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概要と使いどころ
Use when creating, merging, splitting, filling, or extracting from a PDF — library-per-task, output validated. Triggers on 'merge these PDFs', 'fill this PDF form', 'split the PDF', 'create a PDF'.
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。
Estimate a Jira/Linear ticket — 'estimate PROJ-123', 'wie groß ist das?', 'should we split this?' — size + risk + split + uncertainty, sibling of /refine-ticket, close-prompt.
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Validate and implement Sinclair ZX81 video emulation in the EMULATORS repository for /mZX811, /mZX812, and /mZX813, including ULA character generation, Z80 display-file execution, M1/refresh/HALT/INT behavior, scanline timing, HSYNC/VSYNC, NMI generator and WAIT synchronization, SLOW and FAST modes, PAL/NTSC margins, collapsed display files, inverse video, high-resolution techniques, ROM-version interactions, and ULA revision boundaries. Use when Codex reviews or edits namespace ZX81 ULA, ULARegisters, MemoryVideoCode, Memory, PortManager, Screen, CPU interrupt timing, raster, ROM-specific video flow, or ZX81 video tests.
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。
吉里吉里Z (krkrz) の SDL3 / WINVER ビルドを REPL 経由でエージェントから駆動するためのリファレンス。krkrz を起動して TJS スクリプトを評価・検証・デバッグする、startup.tjs を介さず明示的に処理を開始する、入力イベント (キー/マウス) を注入する、画面をキャプチャして目視確認する、Elements ダイアログを観測・操作する、例外やダイアログ表示をコンソールで観測する、コアデモ全シーンを自動巡回してキャプチャで表示確認する (-demotest / -demotestcap)、といった場面で使う。**外部エージェントは console(CONIN$) に打てないので -replfile ファイルチャネルが本命**。起動フラグ (-repl / -replfile / -nostartup / -loglevel / -display / -ignoremouse)、ファイルチャネルのプロトコル、Agent API (入力注入 / captureScreen / dialogs / dialogClick)、ドットコマンド (.cap/.dlg/.click/.mem 等)、REPL 駆動時の挙動変更 (例外で即終了しない / inform と例外ダイアログがコンソールに出る) を網羅。TJS2 言語仕様そのものは skill `tjs2`、本体クラス API は skill `krkrz` を参照。
Detect Kerberos Golden Ticket forgery by analyzing Windows Event ID 4769 for RC4 encryption downgrades (0x17), abnormal ticket lifetimes, and krbtgt account anomalies in Splunk and Elastic SIEM
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。
Detect Kerberos Pass-the-Ticket (PtT) attacks by analyzing Windows Event IDs 4768, 4769, and 4771 for anomalous ticket usage patterns in Splunk and Elastic SIEM
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。
Detect AWS IAM privilege escalation paths using boto3 and Cloudsplaining policy analysis to identify overly permissive policies, dangerous permission combinations, and least-privilege violations
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 vendor-agnostic detection rules using the Sigma rule format for threat detection across SIEM platforms including Splunk, Elastic, and Microsoft Sentinel. Use when creating portable detection logic from threat intelligence, mapping rules to MITRE ATT&CK techniques, or converting community Sigma rules into platform-specific queries using sigmac or pySigma backends.
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。
Automates the enrichment of raw indicators of compromise with multi-source threat intelligence context using SOAR platforms, Python pipelines, or TIP playbooks to reduce analyst triage time and standardize enrichment outputs. Use when building automated enrichment workflows integrated with SIEM alerts, email submission pipelines, or bulk IOC processing from threat feeds. Activates for requests involving SOAR enrichment, Cortex XSOAR, Splunk SOAR, TheHive, Python enrichment pipelines, or automated IOC processing.
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 real-time incident response dashboards in Splunk, Elastic, or Grafana to provide SOC analysts and leadership with situational awareness during active incidents, tracking affected systems, containment status, IOC spread, and response timeline. Use when IR teams need unified visibility during incident coordination and post-incident reporting.
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。
Split a working doc into the card's specs, plan, and test cases once its shape is clear
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.
Dynamic path segments ($paramName), splat routes ($ / _splat), optional params ({-$paramName}), prefix/suffix patterns ({$param}.ext), useParams, params.parse/stringify, pathParamsAllowedCharacters, i18n locale patterns.
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。
Scaffolds and reviews the main entry-point PHP file of a WordPress plugin — header (with Requires Plugins for WP 6.5+), ABSPATH guard, file/path/url/version constants, Composer + PSR-4 with manual spl_autoload_register fallback, register_activation_hook requirements check, Plugin class instantiation on plugins_loaded, and the WP 6.7+ rule that translation functions must not trigger before after_setup_theme. Use when scaffolding a new plugin or reviewing its main file. Triggers on Plugin Name headers, register_activation_hook, Requires Plugins, spl_autoload_register, plugins_loaded, or composer.json at the plugin root.
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。
Product marketing and go-to-market strategy for B2B SaaS launches and positioning. Use this skill when planning a product launch, developing positioning and messaging, analyzing competitive landscape, building customer advocacy programs, designing a win/loss interview program, working out why we lose deals, designing GTM strategy, creating category positioning, planning analyst briefings, or deciding which country to expand into and how far to localize. Also use it for brand marketing and demand creation — how much to spend on brand versus performance, what to measure when a brand campaign produces no conversion event, and how to answer "we cannot attribute it". Also triggers on: positioning, product launch, competitive intelligence, messaging, customer advocacy, win/loss analysis, win/loss interviews, why we lose deals, closed-lost analysis, loss reason, close-reason field, competitive displacement, displace an incumbent, rip and replace, competitive takeout, switch from a competitor, win deals from a competitor, incumbent contract, renewal window, auto-renewal notice period, switching costs, EU Data Act, cloud switching rights, why do we lose to no decision, GTM, category design, analyst briefing, G2 review, international expansion, market entry, expand into Europe, which country should we launch in next, localization, translate our site, in-country go-to-market, regional GTM, is cold email legal in Germany, brand marketing, brand awareness, brand vs performance, brand versus demand gen, demand creation, demand capture, 95-5 rule, out of market buyers, category entry points, distinctive brand assets, mental availability, brand tracking, brand health, brand lift, share of search, how do we measure brand, justify brand spend, brand budget.
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。
Context-aware remapping of stale parent shard references to new sub-shard targets after shard split operations
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。
Optimize a single Jetpack Compose @Composable function. Use when the user wants to improve, polish, animate, or refactor ONE Composable — keywords like "optimize this composable", "make this smoother", "add animation to this", "split this composable", "fix recomposition", "this composable is laggy", "polish this UI", or when user pastes/points to a single @Composable function. Analyzes the target for recomposition issues, missing animations, size/concern splits, and stability problems, then iterates with the user via AskUserQuestion to pick which optimizations to apply, then delegates implementation to the kta-compose-developer agent and summarizes changes. Input MUST be exactly one Composable (file path + function name, or function name alone).
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 high-quality git commits: review/stage intended changes, split into logical commits, and write clear commit messages (including Conventional Commits). Use when the user asks to commit, craft a commit message, stage changes, or split work into multiple commits.
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。
Subquadratic Attention Harvard NVIDIA Arya Tschand Yaosheng Fu Vijay Janapa Reddi Splitting quadrati
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。
Split one big task into chunks of at most 25 minutes, each with a done-check, and place the demanding ones in your high-energy hours. Use for "split this task", "break it into chunks", "I can't start this", "focus plan". Nothing leaves your computer.
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 interactive 3D scenes from Spline.design to web projects, including React embedding and runtime control API.
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。
Fetch current, hourly, and daily weather forecasts and display required attribution using WeatherKit. Use when integrating weather data, showing forecasts, handling weather alerts, displaying Apple Weather attribution, or querying historical weather statistics in iOS apps.
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。
Integrate AFL++ coverage-guided fuzz testing into CI/CD pipelines to discover memory corruption, input handling, and logic vulnerabilities in C/C++ and compiled applications.
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。
tespit etmeAWS IAM privilege escalation paths using boto3 and Cloudsplaining policy analysis to identify overly permissive policies, dangerous permission combinations, and least-privilege violations
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。