Skills Plugins MCP Prompt Model 博客 我的中心
开发编程 #data #github #docker

data-processing

Process JSON with jq and YAML/TOML with yq. Filter, transform, query structured data efficiently. Triggers on: parse JSON, extract from YAML, query config, Docker Compose, K8s manifests, GitHub Actions workflows, package.json, filter data.

DeepseekModel 官方收录技能 质量 良好 · 64 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=0xdarkmatter-claude-mods-skills-data-processing-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name data-processing description Process JSON with jq and YAML/TOML with yq. Filter, transform, query structured data efficiently. Triggers on: parse JSON, extract from YAML, query config, Docker Compose, K8s manifests, GitHub Actions workflows, package.json, filter data. license MIT compatibility Requires jq and yq CLI tools. Install: brew install jq yq (macOS). allowed-tools Bash Read metadata {"author":"claude-mods"} Data Processing Query, filter, and transform structured data (JSON, YAML, TOML) efficiently from the command line. Tools Tool Command Use For jq jq '.key' file.json JSON processing yq yq '.key' file.yaml YAML/TOML processing jq Essentials # Extract single field jq '.name' package.json # Extract nested field jq '.scripts.build' package.json # Extract from array jq '.dependencies[0]' package.json # Extract multiple fields jq '{name, version}' package.json # Navigate deeply nested jq '.data.users[0].profile.email' response.json # Filter by condition jq '.users[] | select(.active == true)' data.json # Transform each element jq '.users | map({id, name})' data.json # Count elements jq '.users | length' data.json # Raw string output jq -r '.name' package.json yq Essentials # Extract field yq '.name' config.yaml # Extract nested yq '.services.web.image' docker-compose.yml # List all keys yq 'keys' config.yaml # List all service names (Docker Compose) yq '.services | keys' docker-compose.yml # Get container images (K8s) yq '.spec.template.spec.containers[].image' deployment.yaml # Update value (in-place) yq -i '.version = "2.0.0"' config.yaml # TOML to JSON yq -p toml -o json '.' config.toml Quick Reference Task jq yq Get field jq '.key' yq '.key' Array element jq '.[0]' yq '.[0]' Filter array jq '.[] | select(.x)' yq '.[] | select(.x)' Transform jq 'map(.x)' yq 'map(.x)' Count jq 'length' yq 'length' Keys jq 'keys' yq 'keys' Pretty print jq '.' yq '.' Compact jq -c yq -o json -I0 Raw output jq -r yq -r In-place edit - yq -i When to Use Reading package.json dependencies Parsing Docker Compose configurations Analyzing Kubernetes manifests Processing GitHub Actions workflows Extracting data from API responses Filtering large JSON datasets Config file manipulation Data format conversion Additional Resources For complete pattern libraries, load: ./references/jq-patterns.md - Arrays, filtering, transformation, aggregation, output formatting ./references/yq-patterns.md - Docker Compose, K8s, GitHub Actions, TOML, YAML modification ./references/config-files.md - package.json, tsconfig, eslint/prettier patterns
Agent 识别该技能的关键词,点击任意一个即可复制。

该技能未提供触发词。

下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

验证码 --

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。