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Agent skill

Prompt Engineering Patterns

by ynulihao in ynulihao/AgentSkillOS

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.

No licenceAuto-check passedAI & LLM Engineering

Install Prompt Engineering Patterns

skills CLI
$ npx skills add ynulihao/AgentSkillOS --skill prompt-engineering-patterns -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ynulihao/AgentSkillOS prompt-engineering-patterns --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ynulihao/AgentSkillOS.git skills-src && mkdir -p .claude/skills && cp -r skills-src/data/skill_seeds/prompt-engineering-patterns .claude/skills/prompt-engineering-patterns && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
prompt-engineering-patterns
GitHub stars
617
Used in
15 other repos
Token cost
~1.7k tokens
SKILL.md length
593 words
Files
1
Skills in repo
26
Repo updated
First seen
Licence
None found

At a glance

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.

  • Works in 5 steps: Few-Shot Learning → Chain-of-Thought Prompting → Prompt Optimization → …
  • Optimizing prompts
  • SKILL.md covers When to Use This Skill, Core Capabilities, Quick Start and Key Patterns, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Prompt Engineering Patterns is an agent skill from ynulihao/AgentSkillOS. Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering, covering Prompt engineering. The repository describes itself as: Build your agent from 200,000+ skills via skill RETRIEVAL & ORCHESTRATION.

When your agent uses it

  • Optimizing prompts
  • Improving LLM outputs
  • Designing production prompt templates

Example prompts

  • “/prompt-engineering-patterns”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Few-Shot Learning
  2. Chain-of-Thought Prompting
  3. Prompt Optimization
  4. Template Systems
  5. System Prompt Design

What it can do on your machine

Read from SKILL.md and the folder at commit c3cfae1. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are python).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Prompt Engineering Patterns loads about 1.7k tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 593 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~61
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 593 words (~1,743 tokens).

“Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability.”

— opening of SKILL.md by ynulihao
name
prompt-engineering-patterns

Read the full SKILL.md on GitHub

Files

Just SKILL.md in data/skill_seeds/prompt-engineering-patterns of ynulihao/AgentSkillOS.

Open the folder on GitHubat commit c3cfae1

Used in 15 other repositories

We found 47 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 15 other GitHub owners. This page covers the copy in ynulihao/AgentSkillOS, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Prompt Engineering Patterns next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Prompt Engineering Patterns compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Prompt Engineering Patterns this skillynulihao/AgentSkillOS61715 repos~1.7kAutomated safety check: PassNone
Prompt Improverseverity1/claude-code-prompt-improver1.9k2 repos~1.7kAutomated safety check: PassMIT
Patch CreationPiebald-AI/tweakcc2.5k—~1.6kAutomated safety check: PassMIT
LLM Application DevMoizIbnYousaf/ai-agent-skills1.1k2 repos~1.3kAutomated safety check: PassMIT
Senior Prompt Engineermaslennikov-ig/claude-code-orchestrator-kit2604 repos~1.4kAutomated safety check: PassCustom licence
Codex Fable5baskduf/FableCodex437—~1.6kAutomated safety check: PassAGPL-3.0

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  • Prompt Improver

    severity1/claude-code-prompt-improver

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    1.9k GitHub starsUsed in 2 repos~1.7k tokens
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Categories

Questions about Prompt Engineering Patterns

What does Prompt Engineering Patterns do?

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Prompt Engineering Patterns is an agent skill from ynulihao/AgentSkillOS. Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.

When should I use Prompt Engineering Patterns?

Prompt Engineering Patterns fits situations like: optimizing prompts; improving LLM outputs; designing production prompt templates.

How do I install Prompt Engineering Patterns in Claude Code?

Run `npx skills add ynulihao/AgentSkillOS --skill prompt-engineering-patterns -a claude-code`. Or copy the skill folder (data/skill_seeds/prompt-engineering-patterns in ynulihao/AgentSkillOS) into .claude/skills/prompt-engineering-patterns in your project. Claude Code loads it when a task matches its description.

How do I install Prompt Engineering Patterns in Codex?

Run `npx skills add ynulihao/AgentSkillOS --skill prompt-engineering-patterns -a codex`. Or copy the skill folder (data/skill_seeds/prompt-engineering-patterns in ynulihao/AgentSkillOS) into .agents/skills/prompt-engineering-patterns in your project. Codex loads it when a task matches its description.

Can I use Prompt Engineering Patterns in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ynulihao/AgentSkillOS --skill prompt-engineering-patterns -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prompt-engineering-patterns, .gemini/skills/prompt-engineering-patterns, .github/skills/prompt-engineering-patterns and .opencode/skills/prompt-engineering-patterns in your project.

What does Prompt Engineering Patterns need to run?

SKILL.md names no scripts, command-line tools or credentials: Prompt Engineering Patterns is instructions for the agent only. Our summary lists: Python 3.

Does Prompt Engineering Patterns access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Prompt Engineering Patterns safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Prompt Engineering Patterns use?

No licence was found for Prompt Engineering Patterns or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Prompt Engineering Patterns use?

About 1.7k tokens (SKILL.md is roughly 7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Prompt Engineering Patterns?

Skills that share tags, products or a category with Prompt Engineering Patterns: Prompt Improver (severity1/claude-code-prompt-improver, 1.9k stars), Patch Creation (Piebald-AI/tweakcc, 2.5k stars), LLM Application Dev (MoizIbnYousaf/ai-agent-skills, 1.1k stars) and Senior Prompt Engineer (maslennikov-ig/claude-code-orchestrator-kit, 260 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Prompt Engineering Patterns?

ynulihao (a GitHub user) maintains it in ynulihao/AgentSkillOS, which has 617 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on March 7, 2026.

Source: ynulihao/AgentSkillOS on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.