PCI DSS 4.0.1 compliance audit support skill. Provides expert guidance for Cardholder Data Environment (CDE) scoping, gap analysis, audit preparation, SAQ completion support, and remediation planning. Includes SOC 2 mapping for combined audit efficiency. Use when preparing for PCI DSS audits, conducting gap analysis, creating remediation plans, or answering SAQ questionnaires for payment card compliance.
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。
This skill should be used when generating Salesforce CLI commands for tasks like authenticating to orgs, querying data with SOQL, retrieving metadata (profiles, permission sets, security settings), deploying configuration changes, or automating security audits. Use when the user describes what they want to accomplish with Salesforce and needs the specific CLI command syntax.
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。
SoX（Sound eXchange）を使用した音声処理の専門スキル。音声ファイルの変換、編集、エフェクト適用を効率的に支援。フォーマット変換（WAV/MP3/FLAC/OGG/AIFF等）、音声編集（トリム、結合、分割、フェード）、エフェクト（ノイズ除去、ノーマライズ、EQ、リバーブ、コンプレッサー）、分析（soxi、stat、spectrogram）など幅広い操作をカバー。Use when converting audio formats, applying audio effects, trimming/splitting audio files, normalizing volume, removing noise, generating spectrograms, or processing audio for podcasts/music production.
Render CLIを使用したクラウドサービス管理の専門スキル。デプロイ、ログ監視、SSH接続、PostgreSQL接続、サービス管理などRenderプラットフォームのCLI操作を効率的に支援。定期的に公式ドキュメントをチェックして最新情報を取得。Use when managing Render services via CLI, deploying applications, viewing logs, connecting to databases, or automating cloud infrastructure tasks.
DuckDBを使用した大規模データ分析の専門スキル。DuckDBのアーキテクチャ、SQL構文、パフォーマンス最適化、各種ファイル形式（CSV、Parquet、JSON等）の効率的な読み込み・書き出しを熟知。メモリ効率の良い分析、複雑なクエリの最適化、データパイプライン構築を支援。Use when analyzing large datasets, querying CSV/Parquet/JSON files directly, building data pipelines, or optimizing analytical queries with DuckDB.
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。