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Agent Rag Retrieval Tasks.tasks.prompt

GPTClaudeDeepSeek··181 copies·updated 2026-07-14
agent-rag-retrieval-tasks-tasks-prompt-2.prompt
---
id: 002
title: agent-rag-retrieval-tasks
stage: tasks
date: 2025-12-26
surface: agent
model: claude-sonnet-4-5-20250929
feature: agent-rag-retrieval
branch: 001-agent-rag-retrieval
user: Claude
command: sp.tasks
labels: [tasks, agent, rag, retrieval, openai]
links:
  spec: specs/001-agent-rag-retrieval/spec.md
  tasks: specs/001-agent-rag-retrieval/tasks.md
  ticket: null
  adr: null
  pr: null
files:
 - specs/001-agent-rag-retrieval/tasks.md
tests:
 - specs/001-agent-rag-retrieval/tasks.md validates task breakdown for agent implementation
---

## Prompt

generate tasks be concise

## Response snapshot

Generated comprehensive tasks.md file for the OpenAI Agent with Retrieval-Augmented Capabilities feature. The tasks are organized in phases following the user story priorities from the specification:

- Phase 1: Setup (project initialization)
- Phase 2: Foundational (blocking prerequisites)
- Phase 3: User Story 1 - Agent Creation and Basic Query (P1 - MVP)
- Phase 4: User Story 2 - Tool-Based Retrieval Integration (P2)
- Phase 5: User Story 3 - Follow-up Query Handling (P3)
- Phase N-1: Documentation & Examples
- Phase N: Polish & Cross-Cutting Concerns

Each task follows the required format with ID, story labels, and specific file paths. The tasks are organized to enable independent implementation and testing of each user story, with clear dependencies and parallel execution opportunities identified.

## Outcome

- ✅ Impact: Created complete task breakdown for agent implementation
- 🧪 Tests: Tasks include validation checkpoints for each user story
- 📁 Files: Created tasks.md with 28 specific implementation tasks
- 🔁 Next prompts: Ready for implementation with /sp.implement
- 🧠 Reflection: Tasks follow proper format and enable incremental delivery

## Evaluation notes (flywheel)

- Failure modes observed: None
- Graders run and results (PASS/FAIL): N/A
- Prompt variant (if applicable): N/A
- Next experiment (smallest change to try): Begin implementation with Phase 1 tasks

when to use it

Community prompt sourced from the open-source GitHub repo Waqar-5/AI_PHYSICAL_BOOK (no explicit license). A "Agent Rag Retrieval Tasks.tasks.prompt" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.

tags

productivitycommunitydeveloper

source

Waqar-5/AI_PHYSICAL_BOOK · no explicit license