Loading...
Loading...
Found 3,730 Skills
Automate browser interactions, test web pages and work with Playwright tests.
Triage failing Shiplight YAML tests: reproduce failures, inspect evidence, apply minimal correct fixes, report app/spec mismatches, and update project memory.
Install vigiles and test a Claude Code harness — hooks, skills, settings, CLAUDE.md — by picking the right tier (unit / deterministic / eval) and writing a test that passes. Use when the user wants to check that a hook fires or blocks, that a skill triggers, that injected context lands, or that a harness change moves what the agent does.
Forecast cash flow under Amazon's DD+7 (Delivery-Date-Based Reserve) payout policy. Models when funds clear, sizes the working-capital buffer the seller needs, and stress-tests scenarios for slow shipping or refund spikes. Use when a user asks about DD+7, Delivery-Date-Based Reserve, payout delays, working capital, cash flow under the new reserve policy, or how much cash they need to keep on hand. Trigger phrases: "DD+7", "payout reserve", "delivery date reserve", "working capital", "cash flow", "Amazon holds my money". Works with zero tools. the user provides sales velocity, fulfillment mix, and seasonality.
Statistical analysis toolkit. Hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, Bayesian stats, power analysis, assumption checks, APA reporting, for academic research.
Information about the differential fuzzer tool, how to run it and use it catch bugs in Turso. Always load this skill when running this tool
Use when building Vue 3 applications with JavaScript only (no TypeScript). Invoke for JSDoc typing, vanilla JS composables, .mjs modules.
Use when building Django web applications or REST APIs with Django REST Framework. Invoke for Django models, ORM optimization, DRF serializers, viewsets, authentication with JWT.
Run the Codex Readiness unit test report. Use when you need deterministic checks plus in-session LLM evals for AGENTS.md/PLANS.md.
Orchestrate end-to-end backend feature development from requirements to deployment. Use when coordinating multi-phase feature delivery across teams and services.
Visual verification workflow for UI changes to accelerate code review and catch ...
Backend services development with Python emphasizing security, performance, and maintainability for JARVIS AI Assistant