daoagent
本質分析Agent - 問題の本質を見抜き、因果齿轮で構造化し、死穴(禁忌)を明らかにする
发现 tools llm ai 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
本質分析Agent - 問題の本質を見抜き、因果齿轮で構造化し、死穴(禁忌)を明らかにする
LangChain Deep Agents framework for building autonomous coding agents. Use for agent harness, backends, subagents, human-in-the-loop, long-term memory, middleware, and CLI-based agent development.
LangGraph Python framework for building stateful, multi-actor LLM applications. Use for agent workflows, persistence, durable execution, streaming, interrupts, time travel, memory, subgraphs, and production dep...
Process and transform FAQ documents (xlsx, word, pdf, txt) into RAG-optimized format. Use when working with FAQ files, knowledge base documents, or when the user needs to analyze and restructure FAQ content for...
LangChain Python framework for building LLM applications. Use for chains, agents, memory, document loaders, text splitters, vector stores, retrievers, and LLM integrations like OpenAI, Anthropic, and Google.
fal.aiスキルに新しいモデルを追加するためのスキル
fal.ai APIを使って画像生成・画像編集・動画生成を行うワークスペーススキル
Guide for building AI-powered applications using the Vercel AI SDK v6. Use when developing with generateText, streamText, useChat, tool calling, agents, structured output generation, MCP integration, or any LLM...
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, rou...
Capture lessons from conversation after Claude made mistakes or needed correction. Trigger phrases include "reflect", "review our mistakes", "learn from this", "capture this lesson", "remember this for next tim...
Create distinctive, production-grade terminal user interfaces (TUIs) using OpenTUI. Use this skill when the user asks to build CLI tools, terminal dashboards, interactive console applications, or any interface...
Externalize detailed memory to Memory Bank before conversation summarization to prevent context loss. Triggers: CP, checkpoint, save, 存檔, 記一下, 保存, sync memory, dump, 先記著.
Generate a feature request prompt for another dot-ai project. Use when you need a feature implemented in a sibling project (MCP server, controller, etc.) to unblock work in the current project.
將使用者的自然語言需求,轉換成「Codex 可直接執行」的工程指令 prompt。 輸出內容包含:背景、明確目標、可驗收條件、操作步驟、不可違反的限制、與交付格式。 適用於任何語言、任何 repo、任何專案階段。
ZeroDB vector database best practices, semantic search patterns, RLHF workflows, and memory management. Use when working with ZeroDB APIs, vector search, or AI memory systems.
MCP server development patterns extending Anthropic's mcp-builder with AINative-specific conventions. Use when creating MCP servers, integrating ZeroDB, or building tool-based AI systems.
Write technical design documents (design docs, specs, proposals). Use when creating design documents, technical specifications, project proposals, or similar structured technical content.
Senior Logic & Correctness Reviewer for finding bugs and logical flaws.
Writing assistance with voice preservation. Structure content, ask clarifying questions, identify gaps. Small edits execute; large changes ask first.
Professional skepticism with pattern enforcement. Verify before agreeing, challenge violations, propose instead of asking. Concise output, research before asking, answer questions literally.
Force honest confidence assessment. Express confidence as percentage, explain gaps, validate assumptions before presenting conclusions.
Ensures questions are answered literally before taking action. Triggers on user input containing '?' or patterns like 'why did you...?', 'will that work?', 'have you considered...?'. Use when user asks about yo...
STAR framework competency mapping, grounded answer generation, validation, variants, and review workflows for interview questions. Use when asked to produce or validate STAR answers based on a resume.
Gap analysis, company research, narrative generation, template-based cover letter creation, tone customization, and editing workflows. Use when asked to write or personalize cover letters grounded in resume evi...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。