security-hardening
Comprehensive security audit and hardening for AI agents: credential scanning, PII protection, prompt injection defense, and workspace config optimization.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
568 skills found
Comprehensive security audit and hardening for AI agents: credential scanning, PII protection, prompt injection defense, and workspace config optimization.
Transform raw ideas into structured conference talk scripts using narrative frameworks. Features slide-by-slide content planning, speaker notes, and timing guidance in a tool-agnostic format.
Analyze and debug fast-agent session histories, tool execution logs, and conversation timing to resolve performance bottlenecks, tool loops, and unexpected session terminations.
Enriches vague prompts by performing codebase research and asking targeted questions to clarify user intent before execution.
Guided statistical analysis with test selection, assumption checking, power analysis, and APA-formatted reporting for academic and experimental research.
Expert guidance for Shopify app development, including CLI setup, Remix framework architecture, OAuth flows, app extensions, and production deployment on platforms like Cloudflare Workers.
Interactive tool for generating Business, Model, Architecture, and Design (BMAD) planning documentation for feature development.
Deploy isolated development containers with web-accessible VSCode, VNC, and automated app routing via Traefik or Cloudflare Tunnels.
Guides agent memory system implementation, compares frameworks (Mem0, Zep, Letta, LangMem, Cognee), and designs persistence architectures for cross-session knowledge retention.
Home Assistant OS (HAOS) operations skill for agents. Features read-only diagnostics, automation design, health auditing, and safety-first configuration management.
Maintain and update the MassGen model registry, including backend capabilities, model metadata, pricing structures, and context window configurations for new and existing AI models.
Run GitHub Actions CI workflows locally using nektos/act in Docker. Test your CI configurations, debug workflow failures, and validate pipeline changes without pushing code to GitHub.