「challenge」の検索結果

Reviews a proposal, business case, deck or plan in character as a Chief Marketing Officer archetype and returns a DRAFT review in the chat with a verdict, findings cited to specific passages, marketing risks, what would change the verdict and five interrogation questions. Use when the user asks to "run a CMO review", "pressure-test the positioning", "what would a CMO say about this", "challenge the launch plan" or "check the messaging and audience". Do not use for price economics, margins or payback, use cfo-reviewer instead; for sales pipeline mechanics, use cro-reviewer. Drafts for human review; never approves, authorises or signs off.

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Reviews a proposal, business case, deck or product plan in character as a Chief Product Officer archetype and returns a DRAFT review in the chat with a verdict, findings that cite the exact passage, product and adoption risks, what would change the verdict and five interrogation questions. Use when the user asks to "run a CPO review", "pressure-test this product plan", "what would a CPO say about this", "challenge the user evidence" or "check the roadmap opportunity cost". Do not use for positioning, messaging or launch marketing, use cmo-reviewer instead; for internal staff adoption of a rollout, use frontline-skeptic-reviewer; for what a change asks of paying customers, use customer-advocate-reviewer. Drafts for human review; never approves, authorises or signs off.

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Reviews a proposal, business case, deck, pricing plan, go-to-market plan or forecast in character as a Chief Revenue Officer archetype and returns a DRAFT review in the chat with a verdict, findings cited to exact passages, revenue risks, what would change the verdict and five interrogation questions. Use when the user asks to "run a CRO review", "pressure-test the revenue plan", "what would sales leadership say about this" or "challenge this forecast". Do not use for partnership, deal-structure or market-positioning reviews, use cbo-reviewer instead; for the finance seat use cfo-reviewer. Drafts for human review; never approves, authorises or signs off.

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Reviews a proposal, business case, deck or plan in character as a Chief Financial Officer archetype and returns a DRAFT review in the chat with a verdict, findings that cite the exact passage, finance risks, what would change the verdict and five interrogation questions. Use when the user asks to "run a CFO review", "pressure-test the numbers in this business case", "what would a CFO say about this", "challenge the payback and run costs" or "prepare this for the investment committee". Do not use for delivery or capacity questions, use coo-reviewer instead; for architecture or vendor questions, use cto-reviewer; for positioning or demand, use cmo-reviewer. Drafts for human review; never approves, authorises or signs off.

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- Turn findings into a defensible intelligence product — BLUF key judgements, standardised estimative probability language, per-claim sourcing with timestamps and archived copies, separated observation, inference and assessment,… Use when writing an intelligence report, due-diligence memo, evidence pack or executive summary, or when asked to write up an investigation so it survives challenge

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Have the second brain ask the owner five hard questions about their own long-held beliefs and codex entries that have not been revisited, so assumptions stop fossilizing. Monthly or on demand. Triggers: "/five-hard", "challenge my beliefs", "pressure-test my views".

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Expert-level guidance for Flutter production applications: architecture decisions (Clean/Layered/Hexagonal/Feature-First), advanced state management (BLoC/Riverpod/GetX), performance optimization (eliminating jank, memory profiling, reducing rebuild overhead), code review with design pattern enforcement, scalability assessments, native platform integration (MethodChannel/EventChannel/FFI), complex UI challenges (custom render objects, slivers), testing strategies (unit/widget/integration/golden), CI/CD pipeline architecture, build optimization, and accessibility compliance. Triggers: 'architecture decision', 'design pattern', 'performance issue', 'code review', 'production problem', 'scaling concerns', 'best practices', 'technical debt', 'refactoring strategy'. Essential for complex enterprise apps, critical production debugging, architectural refactors, or when choosing between competing technical approaches.

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Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it'...

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Multi-phase dialectical stress-test for HIGH-STAKES decisions only (architecture choices, irreversible product calls, strategic bets). Heavy-cost skill — do NOT use for routine questions, brainstorming, or simple tradeoffs. User must explicitly invoke or describe a decision they call "high-stakes", "irreversible", or "needs stress-testing". Triggers: "stress test this decision", "dialectic on", "challenge this thesis", "should I really".

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Use when working with Cert Manager — cert-manager certificate lifecycle management. Covers certificate issuance, issuer configuration, ACME challenges, certificate renewal, troubleshooting failed issuance, and trust management. Use when managing TLS certificates in Kubernetes, debugging issuance failures, configuring ACME providers, or monitoring certificate expiration.

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Prompt Injection Challenge: LLMail-Inject The competition features 40 unique levels, each combining

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Understand anti-reversing, obfuscation, and protection techniques encountered during software analysis. Use this skill when analyzing malware evasion techniques, when implementing anti-debugging protections for CTF challenges, when reverse engineering packed binaries, or when building security research tools that need to detect virtualized environments.

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Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 7 modes: full research, quick brief, paper review, lit-review, fact-check, Socratic guided research dialogue, and systematic review with optional meta-analysis. Covers research question formulation, Socratic mentoring, methodology design, systematic literature search, source verification, cross-source synthesis, risk of bias assessment, meta-analysis, APA 7.0 report compilation, editorial review, devil's advocate challenges, ethics review, and post-research literature monitoring. Triggers on: research, deep research, literature review, systematic review, meta-analysis, PRISMA, evidence synthesis, fact-check, guide my research, help me think through, 研究, 深度研究, 文獻回顧, 文獻探討, 系統性回顧, 後設分析, 事實查核, 引導我的研究, 幫我釐清, 幫我想想, 我不確定要研究什麼, 研究方向, 研究主題.

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When the user wants to create, plan, or optimize App Store In-App Events — the event cards that appear on the Today tab, search results, and your product page. Use when the user mentions "in-app event", "App Store event", "event card", "Today tab", "live event", "challenge", "game event", "seasonal event card", or wants visibility beyond organic search. For general ASO, see aso-audit. For seasonal keyword strategy, see seasonal-aso.

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Integrate Game Center features using GameKit. Use when authenticating players with GKLocalPlayer, submitting scores to leaderboards, unlocking achievements, implementing real-time or turn-based multiplayer matchmaking, showing the Game Center access point or dashboard, or adding challenges and friend invitations to iOS games.

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Voice agents represent the frontier of AI interaction - humans speaking naturally with AI systems. The challenge isn't just speech recognition and synthesis, it's achieving natural conversation flow with sub-800ms latency while handling interruptions, background noise, and emotional nuance. This skill covers two architectures: speech-to-speech (OpenAI Realtime API, lowest latency, most natural) and pipeline (STT→LLM→TTS, more control, easier to debug). Key insight: latency is the constraint. Hu

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Docker containerization expert with deep knowledge of multi-stage builds, image optimization, container security, Docker Compose orchestration, and production deployment patterns. Use PROACTIVELY for Dockerfile optimization, container issues, image size problems, security hardening, networking, and orchestration challenges.

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Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text. Covers Anthropic's Computer Use, OpenAI's Operator/CUA, and open-source alternatives. Critical focus on sandboxing, security, and handling the unique challenges of vision-based control. Use when: computer use, desktop automation agent, screen control AI, vision-based agent, GUI automation.

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Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decision multiplies failure probability. This skill covers agent loops (ReAct, Plan-Execute), goal decomposition, reflection patterns, and production reliability. Key insight: compounding error rates kill autonomous agents. A 95% success rate per step drops to 60% b

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Provides open source intelligence techniques for CTF challenges. Use when gathering information from public sources, social media, geolocation, DNS records, username enumeration, reverse image search, Google dorking, Wayback Machine, Tor relays, FEC filings, or identifying unknow

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Provides miscellaneous CTF challenge techniques for problems that do not cleanly fit the main categories. Use for encoding puzzles, pyjails, bash jails, RF/SDR, DNS oddities, unicode tricks, esoteric languages, QR or audio puzzles, constraint solving, game theory, unusual sandbox

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Provides digital forensics and signal analysis techniques for CTF challenges. Use when analyzing disk images, memory dumps, event logs, network captures, cryptocurrency transactions, steganography, PDF analysis, Windows registry, Volatility, PCAP, Docker images, coredumps, side-c

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Provides AI and machine learning techniques for CTF challenges. Use when attacking ML models, crafting adversarial examples, performing model extraction, prompt injection, membership inference, training data poisoning, fine-tuning manipulation, neural network analysis, LoRA adapt

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Provides web exploitation techniques for CTF challenges. Use when the target is primarily an HTTP application, API, browser client, template engine, identity flow, or smart-contract frontend/backend surface, including XSS, SQLi, SSTI, SSRF, XXE, JWT, auth bypass, file upload, req

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。