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Agent Rag Retrieval Tasks.tasks.prompt

GPTClaudeDeepSeek··▲ 1,176 copies·updated 2026-07-14

agent-rag-retrieval-tasks-tasks-prompt.prompt

---
id: 003
title: agent-rag-retrieval-tasks
stage: tasks
date: 2025-12-28
surface: agent
model: claude-sonnet-4-5-20250929
feature: 001-agent-rag-retrieval
branch: 001-agent-rag-retrieval
user: HAJI LAPTOP
command: sp.tasks
labels: ["tasks", "spec", "agent", "rag"]
links:
  spec: specs/001-agent-rag-retrieval/spec.md
  ticket: null
  adr: null
  pr: null
files:
  - specs/001-agent-rag-retrieval/plan.md
  - specs/001-agent-rag-retrieval/tasks.md
tests:
  - null
---

## Prompt

sp.tasks

## Response snapshot

Generated tasks.md file for the OpenAI Agent with Retrieval-Augmented Capabilities feature based on the spec.md and plan.md files. Created a comprehensive task list organized by user stories with proper dependencies and execution order.

## Outcome

- ✅ Impact: Created comprehensive task list for agent implementation following spec requirements
- 🧪 Tests: No specific tests created, but tasks include testing considerations
- 📁 Files: Updated plan.md and created/updated tasks.md with 28 structured tasks
- 🔁 Next prompts: Ready for implementation of tasks
- 🧠 Reflection: Tasks are well-organized by user story for independent development

## 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 implementing 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.