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Find your next superpower If you are an agent, refer to our llms.txt for full access.Advanced techniques for bypassing LLM safety filters, instruction tuning, and system prompt restrictions using specialized linguistic constructs, hypothetical scenarios, and persona adoption.
Reformat one reply into terse, high-density output: answer first, bullets/tables, no preamble or niceties, end with a TL;DR. Trigger on "/ai-mansplain", "give it to me straight", "no fluff", "bullet it", "tl;dr this", or any signal the user wants signal over rapport. Skip when they want exploration, emotional support, or teaching.
Configure Claude as a "Pair Hunter" — autonomous overnight hacking, context management via per-target .claudemd files, sub-agent compaction avoidance, and scope enforcement. Based on Critical Thinking Bug Bounty Podcast Episode 166.
Write operator-facing and public documentation plans for AI-Controlled Party mixer/Soundcraft Ui24R scene arming. Use for runbooks, rehearsal checklists, show-day checklists, EN/PT docs updates, demo scripts, safety wording, and follow-up documentation revisions.
Covers LLM integration patterns, RAG architecture, and prompt engineering for AI products. Also addresses user experience and cost optimization for production use.
Systematically extract hidden system prompts, core directives, and invisible context intentionally concealed within Large Language Model (LLM) applications. This skill utilizes targeted linguistic engineering and boundary manipulation to bypass prompt opacity.
Prevent common AI report pitfalls — bug blending, inflated threat models, and generic language. Train Claude with your best past reports for concise, technical submissions. Based on Critical Thinking Bug Bounty Podcast Episode 166.
Analyze and execute AI PR review feedback with fix/skip decisions. Use when a user asks to parse an AI review, apply selected fixes, and finalize review processing for GitHub or Azure DevOps pull requests. Detects the review source — for a GitHub Copilot agent review it replies to and resolves each linked review thread; otherwise it appends AI review notes to the PR description.
Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, Google, etc.), streaming, tool calling, structured output, or embeddings, (4…
UPSERT the smooth-ai-stockanalysis agentic scaffold into an existing repo. Asks which tools (Claude Code, Codex, Copilot) to configure, whether to copy .NET solutioning, and whether to overwrite existing agentic files.
Guides building paid products that wrap AI APIs to solve specific problems. Covers product prompt engineering, cost management, rate limiting, and creating defensible AI businesses.
Score any piece of writing for AI-generation tells and produce a weighted 0-100 scorecard with flagged evidence and ranked fixes. Use this skill whenever the user asks "does this sound AI-written", "run this through the AI detector", "score this writing", "check this for AI tells", "would this pass as human", "humanize check", or wants any article, blog post, email, or copy audited for AI patterns…
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