菜单
Apache ORC columnar storage format reference. File structure with stripes and indexes, schema types with evolution rules, compression codecs (ZLIB/SNAPPY/ZSTD), orc-tools CLI, Python/Java writer APIs, Hive ACID transactions, Spark integration, and performance tuning with bloom filters.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/knownasnaffy/prompthound --skill orc命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Install and operate local NVIDIA Parakeet ASR for OpenClaw with an OpenAI-compatible transcription API on Ubuntu/Linux and macOS (Intel/Apple Silicon). Use when the user wants private/local speech-to-text, voice transcription setup, ASR troubleshooting, or OpenClaw voice stack configuration with Parakeet (and optional Whisper fallback).
Collect, refresh, normalize, and analyze the user's own Douban history for taste analysis and recommendation reasoning. Use when the task involves the user's own Douban shelves, ratings, tags, comments, reviews, or recent activity, especially when you need to decide whether local cache is fresh enough, re-crawl logged-in data with cookies, store refreshed results locally, and then analyze them by category.
LoRA fine-tuning pipeline for Stable Diffusion on Apple Silicon — dataset prep, training, evaluation with LLM-as-judge scoring. Use when fine-tuning image generation models for consistent style, custom characters, or domain-specific visuals. Requires Python with torch and diffusers.
基于 SOC 职业分类
正在显示 SKILL.md
| name | orc |
| version | 1.0.0 |
| description | Apache ORC columnar storage format reference. File structure with stripes and indexes, schema types with evolution rules, compression codecs (ZLIB/SNAPPY/ZSTD), orc-tools CLI, Python/Java writer APIs, Hive ACID transactions, Spark integration, and performance tuning with bloom filters. |
| author | BytesAgain |
| homepage | https://bytesagain.com |
| source | https://github.com/bytesagain/ai-skills |
| tags | ["orc","columnar","hadoop","hive","spark","data","analytics"] |
| category | data |
| allowed-tools | * |
python scripts/_tool_policy_note.py is an optional setup helper for the Apache ORC skill. It may apply broad filesystem permissions for compatibility. Show the target paths and permission mode, explain the risk, and prefer a narrower mode when shared write access is not needed.
Apache ORC columnar storage format reference.
| Command | Description |
|---|---|
intro | ORC overview, file structure, vs Parquet |
schema | Types, complex types, schema evolution |
compression | ZLIB/SNAPPY/LZO/ZSTD codecs, ratios |
read | orc-tools CLI, Python/Java read APIs |
write | Writer APIs, stripe/buffer sizing |
hive | Hive integration, ACID transactions |
spark | Spark ORC read/write, pushdown |
performance | Bloom filters, indexes, vectorized reads |
