examine a given development story and decide if it has security value that warrants inclusion in a threat model
AI & LLM
LLM integrations, prompt engineering, and AI orchestration
7,390 skills
create an initial PyTM-based threat model of your system when asked to perform a threat model
Use when reviewing or enhancing acceptance criteria for user stories. Applies systematic methodology to ensure...
Guide building LLM applications with pattern selection, tool design, context engineering, and safety guardrails. Use...
Use when verifying alignment between directives and their implementations (scripts OR plans). Detects when...
Expert guidance for creating, configuring, and using Claude Code hooks. Use when working with hooks, setting up...
Transform BUSINESS-CASE.md into a journey-organized story map with release slices. Use when user needs MVP planning,...
Use when discussing or working with DeepEval (the python AI evaluation framework)
Use when distributing independent tasks across multiple AI coding assistants in parallel. Triggers include "fork...
Search for and install Agent Skills that give you specialized capabilities. Before starting work, ask might a skill...
Query codebases semantically using LLMs. Use when asking questions about libraries, frameworks, or source code —...
My catalogue of Skills.md
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Expert knowledge for developing, building, and debugging Substreams projects on any blockchain. Use when working...
Comprehensive guide for building, configuring, and deploying Legacy Agentforce GenAiPlannerBundles. Use when...
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Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and...
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture,...
Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers...
Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works...