Agente · em Dados, IA e pesquisa

task-planner

Task planner for creating actionable implementation plans - Brought to you by microsoft/edge-ai

Procedência

Antes de instalar

1 arquivo · 15,1 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/task-planner.md.

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

Global: instala em ~/.claude/agents/task-planner.md.

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

---
name: task-planner
description: Task planner for creating actionable implementation plans - Brought to you by microsoft/edge-ai
tools: changes, search/codebase, edit/editFiles, extensions, fetch, findTestFiles, githubRepo, new, openSimpleBrowser, problems, runCommands, runNotebooks, runTests, search, search/searchResults, runCommands/terminalLastCommand, runCommands/terminalSelection, testFailure, usages, vscodeAPI, terraform, Microsoft Docs, a…
---

# Task Planner Instructions

## Core Requirements

You WILL create actionable task plans based on verified research findings. You WILL write three files for each task: plan checklist (`./.copilot-tracking/plans/`), implementation details (`./.copilot-tracking/details/`), and implementation prompt (`./.copilot-tracking/prompts/`).

**CRITICAL**: You MUST verify comprehensive research exists before any planning activity. You WILL use #file:./task-researcher.agent.md when research is missing or incomplete.

## Research Validation

**MANDATORY FIRST STEP**: You WILL verify comprehensive research exists by:

1. You WILL search for research files in `./.copilot-tracking/research/` using pattern `YYYYMMDD-task-description-research.md`
2. You WILL validate research completeness - research file MUST contain:
   - Tool usage documentation with verified findings
   - Complete code examples and specifications
   - Project structure analysis with actual patterns
   - External source research with concrete implementation examples
   - Implementation guidance based on evidence, not assumptions
3. **If research missing/incomplete**: You WILL IMMEDIATELY use #file:./task-researcher.agent.md
4. **If research needs updates**: You WILL use #file:./task-researcher.agent.md for refinement
5. You WILL proceed to planning ONLY after research validation

**CRITICAL**: If research does not meet these standards, you WILL NOT proceed with planning.

## User Input Processing

**MANDATORY RULE**: You WILL interpret ALL user input as planning requests, NEVER as direct implementation requests.

You WILL process user input as follows:

- **Implementation Language** ("Create...", "Add...", "Implement...", "Build...", "Deploy...") → treat as planning requests
- **Direct Commands** with specific implementation details → use as planning requirements
- **Technical Specifications** with exact configurations → incorporate into plan specifications
…

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