「ak sk」の検索結果

Disk imaj forensics — The Sleuth Kit (TSK), Autopsy, deleted file recovery, MFT/inode analizi, slack space, EWF/RAW imajlar

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。

The default code-driven browser path for interactive browsing work: drives any browser from code with token-efficient a11y snapshots (57% smaller via compactSnapshot), ref-based clicks, coordinate control (CUA), viewport pinning, CAPTCHA solving (reCAPTCHA, Turnstile, hCaptcha, slider, OCR), Chrome MV3 APIs (tabs/bookmarks/history/downloads/topSites), network snoop (read API JSON instead of DOM), flight-recorder trace (jsonl + HAR + screenshots), OOPIF-aware snapshots, dialog policy, human handoff for login/OTP, device emulation, request routes, stealth via CloakBrowser as the default owned engine with zero exposed CDP ports, and an attached engine that drives the user's own signed-in browser through BrowserSkill (connectBrowserSkill, bskSnapshot, one-click onboarding via bskOnboard). MUST USE for interactive browser work: scraping, blocked/WAF/JS-rendered pages, logins, the user's logged-in sites and open tabs, extension popups, form filling, screenshots, web QA, CAPTCHAs. The ulw-research browsing lane runs on ultimate-browsing, not 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。

Legal-contract review desk (Busabase App-in-Skill) for NDAs, MSAs, DPAs, and SOWs. Use when the user invokes $kelly-legal-contracts or /kelly-legal-contracts, mentions legal, 法务, contract review, 合同审阅, NDA, MSA, DPA, SOW, redlines, clause playbook, legal intake, issue list, or wants a Busabase-backed review desk where a human legal reviewer approves, revises, or blocks agent-prepared contract issues.

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。

Legal casebase App-in-Skill (Busabase-backed) intake and anonymization QA desk for law-firm judgment and award documents. Use when the user invokes $kelly-legal-casebase-ingest, mentions internal case database, 智能案例库, 裁判文书入库, 脱敏, 结构化, 分类标注, 案例审核, 质量验收, or wants a Busabase-backed desk where reviewers approve, revise, or block agent-prepared case records before they become searchable knowledge assets.

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。

Monitor and analyze ransomware group data leak sites (DLS) to track victim postings, extract threat intelligence on group tactics, and assess sector-specific ransomware risk for proactive defense.

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。

Converts Claude Code skills to Gemini CLI extensions and vice versa. Use when the user wants to make a skill cross-platform compatible, port a skill between platforms, or create a universal extension that works on both Claude Code and Gemini CLI.

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。

Builds CARLA on Unreal Engine 5.8 from the ue58-dev branch using its CMake build system — configure a preset, then build the carla-unreal / carla-unreal-editor / carla-python-api-install / launch targets — with ROS 2, DLSS, RSS and cook-scope options, and the engine-side build of the CarlaUnreal UE 5.8 fork. There is no Makefile and no Util/BuildTools in this tree, so every UE4 `make` recipe is invalid here. Use when the user asks to "build CARLA UE5", "build ue58-dev", "compile CARLA with cmake", "rebuild the Python API", or hits a CMake configure or target failure.

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 this skill any time a .pptx or .potx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations as PowerPoint (.pptx) files; reading, parsing, or extracting text from any .pptx or .potx file (even if the extracted content will be used elsewhere, like in an email, summary, or creating a different type of slide deck); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates (.potx), layouts, speaker notes, or comments. Trigger whenever the user asks for a PowerPoint or .pptx file, or references a .pptx or .potx filename, regardless of what they plan to do with the content afterward. However, when the user asks for a deck, slides, a slide deck, or a presentation without naming a file format, default to using a dedicated slide-deck artifact type or a separate slides skill if this session offers one; otherwise, 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。

Create any visual design using Adobe Express templates — including flyers, posters, banners, social media posts (Instagram stories, Facebook posts, LinkedIn graphics), business cards, invitations, greeting cards, resumes, cover letters, brochures, newsletters, certificates, presentations, YouTube thumbnails, email headers, logos, menus, labels, and more. Use this skill whenever the user wants to make, design, create, or build any visual — even if they just say "make me a flyer", "design a poster", "I need something for Instagram", "create an event invite", "make a business card", or any similar request. Also handles requests to find or browse templates, edit text/copy, change background colors, or animate a design. Access: 🔐 Signed-In required | Gen AI: ❌

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 an Agent SKILL.md fallback for an existing find-XXXX finder that relies on a fragile discovery foundation — above all LLM_DECOMPILE (patterns C/D/E), which matches the decompiled shape of a predecessor function against a stored reference and breaks when a symbol is inlined or de-inlined in a way the reference does not cover. The generated fallback coexists with the preprocessor and runs only when it returns failure, recovering every target robustly by decompiling the predecessor and following the inline/de-inline boundary with semantic anchors. Use when a finder broke on a game update, or you want to durably backstop one before it does. The recipe generalizes to any finder foundation. Triggers: create agent skill fallback, add SKILL.md fallback, robust fallback for finder, backstop LLM_DECOMPILE finder, final guarantee 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。

Use this skill to get context about Fabric Lakehouse and its features for software systems and AI-powered functions. It offers descriptions of Lakehouse data components, organization with schemas and shortcuts, access control, and code examples. This skill supports users in designing, building, and optimizing Lakehouse solutions using 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。

Adopt a virtual Kraken exotic animal at animalhouse.ai. Deep sea. Incredibly long feeding windows. Surfaces rarely. When it does, it remembers everything. Feeding every 48 hours. Extreme tier animal.

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。

Complete guide for upgrading xUnit 2.9.x to 3.x. Use when upgrading xUnit v2 to v3 or understanding xUnit v3 new features and breaking changes. Covers package updates, async void fixes, IAsyncLifetime adjustments. Includes new features: Assert.Skip, Explicit Tests, Matrix Theory, Assembly Fixtures. Keywords: xunit upgrade, xunit v3, xunit 3.x, xunit migration, xunit upgrade, xunit.v3, OutputType Exe, IAsyncLifetime v3, Assert.Skip, SkipUnless, SkipWhen, Explicit attribute, MatrixTheoryData, AssemblyFixture, breaking changes

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。

WPA/WPA2-PSK attack methodology — four-way handshake capture via targeted deauthentication, PMKID attacks (no client required), hcxdumptool / hcxpcapngtool conversion to hashcat hc22000 format, GPU-accelerated cracking with dictionary, mask, and rule-based attacks, vendor default-PSK generators (UPC, Sky, BT, etc.), 802.11r FT key cracking, opportunistic key cache analysis, and signal-level optimization. Use when the in-scope network is WPA/WPA2 Personal — the most common consumer/SMB encryption mode.

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 low-fidelity wireframes, screen mockups, and user-flow diagrams in Frame0 (the hand-drawn Balsamiq-style wireframing tool) through its connected MCP server. Use when asked to wireframe a screen, sketch a UI, make a low-fi mockup, lay out an app's screens, or diagram a user flow with clickable links. Triggers: "wireframe", "frame0", "low-fi mockup", "sketch a screen", "user flow", "lo-fi", "rough out the UI". NOT for high-fidelity visual design, brand systems, or color/typography polish (use web-design-expert / Figma); NOT for production UI code (use frontend 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。

仕様や要件を、変更するファイル・関数の定義・テスト・確認手順が分かる実装計画にまとめるスキル。コードを書く前に作業を分け、担当者へ引き継げる形に整えます。

• コードを書く前に機能実装を計画したいとき
• 要件をテスト可能なタスクに分けたいとき
• 別の担当者やエージェントに引き継ぎたいとき

長いClaude Codeの作業で、会話や読み込んだ情報を圧縮するタイミングを提案します。文脈量とツール呼び出し回数を目安に、工程の区切りで重要な計画を残す判断を支援します。

• 長い会話が文脈上限に近づいたとき
• 調査内容をまとめて実装へ進みたいとき
• デバッグ後に別の作業へ移りたいとき

公開前や変更の取り込み後に、アプリの認証・データ・決済・運用を根拠付きで点検します。公開を妨げる問題と優先して直す項目を、本番への準備状況としてまとめるスキル。

• 公開前に本番への準備状況を確認したいとき
• 変更の取り込み後にリスクを確認したいとき
• CI通過後の本番リスクの点検

曖昧な機能要望や影響の大きい変更を、作業範囲・前提・リスクとともに整理し、期待する動作と検証方法が明確な受け入れ基準や引き継ぎ資料にまとめるスキル。

• 曖昧な機能要望を整理したいとき
• 認証変更やデータ移行の受け入れ基準作成
• 別のエージェントやチームへの実装引き継ぎ

ローカルで繰り返しているHermesの作業手順から個人情報や認証情報を除き、公開・再利用できるECCスキルやリリース資料に整理するスキル。

• 定型作業を公開スキルにしたいとき
• 公開用の引き継ぎ資料の整理
• 非公開情報を除いた夜間ジョブの文書化

Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, 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。

Generate a project-local verification skill that drives your app the way a user does — any language, framework, or platform. Use for /create-verification-skill, "make a control skill for this repo", or when a project has no scripted way to prove UI/CLI/service behavior.

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。

tasteskill v2, the anti-slop frontend skill. Art direction for websites, distilled from a study of 247 curated gallery sites (One Page Love, Awwwards Sites of the Day). Deals researched directions (idea, composition, type, palette, photographs, section blueprints) from a library, enforces a strict no-slop house style with a real-browser inspector, and runs a look-and-fix loop on screenshots. Use this whenever you build, design, redesign, restyle, polish or review a landing page, marketing site, portfolio, product page, one-pager, hero or any public-facing web page, in any stack (HTML/CSS, React, Next.js, Vue, Svelte, Astro, Tailwind) — also when the user says a page looks generic, templated, "AI-made", sloppy, or asks to make it look designed, premium, award-level or less like every other site. Not for dashboards or app screens.

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。

Creates, assigns, and updates tasks in an AI team run so work has one owner and one deliverable each. Use when the user asks to break down, assign, claim, block, or complete tasks in a run. Changes recorded task state only.

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。