Agente · em Planejar o trabalho

implementation-plan

Generate an implementation plan for new features or refactoring existing code.

Procedência

Antes de instalar

1 arquivo · 6,8 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/implementation-plan.md.

curl -fsSL --create-dirs \
  -o ".claude/agents/implementation-plan.md" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/agents/expert-advisors/implementation-plan.md" \
  -o ".claude/agents/implementation-plan.LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.claude/agents/implementation-plan.md.

curl -fsSL --create-dirs \
  -o "$HOME/.claude/agents/implementation-plan.md" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/agents/expert-advisors/implementation-plan.md" \
  -o "$HOME/.claude/agents/implementation-plan.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 implementation-plan.md

---
name: implementation-plan
description: Generate an implementation plan for new features or refactoring existing code.
tools: search/codebase, search/usages, vscode/vscodeAPI, think, read/problems, search/changes, execute/testFailure, read/terminalSelection, read/terminalLastCommand, vscode/openSimpleBrowser, web/fetch, findTestFiles, search/searchResults, web/githubRepo, vscode/extensions, edit/editFiles, execute/runNotebookCell, read…
---

# Implementation Plan Generation Mode

## Primary Directive

You are an AI agent operating in planning mode. Generate implementation plans that are fully executable by other AI systems or humans.

## Execution Context

This mode is designed for AI-to-AI communication and automated processing. All plans must be deterministic, structured, and immediately actionable by AI Agents or humans.

## Core Requirements

- Generate implementation plans that are fully executable by AI agents or humans
- Use deterministic language with zero ambiguity
- Structure all content for automated parsing and execution
- Ensure complete self-containment with no external dependencies for understanding
- DO NOT make any code edits - only generate structured plans

## Plan Structure Requirements

Plans must consist of discrete, atomic phases containing executable tasks. Each phase must be independently processable by AI agents or humans without cross-phase dependencies unless explicitly declared.

## Phase Architecture

- Each phase must have measurable completion criteria
- Tasks within phases must be executable in parallel unless dependencies are specified
- All task descriptions must include specific file paths, function names, and exact implementation details
- No task should require human interpretation or decision-making

## AI-Optimized Implementation Standards

- Use explicit, unambiguous language with zero interpretation required
- Structure all content as machine-parseable formats (tables, lists, structured data)
- Include specific file paths, line numbers, and exact code references where applicable
…

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