Catalog
All AI skills
80 skills. Every one is readable here; downloads and live use need a subscription.
evaluation
Build evaluation frameworks for agent systems. Use when testing agent performance systematically, validating context engineering choices, or measuring improvements over time.
expo-cicd-workflows
Helps understand and write EAS workflow YAML files for Expo projects. Use this skill when the user asks about CI/CD or workflows in an Expo or EAS context, mentions .eas/workflows/, or wants help with EAS build pipelines or deployment automation.
faf-expert
Advanced .faf (Foundational AI-context Format) specialist. IANA-registered format, MCP server config, championship scoring, bi-directional sync.
faf-wizard
Done-for-you .faf generator. One-click AI context for any project - new, legacy, or famous. Auto-detects stack, scores readiness, works everywhere.
geminiignore-finops
Configure and optimize .geminiignore files for AI context window efficiency and token cost reduction (FinOps).
go-concurrency-patterns
Master Go concurrency with goroutines, channels, sync primitives, and context. Use when building concurrent Go applications, implementing worker pools, or debugging race conditions.
hierarchical-agent-memory
Scoped CLAUDE.md memory system that reduces context token spend. Creates directory-level context files, tracks savings via dashboard, and routes agents to the right sub-context.
hig-components-controls
Check for .claude/apple-design-context.md before asking questions. Use existing context and only ask for information not already covered.
hig-components-menus
Check for .claude/apple-design-context.md before asking questions. Use existing context and only ask for information not already covered.
hig-inputs
Check for .claude/apple-design-context.md before asking questions. Use existing context and only ask for information not already covered.
hig-technologies
Check for .claude/apple-design-context.md before asking questions. Use existing context and only ask for information not already covered.
lex
Centralized 'Truth Engine' for cross-jurisdictional legal context (US, EU, CA) and contract scaffolding.
lore
Markdown project memory for AI agents. Use for decisions, architecture, conventions, monorepo scopes, `.lore/`, or `lore` commands; not native `/init`/`/compact` or generic init/compress/audit/query.
mcp-builder
Create MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. The quality of an MCP server is measured by how well it enables LLMs to accomplish real-world tasks.
mcp-tool-developer
Build Model Context Protocol (MCP) servers and tools from scratch. Full-stack MCP development with TypeScript/Python, testing, deployment, and registry publishing.
monte-carlo-prevent
Surfaces Monte Carlo data observability context (table health, alerts, lineage, blast radius) before SQL/dbt edits.
monte-carlo-remediation
Investigate and remediate data quality alerts using Monte Carlo MCP tools. Runs root cause analysis, assesses blast radius, discovers available tools (MCP/CLI/API), proposes and executes fixes, or escalates with full context when uncertain.
multi-agent-patterns
This skill should be used when the user asks to "design multi-agent system", "implement supervisor pattern", "create swarm architecture", "coordinate multiple agents", or mentions multi-agent patterns, context isolation, agent handoffs, sub-agents, or parallel agent execution.
on-call-handoff-patterns
Effective patterns for on-call shift transitions, ensuring continuity, context transfer, and reliable incident response across shifts.
product-marketing
When the user wants to create or update their product marketing context document.
project-state-governor
Govern evidence-backed canonical project state across sessions, branches, reviews, and research cycles without inventing product intent.
read-all-adrs
Read every ADR in a project before summarizing architectural context or decisions.
recallmax
FREE — God-tier long-context memory for AI agents. Injects 500K-1M clean tokens, auto-summarizes with tone/intent preservation, compresses 14-turn history into 800 tokens.
research-prompt
Turn vague research needs into one precise deep-research prompt with context and output criteria.
review-multi-agent-orchestration
Use when a supervisor, swarm, graph, planner-worker system, or parallel agent workflow needs review for task boundaries, shared state, branch joins, retries, cancellation, context handoffs, budgets, deadlocks, or human escalation before implementation or production rollout.
security-requirement-extraction
Derive security requirements from threat models and business context. Use when translating threats into actionable requirements, creating security user stories, or building security test cases.
shadcn
Manages shadcn/ui components and projects, providing context, documentation, and usage patterns for building modern design systems.
the-honoured-one
Forces the AI to fully load context and read relevant files before performing complex, multi-file tasks, architectural changes, or debugging. Prevents acting on assumptions.
ui-skills-root
Use before UI-related work to select the smallest useful UI Skills context through the ui-skills CLI.
using-lwc
Use when project decisions, code structure, research, incidents, or verified context must survive future coding-agent sessions through LWC memory and graph indexes.
uxui-principles
Evaluate interfaces against 168 research-backed UX/UI principles, detect antipatterns, and inject UX context into AI coding sessions.
x402-express-wrapper
Wrapper oficial de M2MCent (Node.js) para inyectar muros de pago x402 en APIs o servidores Model Context Protocol (MCP). Usar al construir nuevos servicios que requieran monetización máquina a máquina.