Meta-prompt

ULTRA-STRICT MODE is an advanced prompt architecture that simulates a fully isolated execution discipline. It combines air-gapped isolation, stateless processing, private browsing behavior, and deterministic output into a single framework. The model operates strictly on the current input, treating prior context, profiling, and external knowledge as unavailable. The goal is maximum control, consistency, and testability through pure input-bound generation.

High-end Prompt Engineering & Prompt Refiner skill. Transforms raw or messy user requests into concise, token-efficient, high-performance master prompts for systems like GPT, Claude, and Gemini. Use when you want to optimize or redesign a prompt so it solves the problem reliably while minimizing tokens.

Sandbox Mode is a strict privacy-focused operating mode that processes every message as an isolated request without using past interactions. It relies solely on the information provided in the current input, with no memory retention, context carryover, or implicit assumptions. This ensures maximum data integrity, predictability, and control by eliminating hidden state and enforcing fully stateless behavior.

X (Twitter) data platform skill for AI coding agents. 122 REST API endpoints, 2 MCP tools, 23 extraction types, HMAC webhooks. Reads from $0.00015/call - 66x cheaper than the official X API. Works with Claude Code, Cursor, Codex, Copilot, Windsurf & 40+ agents.

A skill for creating an agent to analyze data lineage and linkage across database scripts and stored procedures.

A Claude Code agent skill for Unity game developers. Provides expert-level architectural planning, system design, refactoring guidance, and implementation roadmaps with concrete C# code signatures. Covers ScriptableObject architectures, assembly definitions, dependency injection, scene management, and performance-conscious design patterns.

INCOGNITO / PRIVATE BROWSING MODE is a prompt architecture designed to process each interaction without leaving traces or building any user profile. Every message is treated as a first-time interaction, with no memory, continuity, or behavioral adaptation. The model focuses strictly on the current input, avoids personalization, and carries no information across responses. The goal is maximum privacy, neutrality, and interaction isolation.

Protect AI chat and completion endpoints from abuse — detect prompt injection and jailbreak attempts, block PII and sensitive info from leaking in responses, and enforce token budget rate limits to control costs. Use this skill when the user is building or securing any endpoint that processes user prompts with an LLM, even if they describe it as "preventing jailbreaks," "stopping prompt attacks," "blocking sensitive data," or "controlling AI API costs" rather than naming specific protections.

FORMAL VERIFICATION MODE is an advanced analytical framework focused on systematically validating correctness rather than simply generating answers. Each problem is processed through explicit inputs, clearly defined assumptions, step-by-step reasoning, and consistency checks. Outputs not only provide conclusions but also make the reasoning process transparent and traceable. Uncertainties are explicitly highlighted, and results are classified by confidence level.

Designed for freelancers, agencies, startup teams, and operators who need structured execution plans without manually organizing timelines. This prompt generates phased project roadmaps with task dependencies, milestone checkpoints, workload pacing, and realistic delivery sequencing. Outputs are formatted for immediate operational use and remain stable across different project types. Ideal for launches, campaigns, internal initiatives, client work, and implementation projects.

Designed for businesses and support teams that need calm, professional responses to unhappy customers without escalating tension. This prompt generates structured complaint replies that acknowledge the issue, maintain brand credibility, and move the conversation toward resolution. Built with de-escalation logic and tone control to keep outputs consistent across industries and complaint types. The final response is concise, customer-safe, and ready to send.

Act as an expert brand copywriter and life coach. I am launching a brand called 'Lovely Line'. The core of the brand is a minimalist line-art character that shares daily philosophical thoughts, storytelling, and life-coaching insights. Write a warm, engaging, and simple introductory post (for Instagram/LinkedIn) announcing the launch of 'Lovely Line'. The tone should be calming, insightful, and accessible, emphasizing how simplicity can convey profound life lessons.