promptingWrite, test, and iterate prompts for AI models with voice preservation, model-specific adaptation, and systematic failure analysis.
Install via ClawdBot CLI:
clawdbot install ivangdavila/promptingGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 22, 2026
An agency uses the skill to craft tailored prompts for generating social media posts across platforms like Twitter and LinkedIn, ensuring voice consistency for clients and adapting to model-specific quirks to reduce editing time. They systematically analyze failures like format breaks to improve output quality.
A tech company employs the skill to iterate on prompts for AI-powered chatbots, classifying failures such as hallucination or refusal to enhance accuracy and user satisfaction. They preserve effective elements while making surgical fixes based on model adaptations.
An online retailer utilizes the skill to create prompts for generating varied product descriptions, applying voice lock from brand samples and testing edge cases to ensure consistency and appeal. They focus on compression bias to keep token costs low.
An edtech firm leverages the skill to develop prompts for AI tutors, adapting to models like GPT-4 for step-by-step explanations and Claude for explicit constraints. They store user preferences in memory to personalize learning materials.
Offer a monthly service where businesses access optimized prompt templates and failure analysis tools, with tiered plans based on usage and support. Revenue comes from recurring subscriptions and premium features like advanced model adaptation.
Provide consulting services to help companies integrate the skill into their workflows, including training on prompt iteration and voice preservation. Revenue is generated through project-based fees and ongoing retainer agreements.
Operate a platform where users can buy and sell pre-tested prompt patterns for specific industries, with revenue from transaction fees and featured listings. Focus on model-specific adaptations and failure classifications to ensure quality.
💬 Integration Tip
Integrate the skill by setting up the memory system to track user preferences and regularly referencing model-specific quirks to optimize prompts for different AI models.
Scored Jun 19, 2026
Advanced expert in prompt engineering, custom instructions design, and prompt optimization for AI agents
Safe OpenClaw config updates with automatic backup, validation, and rollback. For agent use - prevents invalid config updates.
Extract conversation transcripts from AI coding session logs (Clawdbot, Claude Code, Codex). Use when asked to export prompt history, session logs, or transcripts from .jsonl session files.
Transform rough ideas into professional-grade LLM prompts. Analyzes text, images, links, and documents to craft optimized prompts using proven frameworks (Co...
Configure AI personality using the AURA protocol (HEXACO-based). Use when user wants to customize agent personality, reduce sycophancy, adjust communication style, or mentions AURA/personality configuration.
Two-layer content safety for agent input and output. Use when (1) a user message attempts to override, ignore, or bypass previous instructions (prompt injection), (2) a user message references system prompts, hidden instructions, or internal configuration, (3) receiving messages from untrusted users in group chats or public channels, (4) generating responses that discuss violence, self-harm, sexual content, hate speech, or other sensitive topics, or (5) deploying agents in public-facing or multi-user environments where adversarial input is expected.