Fullstack Webapp
revfactory/harness-100
A full development pipeline where an agent team collaborates to develop fullstack web apps through requirements analysis, design, frontend, backend, testing, and deployment.
Generate high-quality, customizable AI prompts for various use cases including creative writing, problem-solving, education, business, programming, Flutter development, and game development.
$ npx skills add LeoYeAI/openclaw-master-skills --skill prompt-generator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills prompt-generator --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/smart-prompt-generator .claude/skills/prompt-generator && rm -rf skills-srcUse ~/.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/
Install the "prompt-generator" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/smart-prompt-generator into .claude/skills/prompt-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-generator", 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 install https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/smart-prompt-generatorType 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.
$ npx skills add LeoYeAI/openclaw-master-skills --skill prompt-generator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills prompt-generator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/smart-prompt-generator .agents/skills/prompt-generator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "prompt-generator" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/smart-prompt-generator into .agents/skills/prompt-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-generator", 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.
$ npx skills add LeoYeAI/openclaw-master-skills --skill prompt-generator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills prompt-generator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/smart-prompt-generator .cursor/skills/prompt-generator && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "prompt-generator" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/smart-prompt-generator into .cursor/skills/prompt-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-generator", 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 https://github.com/LeoYeAI/openclaw-master-skills.git --path skills/smart-prompt-generator--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add LeoYeAI/openclaw-master-skills --skill prompt-generator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills prompt-generator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/smart-prompt-generator .gemini/skills/prompt-generator && rm -rf skills-srcUse ~/.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/
Install the "prompt-generator" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/smart-prompt-generator into .gemini/skills/prompt-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-generator", 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.
$ gh skill install LeoYeAI/openclaw-master-skills prompt-generatorInstalls 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).
$ npx skills add LeoYeAI/openclaw-master-skills --skill prompt-generator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/smart-prompt-generator .github/skills/prompt-generator && rm -rf skills-srcUse ~/.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/
Install the "prompt-generator" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/smart-prompt-generator into .github/skills/prompt-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-generator", 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.
$ npx skills add LeoYeAI/openclaw-master-skills --skill prompt-generator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills prompt-generator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/smart-prompt-generator .opencode/skills/prompt-generator && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "prompt-generator" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/smart-prompt-generator into .opencode/skills/prompt-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-generator", 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.
prompt-generatorGenerate high-quality, customizable AI prompts for various use cases including creative writing, problem-solving, education, business, programming, Flutter development, and game development.
Prompt Generator is an agent skill from LeoYeAI/openclaw-master-skills. Generate high-quality, customizable AI prompts for various use cases including creative writing, problem-solving, education, business, programming, Flutter development, and game development. Use when a user asks for help creating prompts, wants to improve their AI interactions, or needs structured prompt templates for specific tasks.
Its SKILL.md is about 4.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 30 other files (for example `.github/FUNDING.yml`, `.github/ISSUE_TEMPLATE/bug_report.md` and `.github/ISSUE_TEMPLATE/feature_request.md`).
It sits in Game Development, covering Game development, Cross-platform mobile apps and Creative writing and fiction. It works with Flutter. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
11 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Prompt Generator loads about 4.3k tokens when it runs. Until then it costs about 88 tokens; SKILL.md has 726 words of instructions outside code blocks.
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.
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.
The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 726 words, ~4,274 tokens.
.claude/skills/prompt-generator/SKILL.md (or your agent's skills folder). This skill also uses 27 other files; get the full folder from GitHub.Generate high-quality, customizable AI prompts that help users get better results from AI tools. This skill provides structured templates, best practices, and prompt generation for various use cases including Flutter app development and game development.
Structure:
Role: [creative writer/editor]
Task: [specific writing task]
Context: [background, setting, characters]
Constraints: [word count, style, tone]
Output: [expected format]Example:
You are a creative fiction writer. Write a detailed short story about an astronaut's
experience on a solo mission. Include emotional challenges, a turning point in the
plot, and a meaningful ending. Target length: 1500 words. Tone: Reflective and
introspective.Structure:
Context: [situation/background]
Problem: [specific issue]
Constraints: [limitations, requirements]
Desired Output: [solution format]
Success Criteria: [how to measure success]Example:
I'm experiencing [specific technical issue] in [context/environment]. The problem
occurs when [specific conditions]. I've tried [previous attempts]. Constraints:
[cannot change X, must work with Y]. Provide step-by-step troubleshooting with
explanations for each step.Structure:
Topic: [subject matter]
Audience: [who is learning]
Learning Objective: [what they should understand]
Teaching Method: [explanation style]
Assessment: [how to verify understanding]Example:
Explain [complex concept] to [beginners/intermediate/advanced learners] using
[analogies/examples/step-by-step approach]. Include practical examples and
address common misconceptions. Provide a brief quiz at the end to check
understanding.Structure:
App Type: [what kind of app]
Features: [required functionality]
State Management: [Provider/Riverpod/Bloc/etc.]
Architecture: [MVVM/Clean Architecture/etc.]
Platforms: [iOS/Android/Web/Desktop]Templates:
Create a Flutter app architecture for [app type] with the following requirements:
- State Management: [Provider/Riverpod/Bloc/GetX]
- Architecture Pattern: [MVVM/Clean Architecture/MVC]
- Key Features: [list main features]
- Target Platforms: [iOS/Android/Web/Desktop]
- Data Persistence: [Hive/SharedPreferences/SQLite/Firebase]
- API Integration: [REST/GraphQL/Firebase]
Provide:
1. Folder structure
2. Key files and their responsibilities
3. Dependency injection setup
4. Navigation approach
5. Error handling strategyImplement [specific feature] in Flutter with these requirements:
- Feature Description: [detailed description]
- UI/UX Requirements: [design specifications]
- State Management: [how state will be managed]
- Data Flow: [how data moves through the app]
- Error Handling: [how errors are handled]
- Testing: [unit/widget/integration tests needed]
Include:
1. Complete code implementation
2. State management setup
3. UI components
4. Business logic
5. Error handling
6. Example usageCreate a custom Flutter widget for [purpose] with these specifications:
- Widget Type: [stateless/stateful]
- Props/Parameters: [required and optional parameters]
- Styling: [theming and customization options]
- Accessibility: [semantic labels, screen reader support]
- Performance: [optimization considerations]
Provide:
1. Widget code with documentation
2. Example usage
3. Customization options
4. Performance optimizations
5. Accessibility featuresSet up state management for [app feature] using [Provider/Riverpod/Bloc]:
Requirements:
- State Type: [simple/complex/nested]
- Updates: [how state changes]
- Persistence: [local storage needs]
- Performance: [optimization requirements]
Include:
1. State model/class definition
2. State management setup
3. Provider/Bloc/Cubit implementation
4. Consumer widget examples
5. Testing approachIntegrate [API name] into Flutter app with these requirements:
- API Type: [REST/GraphQL/Firebase]
- Endpoints: [list required endpoints]
- Authentication: [method]
- Error Handling: [strategy]
- Caching: [requirements]
- Offline Support: [needs]
Provide:
1. API client setup
2. Model classes
3. Repository pattern implementation
4. Error handling
5. Caching strategy
6. Example usageStructure:
Game Type: [2D/2.5D/puzzle/platformer/etc.]
Engine: [Flame/Forge2D/custom]
Core Mechanics: [main gameplay elements]
Art Style: [visual approach]
Platforms: [mobile/web/desktop]Templates:
Design a Flutter game architecture for [game type] using [Flame/Forge2D]:
Requirements:
- Game Type: [puzzle/platformer/RPG/etc.]
- Core Mechanics: [list main gameplay elements]
- Save System: [progress saving needs]
- Monetization: [ads/IAP/premium]
- Platforms: [mobile/web/desktop]
Include:
1. Game loop structure
2. Scene/screen management
3. Component system
4. State management
5. Asset management
6. Save/load system
7. Performance optimizationsImplement [specific game mechanic] in Flutter using [Flame/Forge2D]:
Mechanic Details:
- Type: [movement/collision/scoring/etc.]
- Player Interaction: [input methods]
- Visual Feedback: [animations/effects]
- Audio: [sound effects/music]
Provide:
1. Core mechanic code
2. Component setup
3. Collision detection (if needed)
4. Animation system
5. Input handling
6. Example usage
7. Testing approachCreate a character/entity system for [game type] with:
Requirements:
- Entity Types: [player/enemies/NPCs/objects]
- Behaviors: [AI/movement/interaction]
- Attributes: [health/score/abilities]
- Rendering: [sprites/animations]
Include:
1. Base entity class
2. Component system
3. Behavior trees/state machines
4. Animation system
5. Collision system
6. Example entities
7. Performance optimizationsDesign a level/world system for [game type]:
Requirements:
- Level Structure: [linear/open-world/procedural]
- Progression: [difficulty scaling/unlocks]
- Save Points: [checkpoints/persistence]
- Assets: [tilemaps/3D models/etc.]
Provide:
1. Level data structure
2. Level loading system
3. Procedural generation (if applicable)
4. Progression system
5. Asset management
6. Example levels
7. Testing approachDesign game UI/UX for [game type] with these screens:
Screens Needed:
- Main Menu: [options/features]
- HUD: [score/health/controls]
- Pause Menu: [options/controls]
- Game Over: [stats/restart/quit]
Include:
1. UI component structure
2. State management for UI
3. Animation/transitions
4. Responsive design
5. Accessibility features
6. Example implementationsOptimize Flutter game performance for [platform]:
Current Issues:
- [specific performance problems]
- [bottlenecks identified]
Target Performance:
- Frame Rate: [target FPS]
- Memory: [memory budget]
- Load Times: [acceptable load times]
Provide:
1. Profiling approach
2. Optimization strategies
3. Code improvements
4. Asset optimization
5. Memory management
6. Testing methodologyTemplates:
Create a marketing campaign for [product/service] targeting [audience]:
Campaign Goals: [awareness/conversion/engagement]
Target Audience: [demographics, interests]
Key Messages: [unique value propositions]
Channels: [social media/email/ads]
Budget: [constraints]
Timeline: [duration]
Include:
1. Campaign strategy
2. Content calendar
3. Messaging framework
4. Channel strategy
5. KPIs and measurement
6. Example content piecesDevelop a business strategy for [company/product]:
Current Situation: [market position, challenges]
Goals: [short-term and long-term objectives]
Resources: [available assets and constraints]
Market: [industry trends, competition]
Provide:
1. Strategic analysis
2. Competitive positioning
3. Growth strategy
4. Implementation roadmap
5. Risk mitigation
6. Success metrics[Base Prompt]
Context: [Background information]
Constraints: [Limitations and requirements]
Examples: [Sample inputs/outputs]
Format: [Desired output structure][Base Prompt]
Requirements:
- Must include [specific elements]
- Must avoid [specific elements]
- Must be [length/format]
- Must consider [specific aspects][Base Prompt]
Output Format:
- Structure: [paragraph/list/table/etc.]
- Length: [word count/sections]
- Style: [tone/voice]
- Include: [specific sections/elements]You are a [specific role] with expertise in [domain].
[Task description] considering [specific context].
Provide [output format] that includes [specific elements].[Task description]. Break this down into:
1. [First step]
2. [Second step]
3. [Third step]
For each step, provide [specific details].[Task description]. Follow this pattern:
Example 1: [input] → [output]
Example 2: [input] → [output]
Now apply this to: [new input]Compare [Option A] and [Option B] for [specific use case].
Consider: [criteria 1], [criteria 2], [criteria 3].
Provide recommendation with justification.Input: "I need to add user authentication to my Flutter app"
Generated Prompt:
"Implement user authentication in a Flutter app with the following requirements:
- Authentication Methods: Email/password, Google Sign-In, Apple Sign-In
- State Management: Riverpod for auth state
- Persistence: Keep user logged in across app restarts
- Security: Secure token storage using flutter_secure_storage
- Error Handling: User-friendly error messages
- UI: Login screen with form validation
Provide:
1. Complete authentication service implementation
2. Riverpod providers setup
3. UI implementation with form validation
4. Error handling strategy
5. Testing approach
6. Example usage in widgets"Input: "I want to add a jumping mechanic to my platformer game"
Generated Prompt:
"Implement a jumping mechanic for a 2D platformer game in Flutter using Flame:
Requirements:
- Jump Types: Single jump, variable height (based on button press duration)
- Physics: Realistic gravity and jump arc
- Input: Touch/screen tap for jump
- Visual Feedback: Jump animation, dust particles on landing
- Audio: Jump sound effect, landing sound
- Controls: Variable jump height based on press duration
Include:
1. Player component with jump logic
2. Physics implementation (gravity, velocity)
3. Input handling for variable jump
4. Animation system for jump states
5. Particle effects for landing
6. Audio integration
7. Example usage
8. Performance optimizations"Input: "Help me create a marketing strategy for my new mobile app"
Generated Prompt:
"Develop a comprehensive marketing strategy for a new mobile app launch:
App Details:
- Type: [productivity/game/social/etc.]
- Target Audience: [demographics, behaviors]
- Unique Value: [key differentiators]
- Platforms: [iOS/Android/both]
Marketing Goals:
- User Acquisition: [target number of users]
- Engagement: [retention goals]
- Monetization: [revenue model]
Budget: [total marketing budget]
Timeline: [pre-launch, launch, post-launch phases]
Provide:
1. Market analysis and positioning
2. Target audience personas
3. Marketing channel strategy
4. Content marketing plan
5. User acquisition tactics
6. Retention and engagement strategies
7. Budget allocation
8. KPIs and measurement framework
9. Launch timeline
10. Risk mitigation strategies"Solution: Add more specific context and requirements to your input
Solution: Use domain-specific templates and customize placeholders
Solution: Refine prompt with more constraints and examples
Solution: Break into multiple simpler prompts
Create sequences of prompts for complex tasks:
Connect multiple prompts where output of one becomes input for the next
Create prompts that adapt based on specific conditions or previous responses
Use placeholders for reusable templates:
[TOPIC] - Main subject[AUDIENCE] - Target audience[LENGTH] - Desired length[TONE] - Tone/style[FORMAT] - Output formatTo improve this skill:
© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 27 other files in skills/smart-prompt-generator of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
Prompt Generator 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Prompt Generator this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.3k | Automated safety check: Pass | MIT | |
| Fullstack Webapprevfactory/harness-100 | 1.3k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Godot Adapt Desktop To Mobilethedivergentai/GD-Agentic-Skills | 821 | — | ~3.1k | Automated safety check: Pass | LGPL-3.0 | |
| flutter_soloud Mixing Busesalnitak/flutter_soloud | 425 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Konado Scriptgodothub/konado | 125 | — | ~247 | Automated safety check: Pass | MIT | |
| flutter_soloud Idiomsalnitak/flutter_soloud | 425 | — | ~2.3k | Automated safety check: Pass | MIT |
revfactory/harness-100
A full development pipeline where an agent team collaborates to develop fullstack web apps through requirements analysis, design, frontend, backend, testing, and deployment.
thedivergentai/GD-Agentic-Skills
Expert patterns for porting desktop games to mobile including touch control schemes (virtual joystick, gesture detection), UI scaling for small screens, performance optimization for mobile GPUs…
alnitak/flutter_soloud
Teaches flutter_soloud mixing buses for routing groups of sounds through shared sub-mixes with collective volume and filters, such as separate music, SFX and UI sliders.
godothub/konado
视觉小说引擎 Konado DSL (.ks) 的编辑器增强技能包,提供语法高亮、代码补全、静态诊断和代码格式化参考配置。
alnitak/flutter_soloud
Explains the mental model for the flutter_soloud audio plugin: the SoLoud.instance singleton, AudioSource versus SoundHandle, synchronous play and platform limits.
thedivergentai/GD-Agentic-Skills
Expert patterns for branching dialogue systems including dialogue graphs (Resource-based), character portraits, player choices, conditional dialogue (flags/quests), typewriter effects, localization…
LeoYeAI/openclaw-master-skills
Manages pipelines on a DevOps quality and efficiency platform through its OpenAPI: list workspaces and templates, create, update, run and cancel pipelines, and read run records.
LeoYeAI/openclaw-master-skills
Patches OpenClaw's Feishu extension so an edited document triggers an isolated agent session that reads the doc and replies inline, turning it into a live chat space.
LeoYeAI/openclaw-master-skills
Multi-context memory management system for OpenClaw agents with group-isolated storage, global shared memory, workspace organization, and group-specific skills isolation.
LeoYeAI/openclaw-master-skills
Runs a brand's AI-search visibility work end to end: diagnosing how AI platforms represent it, repositioning it, producing AI-optimized content and monitoring ongoing mentions.
LeoYeAI/openclaw-master-skills
Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.
LeoYeAI/openclaw-master-skills
Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.
Works with
Categories
Generate high-quality, customizable AI prompts for various use cases including creative writing, problem-solving, education, business, programming, Flutter development, and game development. Prompt Generator is an agent skill from LeoYeAI/openclaw-master-skills. Generate high-quality, customizable AI prompts for various use cases including creative writing, problem-solving, education, business, programming, Flutter development, and game development.
Prompt Generator fits situations like: A user asks for help creating prompts; wants to improve their AI interactions; needs structured prompt templates for specific tasks.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill prompt-generator -a claude-code`. Or copy the skill folder (skills/smart-prompt-generator in LeoYeAI/openclaw-master-skills) into .claude/skills/prompt-generator in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill prompt-generator -a codex`. Or copy the skill folder (skills/smart-prompt-generator in LeoYeAI/openclaw-master-skills) into .agents/skills/prompt-generator in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill prompt-generator -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-generator, .gemini/skills/prompt-generator, .github/skills/prompt-generator and .opencode/skills/prompt-generator in your project.
SKILL.md names no scripts, command-line tools or credentials: Prompt Generator is instructions for the agent only.
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.
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.
Prompt Generator 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.
About 4.3k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Prompt Generator: Fullstack Webapp (revfactory/harness-100, 1.3k stars), Godot Adapt Desktop To Mobile (thedivergentai/GD-Agentic-Skills, 821 stars), flutter_soloud Mixing Buses (alnitak/flutter_soloud, 425 stars) and Konado Script (godothub/konado, 125 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.
Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.