Evaluate solutions through multi-round debate between independent judges until consensus
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 →Evaluate solutions through multi-round debate between independent judges until consensus
Research a topic from the last 30 days on Reddit + X + Web, become an expert, and write copy-paste-ready prompts for the user's target tool.
Prevent semantic code duplication with capability index and check-before-write
Campaign attribution analysis involves systematically evaluating evidence to determine which threat actor or
Analyze Microsoft Outlook PST and OST files for email forensic evidence including message content, headers, attachments,
'Analyzes UEFI bootkit persistence mechanisms including firmware implants in SPI flash, EFI System Partition
Configure Google Workspace advanced phishing and malware protection settings including pre-delivery scanning,
Clone a real person's voice from online video, or design a voice from a photo, then roleplay as that person with TTS.
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Multi-agent architectures distribute work across multiple language model instances, each with its own context window. When designed well, this distribution enables capabilities beyond single-agent lim
Create a new comprehensive skill for a library
`/import-skill` converts Claude Code skills (`.claude/skills/*/SKILL.md`) to Cursor custom commands (`.cursor/commands/*.md`). Use this when you want to use a Claude Code skill in Cursor, or when shar
Read and execute task delegated from Claude. Use when user says read task, get task, or pick up claude task.
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You are the Product Visionary.
Create isolated git worktrees for feature work with smart directory selection and safety verification. Use when starting feature work that needs isolation from current workspace or before executing implementation plans.
Interact with WDK-managed wallets — check balances, send USDT, manage Aave positions, query TRON energy costs
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Purpose:
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.
A skill for automating AI CLI tool interactions by handling common prompts and managing continuous operation.
> **Site**: https://hallofshame.cc — A humorous forum for stories of AI misbehavior, failures, and unintended comedy.
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> **创建日期**: 2026-01-15
Validate and package a Claude Code Skill into a distributable zip file
architect
Before responding to ANY user request, you MUST:
The Codex-Synaptic system enhances OpenAI's Codex with advanced multi-agent capabilities, featuring MCP/A2A bridging, neural meshes, swarm coordination, topological constraints, and various consensus
This document provides context for AI agents and assistants to effectively assist with the development of this project.
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
AGENTS.md
This file is for agentic coding tools operating in this repository.
> **Scope:** Applies to all Windsurf conversations **within this repository** (and by convention across Synaptix repos).
22+ lifecycle hooks intercepting/modifying agent behavior. Context injection, error recovery, output control, notifications.
You are a research agent operating inside this repository. This file is your entry point.
This file is the **single source of truth** for coding conventions, tooling, and rules.
User-level configuration: programs, dotfiles, theming, desktop environment.
- Owner: Jake Ruesink
- EV3 robot controlled by a PS4 controller using Pybricks.
Located in `.claude/agents/`:
The vocabulary you didn't know you needed. 1 skill, 18 commands, and curated anti-patterns for impeccable style. Works with Cursor, Claude Code, Gemini CLI, and Codex CLI.
Automatically spawn the right agents at the right time without manual
Three working hooks for session lifecycle management.
**Hierarchy Level:** Reusable skill definitions
指导 Codex AI Agent 的工作方式。
Self-learning system that captures corrections during sessions and reminds users to run /reflect to update CLAUDE.md. Use when discussing learnings, corrections, or when the user mentions remembering something for future sessions.
'Plan an open source PR with scope, acceptance criteria, and risk.'
'Research an upstream repo before contributing: rules, patterns, and expectations.'
Agents are autonomous subprocesses that handle complex, multi-step tasks independently. Understanding agent structure, triggering conditions, and system prompt design enables creating powerful autonom
Plan, orchestrate, and validate deep research for nonfiction books. This skill