AI โบรกเกอร์สินเชื่อบ้าน — เปรียบเทียบธนาคาร, ต่อรองดอกเบี้ย, ยื่นกู้, รีไฟแนนซ์, วิเคราะห์ต้นทุนแท้จริง
Skills（SKILL.md）は、AIエージェント（Claude Code、Cursor、Codexなど）に特定の能力を追加するための設定ファイルです。
詳しく見る →AI โบรกเกอร์สินเชื่อบ้าน — เปรียบเทียบธนาคาร, ต่อรองดอกเบี้ย, ยื่นกู้, รีไฟแนนซ์, วิเคราะห์ต้นทุนแท้จริง
> End-to-end threat modeling from system decomposition through threat enumeration, risk rating, and mitigation tracking -- the operational backbone of proactive security design
- **Providers**: register in `src/models/registry.ts#initProviders`. Add the
punderstruck
This skill represents the ultimate evolution of web search and AI assistance, integrating **ClaudeCode's revolutionary features** with Manus/Genspark-style multi-model intelligence and ClaudeCowork's
对任何主题进行系统调研，自动产出图文并茂的 Markdown 文档（含 Mermaid 结构图 + qwen-image 可视化），保存到认知结构对应维度的知识库，并自动注册到文档分类清单和知识图谱。当用户说「帮我调研/调研一下/系统调研/研究一下/帮我系统了解/深度研究 [主题]」时触发。
| | 产品反馈处理（本 Skill）| 规范审核迭代 |
Use loom workspace to create/manage worktrees for isolated execution of tickets.
You are an expert in multi-period lot-sizing models and production/inventory planning optimization. Your goal is to help determine optimal order or production quantities across multiple time periods t
LaTeX 模板高保真优化器，支持任意 LaTeX 模板的样式参数对齐、标题文字对齐、标题格式对比（加粗）、HTML 可视化报告、LaTeX 自动修复建议和像素级 PDF 对比验证
MCP 服务器智能管理助手。自动检测 MCP 可用性、智能开关、功能问答，提供人性化的 MCP 管理体验。
Create, modify, and manage MCP tools for the Naki mahjong AI assistant. Use when adding new MCP tools, modifying existing tools, or fixing tool-related issues. This skill understands the Protocol-based MCPTool architecture.
Match SAE features between Ultra (24K) and Full (2K) models based on activation patterns and token overlap
Two distinct features for managing message context:
Most companies can tell you who their competitors are. Very few can tell you why they're winning or losing against them. Even fewer can tell you whether their position is getting stronger or weaker ri
智能体是应用程序中的核心构建模块。一个智能体就是一个配置了指令和工具的大模型（LLM）。
<magic>--如何写skill文件？</magic>
CRITICAL: Use for domain modeling. Triggers: domain model, DDD, domain-driven design, entity, value object, aggregate, repository pattern, business rules, validation, invariant, 领域模型, 领域驱动设计, 业务规则
**持续学习与自我改进引擎** - 基于 RLHF + 经验驱动学习
>
Create AI agents with custom instructions, tools, and model configurations.
.ai/index.md
>
- Workspace member: **`rust_scorer`** (CLI + `float_scan_bench`). **`neat-core`** is a **path** dependency on **`../../NEAT-AI-core/neat-core`** (sibling clone of **[NEAT-AI-core](https://github.com/s
Advanced pattern for Ralph Loop using sub-agents, multiple models, and adversarial verification.
> **関連**: 基礎Embedding・自前セマンティック検索は [BEDROCK-EMBEDDING-SEARCH.md](./BEDROCK-EMBEDDING-SEARCH.md) を参照
Agent definitions used by the /mz:plan skill. The skill reads these agent files, resolves the model from config, updates the agent frontmatter, and spawns via registered subagent names.
Visionmate is a multi-modal assistant that continuously captures UVC video, screen content, or audio, streaming them to a VLM (Vision Language Model) to fuse visual and spoken context for near real-ti
- Purpose: check proofs against expectations
⛁ Manage your statusbar: the persistent gauge showing model, rate limits, context %, directory and git branch at the bottom of Claude Code
rlm
by Talent Level: [+1](/talent/Talent +1/){: .btn .btn--primary} [+2](/talent/Talent +2/){: .btn .btn--success} [+3](/talent/Talent +3/){: .btn .btn--warning} [+4](/talent/Talent +4/){: .btn .bt
Integrations connect Assistant to external systems (email, GitHub, Gemini, etc.). The project follows a Home Assistant-inspired model: core integrations for universally useful services, with the inten
- **Typed contracts are non-negotiable.** Never widen a contract field to `dict[str, Any]` or `Any`. Every module output is a typed Pydantic `BaseModel`.
- All agents extend `BaseAgent` from `conductor.agents.base`
- YAML frontmatter MUST include: `name`, `subagent_type`, `description`, `tools`, `model`, `color`, `skills`
Always set `model:` when spawning subagents. Haiku costs 12× less than Sonnet — use it for all search and explore work.
This file documents all 5 Agno-powered agents in the WAIGenie framework.
This file defines the lead-agent operating model for Aegis feature work in Claude-driven sessions.
How to use different LLM models for different agents in Present-Agent2.
| Agent ID | Owns | Entry dirs | Model | Can parallel with |
이 문서는 AI 가계부 프로젝트의 모든 코딩 컨벤션을 정의합니다.
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Agent configurations for Claude CLI. Tools use Claude's tool names.
|v1.0.0|Velt|April 2026
Each skill has two parts:
This directory contains supporting files for the patterns skill.
This directory contains supporting files for the patterns skill.
Check how much has been spent on Pi sessions for a given day, broken down by model and project. Use when the user asks about Pi costs, spending, or token usage.
You gain one skill of your choice.