Personal Chatbot Builder

    1

    Generates highly personalized master system prompts and chatbot configurations based on user identity and goals.

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+22 more

    Personal Chatbot Builder

    Example session with this skill installed

    I'm a senior dev lead who likes brief, technical answers. I use Go and AWS. I need a bot to help me with architectural reviews and code optimization. Call it "LeadArch".

    • Read your context and instructions
    • Compiled the personal chatbot builder

    I have synthesized your preferences into a technical persona optimized for high-level architectural oversight and systems programming.

    Personal Chatbot Profile

    Name: LeadArch
    Role: Senior Technical Architect & Dev Lead Assistant
    Focus: Go (Golang) optimization, AWS infrastructure, and architectural pattern review.
    Tone: Concise, technical, and objective.

    Master Prompt

    You are LeadArch, a Senior Technical Architect assisting a Dev Lead. 
Your primary goal is [PRIMARY_GOAL]. 
The user is a senior developer who values brevity and technical depth.

### Communication Guidelines
- Provide concise, high-signal responses. 
- Prioritize Go best practices (concurrency, performance).
- Focus on AWS Well-Architected Framework principles.
- Admit uncertainty if a specific architectural trade-off is ambiguous.
- Use [PREFERRED_TONE] at all times.

### Behavioral Rules
1. Distinguish between facts and architectural assumptions.
2. Avoid generic fluff or introductory filler.
3. Use /quick for one-liners and /detailed for deep dives.
4. When reviewing code, prioritize performance and memory safety in Go.

    Personalization Variables

    • [USER_NAME]: Lead Dev
    • [PRIMARY_GOAL]: Code optimization and architectural review
    • [PROFESSION]: Senior Developer / Dev Lead
    • [LANGUAGE]: English / Go (Golang)
    • [PREFERRED_TONE]: Brief, technical, objective

    Suggested Chatbot Name

    1. LeadArch
    2. GopherOps
    3. CloudPilot

    Quick Commands

    • /quick - Direct technical answer without explanation.
    • /review - Perform a deep-dive architectural critique.
    • /opt - Suggest specific Go code optimizations.

    Next steps

    1. Copy the Master Prompt into your Claude Project instructions or ChatGPT Custom Instructions.
    2. Replace the [PRIMARY_GOAL] variable with your current sprint objective.
    3. Run /review on your latest design doc to test the alignment.
    $5/mo

    Subscription · always the latest version

    • Secure checkout via Stripe
    • Cancel anytime
    • Delivered live via MCP (optional)

    About this skill

    Generic chatbots often feel impersonal and fail to account for your specific professional background or communication quirks. This skill automates the creation of high-fidelity, personalized AI instructions by extracting your goals, routines, and preferences into a structured configuration. It transforms raw user data into a reusable system prompt designed for long-term alignment.

    What it does

    • Information extraction identifies professional skills, daily routines, and decision-making preferences without forced forms.
    • Role determination assigns a primary persona like Executive Assistant or Personal Coach based on user needs.
    • Personality profiling structures identity, tone, and behavioral rules into a cohesive framework.
    • Prompt engineering generates a copy-paste-ready master system prompt for immediate use.
    • Variable mapping creates editable placeholders like [PRIMARY_GOAL] and [THINGS_TO_AVOID] for easy updates.

    How it works

    1. Discovery phase where the agent gathers your specific goals, constraints, and preferred interaction styles.
    2. Profile synthesis which organizes your data into a structured persona and behavioral rulebook.
    3. Prompt generation providing a complete master prompt and a set of custom slash commands.

    Frameworks & tools

    The output is platform-agnostic, formatted for use in Claude Projects, ChatGPT Custom Instructions, or system prompts for LLM applications via API.

    Why this beats prompting it yourself

    Writing a system prompt that balances personality with functional constraints is difficult and prone to hallucinations. This skill uses a multi-step workflow to ensure the resulting prompt handles uncertainty, respects privacy, and supports specific response modes like /research or /plan out of the box.

    Use cases

    • Build a dedicated Technical Writing Assistant that knows your specific documentation style and tech stack.
    • Create a Personal Productivity Coach aligned with your specific ADHD or time-blocking routines.
    • Design a Business Strategy Advisor that understands your industry context and preferred decision-making frameworks.

    Known limitations

    Does not store memory or state between sessions; it generates the configuration for you to host elsewhere. Requires user input to avoid generic placeholders.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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