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prompt-engineering

prompt-engineering is an agent skill published by 101-skills, listed under building agents. It lives in the inference-sh/skills repository, which has 781 GitHub stars; we last read it on 2026-09-16.

Master prompt engineering for AI models: LLMs, image generators, video models. Techniques: chain-of-thought, few-shot, system prompts, negative prompts. Models: Claude, GPT-4, Gemini, FLUX, Veo, Stable Diffusion prompting. Use for: better AI outputs, consistent results, complex tasks, optimization. Triggers: prompt engineering, how to prompt, better prompts, prompt tips, prompting guide, llm prompting, image prompt, ai prompting, prompt optimization, prompt template, prompt structure, effective prompts, prompt techniques

Install

skills is a generic installer for any repository of Claude agent skills -- it reads inference-sh/skills’s own structure rather than assuming one, the same way this page reads the skill’s own SKILL.md rather than assuming a format.

npx skills add inference-sh/skills

Maintenance

Stars
781
State
listed
Licence
—
From the repository

Master prompt engineering for AI models: LLMs, image generators, video models. Techniques: chain-of-thought, few-shot, system prompts, negative prompts. Models: Claude, GPT-4, Gemini, FLUX, Veo, Stable Diffusion prompting. Use for: better AI outputs, consistent results, complex tasks, optimization. Triggers: prompt engineering, how to prompt, better prompts, prompt tips, prompting guide, llm prompting, image prompt, ai prompting, prompt optimization, prompt template, prompt structure, effective prompts, prompt techniques

prompt-engineering compared with similar skills

prompt-engineering compared with other skills for the same job, by publisher, what it does, repository stars and last update
SkillPublisherWhat it doesRepo starsLast update
prompt-engineering (this page)101-skillsMaster prompt engineering for AI models: LLMs, image generators, video models. Techniques: chain-of-thought,…7812026-10-15
python-sdk(same repository)101-skillsPython SDK for inference.sh - run AI apps, build agents, and integrate with all models. Package: inferencesh…7812026-10-15
widgets-ui(same repository)101-skillsDeclarative UI widgets from JSON for React/Next.js from ui.inference.sh. Render rich interactive UIs from str…7812026-10-15
claude-handoffmattpocockHand the current conversation off to a fresh background agent that picks up the work immediately.303,5492026-10-22
context-engineeringaddyosmaniOptimizes agent context setup. Use when starting a new session, when agent output quality degrades, when swit…110,6112026-10-13
using-agent-skillsaddyosmaniDiscovers and invokes agent skills. Use when starting a session, or when you need to decide which skill or wo…110,6112026-10-13
agent-platform-inferencegoogleConnects to and performs inference with Google Cloud Agent Platform GenAI models, including First-Party Gemin…21,5802026-10-25

Skills from the same repository first, then others for this job by repository stars. Figures are from each repository when we last read it.

Common questions about prompt-engineering

What does prompt-engineering do?
Master prompt engineering for AI models: LLMs, image generators, video models. Techniques: chain-of-thought, few-shot, system prompts, negative prompts. Models: Claude, GPT-4, Gemini, FLUX, Veo, Stable Diffusion prompting. Use for: better AI outputs, consistent results, complex tasks, optimization. Triggers: prompt engineering, how to prompt, better prompts, prompt tips, prompting guide, llm prompting, image prompt, ai prompting, prompt optimization, prompt template, prompt structure, effective prompts, prompt techniques
How do I install prompt-engineering?
Run npx skills add inference-sh/skills. The skills installer reads the repository’s own structure, so it works for any repository of agent skills.
Who publishes prompt-engineering?
101-skills.
Is prompt-engineering maintained, and what licence does it use?
Its repository has 781 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-10-15. We did not find a declared licence, so check the repository before you rely on it.

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