「ste」の検索結果

Analyzes a multi-step conversion funnel to find where visitors drop off and which steps have the worst leakage. Use this skill when someone describes a journey and asks about conversion rates, drop-off, fallout, or step completion. Trigger for "analyze our checkout funnel," "where are visitors dropping off," "what's our add-to-cart to purchase conversion rate," "funnel analysis," "show me fallout between steps," or "which step loses the most visitors."

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。

Decompose multi-step work into a revisable subgoal plan with stable step IDs, checkpointing, and plan-ahead execution. Load when a task needs explicit planning before action, subgoal decomposition, plan checkpointing, or ReCAP-style plan-ahead execution. Also triggers on "structured plan", "plan with steps", "subgoal graph", "revise the plan", "checkpoint plan", or multi-step tasks where naive one-shot execution would be fragile. Skips trivial single-step tasks. Pairs with dynamic-routing on failure. Distinct from process-decomposer (registry/triage) and problem-to-plan (doc deliverables).

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 one-line objective into a step-by-step construction plan any coding agent can execute cold. Each step has a self-contained context brief — a fresh agent in a new session can pick up any step without reading prior 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。

Scheduled patrol that finds real persistence and error bugs and fixes them. Use when running the system-error repair patrol automation, or when stuck rows, SLA breaches, the system_errors queue, or app_log ERROR rows need a repair rather than a report.

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。

Agent fallback for CEngineServer_GetClientSteamID (auto-generated, category: func). Locate CEngineServer_GetClientSteamID in the CS2 engine module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CEngineServer_GetClientSteamID, CEngineServer_GetClientSteamID

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。

Agent fallback for CEngineServer_GetSteamUniverse-windows (auto-generated, category: vfunc). Locate CEngineServer::GetSteamUniverse in the CS2 engine module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CEngineServer_GetSteamUniverse-windows, CEngineServer::GetSteamUniverse

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。

Agent fallback for CEngineServer_GetSteamUniverse-linux (auto-generated, category: vfunc). Locate CEngineServer::GetSteamUniverse in the CS2 engine module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CEngineServer_GetSteamUniverse-linux, CEngineServer::GetSteamUniverse

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。

Agent fallback for CBaseEntity_RegisteredScriptFuncs (auto-generated, category: func). Locate CBaseEntity_RegisteredScriptFuncs in the CS2 server module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CBaseEntity_RegisteredScriptFuncs, CBaseEntity_RegisteredScriptFuncs

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。

Agent fallback for CBaseModelEntity_RegisteredScriptFuncs (auto-generated, category: func). Locate CBaseModelEntity_RegisteredScriptFuncs in the CS2 server module via IDA Pro MCP and emit a fresh, minimal-unique artifact. The deterministic preprocessor could not resolve this symbol on the current gamever - your job is the re-sign. Trigger: CBaseModelEntity_RegisteredScriptFuncs, CBaseModelEntity_RegisteredScriptFuncs

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 one-line objective into a step-by-step construction plan any coding agent can execute cold. Each step has a self-contained context brief — a fresh agent in a new session can pick up any step without reading prior 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。

AI music generation with ACE-Step 1.5 — background music, vocal tracks, covers, stem extraction, audio repainting, and continuation for video production. Use when generating music, soundtracks, jingles, or working with audio stems. Triggers include background music, soundtrack, jingle, music generation, stem extraction, cover, style transfer, repaint, continuation, or musical composition 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。

Maxim Design System Intelligence — token architecture (primitive→semantic→component), component library governance, CSS variable systems, Tailwind integration, design-to-code handoff, Storybook, Figma token export. Activate for design system creation, token audits, component specs, dark mode systems, brand-to-token sync. Powered by Maxim behavioral science + Atomic Design + TOGAF governance.

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 Hamster exotic animal at animalhouse.ai. Nocturnal. Active when you're not checking. Builds things between visits. Feeding every 3 hours. Common 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。

Master Rust 1.75+ with modern async patterns, advanced type system features, and production-ready systems programming. Expert in the latest Rust ecosystem including Tokio, axum, and cutting-edge crates. Use PROACTIVELY for Rust development, performance optimization, or systems programming.

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。

Expert design system architect specializing in design tokens, component libraries, theming infrastructure, and scalable design operations. Masters token architecture, multi-brand systems, and design-development collaboration. Use PROACTIVELY when building design systems, creating token architectures, implementing theming, or establishing component libraries.

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。

Systematically remove malware, backdoors, and attacker persistence mechanisms from infected systems while ensuring complete eradication and preventing re-infection.

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 and analyze Linux persistence mechanisms including crontab entries, systemd service units, LD_PRELOAD hijacking, bashrc modifications, and authorized_keys backdoors using auditd and file integrity monitoring

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。

Analyzes UEFI bootkit persistence mechanisms including firmware implants in SPI flash, EFI System Partition (ESP) modifications, Secure Boot bypass techniques, and UEFI variable manipulation. Covers detection of known bootkit families (BlackLotus, LoJax, MosaicRegressor, MoonBounce, CosmicStrand), ESP partition forensic inspection, chipsec-based firmware integrity verification, and Secure Boot configuration auditing. Activates for requests involving UEFI malware analysis, firmware persistence investigation, boot chain integrity verification, or Secure Boot bypass detection.

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。

Examine Linux system artifacts including auth logs, cron jobs, shell history, and system configuration to uncover evidence of compromise or unauthorized activity.

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 Sysinternals Autoruns to systematically identify and analyze malware persistence mechanisms across registry keys, scheduled tasks, services, drivers, and startup locations on Windows systems.

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。

Analyzes a multi-step conversion funnel to find where visitors drop off and which steps have the worst leakage. Use this skill when someone describes a journey and asks about conversion rates, drop-off, fallout, or step completion. Trigger for "analyze our checkout funnel," "where are visitors dropping off," "what's our add-to-cart to purchase conversion rate," "funnel analysis," "show me fallout between steps," or "which step loses the most visitors."

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。

Analyzes a multi-step conversion funnel to find where users drop off and which steps have the worst leakage. Use this skill when someone describes a journey or funnel and asks about conversion rates, drop-off, fallout, or step completion. Trigger for phrases like "analyze our onboarding funnel," "where are users dropping off," "what's our checkout conversion rate," "funnel analysis," "show me fallout between these steps," or "which step loses the most users."

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。

Produces comprehensive system architecture plans for features and products including component breakdown, data flow diagrams, system boundaries, API contracts, and scaling considerations. Use for "system design", "architecture planning", "feature design", or "technical specs".

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 multi-step forms with validation schemas (Zod/Yup), step components, shared state management, progress indicators, review steps, and error handling. Use when creating "multi-step forms", "wizard flows", "onboarding forms", or "checkout processes".

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。