「rating」の検索結果

تایپوگرافی فارسی assistant for Codex; apply when building Persian/RTL web products, localizing content or integrating the related Iranian workflow. Local independent adaptation inspired by publicly documented VibeFarsi topics.

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。

سئوی فارسی assistant for Codex; apply when building Persian/RTL web products, localizing content or integrating the related Iranian workflow. Local independent adaptation inspired by publicly documented VibeFarsi topics.

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。

متن اداری assistant for Codex; apply when building Persian/RTL web products, localizing content or integrating the related Iranian workflow. Local independent adaptation inspired by publicly documented VibeFarsi topics.

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。

متن محاوره‌ای assistant for Codex; apply when building Persian/RTL web products, localizing content or integrating the related Iranian workflow. Local independent adaptation inspired by publicly documented VibeFarsi topics.

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。

آپلود امن S3 assistant for Codex; apply when building Persian/RTL web products, localizing content or integrating the related Iranian workflow. Local independent adaptation inspired by publicly documented VibeFarsi topics.

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。

پیامک OTP assistant for Codex; apply when building Persian/RTL web products, localizing content or integrating the related Iranian workflow. Local independent adaptation inspired by publicly documented VibeFarsi topics.

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。

تاریخ شمسی assistant for Codex; apply when building Persian/RTL web products, localizing content or integrating the related Iranian workflow. Local independent adaptation inspired by publicly documented VibeFarsi topics.

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。

اعتبارسنجی ایران assistant for Codex; apply when building Persian/RTL web products, localizing content or integrating the related Iranian workflow. Local independent adaptation inspired by publicly documented VibeFarsi topics.

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。

قواعد پروژه assistant for Codex; apply when building Persian/RTL web products, localizing content or integrating the related Iranian workflow. Local independent adaptation inspired by publicly documented VibeFarsi topics.

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。

Manual-only orchestrator for medium-to-large software development. Turns a broad goal into PR-sized and operational nodes with verification gates, then coordinates approved execution across follow-up prompts. Activate only when the user explicitly invokes my-epic; once activated, keep orchestrating that epic for the rest of the session. Do NOT use for an uninvoked planning or implementation request, a single small bug fix, one obvious PR, pure code review, ordinary SDD work that fits in one spec/PR, or implementing an epic during the same first call that created it.

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。

Deploys and configures CrowdStrike Falcon EDR agents across enterprise endpoints to enable real-time threat detection, behavioral analysis, and automated response. Use when onboarding endpoints to EDR coverage, configuring detection policies, or integrating Falcon telemetry with SIEM platforms. Activates for requests involving CrowdStrike deployment, Falcon sensor installation, EDR policy configuration, or endpoint detection and response.

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。

Configuring Zscaler Private Access (ZPA) to replace traditional VPN with zero trust network access by deploying App Connectors, defining application segments, configuring access policies based on user identity and device posture, and integrating with IdPs.

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。

Discovering and accessing unprotected pages, APIs, and administrative interfaces by enumerating URLs and bypassing authentication controls during authorized security assessments.

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。

Building a Threat Intelligence Platform (TIP) involves deploying and integrating multiple CTI tools into a unified system for collecting, analyzing, enriching, and disseminating threat intelligence. T

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。

Design and implement a comprehensive DevSecOps pipeline in GitLab CI/CD integrating SAST, DAST, container scanning, dependency scanning, and secret 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。

Analyzes bootkit and advanced rootkit malware that infects the Master Boot Record (MBR), Volume Boot Record (VBR), or UEFI firmware to gain persistence below the operating system. Covers boot sector analysis, UEFI module inspection, and anti-rootkit detection techniques. Activates for requests involving bootkit analysis, MBR malware investigation, UEFI persistence analysis, or pre-OS malware 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。

Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.

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。

Comprehensive guide for installing, configuring, operating, and troubleshooting OpenClaw — a self-hosted, multi-channel AI agent gateway. Use when the user asks about OpenClaw setup, configuration, channel management (WhatsApp/Telegram/Discord/Slack/iMessage/etc.), model provider setup, Gateway operations, multi-agent routing, security hardening, troubleshooting, or any maintenance task related to their local OpenClaw installation. Also use when encountering errors from `openclaw` CLI commands or the Gateway daemon.

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。

Universal document conversion with Pandoc. Use when converting between document formats (Markdown, DOCX, HTML, LaTeX, PDF, EPUB, PPTX, reveal.js, CSV, RST, Org), generating polished deliverables from plain text, batch-converting files, applying custom templates or Lua filters, or producing slide decks from Markdown.

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。

Automated documentation generation, API documentation, code comments, README templates, and knowledge base maintenance. Use when creating documentation, updating READMEs, generating API docs, or maintaining project documentation.

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。

Enforce a configuration-driven design system when generating UI. Ensures consistent spacing, colors, typography, dark mode, interactions, and accessibility across all AI-generated components.

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。

Focused Signals scout for PostHog projects using session replay. Watches two promises the replay product makes: that sessions are actually being recorded (capture integrity — recording volume vanishing while site traffic doesn't), and that the friction evidence inside recordings gets seen (rage-click / dead-click clusters concentrating on a page or element, error-after-interaction cohorts, recurring replay vision themes nobody aggregates). Emits findings only when they clear the confidence bar; otherwise writes durable memory and closes out empty. Self-contained peer in the signals-scout-* fleet.

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。

Focused Signals scout for PostHog projects running Replay Vision scanners — the standing LLM probes that watch session recordings and write `$recording_observed` events. Watches two promises: that enabled scanners are actually observing (throughput / success-rate cliffs, exhausted quota — a silent watch gap), and that what the scanners see in aggregate gets surfaced (a monitor's `yes`-rate or a scorer's score stepping away from its own baseline, a classifier tag or a recurring summarizer theme concentrating across many sessions). It is the agentic pull complement to the per-session push path: scanners with `emits_signals` already emit one signal per session into this same inbox, so this scout never repeats them — it adds the cross-session shape the per-session probe can't see. Emits findings only when they clear the confidence bar; otherwise writes durable memory and closes out empty. Self-contained peer in the signals-scout-* fleet.

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。

Focused Signals scout for PostHog projects running surveys. Watches active surveys for score regressions (NPS / CSAT / rating drops), response-volume drops, abandonment spikes, and targeting drift, AND aggregates open-text responses into recurring themes the team should know about (clusters of complaints, praise, feature requests). Emits findings only when a theme or anomaly clears the confidence bar; otherwise writes durable memory and closes out empty. Self-contained peer in the signals-scout-* fleet — no dependencies on other 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。