Results for “future-method”

当意识到当前行为模式可能导致不理想的未来，需要一种具体方法来激发改变动力时

\"What should I work on next?\" — two modes. Fast mode (default): one-shot recommendation from docs + git state, ≤10 lines, no interview. Deep mode (`/next deep` or when user asks to explore priorities): multi-round interview to surface the best move.

当需要设定人生方向或进行重大行为改变时

融合未来蓝图与虚空凝视能力，通过批判性思维构建未来愿景，突破传统界限，创造新的未来可能性。

当个人希望提升自身在职业或社会中的不可替代性，以应对环境变化和不确定性时

React、Next.js、状态管理、性能优化和UI最佳实践的前端开发模式。

在启动高风险项目或重要决策前，需要预先识别潜在失败点以增强心理韧性和方案鲁棒性时

Gemini: A Family of Highly Capable Multimodal Models

当需要在2-3个月内集中精力攻克一个重大、有挑战性的个人或职业目标时，使用此模型

Resolves legacy references to the vercel-react-expert capability by routing to the current runtime agent, plugin, or narrower skill.

当需要系统性地提升工作专注度和生产力，实现高质量成果时

Accelerate LLM inference using speculative decoding, Medusa multiple heads, and lookahead decoding techniques for 1.5-3.6× speedup without quality loss.

Mental models and decision frameworks for building autonomous agents that continuously learn, explore, and accumulate skills in open-ended environments without human supervision

Resolves legacy references to the pr-review-expert capability by routing to the current runtime agent or skill.

GPT-4V(ision) System Card

Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.

Resolves legacy references to the code-review-expert capability by routing to the current runtime agent or skill.

Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.

Understand and trade futures contracts on commodities, indices, crypto, and event outcomes. Covers contract mechanics, margin, settlement, spreads, and risk. Use when analyzing futures markets, understanding contract specs, evaluating margin requirements, or building futures strategies. Also trigger for 'futures contract', 'commodities trading', 'futures margin', 'contract specs', 'futures spread', 'oil futures', 'crypto futures', or 'index futures'.

Strategic patterns for solving intractable problems through cascading approximation, self-improvement, and heterogeneous evaluation from DeepMind's AlphaGo system

Build accessible modal dialogs in LWC using the LightningModal base class, covering open(), close(), sizes, and accessibility.

Provides React and Next.js patterns for component composition, state management, data fetching, and performance optimization.

Provides reusable React and Next.js patterns for component composition, state management, data fetching, and performance optimization.

Track elapsed time from a set epoch with tamper-evident locking, supporting count-up, count-down, and count-between modes, milestones, and email notifications.

Provides the shared STORM methodology, artifact layout, stage-gating contract, citation hygiene, and retrieval fallback. Use when executing any /storm:* skill (generate, research, outline, write, polish). Internal knowledge; never user-invocable.

Resolves legacy references to the conversion-engineer capability by routing to the current runtime agent or skill.

Routes requests into the correct obsidian-mind mode: install, daily session loop, capture, review, maintenance, multi-agent wiring, or semantic search, using a ready-made Obsidian vault template for persistent agent memory.

Remove a future phase from roadmap and renumber subsequent phases

Modern authentication implementation for 2026 - passkeys (WebAuthn), OAuth (Google, Apple), magic links, and cross-device sync. Use for passwordless-first authentication, social login setup, Supabase Auth, Next.js auth flows, and multi-factor authentication. Activate on "passkeys", "WebAuthn", "Google Sign-In", "Apple Sign-In", "magic link", "passwordless", "authentication", "login", "OAuth", "social login". NOT for session management without auth (use standard JWT docs), authorization/RBAC (use security-auditor), or API key management (use api-architect).

当在个人发展的某个领域（心智、身体、精神、职业）达到“失调阶段”（即对现状感到厌倦、停滞或不满，但尚未麻木）时，用于主动进入一个能加速学习和成长的“心流”或“痴迷”状态（即“渠道”）

Form UX

Conduct failure mode and effects analyses. TRIGGERS - Use when user needs help with fmea-guide related tasks.

Predicts the highest-impact next action for your project by running a 5-agent meta-DAG pipeline. Gathers project signals automatically (git, recent files, port-daddy, CLAUDE.md), then runs sensemaker → decomposer → skill-selector + premortem → synthesizer. When execution is approved, convert each predicted node into a skillful node prompt using skillful-node-prompt + skillful-subagent-creator, prefer live WinDAGs visualization backed by POST /api/execute and /ws/execution/:id, and fall back to ASCII only when live visualization is unavailable. Activate on: "what should I do", "what's next", "next move", "/next-move", "where should I focus", "what's the highest impact thing right now". NOT for: creating skills, debugging one specific bug, or promising topology-specific runtime behavior the current server cannot execute.

LLaVA-NeXT: Improved Reasoning, OCR, and World Knowledge

Stays current on UI design patterns, tools, and frameworks by monitoring release notes and running targeted search queries.