other Skills

Enter and manage Deep Work sessions in Agent Hive. Use this skill when starting a focused work session on a project, gen...

马斯克时间盒管理法：时间固定，范围可变。用 MVU 驱动 AI 在限定时间内最大化交付完成度，而非完美主义。触发词：时间盒、启动任务、mvu、限时完成。

Expert guidance for DeepAgents framework - simplified agent creation with tool integration for LangChain/LangGraph workf...

DeepAgent-style memory folding for VCO sessions: compress long context into structured working/tool memory without using...

DeepAgent-style tool discovery for VCO: propose a minimal skill/tool chain (with verification points) and reduce confirm...

LangChain Deep Agents framework for building autonomous coding agents. Use for agent harness, backends, subagents, human...

Guides architectural decisions for Deep Agents applications. Use when deciding between Deep Agents vs alternatives, choo...

Deep Agents CLI reference and usage guide. Use when the user wants to: (1) Launch or configure the deepagents terminal c...

Deep Agents CLI — the LangGraph-based terminal coding agent. Use this skill whenever the user mentions deepagents, deep...

Deep Agents CLI reference and usage guide. Use when the user wants to: (1) Launch or configure the deepagents terminal c...

使用 Deep Agents CLI - 终端界面、持久化内存（AGENTS.md）、项目约定、技能目录和 CLI 命令。

Deep Agents CLI reference and usage guide. Use when the user wants to: (1) Launch or configure the deepagents terminal c...

Reviews Deep Agents code for bugs, anti-patterns, and improvements. Use when reviewing code that uses create_deep_agent,...

使用 FilesystemMiddleware 实现虚拟文件系统、后端（State、Store、Filesystem、Composite）和 Deep Agents 的上下文管理。

在 Deep Agents 中实现人工审批工作流，使用 interruptOn 参数对敏感工具操作进行人工干预。

Implements agents using Deep Agents. Use when building agents with create_deep_agent, configuring backends, defining sub...

在 Deep Agents 中实现长期内存，使用 StoreBackend、CompositeBackend 和 InMemoryStore 进行跨会话的持久化数据存储。

理解 Deep Agents 框架 - 它们是什么、如何使用 createDeepAgent 创建，以及 agent harness 架构，包括内置的规划、文件系统和子代理中间件。

在 Deep Agents 中创建和使用自定义技能，实现渐进式披露、SKILL.md 格式和 Agent Skills 协议。

在 Deep Agents 中使用 SubAgentMiddleware 启动子代理进行任务委托、上下文隔离和专门工作。

Using TodoListMiddleware for task planning and tracking progress with the write_todos tool in Deep Agents for complex mu...

DeepChat app settings modification (DeepChat 设置/偏好) skill. Activate ONLY when the user explicitly asks to change DeepCha...

Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditi...

Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditi...

Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditi...

Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pre...

Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pre...

Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditi...

Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pre...

Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pre...

Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pre...

Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pre...

Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pre...

Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pre...

Enhance an existing plan with parallel research, per-section analysis, and updated beads tasks.

Comprehensive 6-phase research funnel — 8-10 parallel survey agents sweep wide, a synthesizer compiles evidence, deep-di...

Comprehensive 6-phase research funnel — 8-10 parallel survey agents sweep wide, a synthesizer compiles evidence, deep-di...

Comprehensive 6-phase research funnel — 8-10 parallel survey agents sweep wide, a synthesizer compiles evidence, deep-di...

Comprehensive 6-phase research funnel — 8-10 parallel survey agents sweep wide, a synthesizer compiles evidence, deep-di...

Use when discussing or working with DeepEval (the python AI evaluation framework)

Basic usage guide for the DeepFace library (face recognition, verification, analysis).

Automate Deepgram tasks via Rube MCP (Composio). Always search tools first for current schemas.

Configure Deepgram CI/CD integration for automated testing and deployment. Use when setting up continuous integration pi...

Diagnose and fix common Deepgram errors and issues. Use when troubleshooting Deepgram API errors, debugging transcriptio...

Implement speech-to-text transcription workflow with Deepgram. Use when building pre-recorded audio transcription, batch...

Optimize Deepgram costs and usage for budget-conscious deployments. Use when reducing transcription costs, implementing...

Collect Deepgram debug evidence for support and troubleshooting. Use when preparing support tickets, investigating issue...

Configure enterprise role-based access control for Deepgram integrations. Use when implementing team permissions, managi...