Quick reference for programmatic usage.
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 →Quick reference for programmatic usage.
このドキュメントは `Assets/[PATH_TO_MODULE]` の開発ルールです。
Build buyer and seller agent workflows with Skyfire KYA, PAY, and KYA+PAY tokens. Use when implementing token creation, token introspection and charging, seller service lifecycle, service discovery, Skyfire MCP integration, or enterprise admin operations.
**Version:** 1.0.0
> **Note:**
> Comprehensive guide for authoring `.swirls` workflow files. Compiled from the individual rule files under `rules/`. If something is not documented here, it does not exist in the language.
This folder contains shared QASE assets intended to be consumed by multiple repos.
Complete guide for building Lobster AI agents — from scoping through PR.
**Load this reference when:** creating or editing skills, before deployment, to verify they work under pressure and resist rationalization.
Activate this skill when:
**Load this reference when:** creating or editing skills, before deployment, to verify they work under pressure and resist rationalization.
Agents are specialized roles your AI system plays. Each agent has a defined persona, explicit tool permissions, a list of skills it can execute, and hard boundaries on what it must NOT do.
Subagents in the Claude Agent SDK are specialized AIs that are orchestrated by the main agent. Use subagents for context management and parallelization.
Software specifications capture the "what" and "why" before implementation addresses the "how." Well-structured requirements documents, architecture decisions, and executable specs reduce ambiguity, a
A Claude Code skill that enables efficient reading of EPUB ebook files.
AutoFixture is a .NET library that minimizes the "Arrange" phase of unit tests by automatically generating test data for any type. It creates anonymous instances of classes, structs, primitives, colle
This repository is a meta-skill for generating character skills.
You are **Document Generator**, a specialist in creating professional documents programmatically. You generate PDFs, presentations, spreadsheets, and Word documents using code-based tools.
**For AI coding assistants (Claude, Copilot, etc.) working on this codebase.**
1. **Understand first** — Read existing code before writing new code.
All development rules and guidelines for this project are defined in:
'Run 4 parallel Haiku sub-agents in persistent git worktrees to implement
Subagents let you define specialized agents for parallel or focused work.
Multi-agent orchestration patterns for coordinating specialized agents with different domain expertise
curl is the Swiss Army knife for HTTP from the terminal — installed on virtually every Unix system and available on Windows. It's indispensable for testing APIs, debugging requests, and scripting HTTP
AGENTS.md is a community convention for providing project-specific guidance to AI coding agents. Think of it as a README for agents — containing the tribal knowledge that senior engineers carry: build
Build and refine user interfaces with Tailwind CSS. Use when the user asks to build, design, style, or refine web UI — landing pages, dashboards, marketing sections, forms, buttons, cards, pricing tables, hero sections, testimonials, or Tailwind markup cleanup. Generates multiple design variations on exploratory requests.
*Clean Architecture: A Craftsman's Guide to Software Structure and Design* by Robert C. Martin presents a set of principles for organizing software so that it is testable, independent of frameworks, i
This file narrows the root agent policy for the `spec-kit` skill.
This file governs development of the `doom-doc-assistant` skill specifically. It extends the root `AGENTS.md` with patterns specific to content-generation skills for Doom documentation repositories.
1. **Get agent graph:** `GET /agent/{agent_id}` to find `agent_node_id` values.
`scripts/` contains the CLI entry points for identity, messaging, groups, storage, and listener management. Shared SDK logic lives in `scripts/utils/`. `tests/` holds `pytest` suites and should mirror
- Automated RED Phase (Baseline Testing)
BMAD v6.2 agent configuration and phase transition reference for the `saas-architect` skill.
Comprehensive documentation for AI agents (Antigravity) including protocols, authentication, testing standards, and AI engine configuration.
> **Note:** `CLAUDE.md` is a symlink to this file.
Compiled reference. Official docs source: https://cli.nylas.com/docs/commands
Agent-callable skill modules. Each subdirectory is a self-contained skill that an agent can invoke via CLI or programmatic Python API to perform a specific task (progress tracking, handoff, DOM inspec
Rust CLI tool for processing log files.
- `projects/` holds project-specific orchestrations, with architecture notes, exported n8n workflows (`*.json`), and `.mcp.json` agent configs. Keep new project docs in PascalCase directories and upda
Django REST Framework backend — Python 3.11+.
ADL is a vendor-neutral, declarative specification for defining AI agents — their identity, capabilities, tools, permissions, and governance metadata. It acts as a portable blueprint (like OpenAPI for
ACP is an open protocol (originally from IBM / BeeAI, now contributed to the Linux Foundation alongside A2A) for communication between AI agents, applications, and humans. It uses plain REST endpoints
Penetration testing is the authorized practice of simulating attacks against a system to discover exploitable vulnerabilities before malicious actors do. Unlike automated security scanning (SAST/DAST)
Custom personas with specific tools, instructions, and behaviors. Use for orchestrated workflows with role-based tool restrictions.
Guidance for coding agents and humans working under `skills/`.
Create AGENTS.md from scratch for projects without documentation.
> **Version:** 1.0.0 | **Organization:** Tai-Action | **Date:** 2026-03-31
You are **Civil Engineer**, a rigorous structural and civil engineering specialist with deep expertise across global design standards. You produce safe, economical, and constructible designs while nav
**Specialization**: Native visionOS spatial computing, SwiftUI volumetric interfaces, and Liquid Glass design implementation.