Agent skill

Prompt Improver

by happycapy-ai in happycapy-ai/Happycapy-skills

Optimize prompts for better AI responses. An agent skill from happycapy-ai/Happycapy-skills.

MITAuto-check passedAI & LLM Engineering

Install Prompt Improver

skills CLI

$ npx skills add happycapy-ai/Happycapy-skills --skill prompt-improver -a claude-code

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

GitHub CLI

$ gh skill install happycapy-ai/Happycapy-skills prompt-improver --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/happycapy-ai/Happycapy-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/prompt-improver .claude/skills/prompt-improver && 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/

Paste into Claude Code

Install the "prompt-improver" agent skill from https://github.com/happycapy-ai/Happycapy-skills/tree/main/skills/prompt-improver into .claude/skills/prompt-improver/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-improver", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/happycapy-ai/Happycapy-skills/tree/main/skills/prompt-improver

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add happycapy-ai/Happycapy-skills --skill prompt-improver -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install happycapy-ai/Happycapy-skills prompt-improver --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/happycapy-ai/Happycapy-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/prompt-improver .agents/skills/prompt-improver && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "prompt-improver" agent skill from https://github.com/happycapy-ai/Happycapy-skills/tree/main/skills/prompt-improver into .agents/skills/prompt-improver/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-improver", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add happycapy-ai/Happycapy-skills --skill prompt-improver -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install happycapy-ai/Happycapy-skills prompt-improver --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/happycapy-ai/Happycapy-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/prompt-improver .cursor/skills/prompt-improver && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "prompt-improver" agent skill from https://github.com/happycapy-ai/Happycapy-skills/tree/main/skills/prompt-improver into .cursor/skills/prompt-improver/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-improver", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/happycapy-ai/Happycapy-skills.git --path skills/prompt-improver

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add happycapy-ai/Happycapy-skills --skill prompt-improver -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install happycapy-ai/Happycapy-skills prompt-improver --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/happycapy-ai/Happycapy-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/prompt-improver .gemini/skills/prompt-improver && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "prompt-improver" agent skill from https://github.com/happycapy-ai/Happycapy-skills/tree/main/skills/prompt-improver into .gemini/skills/prompt-improver/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-improver", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install happycapy-ai/Happycapy-skills prompt-improver

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add happycapy-ai/Happycapy-skills --skill prompt-improver -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/happycapy-ai/Happycapy-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/prompt-improver .github/skills/prompt-improver && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "prompt-improver" agent skill from https://github.com/happycapy-ai/Happycapy-skills/tree/main/skills/prompt-improver into .github/skills/prompt-improver/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-improver", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add happycapy-ai/Happycapy-skills --skill prompt-improver -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install happycapy-ai/Happycapy-skills prompt-improver --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/happycapy-ai/Happycapy-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/prompt-improver .opencode/skills/prompt-improver && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "prompt-improver" agent skill from https://github.com/happycapy-ai/Happycapy-skills/tree/main/skills/prompt-improver into .opencode/skills/prompt-improver/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-improver", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: prompt-improver
GitHub stars: 137
Token cost: ~1.1k tokens
SKILL.md length: 302 words
Files: 11 (incl. references)
Skills in repo: 28
Repo updated: Sep 3, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Optimize prompts for better AI responses. An agent skill from happycapy-ai/Happycapy-skills.

Works in 5 steps: Gather context - Use AskUserQuestion to… → Analyze - Identify what's unclear,… → Improve - Apply the framework (see… → …
User asks to improve a prompt
SKILL.md covers Workflow, AskUserQuestion Templates, Output Format and Quick Mode, plus 2 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Prompt Improver is an agent skill from happycapy-ai/Happycapy-skills. Optimize prompts for better AI responses. Use when user asks to improve a prompt, refine a prompt, make a prompt better, optimize prompting, review their prompt, or says "/improve-prompt". Transforms vague requests into clear, specific, actionable prompts.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including reference files (for example `README.md`, `references/anti-patterns.md` and `references/aristotelian.md`).

It sits in AI & LLM Engineering, covering Prompt engineering. The repository describes itself as: A curated collection of high-quality Claude Code skills to enhance your development workflow. The licence is MIT.

When your agent uses it

User asks to improve a prompt
Refine a prompt
Make a prompt better
Optimize prompting

Example prompts

“/improve-prompt”
“/prompt-improver”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

Gather context - Use AskUserQuestion to clarify
Analyze - Identify what's unclear, missing, or ambiguous
Improve - Apply the framework (see references/framework.md)
Present - Show improved prompt with key changes explained
Refine - Ask if user wants adjustments

What it can do on your machine

Read from SKILL.md and the folder at commit 9ff72fe. 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 markdown).
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 Improver loads about 1.1k tokens when it runs, and up to ~4.9k if it reads all its reference files. Until then it costs about 68 tokens; SKILL.md has 302 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~68
When it runs · the whole SKILL.md, loaded when a task matches: ~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~4.9k

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 happycapy-ai/Happycapy-skills at commit 9ff72fe, republished under its MIT licence (© happycapy-ai). 302 words, ~1,146 tokens.

Download SKILL.mdSave it as .claude/skills/prompt-improver/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.

name: prompt-improver
description: Optimize prompts for better AI responses. Use when user asks to improve a prompt, refine a prompt, make a prompt better, optimize prompting, review their prompt, or says "/improve-prompt". Transforms vague requests into clear, specific, actionable prompts.

Prompt Improver

Transform vague prompts into clear, specific, actionable ones for better AI responses.

Workflow

Gather context - Use AskUserQuestion to clarify:
- Target platform (Claude Code, ChatGPT, API, image gen)
- Priority (accuracy, speed, depth, creativity)
- Missing context (technical stack, constraints, examples)
Analyze - Identify what's unclear, missing, or ambiguous
Improve - Apply the framework (see references/framework.md)
Present - Show improved prompt with key changes explained
Refine - Ask if user wants adjustments

AskUserQuestion Templates

Initial clarification:

questions:
  - header: "Platform"
    question: "What will you use this prompt for?"
    options:
      - label: "Claude Code"
        description: "Coding, file ops, terminal"
      - label: "ChatGPT/Claude.ai"
        description: "General conversation"
      - label: "API/Automation"
        description: "Programmatic use"
      - label: "Image gen"
        description: "DALL-E, Midjourney, etc."
  - header: "Priority"
    question: "What matters most?"
    options:
      - label: "Accuracy"
        description: "Correctness is critical"
      - label: "Speed"
        description: "Quick, concise"
      - label: "Depth"
        description: "Comprehensive"
      - label: "Creativity"
        description: "Novel approaches"

Post-improvement:

header: "Refine"
question: "Adjust the improved prompt?"
options:
  - label: "Looks good"
    description: "Use as-is"
  - label: "More specific"
    description: "Add constraints"
  - label: "More concise"
    description: "Shorten"
  - label: "Different focus"
    description: "Change emphasis"

Output Format

markdown

## Analysis
[Brief issues/opportunities]

## Improved Prompt
[Ready-to-use prompt]

## Key Changes
- [Change]: [Why]

Quick Mode

If user says "quick improve", skip questions and make reasonable assumptions. Note assumptions made.

Aristotelian Mode (First Principles)

Activated when user says "Aristotelian", "first principles", or "proof-based". Instead of the standard framework, produce a prompt that instructs the receiving LLM to reason from first principles when executing the task.

The prompt-improver does NOT do the Aristotelian reasoning itself. It crafts a prompt that tells the LLM to:

Gather context from user - Ask what system capabilities, tools, and constraints exist. Bake known context (root access, AI model, available tools, domain) directly into the prompt as given axioms.
Embed the reasoning directive - The improved prompt tells the LLM to:
- Identify the atomic, irreducible truths of the task before acting
- Interrogate each truth: "Can this be decomposed further? If removed, does the task break? Does it contradict anything?"
- Discard anything that is not strictly necessary
- Build the solution deductively, where every action traces to a stated axiom
- Verify the result against the axioms at the end

Structure the output prompt with these sections:

REASONING DIRECTIVE: [Instruct the LLM to use first-principles reasoning]
GIVEN AXIOMS: [Known truths about system, capabilities, domain -- baked in]
TASK: [What to accomplish]
METHOD: [Tell LLM to discover task-specific axioms, interrogate them, then build deductively]
VERIFICATION: [Tell LLM to check its result against its axioms]

Output format for Aristotelian mode:

markdown

## Analysis
[What context was embedded and why]

## Improved Prompt (Aristotelian)
[The complete prompt with reasoning directive, given axioms, task, method, and verification]

## What This Prompt Does
- Tells the LLM to [specific reasoning behavior]
- Bakes in [specific context] so the LLM does not hallucinate it

See references/aristotelian.md for the full methodology and prompt structure.

References

Framework details: See references/framework.md for the 6-principle improvement framework
Aristotelian mode: See references/aristotelian.md for the proof-based first principles methodology
Examples: See references/examples.md for before/after transformations
Anti-patterns: See references/anti-patterns.md for common issues to fix

Files

SKILL.md and 10 other files (references) in skills/prompt-improver of happycapy-ai/Happycapy-skills.

SKILL.md
LICENSE
README.md
images/aristotelian-diagram.png
images/before-after.png
images/capybara-mascot.png
images/workflow-diagram.png
references/anti-patterns.md
references/aristotelian.md
references/examples.md
references/framework.md

Open the folder on GitHubat commit 9ff72fe

Compare with similar skills

Prompt Improver 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 Improver compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Prompt Improver this skillhappycapy-ai/Happycapy-skills	137	—	~1.1k	Automated safety check: Pass	MIT	1 mo ago
Prompt Improverseverity1/claude-code-prompt-improver	1.9k	1 repos	~1.7k	Automated safety check: Pass	MIT	10 days ago
Prompt Engineering Patternsynulihao/AgentSkillOS	618	14 repos	~1.7k	Automated safety check: Pass	None	7 mo ago
Patch CreationPiebald-AI/tweakcc	2.5k	—	~1.6k	Automated safety check: Pass	MIT	today
Senior Prompt Engineermaslennikov-ig/claude-code-orchestrator-kit	260	3 repos	~1.4k	Automated safety check: Pass	Custom licence	7 mo ago
Codex Fable5baskduf/FableCodex	437	—	~1.6k	Automated safety check: Pass	AGPL-3.0	2 mo ago

Similar skills

Prompt Improver
severity1/claude-code-prompt-improver
This skill enriches vague prompts with targeted research and clarification before execution.
1.9k GitHub starsUsed in 1 repo~1.7k tokens
AI & LLM EngineeringAuto-check passed
Prompt Engineering Patterns
ynulihao/AgentSkillOS
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.
618 GitHub starsUsed in 14 repos~1.7k tokens
AI & LLM EngineeringAuto-check passed
Patch Creation
Piebald-AI/tweakcc
Create and register new patches for tweakcc. An agent skill from Piebald-AI/tweakcc.
2.5k GitHub stars~1.6k tokensUpdated today
AI & LLM EngineeringAuto-check passed
Senior Prompt Engineer
maslennikov-ig/claude-code-orchestrator-kit
Provides reference guides and Python scripts for prompt optimization, RAG evaluation, and agent orchestration when building or tuning LLM systems.
260 GitHub starsUsed in 3 repos~1.4k tokens
AI & LLM EngineeringAuto-check passed
Codex Fable5
baskduf/FableCodex
Apply a Claude Fable 5 inspired operating style inside Codex.
437 GitHub stars~1.6k tokensUpdated 2 mo ago
AI & LLM EngineeringAuto-check passed
Prompt Engineering Patterns
wshobson/agents
Reference for designing and tuning production LLM prompts: few-shot examples, chain-of-thought, structured outputs, templates and system prompts.
40k GitHub stars~1.3k tokensUpdated 6 days ago
AI & LLM EngineeringAuto-check passed

Questions about Prompt Improver

What does Prompt Improver do?

Optimize prompts for better AI responses. An agent skill from happycapy-ai/Happycapy-skills. Prompt Improver is an agent skill from happycapy-ai/Happycapy-skills. Optimize prompts for better AI responses.

When should I use Prompt Improver?

Prompt Improver fits situations like: user asks to improve a prompt; refine a prompt; make a prompt better; optimize prompting.

How do I install Prompt Improver in Claude Code?

Run `npx skills add happycapy-ai/Happycapy-skills --skill prompt-improver -a claude-code`. Or copy the skill folder (skills/prompt-improver in happycapy-ai/Happycapy-skills) into .claude/skills/prompt-improver in your project. Claude Code loads it when a task matches its description.

How do I install Prompt Improver in Codex?

Run `npx skills add happycapy-ai/Happycapy-skills --skill prompt-improver -a codex`. Or copy the skill folder (skills/prompt-improver in happycapy-ai/Happycapy-skills) into .agents/skills/prompt-improver in your project. Codex loads it when a task matches its description.

Can I use Prompt Improver 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 happycapy-ai/Happycapy-skills --skill prompt-improver -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-improver, .gemini/skills/prompt-improver, .github/skills/prompt-improver and .opencode/skills/prompt-improver in your project.

What does Prompt Improver need to run?

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

Does Prompt Improver 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 Improver 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 Improver use?

Prompt Improver is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Prompt Improver use?

About 1.1k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.8k tokens, read only when the agent opens those files.

What are the alternatives to Prompt Improver?

Skills that share tags, products or a category with Prompt Improver: Prompt Improver (severity1/claude-code-prompt-improver, 1.9k stars), Prompt Engineering Patterns (ynulihao/AgentSkillOS, 618 stars), Patch Creation (Piebald-AI/tweakcc, 2.5k 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 Improver?

happycapy-ai (a GitHub user) maintains it in happycapy-ai/Happycapy-skills, which has 137 GitHub stars. The repository holds 28 skills in this directory. The repository was last updated on September 3, 2026.

Source: happycapy-ai/Happycapy-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Prompt Improver

Install Prompt Improver

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Prompt Improver

Workflow

AskUserQuestion Templates

Output Format

Quick Mode

Aristotelian Mode (First Principles)

References

Files

Compare with similar skills

Similar skills

Prompt Improver

Prompt Engineering Patterns

Patch Creation

Senior Prompt Engineer

Codex Fable5

Prompt Engineering Patterns

More from happycapy-ai/Happycapy-skills

Happycapy Skill Creator

360 Panorama Viewer

Generate Image

LLM Council

PPTX

World Class Carousel

Questions about Prompt Improver

Install Prompt Improver

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Prompt Improver

Workflow

AskUserQuestion Templates

Output Format

Quick Mode

Aristotelian Mode (First Principles)

References

Files

Compare with similar skills

Similar skills

More from happycapy-ai/Happycapy-skills

Related

Questions about Prompt Improver