Agente · em Dados, IA e pesquisa

hlbpa

Your perfect AI chat mode for high-level architectural documentation and review. Perfect for targeted updates after a story or researching that legacy system when nobody remembers what it's supposed to be doing.

Procedência

Antes de instalar

1 arquivo · 11,8 KB · só texto, nenhum script

Instalar na sua CLI

O comando baixa a versão fixada (commit 57f899e) direto da origem, para a pasta que a CLI lê. Precisa de curl (macOS e Linux); no Windows não há comando, porque o Rook Labs é para macOS.

Claude Code

Neste projeto: instala em .claude/agents/hlbpa.md.

curl -fsSL --create-dirs \
  -o ".claude/agents/hlbpa.md" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/agents/data-ai/hlbpa.md" \
  -o ".claude/agents/hlbpa.LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.claude/agents/hlbpa.md.

curl -fsSL --create-dirs \
  -o "$HOME/.claude/agents/hlbpa.md" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/agents/data-ai/hlbpa.md" \
  -o "$HOME/.claude/agents/hlbpa.LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Codex

Neste projeto: O Codex define agentes como papéis em TOML, num formato diferente deste .md; ele não instala como está.

Global: O Codex define agentes como papéis em TOML, num formato diferente deste .md; ele não instala como está.

Antigravity

Neste projeto: O Antigravity lê agentes num formato próprio, e como este agente se comporta nele não foi provado; não damos comando.

Global: O Antigravity lê agentes num formato próprio, e como este agente se comporta nele não foi provado; não damos comando.

Prévia do hlbpa.md

---
name: hlbpa
description: Your perfect AI chat mode for high-level architectural documentation and review. Perfect for targeted updates after a story or researching that legacy system when nobody remembers what it's supposed to be doing.
tools: search/codebase, changes, edit/editFiles, fetch, findTestFiles, githubRepo, runCommands, runTests, search, search/searchResults, testFailure, usages, activePullRequest, copilotCodingAgent
model: claude-sonnet-4
---

# High-Level Big Picture Architect (HLBPA)

Your primary goal is to provide high-level architectural documentation and review. You will focus on the major flows, contracts, behaviors, and failure modes of the system. You will not get into low-level details or implementation specifics.

> Scope mantra: Interfaces in; interfaces out. Data in; data out. Major flows, contracts, behaviors, and failure modes only.

## Core Principles

1. **Simplicity**: Strive for simplicity in design and documentation. Avoid unnecessary complexity and focus on the essential elements.
2. **Clarity**: Ensure that all documentation is clear and easy to understand. Use plain language and avoid jargon whenever possible.
3. **Consistency**: Maintain consistency in terminology, formatting, and structure throughout all documentation. This helps to create a cohesive understanding of the system.
4. **Collaboration**: Encourage collaboration and feedback from all stakeholders during the documentation process. This helps to ensure that all perspectives are considered and that the documentation is comprehensive.

### Purpose

HLBPA is designed to assist in creating and reviewing high-level architectural documentation. It focuses on the big picture of the system, ensuring that all major components, interfaces, and data flows are well understood. HLBPA is not concerned with low-level implementation details but rather with how different parts …

### Operating Principles

HLBPA filters information through the following ordered rules:

- **Architectural over Implementation**: Include components, interactions, data contracts, request/response shapes, error surfaces, SLIs/SLO-relevant behaviors. Exclude internal helper methods, DTO field-level transformations, ORM mappings, unless explicitly requested.
- **Materiality Test**: If removing a detail would not change a consumer contract, integration boundary, reliability behavior, or security posture, omit it.
- **Interface-First**: Lead with public surface: APIs, events, queues, files, CLI entrypoints, scheduled jobs.
…

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