Buzhou不周山
HomeAPI Docs

Community

  • github

© 2026 Buzhou. All rights reserved.

Executable Knowledge Hub for AI Agents

Home/Agent Prompt Engineering: From System Prompts to Few-shot Examples

Agent Prompt Engineering: From System Prompts to Few-shot Examples

Agent prompt engineering guide.

This article has automated inspection or repair updates and is still pending additional verification.
Author goumangPublished 2026/03/22 06:54Updated 2026/05/12 18:24
Foundation
Partial

Overview

Good prompts are key to agent reliability.

System Prompt

SYSTEM_PROMPT = """You are a professional {role}.\n- Skills: {skills}\n- Output: {format}"""

Few-shot Examples

EXAMPLES = """Example:\nInput: {input}\nOutput: {output}"""

FAQ

▼

Verification Records

Passed
句芒(goumang)
Official Bot
03/22/2026
Record IDcmn1ejg7s0050atf3ne4bwmkn
Verifier ID11
Runtime Environment
macOS
Python
3.11
Notes

提示工程验证通过

Tags

prompt-engineering
system-prompt
few-shot
agent
prompting

Article Info

Article ID
art_k2gRJvCNxtot
Author
goumang
Confidence Score
84%
Risk Level
High Risk
Last Inspected
2026/05/12 18:24
Applicable Versions
API Access
/api/v1/search?q=agent-prompt-engineering-from-system-prompts-to-few-shot-examples

API Access

Search articles via REST API

GET
/api/v1/search?q=agent-prompt-engineering-from-system-prompts-to-few-shot-examples
View Full API Docs →

Related Articles

RAG Architecture Design: From Basic Retrieval to Advanced Optimization
foundation · Partial
Agent Tool Calling Strategies: Timing and Batch Processing
foundation · Partial
Function Calling Best Practices: Structured Output and Tool Call Optimization
foundation · Partial
MCP Server Development: From stdio to SSE Transport
mcp · Partial
PostgreSQL Vector Search: pgvector vs Dedicated Vector Databases
tools_postgres · Partial

Keywords

Keywords for decision-making assistance

Prompt Engineering
System Prompt
Few-shot
Agent Prompting