Generate comprehensive predicates and orders for domain types using typeclass patterns
AI & LLM
LLM integrations, prompt engineering, and AI orchestration
8,093 Skills
Create production-ready Effect domain models using Schema.TaggedStruct for ADTs, Schema.Data for automatic equality,...
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks...
PyTiDB (pytidb) setup and usage for TiDB from Python. Covers connecting, table modeling (TableModel), CRUD, raw SQL,...
WRAP decision framework countering the four villains—narrow framing, confirmation bias, short-term emotion, and...
Wardley Mapping strategic analysis—map value chains against evolution to reveal build vs buy decisions and...
SCAMPER creative brainstorming with seven prompts—Substitute, Combine, Adapt, Modify, Put to other uses, Eliminate,...
Red team adversarial analysis to find weaknesses, vulnerabilities, and failure modes. Use before launches, for...
Pre-mortem analysis that imagines a plan has failed, then works backward to identify causes and preventions. Use...
Blameless post-mortem incident analysis with timeline, root cause, and action items. Use after outages, security...
Five Whys root cause analysis. Iteratively asks "why" to drill past symptoms to underlying causes. Use for...
Create OpenAI Agents SDK applications in TypeScript/JavaScript. Use when building AI agents, multi-agent systems,...
Generates distinctive, high-quality frontend designs avoiding generic AI aesthetics. Use when building landing...
Guide for creating, managing, and using Claude Code Agent Skills. Use when the user asks about Skills, wants to...
Goal-based workflow orchestration - routes tasks to specialist agents based on user goals
Wiring Verification
Validation agent that validates plan tech choices against current best practices
Friendly onboarding when users ask about capabilities
Show full session token usage, costs, TLDR savings, and hook activity
Maps questions to the optimal tldr command. Use this to pick the right layer
Get a token-efficient overview of any project using the TLDR stack
Full 5-layer analysis of a specific function. Use when debugging or deeply understanding code.
Token-efficient code analysis via 5-layer stack (AST, Call Graph, CFG, DFG, PDG). 95% token savings.
Comprehensive testing workflow - unit tests ∥ integration tests → E2E tests