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/*

Weekly backlog pass. Three lists. You decide what actually happens

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Analyze cost drivers and recommend cost-sharing updates.

Follow the instructions in [workflow.md](workflow.md).

Search your local AI coding assistant prompt history across Claude Code, Codex, Gemini CLI, and OpenCode. Use when you need to find a previous chat, recover an old prompt, or identify which session contained a topic.

- `main` 브랜치에 코드 푸시 시 GitHub Actions를 통해 `gh-pages` 브랜치로 자동 배포.

AI film producer for budget management, production oversight, scheduling coordination, team management. Use when: producing films, budget decisions, production planning, team coordination, greenlighting. Keywords: film, producing, budget, production, management.

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Upgrade dependencies with a bias toward compatibility, verification, and rollback clarity. Use when bumping libraries, SDKs, frameworks, or transitive packages that may affect behavior.

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Turns rough launch notes into short release briefs and checklists

> Sovereign autonomous AI work agent. Powered by xDragon / Archon Nexus infrastructure.

crea presentaciones usando el framework Reveals de Javascript

Claw Drive — AI-managed personal drive for OpenClaw. Auto-categorize, tag, deduplicate, and retrieve files with natural language. Backed by Google Drive for cloud sync and security. Use when receiving files to store, or when asked to find/retrieve a previously stored file.

[](https://gptcall.net/chat.html?data=%7B%22contact%22%3A%7B%22id%22%3A%22aaI_8lZxNmzX

An example of creating a skill for Alice in two programming languages: Python and Node.js As an example, we'll create an Alice's skill called <q>Parrot</q> that will repeat everything the user writes or says.

Describes the publishing process for Cortana skills and how to deploy skills to self, group, and world.

Structured methodology for objectively evaluating, comparing, and selecting AI tools for vendor replacement initiatives, ensuring data-driven decisions.

Read ~/fazm/inbox/skill/AGENT-VOICE.md first — it has your persona, tone rules, examples, and investigation workflow.

Read ~/fazm/inbox/skill/AGENT-VOICE.md first for persona, tone rules, and investigation workflow.

Expertise in negotiating favorable terms with AI vendors, optimizing contracts, managing commercial relationships, and ensuring value alignment throughout the vendor lifecycle.

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Use when researching GitHub repositories, code patterns, issues, discussions, and implementations - provides systematic 6-phase workflow with gh CLI (primary) and web fallback, quality indicators for repository assessment, and structured synthesis with citations

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Foundational patterns for distributed systems — consensus, consistency models, replication, partitioning, clock synchronization, distributed transactions, and failure modes. Use when designing or evaluating any system that spans multiple nodes, processes, or failure domains.

Domain patterns for peer-to-peer system architecture — network topologies, NAT traversal, peer discovery, data distribution, consistency without central authority, identity and trust, and incentive mechanisms. Use when designing or evaluating a decentralized, peer-to-peer, or mesh-networked system.

Domain patterns for edge computing and offline-first systems — sync protocols, conflict resolution under partition, local-first architecture, constrained resources, intermittent connectivity, and failure modes. Use when designing or evaluating mobile apps, IoT systems, field-deployed software, or any system that must work without reliable network access.

An AI agent is a system that uses a language model as its reasoning engine to decide what actions to take, execute those actions, observe the results, and iterate until a task is complete. While a sta

- Do not commit automatically. Only commit when explicitly asked.

This repository contains a hard real-time OS project. Changes must preserve determinism, explicit invariants, and reproducible workflows.

This workspace is home. Treat it that way.

This repository implements the deterministic runtime layer for GitHub-backed agentic development orchestration.

Dados, privacidade e política

Presentational placeholder view for incomplete later onboarding steps.

Purpose: fast rules for coding agents in this repo.

Instructions for Codex or other agents working in this repo.

**Status**: Approved

AI-powered agents appear on-chain, from trading bots to DAO participants, raising big questions.

>These rules define how the agent should communicate, act, and collaborate with the user during development and automation tasks.The objective is to maintain clarity, reliability, and discipline while

<!-- gitnexus:start -->

**Type:** Deterministic Agent (Pricing & Quoting)

Gerencie agentes isolados (workspaces + autenticação + roteamento).

**Research Date**: 2026-01-21

- For Python development assume `uv` to be installed. Assume Python versions to be installed and maintained via `uv python install`.

Repository-level operating rules for Codex and collaborators.

To create or edit subagents, use the **agent-kit:claude-agent-development** skill.

- Agents extend `LlmAgent` or `BaseAgent`

I want to develop features in parallel using Git worktrees and subagents: $ARGUMENTS