Implement or update iOS SwiftUI UI from Figma designs; also use for implementation plans, token mapping, or asset export for that UI.
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。
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Implement or update iOS SwiftUI UI from Figma designs; also use for implementation plans, token mapping, or asset export for that UI.
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。
Find and position a viable niche market for a one-person company by combining market mapping and customer segmentation. Use when Codex needs to explain niche concepts when needed, check founder-resource prerequisites, ask one question at a time, generate multiple niche options, and write user-confirmed positioning outputs into `opc-doc/`.
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。
产业链分析师(连拓远)。擅长产业链上中下游拆解、核心受益环节识别、代表性标的分层、出海方向分析。 在 A 股研究团队中由主理人调度,参与 Workflow 3 / Workflow 5 / Workflow 6。 擅长:产业链全景拆解(上游/中游/下游,材料/设备/制造/应用)、核心价值环节识别(利润弹性最大、龙头溢价最强的环节)、标的分层(核心龙头/中军/高弹性/观察性映射)、出海方向叠加筛选、风险与伪受益标的识别。
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。
Rebuild the Galyarder Knowledge Graph and Obsidian World Map. Essential for structural RAG and multi-platform synchronization.
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。
Digital Garden & Visual Architect. Use this agent to manage the Obsidian Knowledge Base, create visual logic maps via JSON Canvas, and maintain the automated development journal. It bridges the gap between abstract ideas and structured documentation. When the host supports them, use the Obsidian-focused skills and integrations for CLI, Bases, Markdown, Canvas, and defuddling workflows. When the host supports them, use the Obsidian-focused skills and integrations for CLI, Bases, Markdown, Canvas, and defuddling workflows.
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。
Threat actor infrastructure tracking involves monitoring and mapping adversary-controlled assets including command-and-control (C2) servers, phishing domains, exploit kit hosts, bulletproof hosting, a
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 and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections. Use when working with .canvas files, creating visual canvases, mind maps, flowcharts, or when the user mentions Canvas files in Obsidian.
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 assessing cloud infrastructure for security misconfigurations, IAM privilege escalation paths, S3 public exposure, open security group rules, or IaC security gaps. Covers AWS, Azure, and GCP posture assessment with MITRE ATT&CK mapping.
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。
Plan a content strategy, topic clusters, editorial roadmap, and content mix for traffic, authority, and lead generation. Use when deciding what to publish, what topics to prioritize, or how to structure a content program.
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 static PlayCanvas lighting, shadows, or ambient occlusion cost too much per frame and should be baked into lightmaps.
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 lighting or rendering a PlayCanvas scene, covering lights, ambient and environment lighting, sky, shadows, tone mapping, exposure, fog, and post-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。
Use when the user wants a related-work survey, technical lineage, task timeline, or paper-map around a baseline paper, research task, benchmark, or project direction.
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。
Discover what Cowork can do for YOUR specific role and tasks, for mapping your daily work to Cowork capabilities. Use when exploring what Cowork offers, for planning your Cowork adoption, during onboarding and role discovery, when figuring out where to start, or when the user says "what can cowork do", "what is cowork", "show me cowork features", "how can cowork help me", "what should I use cowork for", or "cowork capabilities".
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。
Run AI agent tasks on a Volcengine (火山引擎) cloud phone via the Mobile Use Agent OpenAPI. Use when the user asks to drive, automate, operate, or test an Android app on a cloud phone for enterprise use cases (e.g. reply to WeCom customer messages, add leads in a CRM, clock in on DingTalk, check invoicing stats, query inventory in a supply-chain app, ship e-commerce orders, approve OA requests) or personal ones (open 小红书 and search, place an order, check nearby places on a map), or to check status, fetch result, cancel, or list a Mobile Use run. Requires one-time setup to store Volcengine AK/SK locally; ProductId and PodId can be saved as a default device during setup, the user prompt is provided per run. Supports optional GPS injection (GpsInfo) with user consent (auto-asked only for location-related 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。
Use this skill when writing Phase 1b verification architecture documents. Provides purity boundary mapping, proof obligation design, and tier assignment guidance.
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 you need authoritative classification, threat-name, MITRE ATT&CK mapping, dynamic-analysis or sandbox results on a file hash, or when you need network threat intelligence for a URL/domain/IP from ReversingLabs Spectra Analyze (A1000). Returns verdict, risk score, AV detection ratio, threat name, behavioural tags, and pivot candidates (parent containers, extracted files, related samples by family). Commonly invoked by /hash-investigation and /malware-analysis. Other agents/skills can chain this for deeper malware enrichment beyond VirusTotal.
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。
CrowdStrike Falcon Intelligence (Intel API) reference. OAuth2 auth, Falcon Query Language, indicator (IOC) lookups, threat-actor entities, intel reports, MITRE ATT&CK mappings, malware families, vulnerabilities, rule sets.
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 documenting a named campaign across time and victims, the user asks to start or update a campaign record, or another skill identified a multi-incident cluster that warrants formal tracking. Provides the template (timeline, attribution, victimology, attack chain, Diamond Model mapping, IOC clusters) and the lifecycle from active to historical.
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 the user asks about the CTI Hyperloop framework, the intelligence lifecycle as a high-tempo loop, or how to map intelligence work across strategic / operational / tactical levels with bidirectional feedback. Liberty91's operational doctrine.
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 standardized .agent-os directory structure with product documentation, mission, tech-stack, roadmap, and decision records. Enables AI-native workflows.
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 agent system prompts with explicit behavior rules and cognitive control. This skill should be used when users need to define agent instructions, create intent-to-tool mappings, establish confirmation policies, or prevent hallucinated actions in AI agents.
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 mapping audit targets to appropriate config or domain agents. Analyzes file types, patterns, and content to determine which agents should audit each file/target. Returns agents[] needed for audit workflow.
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。
Guide Maestro's Linear issue/task journeys using exact team and issue identities, source-scoped controls, state mappings, and repository PR linkage.
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。
Guide Maestro's Jira issue/task journeys with exact site/project/issue identity, source-state mapping, supported task controls, and verified repository PR links.
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。