SKILL.md packages that extend Claude Code, Cursor, Copilot, and other AI agents.
Tags

kilo-marketplace
Guides agents to build, modify, test, and validate dbt models and SQL transformations for analytics engineering workflows.

dataframely
Guidelines and best practices for defining typed Polars schemas and collections, validating data frames, and writing tests using Dataframely.

awesomesalesforceskills
Best-practice patterns for designing reliable Salesforce Bulk API 2.0 ingest and query pipelines, including UploadComplete semantics, locator pagination, partia

sq
Use the sq CLI to query and wrangle structured data (CSV, JSON, Excel, SQL DBs) with SLQ or native SQL; inspect sources, run diffs, and export in multiple forma

surreal-skills
CLI tool to migrate and continuously sync data from MongoDB, MySQL, PostgreSQL, Neo4j, Kafka, and JSONL into SurrealDB with CDC support.

dlthub-ai-workbench
Diagnose and fix dlthub transformation failures: SQL dialect incompatibility, pipeline state errors, and missing columns after deployment.

clawdata
Run and manage dbt projects via the dbt CLI — initialise projects, run/build models, run tests, generate docs, and debug pipelines.

clawdata
Run SQL and explore a project DuckDB warehouse: list tables, inspect schemas, run queries, and ingest CSV/Parquet/JSON files for ad-hoc analysis.

drift
Group and deduplicate multi-source events/articles using ID- and content-based grouping, reputation scoring, and canonical selection to pick the best version.

agent-almanac
Insert PUT-style workflow annotations into source files (30+ languages) to generate structured workflows and Mermaid diagrams using putior.

pasb
Quickly profile, triage, and summarise local data files (CSV/TSV/JSON/JSONL) and logs with safe defaults and reversible cleaning steps.

fabric-skills-settings
Operational skill for managing Microsoft Fabric data platforms: run VACUUM, orchestrate DAGs, update inventory, and perform maintenance routines and GDPR-safe p

digital-marketing-pro
Universal import pipeline to load CSV, JSON, or Google Sheets into CRMs and marketing platforms with field mapping, validation, deduplication, consent checks, a

db-gpt
Analyze Walmart weekly sales versus unemployment to produce charts, regression analysis, and a polished HTML report with business recommendations.

vm0-skills
Run Apify Actors to scrape websites and fetch structured data (sync or async). Ideal when users ask to extract data, crawl pages, or run web-scraper actors.

product-forge
Provides dbt project patterns, example models, testing snippets, and best practices for building staging→marts pipelines and tests in analytics engineering.

workflows
Standards and enforcement guidance for querying WRDS data and running SAS/ETL on the WRDS grid—includes query validation, SGE submission patterns, and performan

skills
Interact with Copper CRM data via the Membrane CLI: list and manage customers, subscriptions, invoices, products and run proxied API requests.

claude-code-plugins-plus-skills
Automates creation and configuration of change-data-capture (CDC) data pipelines: generates configs, code snippets, validations and best-practice recommendation

claude-skill-registry
Provides dbt project patterns and examples for staging, incremental models, testing, and best practices for analytics engineering.

skills
Integration helper that guides use of the Membrane CLI to connect to Parser Expert, run parse actions, and proxy API requests for extracting structured data fro

leoyeai
Track origin, transformations and flow of construction project data to produce auditable lineage, impact analysis, and mermaid graphs for debugging and complian

skillsbench
Production-ready data engineering skill for designing ETL/ELT and real-time streaming pipelines, data quality, and pipeline performance optimization.

wanwu
Extract structured data from images and documents and safely import it into a platform data flow using ontology commands (CSV import only).

awesome-skills
A senior-data-engineer-style skill for pandas: idiomatic DataFrame transformations, ETL pipelines, performance tuning, and time-series operations in Python.

diegosouzapw
Guidance and operational workflow for designing scalable, reliable batch and streaming data pipelines—keeps upstream provenance and copied support files intact.