pnpm-not-found
Fix "pnpm command not found" errors by enabling corepack. Use when pnpm cannot be found, corepack errors appear, or package manager is missing.
output-dev-skill-file
Create .md skill files for Output framework's lazy-loaded instruction system. Use when adding skills to prompts, configuring skill loading, or debugging skill resolution.
output-eval-validate-judge
Validate LLM judges against human labels using TPR/TNR metrics and train/dev/test splits. Use after writing a judge prompt to verify it agrees with human judgment.
claygent
Use Clay's AI research agent (Claygent) for web research, custom data extraction, and information that does not exist in standard databases. Use when the user asks about Claygent, AI research in Clay, web browsing for data, custom data points, real-time company research, or scraping with AI. Triggers on "Claygent", "AI research", "Clay AI agent", "web research in Clay", "browse web", "research agent", "custom data points", "scrape with AI". Do NOT use for standard enrichments available via providers, Clayscript formulas, or general AI text generation without web research.
output-dev-prompt-file
Create .prompt files for LLM operations in Output SDK workflows. Use when designing prompts, configuring LLM providers, or using Liquid.js templating.
email-infra
Complete cold email infrastructure setup, DNS configuration, warmup, and troubleshooting. Use when the user asks about email infrastructure setup, domain purchasing for cold email, DNS configuration, MX/SPF/DKIM/DMARC setup, email warmup, mailbox provisioning, Google Workspace or Microsoft 365 for cold email, Instantly setup, going live with campaigns, deliverability monitoring, email blacklist recovery, warm-up troubleshooting, or scaling email infrastructure. Triggers on "email infra", "setup domains", "buy domains", "DNS setup", "MX records", "SPF record", "DKIM", "DMARC", "warmup", "warm up", "Instantly setup", "mailbox setup", "Google Workspace cold email", "Microsoft 365 cold email", "domain warmup", "email blacklist", "deliverability issue", "scaling email", "how many domains", "how many mailboxes". Do NOT use for email copywriting (use copywriting or first-touch) or general deliverability concepts (handled by orchestrator).
base44-cli
The base44 CLI is used for EVERYTHING related to base44 projects: resource configuration (entities, backend functions, ai agents), initialization and actions (resource creation, deployment). This skill is the place for learning about how to configure resources. When you plan or implement a feature, you must learn this skill
prompt-optimizer
Advanced prompt optimization and composition system for all prompt types (system prompts, task-specific, creative, technical, agentic). Use when users need to refine, optimize, or transform prompts to achieve better AI outputs. Triggers include requests to improve prompts, make prompts more effective, analyze prompt quality, create prompts from scratch, optimize existing prompts for specific goals, or optimize for Claude 4.x models. Also use when users share prompts that could be improved or ask for prompt engineering guidance.
backend-mvp-guardrails
Use when designing or reviewing a backend MVP with tight budget, evolving schema, and reliance on third-party backends where idempotency, replay, and responsibility attribution are high-risk.
review-implementing
Validate proposed changes against requirements before execution. Detect scope creep, ensure alignment with Cooper conventions, and verify no breaking changes to IPC contracts.
mongodb-query-optimizer
Help with MongoDB query optimization and indexing. Use only when the user asks for optimization or performance: "How do I optimize this query?", "How do I index this?", "Why is this query slow?", "Can you fix my slow queries?", "What are the slow queries on my cluster?", etc. Do not invoke for general MongoDB query writing unless user asks for performance or index help. Prefer indexing as optimization strategy. Use MongoDB MCP when available.
ducklake-test
Start duckgres with DuckLake (S3-backed storage with PostgreSQL metadata) for local testing. Use when testing duckgres against DuckLake or reproducing Fivetran sync issues.
repentance
Execute pending daily punishments by sending Pavlok stimuli via scripts/repentance.py. Use when you need to run the punishment cycle.
create-signalstore
Create a new NgRx SignalStore following the patterns used in this codebase. Use when asked to add a new store, state slice, or signal-based state container. Produces feature functions first, combines them in signalStore(), and adds a spec file.
causal-inference
Production-grade Bayesian causal inference with PyMC, CausalPy, and DoWhy. Enforces DAG-first thinking, mandatory user checkpoints for assumptions, design-specific refutation, and defensible reporting with causal language guardrails. Trigger on: causal inference, causal effect estimation, treatment effects, counterfactuals, difference-in-differences (DiD), synthetic control, regression discontinuity (RDD), interrupted time series (ITS), instrumental variables (IV), propensity scores, DAGs, causal graphs, confounders, backdoor criterion, do-calculus, interventional distributions, pm.do(), pm.observe(), CausalPy, DoWhy, mediation analysis, refutation, sensitivity analysis, parallel trends, placebo tests, or any question of the form "does X cause Y" or "what is the effect of X on Y."
data-pipeline
Orchestrate marketing data collection, transformation, and reporting workflows. Use when relevant to the task.
skill-enhancer
AI-powered enhancement of skill SKILL.md files. Use to transform basic templates into comprehensive, high-quality skill documentation.