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This entry duplicates prompt-engineering, which is the one we list in search.

prompt-engineering

Write strong prompts for LLMs — direct model calls, single tool-using agents, and multi-agent systems.

Skill by rcmoynihan

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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/rcmoynihan-prompt-engineering-219541

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Write strong prompts for LLMs — direct model calls, single tool-using agents, and multi-agent systems. Covers the core stance (specificity and completeness over brevity), prompt anatomy and ordering, the high-leverage techniques (be specific, give context and the why, positive instructions, multishot examples, let the model think, XML tags, system/role prompts, output formats and structured outputs, prompt chaining, guardrails), how prompting changes across execution modes (direct call vs single agent vs orchestrator vs worker), and iterating empirically with evals. Use when authoring, reviewing, or debugging a prompt or system prompt for any LLM feature or agent.

Use cases: ml, writing, agent-building

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What's inside

Skill name
prompt-engineering
Description
Write strong prompts for LLMs — direct model calls, single tool-using agents, and multi-agent systems. Covers the core stance (specificity and completeness over brevity), prompt anatomy and ordering, the high-leverage techniques (be specific, give context and the why, positive instructions, multishot examples, let the model think, XML tags, system/role prompts, output formats and structured outputs, prompt chaining, guardrails), how prompting changes across execution modes (direct call vs single agent vs orchestrator vs worker), and iterating empirically with evals. Use when authoring, reviewing, or debugging a prompt or system prompt for any LLM feature or agent.
License
unknown
Instructions
241 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub

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Last commit (this folder)
Sep 4, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
License unknown
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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prompt-engineering skill. Agent Mart. https://agentmart.dev/skills/rcmoynihan-prompt-engineering-219541 (last updated 2026-10-24)