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AI & LLM
LLM integrations, prompt engineering, and AI orchestration
7,400 技能
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Computational geometry with Shapely - create geometries, boolean operations, measurements, predicates
Meta-skill for creating and managing Claude Code skills
Skill Development Rules
Upgrade any skill to v5 Hybrid format using decision theory + modal logic
Create and use Claude Code slash commands - quick prompts, bash execution, file references
Create and configure Claude Code sub-agents with custom prompts, tools, and models
Show users how Continuous Claude works - the opinionated setup with hooks, memory, and coordination
TDD workflow for migrations - orchestrate agents, zero main context growth
Orchestrator-only workflow for migrating/rewriting codebases with full TDD and agent delegation
Comprehensive testing workflow - unit tests ∥ integration tests → E2E tests
Token-efficient code analysis via 5-layer stack (AST, Call Graph, CFG, DFG, PDG). 95% token savings.
Full 5-layer analysis of a specific function. Use when debugging or deeply understanding code.
Get a token-efficient overview of any project using the TLDR stack
Maps questions to the optimal tldr command. Use this to pick the right layer
Show full session token usage, costs, TLDR savings, and hook activity
Friendly onboarding when users ask about capabilities
Validation agent that validates plan tech choices against current best practices
Wiring Verification
Goal-based workflow orchestration - routes tasks to specialist agents based on user goals
This skill should be used when the user asks to "attack Active Directory", "exploit AD", "Kerberoasting", "DCSync",...
This skill should be used when the user asks to "test API security", "fuzz APIs", "find IDOR vulnerabilities", "test...
This skill should be used when the user asks to "pentest AWS", "test AWS security", "enumerate IAM", "exploit cloud...