Loading...
Loading...
Found 796 Skills
Specification-driven development from raw requirement to product design, technical design, task list, execution, and verification.
Use when planning a multi-step task or working in plan mode and you need to capture the plan as a durable, resumable artifact — breaking work into phases with per-item checkboxes, completion tracking, autonomous verification, and a handoff summary so a future agent can pick up where you left off. Use when user wants to create or design a plan or mentioned "real work".
Enrich a list of email addresses to find the person behind each one (email to person profile). Uses a 7-phase waterfall across Crustdata MCP tools: crustdata_company_identify, crustdata_people_enrich (business_email + personal_email), crustdata_people_search_db (three different filter strategies), crustdata_web_search. Handles rate limiting, verification, progress saving, and resume. Trigger on: "enrich these emails", "who are these people", "find info for these email addresses", "look up these contacts", "identify people from emails", "reverse email lookup", "email to profile", or when someone provides a list/CSV/spreadsheet of email addresses wanting contact info.
When the user wants to build data enrichment workflows, score leads against ICP, set up Clay waterfalls, or improve contact data quality. Also use when the user mentions 'enrichment,' 'data enrichment,' 'Clay,' 'waterfall enrichment,' 'ICP scoring,' 'lead scoring,' 'intent data,' 'contact verification,' 'Apollo,' 'ZoomInfo,' or 'data quality.' This skill covers lead enrichment waterfalls, ICP scoring frameworks, and contact verification systems.
Automated CLI-based parallel agent execution — spawn subagents via Gemini CLI, coordinate through MCP Memory, monitor progress, and run verification
Rigorous mathematical proof verification and fixing workflow. Reads a LaTeX proof, identifies gaps via cross-model review (Codex GPT-5.4 xhigh), fixes each gap with full derivations, re-reviews, and generates an audit report. Use when user says "检查证明", "verify proof", "proof check", "审证明", "check this proof", or wants rigorous mathematical verification of a theory paper.
Scaffold and fully configure a new Agentic Coding Starter Kit project — a Next.js 16 + TypeScript + Better Auth + Drizzle + PostgreSQL + AI SDK boilerplate. Use this skill whenever the user asks to set up, scaffold, create, initialize, or bootstrap an "agentic coding starter kit", "agentic app", "agentic boilerplate", a "Next.js app with auth and db", or mentions `create-agentic-app` / `npx create-agentic-app`. Walks the user through folder strategy, package-manager choice, Postgres setup (Docker / Neon / Vercel / BYO), OpenRouter AI configuration, migrations, a build check, and dev-server verification — ending with a working http://localhost:3000.
Clarify and compile project technical solutions. Use this when users need to determine the overall implementation approach, key technology trade-offs, module and file responsibilities, compatibility and verification boundaries for a problem, bug, function change, or existing requirement in combination with the current project, or when they need to create a technical document that can be understood by product, development, and testing teams and used for subsequent work. No prior requirement document is required, and it does not cover task breakdown, coding implementation, or project acceptance.
Implement a task with automated LLM-as-Judge verification for critical steps
Launch an intelligent sub-agent with automatic model selection based on task complexity, specialized agent matching, Zero-shot CoT reasoning, and mandatory self-critique verification
Execute a task with sub-agent implementation and LLM-as-a-judge verification with automatic retry loop
Step-by-step guide for deploying Webflow Code Components to a workspace. Covers authentication, pre-flight checks, deployment execution, and verification.