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prompt-engineering
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By ancoleman/ai-design-components (GitHub) · design · 530 stars · scanned at commit 76551b7
Engineer effective LLM prompts using zero-shot, few-shot, chain-of-thought, and structured output techniques. Use when building LLM applications requiring reliable outputs, implementing RAG systems, creating AI agents, or optimizing prompt quality and cost. Covers OpenAI, Anthropic, and open-source models with multi-language examples (Python/TypeScript).
Works with any agent that supports SKILL.md skills.
What this skill can do
Can call paid AI services billed to you
The author does not mention this.
Found in 34 places.
Show 17 more
- skills/prompt-engineering/examples/anthropic-examples.py, line 21
import anthropic - skills/prompt-engineering/examples/openai-examples.py, line 22
from openai import OpenAI - skills/prompt-engineering/examples/rag-complete-example.py, line 24
from openai import OpenAI - skills/prompt-engineering/references/chain-of-thought.md, line 58
from openai import OpenAI - skills/prompt-engineering/references/chain-of-thought.md, line 132
import anthropic - skills/prompt-engineering/references/chain-of-thought.md, line 350
from openai import OpenAI - skills/prompt-engineering/references/chain-of-thought.md, line 393
import anthropic - skills/prompt-engineering/references/few-shot-learning.md, line 179
from openai import OpenAI - skills/prompt-engineering/references/few-shot-learning.md, line 219
import anthropic - skills/prompt-engineering/references/multi-model-portability.md, line 126
from openai import OpenAI - skills/prompt-engineering/references/multi-model-portability.md, line 141
from anthropic import Anthropic - skills/prompt-engineering/references/multi-model-portability.md, line 183
import google.generativeai as genai - skills/prompt-engineering/references/multi-model-portability.md, line 331
import google.generativeai as genai - skills/prompt-engineering/references/multi-model-portability.md, line 581
from openai import OpenAI - skills/prompt-engineering/references/multi-model-portability.md, line 582
from anthropic import Anthropic - skills/prompt-engineering/references/multi-model-portability.md, line 583
import google.generativeai as genai - skills/prompt-engineering/references/prompt-chaining.md, line 43
from openai import OpenAI
and 14 more places
Sends data to these websites: api.openai.com, api.anthropic.com, generativelanguage.googleapis.com
The author does not mention this.
Found in 34 places.
Show 17 more
- skills/prompt-engineering/examples/anthropic-examples.py, line 21
import anthropic - skills/prompt-engineering/examples/openai-examples.py, line 22
from openai import OpenAI - skills/prompt-engineering/examples/rag-complete-example.py, line 24
from openai import OpenAI - skills/prompt-engineering/references/chain-of-thought.md, line 58
from openai import OpenAI - skills/prompt-engineering/references/chain-of-thought.md, line 132
import anthropic - skills/prompt-engineering/references/chain-of-thought.md, line 350
from openai import OpenAI - skills/prompt-engineering/references/chain-of-thought.md, line 393
import anthropic - skills/prompt-engineering/references/few-shot-learning.md, line 179
from openai import OpenAI - skills/prompt-engineering/references/few-shot-learning.md, line 219
import anthropic - skills/prompt-engineering/references/multi-model-portability.md, line 126
from openai import OpenAI - skills/prompt-engineering/references/multi-model-portability.md, line 141
from anthropic import Anthropic - skills/prompt-engineering/references/multi-model-portability.md, line 183
import google.generativeai as genai - skills/prompt-engineering/references/multi-model-portability.md, line 331
import google.generativeai as genai - skills/prompt-engineering/references/multi-model-portability.md, line 581
from openai import OpenAI - skills/prompt-engineering/references/multi-model-portability.md, line 582
from anthropic import Anthropic - skills/prompt-engineering/references/multi-model-portability.md, line 583
import google.generativeai as genai - skills/prompt-engineering/references/prompt-chaining.md, line 43
from openai import OpenAI
and 14 more places
Downloads and installs other software
The author does not mention this.
Found in 11 places.
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Install
Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.
if [ -e ~/.agents/skills/'prompt-engineering' ] || [ -L ~/.agents/skills/'prompt-engineering' ]; then echo 'A skill folder named prompt-engineering already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/ancoleman/ai-design-components' "$d" && git -C "$d" checkout --quiet '76551b7b19ebc667764ec75da14990d0aef8b6e5' -- 'skills/prompt-engineering' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/prompt-engineering' ~/.agents/skills/'prompt-engineering' && rm -rf "$d"; fi
Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'prompt-engineering' ~/.claude/skills/'prompt-engineering' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.
Badge for your README
The badge for ancoleman/ai-design-components shows the score of its lowest-scoring skill.
[](https://zalavijaysinh.github.io/skilltrust/repos/ancoleman/ai-design-components/)
Score history
| Date | Version | Score |
|---|
| 2026-11-08 | 76551b7 | 100 |
| 2026-11-07 | 76551b7 | 50 |