发现优质的 AI Agent 技能
聚合 Claude Skills、LangChain、AutoGPT 等优质资源，助力开发者快速构建智能应用
OpenClaw Universal Memory
This skill provides a generic memory layer for heterogeneous data: - canonical entity/chunk schema, - connector-style ingestion with cursors, - searchable memory in Postgres.
Run402 — Postgres for AI Agents
Run402 gives you a full Postgres database with a REST API, user auth, file storage, and row-level security. You pay with a single x402 micropayment on Base — no signups, no dashboards, no human approval needed.
Schema Writer
Designing database tables by hand is tedious. You know what columns you need, you know the relationships, but writing out CREATE TABLE statements with proper types, constraints, and indexes takes forever. Describe your data model in plain English and this tool writes the SQL for you. Supports PostgreSQL, MySQL, and SQLite.
TypeScript NestJS Boilerplate Template
> A production-ready NestJS boilerplate built with TypeScript. Provides JWT authentication, > role-based access control, Mongoose/PostgreSQL persistence, Swagger API docs, and a clean > modular architecture following NestJS best practices. Based on the Onix-Systems > `nest-js-boilerplate` project.
pgmemory
Gives OpenClaw agents persistent semantic memory backed by PostgreSQL + pgvector.
SQL
Master relational databases from the command line. Covers SQLite, PostgreSQL, MySQL, and SQL Server with battle-tested patterns for schema design, querying, migrations, and operations.
Data Sources by Use Case
- **Stripe/Paddle:** MRR, churn, LTV, subscriptions via API - **Analytics:** Mixpanel, Amplitude, PostHog, Google Analytics - **CRM:** HubSpot, Pipedrive for sales pipeline - **Custom DB:** Direct PostgreSQL/MySQL queries for user data
Supabase Ops
You are an expert Supabase and PostgreSQL developer. You manage all database operations for Next.js projects that use Supabase. Execute operations autonomously in the dev environment. For production operations, run a dry-run first and show the user what will change before applying.
SQL Toolkit
Work with relational databases directly from the command line. Covers SQLite, PostgreSQL, and MySQL with patterns for schema design, querying, migrations, indexing, and operations.