Results for “focus-time”

Search engine optimization for startups. Covers technical SEO, content strategy, and link building. Focus on sustainable approaches that compound over time rather than tricks that get penalized. Use when "seo, search engine optimization, organic traffic, google ranking, keyword research, backlinks, content strategy, search visibility, " mentioned.

当需要系统性地理解、诊断和提升个人专注力，以优化工作效能和生活体验时

当希望提升个人工作效率，实现深度工作，并追求工作与生活的更好平衡时

当需要将分散的注意力系统性地引导至个人成长方向，并为好奇心提供明确指引时

当需要进入并维持高度专注的深度工作状态时

当需要进入并维持一段高度专注、无干扰的工作状态以处理复杂任务时

当需要进入高效、创造性的深度工作状态，并将工作体验从“压力”转化为“有挑战的游戏”时

当需要系统性地规划个人生活、职业发展或特定项目，以摆脱外部干扰、聚焦核心目标时

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

当感到生活失控、注意力分散，需要系统性重获专注力时

Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster inference. Supports PyTorch native SDPA, flash-attn library, H100 FP8, and sliding window attention.

Keeps long AI sessions on track by tracking decisions, detecting scope creep, and flagging drift before it costs work.

Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Supports PyTorch native SDPA, flash-attn library, H100 FP8, and sliding window attention.

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

当规划内容创作策略或评估不同内容形式的长期价值时

Optimize context usage for the session by reducing bloat, improving token efficiency, and focusing on relevant areas. Use when context is growing large, responses are slow, or switching between unrelated tasks. Covers context analysis, compacting, targeted pruning, MCP-first strategies, and focused scoping by area.

Time (adag-time)

Guides daily mindfulness practice to reduce stress, improve focus, and build emotional regulation through structured routines and reflection.

通用时间抽象接口。当定义时间维度、时序关系、时间演化时调用此技能。

Time (afag-time)

当因“战术压力”或外部紧急事件而处于高压力状态时，需要将这种压力有效转化为极度专注的心流状态，以最高效率推进任务

Use the status-briefing skill to run `pk-reconcile session-start`, then

Maintains a working memory file for AI agents, tracking active goals, completed tasks, performance metrics, blockers, and key decisions across sessions.

Econometrics skill for panel data models. Activates when the user asks about: "panel data", "fixed effects", "random effects", "Hausman test", "within estimator", "between estimator", "two-way fixed effects", "clustered standard errors panel", "FE model", "RE model", "pooled OLS", "unobserved heterogeneity", "panel regression", "first difference estimator", "entity fixed effects", "time fixed effects", "面板数据", "固定效应", "随机效应", "豪斯曼检验", "双向固定效应", "面板回归", "个体效应", "时间效应", "一阶差分"

Diverga Memory System v7.0 - Context-persistent research support with checkpoint auto-trigger and cross-session continuity. Triggers: memory, remember, context, recall, checkpoint, decision, persist, 기억, 맥락, 세션, 체크포인트

A component for formatting and displaying time values with support for relative time, custom formats, time zones, and Unix timestamps.

当需要进入高度专注、高效且愉悦的心流状态以完成创造性或学习性任务时

当需要将模糊的长期愿景转化为可执行的日常行动，以提升专注力和生活掌控感时

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

Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster inference. Supports PyTorch native SDPA, flash-attn library, H100 FP8, and sliding window attention.

当需要进入高效学习、创作或问题解决的心流状态时，调用此模型作为环境与心理准备框架