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概要と使いどころ
Optimize machine learning model hyperparameters using grid search, random search, Bayesian optimization, and Hyperband to maximize model performance within a compute budget. Use when the user requests hyperparameter tuning or provides relevant inputs for this workflow.
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The Auto 档 scenario — a soft-plan orchestrator for a complete fundamental equity research thesis: understand → financials → valuation → synthesize. The body is a soft plan (stages), not a rigid DAG; correctness is enforced by each referenced skill's own requires: preconditions, never by this plan's rigidity (Q2).
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。
Execute research tasks — checklist soft gate, phase dispatch with explicit thesis_dir, budget enforcement (halt + approval card on overrun), skill_pin recording (version_hash content-hashed per skill directory), [x] written on completion.
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 and scope production work with Odyssey's real-time interactive video world models (odyssey.ml — Odyssey-1/Odyssey-2/Starchild-1/Agora-1). Use when a request involves generating video that a user steers live with keyboard, text, speech, or controller input (streamed frames that respond in the moment), or when someone must decide between Odyssey-style interactive generation and offline clip generators (Sora/Veo/Kling) or downloadable 3D / game engines. Covers what is verified versus announced, current access routes, latency and coherence limits, feasible-now versus speculative use cases, pricing/access terms, and content/rights considerations. This is a fast-moving research-stage product; the skill teaches honest scoping, not a promise of production reliability.
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 an agent needs production image or video understanding with Amazon Rekognition: labels, objects, scenes, OCR, moderation, image properties, Custom Labels or moderation adapters, stored-video analysis, conditional streaming-video workflows for existing eligible accounts, searchable media libraries, confidence evaluation, S3/IAM/event architecture, privacy, biometric consent, cost control, lifecycle management, and QA.
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 and analyze protein structures from RCSB PDB. Use this skill when: (1) Need to download a structure by PDB ID, (2) Search for similar structures, (3) Prepare target for binder design, (4) Extract specific chains or domains, (5) Get structure metadata. For sequence lookup, use uniprot. For binder design workflow, use binder-design.
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。
Research potential leads with verified contact information, professional backgrounds, company context, and social presence. Combines LinkedIn profiling, email verification, company enrichment, and social signals for sales-ready prospect intelligence.
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。
Research and collect social proof — testimonials, case studies, user reviews, social mentions, and community endorsements across platforms. Useful for marketing teams building trust content, landing pages, and sales collateral from authentic customer voices.
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。
Research startups and emerging companies with funding data, team composition, product positioning, market traction, and news coverage. Combines Apollo firmographics, LinkedIn team data, and web intelligence for comprehensive startup due diligence.
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。
Search tweets, analyze trends, monitor users, and gather social intelligence from Twitter/X through SandBase. Use when asked for Twitter research, social listening, trend analysis, influencer monitoring, sentiment tracking, or competitor social intelligence.
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。
Research any topic in exhaustive depth by combining web search, academic papers, social discussions, and community conversations. Produces comprehensive briefings with evidence from every available source type, confidence scoring, and identified knowledge gaps.
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。
Research npm packages — download stats, dependencies, maintainers, version history, and security advisories. Useful for technology due diligence, dependency auditing, and evaluating package reliability before adoption.
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。
Research potential partners by analyzing company profiles, product fit, market positioning, team background, and mutual connections. Combines firmographic data, content analysis, and social signals for partnership qualification and relationship 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。
Research any topic across China's major social platforms — Weibo, Douyin, Xiaohongshu, Bilibili, and Zhihu — simultaneously. Aggregates discussion volume, sentiment, key opinion leaders, and platform-specific trends for comprehensive China market intelligence.
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。
Research competitor advertising strategies through Facebook Ad Library, Google SERP ads, and social media sponsored content. Covers creative analysis, messaging patterns, targeting signals, and campaign frequency for competitive marketing intelligence.
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。
Research any domain with WHOIS data, DNS records, SSL certificate details, domain age, reputation scoring, and security header analysis. Covers ownership research, infrastructure mapping, security assessment, and competitive domain analysis.
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。
Research target audiences across Reddit, Twitter, Instagram, and Xiaohongshu to understand demographics, interests, pain points, language patterns, and content preferences. Produces audience personas backed by real community data.
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 content ideas backed by real audience demand data from Reddit questions, YouTube search gaps, Twitter discussions, and web search trends. Identifies proven topics, underserved questions, and content formats that outperform in your niche.
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Research online communities across Reddit, Telegram, and social platforms. Analyzes community size, engagement patterns, discussion themes, moderation culture, and member demographics for community strategy, partnership, and go-to-market planning.
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。
Research companies with employee reviews, product reviews, industry classification, and competitive landscape through Akta. Covers company enrichment, employee satisfaction signals, product feedback, industry mapping, and news monitoring.
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Research public companies and listed securities with current market, company, ownership, and filing data through SandBase. Use for ticker analysis, price-performance comparisons, insider activity, or an evidence-backed investment research brief; do not use for trade execution or personalized financial advice.
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Research and write evidence-backed listicles, product roundups, and best-of comparisons with optional SandBase SERP, page, review, and screenshot evidence. Use for ‘best tools’, ‘top products’, roundup, SEO, GEO, or answer-engine content; do not use for an unresearched promotional ranking presented as independent advice.
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。
Analyze competitor content coverage and uncover differentiated content opportunities using web search, page extraction, and DataForSEO content analysis. Use when asked for competitor content research, editorial gap analysis, content brief inputs, or topic whitespace.
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。
安全研究元思考方法论 - 从先知社区5600+篇安全文档中提炼的漏洞挖掘方法论框架。 Use this skill when: - 进行漏洞挖掘和安全研究时，需要系统化的思考框架 - 分析特定类型漏洞（Web注入、反序列化、二进制、域渗透等）的攻击路径 - 需要了解绕过防护措施（WAF、EDR、沙箱）的思维模式 - 进行代码审计需要Source-Sink分析方法论 - 红队攻防需要完整攻击链规划 - CTF竞赛需要快速解题思路 - 逆向分析恶意软件需要方法论指导 Triggers: 漏洞挖掘、安全研究、渗透测试、代码审计、红队攻防、CTF、逆向分析、 WAF绕过、免杀、提权、横向移动、域渗透、反序列化、二进制安全、Fuzzing
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。