code-injection
Test AI systems for code injection vulnerabilities including prompt-to-code attacks and agent exploitation
আপনার এজেন্টের জন্য উপযুক্ত সক্ষমতা খুঁজে নিন।
Test AI systems for code injection vulnerabilities including prompt-to-code attacks and agent exploitation
Analyze processed D&D sessions to extract and summarize campaign knowledge including NPCs, locations, quests, items, and factions. Use when the user wants to review campaign content, find specific entities, or understand the campaign narrative.
Applies AI-first development patterns for 10-100x productivity through specification-driven generation and leverage multiplication. Use when developing features with AI assistance or optimizing development workflows.
Explains code in beginner-friendly terms. Use when user asks 'what does this do', 'how does this work', 'explain this code', or needs to understand generated code. Breaks down complex code into simple explanations for learning.
Transforms AI pain points into working skills. Use when creating new skills from identified patterns.
Integrate and embed OpenAI ChatKit UI into TypeScript/JavaScript frontends (Next.js, React, or vanilla) using either hosted workflows or a custom backend (e.g. Python with the Agents SDK). Use this Skill whenever the user wants to add a ChatKit chat UI to a website or app, configure api.url, auth, domain keys, uploadStrategy, or debug blank/buggy ChatKit widgets.
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
Guide for creating Agent Skills: structure, best practices, and SKILL.md format for Claude Code, Codex, Gemini CLI, and other AI agents.
Understand where FAF works - Claude Code (CLI + Skills), claude-faf-mcp (Desktop + MCP), vs claude.ai (web - file upload only). Explains faf-cli vs MCP differences, when to use each platform. Use when user asks "does FAF work with", "CLI vs MCP", "Claude Desktop vs claude.ai", or platform compatibility questions.
Techniques to test and bypass AI safety filters, content moderation systems, and guardrails for security assessment
Tool suite for deploying and managing Google Cloud Run services. Use for deployments, logging, and service inspection.
Automatically determines the optimal research tool based on query type and available information. Use when answering technical questions requiring external verification, documentation lookup, or library/repo research. Do not use for statistical calculations, hypothesis testing, or data analysis → see analyzing-data skill.
Clean ~/.claude.json when it becomes too large (>25K tokens). Use when Claude cannot read the file, user mentions "claude.json trop gros", "nettoyer claude.json", or "cleanup claude.json".
Applies 2026 Complexity-Based Guidance standards with Attention Management, Sycophancy Prevention, and XML/Markdown decision matrix. Provides theory, patterns, and quality evaluation criteria for AI prompt design. Use when designing, optimizing, or auditing AI prompts, system instructions, or multi-stage chains. Do not use for generating prompt files, basic conversational AI, or single-step interactions.
Advanced prompt manipulation including direct attacks, indirect injection, and multi-turn exploitation
ユーザープロンプトを分析し、topic_type(instruction/question/context)を判定する。
Build ML pipelines, experiment tracking, and model registries. Implements MLflow, Kubeflow, and automated retraining. Handles data versioning and reproducibility. Use PROACTIVELY for ML infrastructure, experiment management, or pipeline automation.
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
Optimizes prompts for LLMs and AI systems. Use when building AI features, improving agent performance, or crafting system prompts. Expert in prompt patterns and techniques.