Agent skill

Prompt Library

by davila7 in davila7/claude-code-templates

Curated collection of high-quality prompts for various use cases.

MITAuto-check passedAI & LLM Engineering

Install Prompt Library

skills CLI
$ npx skills add davila7/claude-code-templates --skill prompt-library -a claude-code

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

GitHub CLI
$ gh skill install davila7/claude-code-templates prompt-library --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/davila7/claude-code-templates.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cli-tool/components/skills/ai-research/prompt-library .claude/skills/prompt-library && 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-library
GitHub stars
32k
Used in
7 other repos
Token cost
~1.9k tokens
SKILL.md length
178 words
Files
1
Skills in repo
478
Repo updated
First seen
Licence
MIT

At a glance

Curated collection of high-quality prompts for various use cases.

  • User needs prompt templates
  • SKILL.md covers When to Use This Skill, Prompt Categories, Prompt Engineering Techniques and Prompt Improvement Checklist, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Role-play prompts

What it does

Prompt Library is an agent skill from davila7/claude-code-templates. Curated collection of high-quality prompts for various use cases. Includes role-based prompts, task-specific templates, and prompt refinement techniques. Use when user needs prompt templates, role-play prompts, or ready-to-use prompt examples for coding, writing, analysis, or creative tasks.

Its SKILL.md is about 1.9k 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 and Authorization and RBAC. The repository describes itself as: CLI tool for configuring and monitoring Claude Code. The licence is MIT.

When your agent uses it

  • User needs prompt templates
  • Role-play prompts
  • Ready-to-use prompt examples for coding

Example prompts

  • “/prompt-library”

What it can do on your machine

Read from SKILL.md and the folder at commit 46b4d8b. 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.

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

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com
    • prompts.chat
    • learnprompting.org

    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 Library loads about 1.9k tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 178 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~77
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k

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

The full file from davila7/claude-code-templates at commit 46b4d8b, republished under its MIT licence (© davila7). 178 words, ~1,906 tokens.

Download SKILL.mdSave it as .claude/skills/prompt-library/SKILL.md (or your agent's skills folder).
name
prompt-library
description
Curated collection of high-quality prompts for various use cases. Includes role-based prompts, task-specific templates, and prompt refinement techniques. Use when user needs prompt templates, role-play prompts, or ready-to-use prompt examples for coding, writing, analysis, or creative tasks.

📝 Prompt Library

A comprehensive collection of battle-tested prompts inspired by awesome-chatgpt-prompts and community best practices.

When to Use This Skill

Use this skill when the user:

  • Needs ready-to-use prompt templates
  • Wants role-based prompts (act as X)
  • Asks for prompt examples or inspiration
  • Needs task-specific prompt patterns
  • Wants to improve their prompting

Prompt Categories

🎭 Role-Based Prompts
Expert Developer
Act as an expert software developer with 15+ years of experience. You specialize in clean code, SOLID principles, and pragmatic architecture. When reviewing code:
1. Identify bugs and potential issues
2. Suggest performance improvements
3. Recommend better patterns
4. Explain your reasoning clearly
Always prioritize readability and maintainability over cleverness.
Code Reviewer
Act as a senior code reviewer. Your role is to:
1. Check for bugs, edge cases, and error handling
2. Evaluate code structure and organization
3. Assess naming conventions and readability
4. Identify potential security issues
5. Suggest improvements with specific examples

Format your review as:
🔴 Critical Issues (must fix)
🟡 Suggestions (should consider)
🟢 Praise (what's done well)
Technical Writer
Act as a technical documentation expert. Transform complex technical concepts into clear, accessible documentation. Follow these principles:
- Use simple language, avoid jargon
- Include practical examples
- Structure with clear headings
- Add code snippets where helpful
- Consider the reader's experience level
System Architect
Act as a senior system architect designing for scale. Consider:
- Scalability (horizontal and vertical)
- Reliability (fault tolerance, redundancy)
- Maintainability (modularity, clear boundaries)
- Performance (latency, throughput)
- Cost efficiency

Provide architecture decisions with trade-off analysis.
🛠️ Task-Specific Prompts
Debug This Code
Debug the following code. Your analysis should include:

1. **Problem Identification**: What exactly is failing?
2. **Root Cause**: Why is it failing?
3. **Fix**: Provide corrected code
4. **Prevention**: How to prevent similar bugs

Show your debugging thought process step by step.
Explain Like I'm 5 (ELI5)
Explain [CONCEPT] as if I'm 5 years old. Use:
- Simple everyday analogies
- No technical jargon
- Short sentences
- Relatable examples from daily life
- A fun, engaging tone
Code Refactoring
Refactor this code following these priorities:
1. Readability first
2. Remove duplication (DRY)
3. Single responsibility per function
4. Meaningful names
5. Add comments only where necessary

Show before/after with explanation of changes.
Write Tests
Write comprehensive tests for this code:
1. Happy path scenarios
2. Edge cases
3. Error conditions
4. Boundary values

Use [FRAMEWORK] testing conventions. Include:
- Descriptive test names
- Arrange-Act-Assert pattern
- Mocking where appropriate
API Documentation
Generate API documentation for this endpoint including:
- Endpoint URL and method
- Request parameters (path, query, body)
- Request/response examples
- Error codes and meanings
- Authentication requirements
- Rate limits if applicable

Format as OpenAPI/Swagger or Markdown.
📊 Analysis Prompts
Code Complexity Analysis
Analyze the complexity of this codebase:

1. **Cyclomatic Complexity**: Identify complex functions
2. **Coupling**: Find tightly coupled components
3. **Cohesion**: Assess module cohesion
4. **Dependencies**: Map critical dependencies
5. **Technical Debt**: Highlight areas needing refactoring

Rate each area and provide actionable recommendations.
Performance Analysis
Analyze this code for performance issues:

1. **Time Complexity**: Big O analysis
2. **Space Complexity**: Memory usage patterns
3. **I/O Bottlenecks**: Database, network, disk
4. **Algorithmic Issues**: Inefficient patterns
5. **Quick Wins**: Easy optimizations

Prioritize findings by impact.
Security Review
Perform a security review of this code:

1. **Input Validation**: Check all inputs
2. **Authentication/Authorization**: Access control
3. **Data Protection**: Sensitive data handling
4. **Injection Vulnerabilities**: SQL, XSS, etc.
5. **Dependencies**: Known vulnerabilities

Classify issues by severity (Critical/High/Medium/Low).
🎨 Creative Prompts
Brainstorm Features
Brainstorm features for [PRODUCT]:

For each feature, provide:
- Name and one-line description
- User value proposition
- Implementation complexity (Low/Med/High)
- Dependencies on other features

Generate 10 ideas, then rank top 3 by impact/effort ratio.
Name Generator
Generate names for [PROJECT/FEATURE]:

Provide 10 options in these categories:
- Descriptive (what it does)
- Evocative (how it feels)
- Acronyms (memorable abbreviations)
- Metaphorical (analogies)

For each, explain the reasoning and check domain availability patterns.
🔄 Transformation Prompts
Migrate Code
Migrate this code from [SOURCE] to [TARGET]:

1. Identify equivalent constructs
2. Handle incompatible features
3. Preserve functionality exactly
4. Follow target language idioms
5. Add necessary dependencies

Show the migration step by step with explanations.
Convert Format
Convert this [SOURCE_FORMAT] to [TARGET_FORMAT]:

Requirements:
- Preserve all data
- Use idiomatic target format
- Handle edge cases
- Validate the output
- Provide sample verification

Prompt Engineering Techniques

Chain of Thought (CoT)
Let's solve this step by step:
1. First, I'll understand the problem
2. Then, I'll identify the key components
3. Next, I'll work through the logic
4. Finally, I'll verify the solution

[Your question here]
Few-Shot Learning
Here are some examples of the task:

Example 1:
Input: [example input 1]
Output: [example output 1]

Example 2:
Input: [example input 2]
Output: [example output 2]

Now complete this:
Input: [actual input]
Output:
Persona Pattern
You are [PERSONA] with [TRAITS].
Your communication style is [STYLE].
You prioritize [VALUES].

When responding:
- [Behavior 1]
- [Behavior 2]
- [Behavior 3]
Structured Output
Respond in the following JSON format:
{
  "analysis": "your analysis here",
  "recommendations": ["rec1", "rec2"],
  "confidence": 0.0-1.0,
  "caveats": ["caveat1"]
}

Prompt Improvement Checklist

When crafting prompts, ensure:

  • Clear objective: What exactly do you want?
  • Context provided: Background information included?
  • Format specified: How should output be structured?
  • Examples given: Are there reference examples?
  • Constraints defined: Any limitations or requirements?
  • Success criteria: How do you measure good output?

Resources


💡 Tip: The best prompts are specific, provide context, and include examples of desired output.

© davila7, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in cli-tool/components/skills/ai-research/prompt-library of davila7/claude-code-templates.

Open the folder on GitHubat commit 46b4d8b

Used in 7 other repositories

We found 16 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 7 other GitHub owners. This page covers the copy in davila7/claude-code-templates, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Prompt Library 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 Library compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Prompt Library this skilldavila7/claude-code-templates32k7 repos~1.9kAutomated safety check: PassMIT
Microsoft Foundrymicrosoft/GitHub-Copilot-for-Azure2551 repos~6.7kAutomated safety check: PassMIT
Prompt Improverseverity1/claude-code-prompt-improver1.9k1 repos~1.7kAutomated safety check: PassMIT
Prompt Engineering Patternsynulihao/AgentSkillOS61714 repos~1.7kAutomated safety check: PassNone
Patch CreationPiebald-AI/tweakcc2.5k—~1.6kAutomated safety check: PassMIT
Senior Prompt Engineermaslennikov-ig/claude-code-orchestrator-kit2603 repos~1.4kAutomated safety check: PassCustom licence

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Questions about Prompt Library

What does Prompt Library do?

Curated collection of high-quality prompts for various use cases. Prompt Library is an agent skill from davila7/claude-code-templates. Curated collection of high-quality prompts for various use cases.

When should I use Prompt Library?

Prompt Library fits situations like: user needs prompt templates; role-play prompts; ready-to-use prompt examples for coding.

How do I install Prompt Library in Claude Code?

Run `npx skills add davila7/claude-code-templates --skill prompt-library -a claude-code`. Or copy the skill folder (cli-tool/components/skills/ai-research/prompt-library in davila7/claude-code-templates) into .claude/skills/prompt-library in your project. Claude Code loads it when a task matches its description.

How do I install Prompt Library in Codex?

Run `npx skills add davila7/claude-code-templates --skill prompt-library -a codex`. Or copy the skill folder (cli-tool/components/skills/ai-research/prompt-library in davila7/claude-code-templates) into .agents/skills/prompt-library in your project. Codex loads it when a task matches its description.

Can I use Prompt Library 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 davila7/claude-code-templates --skill prompt-library -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-library, .gemini/skills/prompt-library, .github/skills/prompt-library and .opencode/skills/prompt-library in your project.

What does Prompt Library need to run?

SKILL.md names no scripts, command-line tools or credentials: Prompt Library is instructions for the agent only.

Does Prompt Library access the network?

SKILL.md names 3 domains. As links in the text: github.com, prompts.chat and learnprompting.org. This is read from the text; nothing was executed.

Is Prompt Library 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 Library use?

Prompt Library is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Prompt Library use?

About 1.9k tokens (SKILL.md is roughly 7.6k 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 Library?

Skills that share tags, products or a category with Prompt Library: Microsoft Foundry (microsoft/GitHub-Copilot-for-Azure, 255 stars), Prompt Improver (severity1/claude-code-prompt-improver, 1.9k stars), Prompt Engineering Patterns (ynulihao/AgentSkillOS, 617 stars) and Patch Creation (Piebald-AI/tweakcc, 2.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Prompt Library?

davila7 (a GitHub user) maintains it in davila7/claude-code-templates, which has 32,483 GitHub stars. The repository holds 478 skills in this directory. The repository was last updated on October 9, 2026.

Source: davila7/claude-code-templates on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.