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Agents & Automation prompts

System prompts, agent instructions and automation workflows.

23 prompts
Agents & Automation ⚙ AGENT

Autonomous Coding Agent Operating Rules

Operating instructions for autonomous coding agents (Claude Code, Devin-style): plan before touching files, small verified diffs, honest failure reporting.

✓ Claude Opus 4.5✓ Claude Sonnet 4.5
★ 172⧉ 1490◌ 0LLM Atlas Team · 3mo ago
Agents & Automation ⚙ AGENT

Customer Support Agent — Production System Prompt

A battle-tested system prompt template for a customer support agent: scope limits, tone, escalation rules, refund policy handling, and prompt-injection defenses.

GPT-4o✓ Claude Sonnet 4.5
★ 156⧉ 1320◌ 0LLM Atlas Team · 2mo ago
Agents & Automation ⚙ AGENT

RAG Assistant System Prompt (Grounded, With Citations)

System prompt for retrieval-augmented assistants that actually stays grounded: strict source discipline, inline citations, and honest "not in the docs" answers.

✓ Claude Sonnet 4.5Gemini 2.5 Pro
★ 134⧉ 1105◌ 0LLM Atlas Team · 2mo ago
Agents & Automation ⚙ AGENT

Cursor Rules — TypeScript + React Codebase

A .cursorrules file for TypeScript/React teams: strict typing, React Query for server state, accessibility non-negotiables, and test conventions.

GPT-5Claude Sonnet 4.5
★ 118⧉ 995◌ 0LLM Atlas Team · 2mo ago
Agents & Automation ⚙ AGENT

Structured JSON Extraction System Prompt

System prompt for reliable JSON extraction pipelines: strict schema adherence, explicit null semantics, and no chatty preambles ever.

✓ GPT-4oClaude Haiku 4.5
★ 88⧉ 705◌ 0LLM Atlas Team · 2mo ago
Agents & Automation ⚙ AGENT

Tool-Calling Discipline Prompt

Teaches an agent when to call tools versus answer directly, how to recover from tool errors, and how to avoid redundant or hallucinated calls.

GPT-5Claude Sonnet 4.5
★ 79⧉ 590◌ 0LLM Atlas Team · 1mo ago
Agents & Automation ⚙ AGENT

CLAUDE.md for a Python Backend Team

A CLAUDE.md conventions file for Python/FastAPI services: uv, ruff, pytest, explicit error handling, and the commands an agent needs to verify its work.

Claude Opus 4.5
★ 97⧉ 760◌ 0LLM Atlas Team · 2mo ago
Agents & Automation ⚙ AGENT

Coding Agent Task Briefing Template

A fill-in briefing template that gives a coding agent everything it needs to succeed: context, constraints, done-criteria, and verification commands.

Claude Sonnet 4.5
★ 61⧉ 480◌ 0LLM Atlas Team · 1mo ago
Agents & Automation ⚙ AGENT

System Prompt Red-Team Review

Attacks your system prompt before users do: finds instruction/data confusion, conflicting rules, missing refusal paths, and override ambiguities — and ships concrete attack strings to test.

GPT-5Claude Opus 4.5
★ 47⧉ 335◌ 0LLM Atlas Team · 1mo ago
Agents & Automation ⚙ AGENT

Explore → Plan → Code → Verify Loop for Coding Agents

A phase-gated workflow prompt for coding agents: read before planning, plan before coding, verify before claiming done — with explicit rules for what each phase may and may not do.

✓ Claude Opus 4.5✓ Claude Sonnet 4.5
★ 45⧉ 328◌ 0LLM Atlas Team · 1mo ago
Agents & Automation ⚙ AGENT

Cursor Rules — Next.js App Router (RSC-First)

Project rules for Next.js App Router codebases: server-components-first, server actions with validation, the caching gotchas spelled out, and Tailwind + shadcn conventions.

GPT-5✓ Claude Sonnet 4.5
★ 43⧉ 315◌ 0LLM Atlas Team · 1mo ago
Agents & Automation ⚙ AGENT

LLM-as-Judge — Pairwise Comparison with Bias Controls

A pairwise evaluation judge with the biases engineered out: criterion-by-criterion verdicts, position and length bias countermeasures, and evidence quotes for every judgment.

✓ GPT-5Claude Opus 4.5
★ 44⧉ 318◌ 0LLM Atlas Team · 1mo ago
Agents & Automation ⚙ AGENT

Support Ticket Triage & Draft Reply Engine

Processes inbound support tickets into structured triage JSON plus a grounded draft reply — priority, sentiment, churn and safety flags, and injection-proof handling of ticket content.

Claude Sonnet 4.5✓ Claude Haiku 4.5
★ 40⧉ 289◌ 0LLM Atlas Team · 1mo ago
Agents & Automation ⚙ AGENT

Session Handoff — Context Compaction Summary

Compresses a long working session into a handoff document a fresh agent can continue from — decisions with their reasons, failed approaches preserved, exact next commands.

✓ Claude Sonnet 4.5Claude Haiku 4.5
★ 41⧉ 296◌ 0LLM Atlas Team · 1mo ago
Agents & Automation ⚙ AGENT

RAG Groundedness Verifier (Claim-by-Claim)

The verification stage of a RAG pipeline: decomposes an answer into atomic claims and labels each SUPPORTED, CONTRADICTED, or NOT_FOUND against the sources — inference is not support.

✓ Claude Sonnet 4.5Gemini 2.5 Pro
★ 42⧉ 301◌ 0LLM Atlas Team · 1mo ago
Agents & Automation ⚙ AGENT

Agent Tool Description Writer (MCP / Function Calling)

Writes tool definitions the model can actually use correctly: descriptions that say when NOT to call, parameter docs with formats and examples, and explicit error and idempotency semantics.

GPT-5✓ Claude Sonnet 4.5
★ 39⧉ 281◌ 0LLM Atlas Team · 1mo ago
Agents & Automation ⚙ AGENT

CLAUDE.md — TypeScript Monorepo (pnpm + Turborepo)

A CLAUDE.md for pnpm/Turborepo monorepos: workspace commands that actually work, package boundary rules, changesets, and the do-not list that keeps agents out of trouble.

✓ Claude Opus 4.5Claude Sonnet 4.5
★ 29⧉ 203◌ 0LLM Atlas Team · 1mo ago
Agents & Automation ⚙ AGENT

LLM-as-Judge — Binary Rubric Scoring

Scores a single output against a rubric of binary pass/fail criteria instead of a mushy 1–10 scale — every verdict backed by a quote, unjudgeable criteria refused.

GPT-5Gemini 2.5 Flash
★ 35⧉ 242◌ 0LLM Atlas Team · 1mo ago
Agents & Automation ⚙ AGENT

Orchestrator — Subagent Task Decomposition & Briefs

For lead agents delegating to subagents: decomposes work into genuinely parallel subtasks and writes briefs with objective, boundaries, output contract, and stop conditions — the parts that prevent duplicate and divergent work.

GPT-5Claude Opus 4.5
★ 36⧉ 254◌ 0LLM Atlas Team · 1mo ago
Agents & Automation ⚙ AGENT

Cursor Rules — Modern Python (uv, ruff, pydantic)

Project rules for modern Python: uv-managed, ruff-clean, fully typed, pydantic at the boundaries, pytest conventions — and the anti-patterns spelled out as hard bans.

GPT-5Claude Sonnet 4.5
★ 37⧉ 268◌ 0LLM Atlas Team · 1mo ago
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