prompt-engineering
Write strong prompts for LLMs — direct model calls, single tool-using agents, and multi-agent systems.
Skill by rcmoynihan
Chalk Labs
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Install
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
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About
Use cases: ml, writing, agent-building
Reviews
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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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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 4, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- License unknown
- Repository
- github.com/rcmoynihan/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
More from rcmoynihan
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rcmoynihan
Delegate coding tasks to the pi CLI from the shell for second opinions, parallel implementations, and model-specific strengths.
SkillBFreshness: BClaude Code +9 - 0.519score
execute-pr-response-plan
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Execute a response plan produced by plan-pr-comment-responses — implement every comment's TODOs, run the project's tests/validation until green, have pi…
SkillBFreshness: BClaude Code +9 - 0.519score
execute-pr-response-plan
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Execute a response plan produced by plan-pr-comment-responses — implement every comment's TODOs, run the project's tests/validation until green, have Claude…
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plan-pr-comment-responses
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Turn a PR's diff and reviewer comments into a concrete, comment-by-comment plan for addressing them — per-comment decision (implement / alternate / push back…
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code-review
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Multi-persona code review of a branch or PR.
SkillCFreshness: CClaude Code +9 - 0.469score
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Cite this page
prompt-engineering skill. Agent Mart. https://agentmart.dev/skills/rcmoynihan-prompt-engineering-219541 (last updated 2026-10-24)