AgentSkillsCN

meta-load-prompting-docs

利用Firecrawl抓取最新版精英提示词工程文档。

SKILL.md
--- frontmatter
name: meta-load-prompting-docs
description: Use firecrawl to scrape the latest version of elite prompt engineering documentation.
disable-model-invocation: true

Use firecrawl to scrape the latest version of elite prompt engineering and context engineering documentation:

Engineering blog posts

  • https://www.anthropic.com/engineering/effective-context-engineering-for-ai-agents - Effective context engineering for AI agents
  • https://www.anthropic.com/engineering/claude-code-best-practices - Claude Code best practices for agentic coding

Prompt engineering documentation

  • https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/overview - Prompt engineering overview
  • https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/claude-4-best-practices - Claude 4.5 prompt engineering best practices
  • https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/extended-thinking-tips - Extended thinking strategies
  • https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/long-context-tips - Long context window tips (200K+ tokens)
  • https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/prompt-improver - Prompt improver tool documentation

Context management

  • https://platform.claude.com/docs/en/build-with-claude/context-editing - Context editing (beta) for managing conversation context
  • https://platform.claude.com/docs/en/build-with-claude/context-windows - Understanding context windows

External resources

  • https://github.com/anthropics/prompt-eng-interactive-tutorial - Anthropic's interactive prompt engineering tutorial
  • https://www.promptingguide.ai/guides/optimizing-prompts - General prompt optimization guide

Use this information to optimally understand and apply current best practices for prompt engineering and context engineering, with particular emphasis on:

  • Designing effective system prompts for coding agents
  • Context management, curation, and compaction strategies
  • Extended thinking mode configuration and optimization
  • Long-horizon reasoning and state tracking
  • Tool usage patterns and parallel execution
  • Minimizing hallucinations and maximizing instruction following
  • Optimizing for Claude Code 2.1.x and Claude 4.5 model family performance