Total 56,912 skills
Showing 12 of 56912 skills
Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.
build
Stata statistical analysis for publication-ready sociology research. Guides you through phased workflows for DiD, IV, matching, panel methods, and more. Use when doing quantitative analysis in Stata for academic papers.
Create a standard PRD document package structure. Call it when starting a new project or initializing a PRD workspace.
Debug CI E2E failures from pull requests by inspecting GitHub checks, downloading Playwright reports, and mapping failures to local Nx commands. Use when debugging failed E2E tests in PR workflows.
Pyright fast Python type checker from Microsoft with VS Code integration and strict type checking modes
Upgrade JavaScript dependencies using npm-check-updates, then run post-upgrade checks to ensure nothing is broken.
Dotfile management with stow, chezmoi, or git bare repo for configuration sync across machines. Use when user asks to "manage dotfiles", "sync configs", "setup dotfiles", "backup shell config", or organize configuration files.
Help a CS or AI PhD student design hypothesis-driven experiments with baselines, variables, metrics, controls, logging, and stop conditions. Use this skill whenever the user is about to run experiments, compare models, plan an ablation, debug inconclusive results, prepare an experiment section, or wants to avoid changing too many things at once.
Organize research, discussions, and exploratory content into systematic knowledge documents, or collect and organize research information about companies/products. Use this skill when users request knowledge summarization, note organization, knowledge base document generation, or structuring discussion content into formal documents. It also applies to collecting and organizing research information about AI companies, startups, and products. Even if users don't explicitly mention "knowledge graph" or "knowledge base", this skill should be used for any workflow that involves sorting scattered information into systematic documents.
Unreal Engine networking specialist - Masters Actor replication, GameMode/GameState architecture, server-authoritative gameplay, network prediction, and dedicated server setup for UE5
Design and build multi-agent harness architectures for long-running AI application development. GAN-inspired Generator-Evaluator pattern, Sprint Contract negotiation, context management, quality criteria calibration. Based on Anthropic Engineering patterns. Use when: "build a harness", "multi-agent architecture", "agent orchestration", "generator-evaluator", "long-running app", "harness design", "agent pipeline", "quality evaluation loop", "sprint contract", "build app with agents", "Claude Agent SDK architecture", or when building complex full-stack apps that need planning → generation → evaluation cycles. Also use when discussing context degradation, self-evaluation bias, or assumption testing in AI workflows.