Writing, editing and reviewing documentation for the Apache TinkerPop project. Use when authoring or revising any content under docs/src/ — reference docs, recipes, tutorials, upgrade/release notes, provider and developer guides — or the CHANGELOG. Covers the TinkerPop documentation voice and the per-book style…
Graph-based PR review for Apache TinkerPop. Builds a knowledge graph from PR source code, enriches it with semantic relationships guided by domain playbooks, runs structural analysis, and produces an HTML evidence package. Use when asked to review a TinkerPop PR by number.
Instructions for apache/tinkerpop, covering agents.md, primary guidance: agent skills, planning and memory: beads, canonical documentation and licensing and provenance.
Audit the user-facing skill at skills/datafusionpython/SKILL.md against the current public Python API. Find new APIs that should be documented, stale mentions of removed/renamed APIs, examples that drifted from current idiomatic style, and places that need a "requires datafusion-python NN or newer" note. Run after…
Check if upstream Apache DataFusion features (functions, DataFrame ops, SessionContext methods, FFI types) are exposed in this Python project. Use when adding missing functions, auditing API coverage, or ensuring parity with upstream.
TRIGGER — read before adding, changing, or reviewing any datafusion capsule getter, any FFI export that asks for a TaskContextProvider or an extension codec, or any code that calls FFIQueryPlanner::new / FFITableProvider::new / FFI{Logical,Physical}ExtensionCodec::new. These methods are one protocol with a settled…
Audit and improve datafusion-python functions to accept native Python types (int, float, str, bool) instead of requiring explicit lit() or col() wrapping. Analyzes function signatures, checks upstream Rust implementations for type constraints, and applies the appropriate coercion pattern.
Use when the user is writing datafusion-python (Apache DataFusion Python bindings) DataFrame or SQL code. Covers imports, data loading, DataFrame operations, expression building, SQL-to-DataFrame mappings, idiomatic patterns, and common pitfalls.
AGENTS.md instructions for apache/camel-spring-boot-examples, covering apache camel spring boot examples - ai agent guidelines, project info, rules of engagement (essentials), repository structure and anatomy of an example.
Instructions for apache/camel-quarkus, covering apache camel quarkus - ai agent guidelines, project overview, what not to do, technology stack and repository structure.
Instructions for apache/texera: Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you under the Apache License, Version 2.0 (the…
Instructions for apache/camel-spring-boot, covering apache camel spring boot - ai agent guidelines, project info, ai agent rules of engagement, attribution and pr volume.
Instructions for apache/camel-spring-boot, covering apache camel spring boot - ai agent guidelines, project info, ai agent rules of engagement, attribution and pr volume.
Instructions for apache/camel-quarkus-examples, covering apache camel quarkus examples - ai agent guidelines, project info, rules of engagement (essentials), repository structure and anatomy of an example.
Apache Magpie agentic skills for maintaining open-source projects. Install the all-in-one magpie plugin, or per-family plugins to load only what you use.