prompts-chat
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npx mdskill add TerminalSkills/skills/prompts-chatBrowse and self-host a community-curated prompt library for AI agents
- Solve the problem of finding effective prompts for specific tasks
- Uses Docker for self-hosting and a web interface for browsing
- Organizes prompts by category and task type for easy discovery
- Delivers results through direct copy-paste and private team access
SKILL.md
.github/skills/prompts-chatView on GitHub ↗
--- name: prompts-chat description: >- Browse, search, and self-host a community prompt library with 1000+ curated prompts. Use when: finding proven prompts for specific tasks, building a team prompt library, learning prompt patterns from community-tested examples. license: MIT compatibility: "Any AI agent, Docker for self-hosting" metadata: author: terminal-skills version: "1.0.0" category: productivity tags: ["prompts", "prompt-library", "community"] --- # Prompts.chat ## Overview Prompts.chat (formerly Awesome ChatGPT Prompts) is a self-hostable platform with 1000+ community-curated prompts organized by category. Browse online or deploy privately for your team. ## Instructions ### Browse Online Visit [prompts.chat](https://prompts.chat) to search and copy prompts immediately. ### Self-Host for Teams ```bash git clone https://github.com/f/prompts.chat.git cd prompts.chat docker compose up -d ``` Access at `http://localhost:3000`. Your team gets a private prompt library. ### Search by Category Prompts are organized into categories: - **Coding**: Debug code, write tests, refactor, code review, architecture - **Writing**: Blog posts, emails, copy, social media, documentation - **Analysis**: Data analysis, research, summarization, comparison - **Business**: Strategy, marketing plans, sales scripts, financial models - **Creative**: Brainstorming, storytelling, design briefs ### Use a Prompt 1. Search for your task (e.g., "code review") 2. Copy the prompt template 3. Replace placeholders with your specifics 4. Paste into your AI tool ### Build Team Collections Create curated collections for your organization: 1. Fork the repository 2. Add prompts to the `prompts/` directory following the format 3. Deploy your fork — team members access shared prompts 4. Version control improvements over time ## Examples **Example 1: Code review prompt** Search "code review" → find the "Senior Code Reviewer" prompt: ``` Act as a senior software engineer reviewing a pull request. Review this code for: bugs, security issues, performance, readability, and adherence to best practices. Code: [paste code] ``` **Example 2: Business strategy prompt** Search "market analysis" → find the "Market Analyst" prompt: ``` Analyze the market opportunity for [product] targeting [audience]. Include: market size, competitors, differentiation opportunities, pricing strategy, and go-to-market recommendations. ``` ## Guidelines - Test prompts with your specific AI model — some work better with Claude vs GPT - Customize prompts for your domain (replace generic terms with your industry specifics) - Contribute back — submit prompts that work well for you to help the community - For team use, add company-specific context to prompts (coding standards, brand voice) - Review prompts periodically — AI capabilities change, prompts should evolve
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