「eal」の検索結果

Coach German writing and conversation with minimal corrections, persistent root-cause mistake tracking (FehlerDNA), mistake-based spaced repetition with a new sentence every time, roleplay whose words return in spaced reviews, continuing preparation for real-life goals across sessions, and an honest progress profile. Use for German correction, personalized review, vocabulary, progress, roleplay, or preparation for an interview, presentation, appointment, or other concrete event; do not use for translation-only requests without learning or feedback.

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。

This skill should be used when analyzing bug ticket data to identify quality trends, assess software quality status, and provide improvement recommendations. Use when a user provides bug lists (CSV, Excel, JSON, or Markdown format) and needs comprehensive quality analysis from a QA manager perspective. Generates statistical analysis, identifies quality hotspots, provides actionable recommendations, and produces professional Markdown reports suitable for project managers and executive leadership. Ideal for IT system development, migration, and implementation projects.

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。

Office Scripts (Excel Online / Microsoft 365) development expert skill. Covers platform limitations, ExcelScript API patterns, testing strategy (lib + Vitest), and 13 real-world bug patterns discovered during production development. Trigger words: Office Scripts, ExcelScript, Excel Online, Office Script development, TypeScript Excel, Excel automation, CalculateRequirements, ImportCsvData

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。

Professional business analysis skill aligned with BABOK® Guide v3 standards. Use this skill when you need to elicit and document requirements, analyze business processes, conduct stakeholder analysis, develop business cases, perform gap analysis, or create business requirements documents (BRD). Ideal for requirements gathering, process mapping (BPMN), financial analysis (ROI, NPV), stakeholder engagement, and solution evaluation. Triggers: "gather requirements", "create business case", "analyze process", "stakeholder analysis", "gap analysis", "BRD", "functional requirements", or requests involving business analysis tasks.

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。

Android device offensive security, forensic extraction, and mobile app exploitation. Use this whenever the user needs to: break into or bypass the lock screen of an Android phone, extract data from a seized Android device for evidence, analyze or reverse-engineer an APK to find vulnerabilities, intercept communications on an Android device, exploit Android apps via deeplinks, steal crypto wallets or app data, set up rogue WiFi to target a phone, or plan any mobile device investigation or penetration test. Also trigger when the user mentions Android forensics, mobile pentesting, law enforcement phone extraction, device exploitation, WhatsApp or Telegram extraction from a phone, Android app reversing, CVE research for Android, or needing a chain of custody for mobile evidence. Even if the user describes the scenario casually or in another language, if they need to gain access to or pull data from an Android phone, use this skill.

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。

インフラメトリクスの定期調査を体系的に実施し、サービスの健全性を評価する。2層アプローチで11カテゴリのメトリクスを確認し、構造化レポートを作成する。定期的なサービス監視、障害予兆の検出、パフォーマンス評価に使用する。Do NOT use for 個別インシデントの根本原因分析（incident-rcaを使用すること）。

Typosquat and malicious-package detection across installed dependencies (or a single prospective addition) — cross-checks AI-malware family intelligence, package-name similarity to known popular packages, low maintainer-health signals. Use when auditing a freshly-onboarded repo, vetting a single suspicious package, gating CI on supply-chain risk, or investigating an incident.

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。

Answer whether a specific advisory reaches anything in THIS repository — which manifest declares the package, at what version, whether the version is in range, and whether the vulnerable code is reachable. Use when someone asks "does CVE-… affect us", when triaging an advisory against a real codebase, or before spending effort on a fix.

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。

Verify a tested web agent's real behavior from its recorded Pi or Codex session and selected screenshots before scoring. The judge prompt provides absolute artifact paths; use targeted queries to compare actual outputs, errors, and the final answer with the recorded behavior, then return only the verdict JSON. Only for ego-bench judging—never to drive a browser or rerun the agent.

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。

Compare standardized metrics across multiple ego-benchmark-harness runs by recalculating them from tasks.jsonl and session JSONL, never from HTML reports. Covers overall aggregates (success rate/average score), Odysseys per-rubric pass rates, duration distributions (avg/p50/p90/max), turns/tools/cost, error and exception counts, per-task success matrices, helper distributions, and the share of DOM operations. Use whenever users ask to compare data or metrics across runs, calculate aggregate/Odysseys/duration/turn/error/helper metrics, inspect differences among runs, or compare multiple rwb/real-world-bench runs. Use pi-session-analyzer instead for deep forensic analysis of why an individual task was slow or failed.

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。

Architecture design and governance protocol for system structure, boundaries, contracts, APIs, schemas, migrations, rewrites, and long-lived codebase health. Use when designing or reviewing architecture, planning structural refactors or migrations, governing tech debt, or containing rewrite risk. Keeps the load-bearing spine small, owned, checked, and deletable over time.

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。

ego-browser (ego-lite) is a Chromium-based browser that gives AI agents a CLI-accessible Node.js runtime for driving a real browser. Use this skill whenever the user needs to interact with a website opening pages, filling forms, clicking buttons, taking screenshots, extracting page data, testing web apps, logging into sites, automating browser operations, or any other browser automation task. Triggers include requests to "open a website", "visit a URL", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "extract content from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also used for exploratory testing, dogfooding, QA, bug hunting, or reviewing app quality. Prefer ego-browser over any built-in browser automation, web fetch, or other web tools.

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 openFrameworks prototypes into the lab — real C++ (ofApp.h, ofApp.cpp, main.cpp) that builds into an app with the projectGenerator and make. Use for native/desktop sketches, performance-sensitive work, OpenGL, audio input, sensors, anything that has to be an application rather than a page.

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 implementing custom providers in AI SDK for Python.

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 building serverless AI SDK for Python endpoints, handling hook approvals, deferring hooks, or resuming runs across requests.

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 adding durable execution to AI SDK for Python, building durable agent loops, or serializing messages across workflow steps.

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 building custom agent loops. Modify tool dispatch, history management, hooks, control flow.

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。

Manages shadcn components and projects — adding, searching, fixing, debugging, styling, and composing UI, including chat interfaces. Provides project context, component docs, and usage examples. Applies when working with shadcn/ui, component registries, presets, --preset codes, or any project with a components.json file. Also triggers for "shadcn init", "create an app with --preset", or "switch to --preset".

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 connecting AI SDK for Python streams to AI SDK UI useChat clients.

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 the subagent-as-a-tool pattern.

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 AI SDK for Python async-generator tools, streaming tool output, subagent tools, PartialToolCallResult events, and custom tool aggregation.

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 AI SDK for Python basics. Configure a model, make messages, stream, declare tools, build a basic agent.

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。