Agent skill

Data Processing

by aiskillstore in aiskillstore/marketplace

Process JSON with jq and YAML/TOML with yq. An agent skill from aiskillstore/marketplace.

MITAuto-check: notesDevOps & Cloud

Install Data Processing

skills CLI
$ npx skills add aiskillstore/marketplace --skill data-processing -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aiskillstore/marketplace data-processing --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/0xdarkmatter/data-processing .claude/skills/data-processing && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
data-processing
GitHub stars
430
Used in
1 other repo
Token cost
~720 tokens
SKILL.md length
156 words
Files
7 (incl. scripts, references, assets)
Skills in repo
1,085
Repo updated
First seen
Licence
MIT

At a glance

Process JSON with jq and YAML/TOML with yq. An agent skill from aiskillstore/marketplace.

  • Extract from YAML
  • SKILL.md covers Tools, jq Essentials, yq Essentials and Quick Reference, plus 2 more sections
  • Calls jq and yq
  • GitHub Actions workflows

What it does

Data Processing is an agent skill from aiskillstore/marketplace. 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.

Its SKILL.md is about 720 tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts, reference files and assets (for example `references/config-files.md`, `references/jq-patterns.md` and `references/yq-patterns.md`). Compatibility notes: Requires jq and yq CLI tools. Install: brew install jq yq (macOS).

It sits in DevOps & Cloud, covering Container orchestration, Containers and Schema markup. It works with Kubernetes, Docker, GitHub Actions and npm. The repository describes itself as: Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified. The licence is MIT.

When your agent uses it

  • Extract from YAML
  • GitHub Actions workflows

Example prompts

  • “/data-processing”

Requirements

  • Docker
  • Compatibility (from SKILL.md): Requires jq and yq CLI tools. Install: brew install jq yq (macOS).
  • Pre-approved tools (allowed-tools): Bash, Read

What it can do on your machine

Read from SKILL.md and the folder at commit 4ac52da. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash
    • Read

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/, which the agent can run.

    Shell commands in SKILL.md call:

    • jq
    • yq

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Requires jq and yq CLI tools. Install: brew install jq yq (macOS).

    From compatibility in the SKILL.md frontmatter.

Context cost

Data Processing loads about 720 tokens when it runs, and up to ~2.2k if it reads all its reference files. Until then it costs about 64 tokens; SKILL.md has 156 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~64
When it runs · the whole SKILL.md, loaded when a task matches
~720
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Bash, Read

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from aiskillstore/marketplace at commit 4ac52da, republished under its MIT licence (© aiskillstore). 156 words, ~720 tokens.

Download SKILL.mdSave it as .claude/skills/data-processing/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
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.
allowed-tools
Bash, Read
compatibility
Requires jq and yq CLI tools. Install: brew install jq yq (macOS).
license
MIT
metadata.author
claude-mods

Data Processing

Query, filter, and transform structured data (JSON, YAML, TOML) efficiently from the command line.

Tools

ToolCommandUse For
jqjq '.key' file.jsonJSON processing
yqyq '.key' file.yamlYAML/TOML processing

jq Essentials

bash
# 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

bash
# 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

Taskjqyq
Get fieldjq '.key'yq '.key'
Array elementjq '.[0]'yq '.[0]'
Filter arrayjq '.[] | select(.x)'yq '.[] | select(.x)'
Transformjq 'map(.x)'yq 'map(.x)'
Countjq 'length'yq 'length'
Keysjq 'keys'yq 'keys'
Pretty printjq '.'yq '.'
Compactjq -cyq -o json -I0
Raw outputjq -ryq -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

© aiskillstore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (scripts, references, assets) in skills/0xdarkmatter/data-processing of aiskillstore/marketplace.

  • SKILL.md
  • assets/.gitkeep
  • references/config-files.md
  • references/jq-patterns.md
  • references/yq-patterns.md
  • scripts/.gitkeep
  • skill-report.json

Open the folder on GitHubat commit 4ac52da

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in aiskillstore/marketplace, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Data Processing next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Data Processing compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Data Processing this skillaiskillstore/marketplace4301 repos~720Automated safety check: NotesMIT
Devops Automationrohitg00/awesome-claude-code-toolkit2.7k—~1.6kAutomated safety check: PassApache-2.0
Devops Excellencemajiayu000/spellbook286—~2.4kAutomated safety check: NotesMIT
Devops Deploymentyonatangross/orchestkit288—~2.7kAutomated safety check: PassMIT
Configuration GeneratorArabelaTso/Skills-4-SE253—~2.8kAutomated safety check: NotesApache-2.0
GitHub Runnermagnus919/agent-skills111—~1.7kAutomated safety check: PassMIT

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Categories

Questions about Data Processing

What does Data Processing do?

Process JSON with jq and YAML/TOML with yq. An agent skill from aiskillstore/marketplace. Data Processing is an agent skill from aiskillstore/marketplace. Process JSON with jq and YAML/TOML with yq.

When should I use Data Processing?

Data Processing fits situations like: extract from YAML; GitHub Actions workflows.

How do I install Data Processing in Claude Code?

Run `npx skills add aiskillstore/marketplace --skill data-processing -a claude-code`. Or copy the skill folder (skills/0xdarkmatter/data-processing in aiskillstore/marketplace) into .claude/skills/data-processing in your project. Claude Code loads it when a task matches its description.

How do I install Data Processing in Codex?

Run `npx skills add aiskillstore/marketplace --skill data-processing -a codex`. Or copy the skill folder (skills/0xdarkmatter/data-processing in aiskillstore/marketplace) into .agents/skills/data-processing in your project. Codex loads it when a task matches its description.

Can I use Data Processing in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aiskillstore/marketplace --skill data-processing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/data-processing, .gemini/skills/data-processing, .github/skills/data-processing and .opencode/skills/data-processing in your project.

What does Data Processing need to run?

Going by SKILL.md and its folder, Data Processing needs the command-line tools its instructions call (jq and yq). Our summary lists: Docker. Its frontmatter pre-approves these tools: Bash, Read. Compatibility (from SKILL.md): Requires jq and yq CLI tools. Install: brew install jq yq (macOS)..

Does Data Processing access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Data Processing safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Data Processing use?

Data Processing is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Data Processing use?

About 720 tokens (SKILL.md is roughly 2.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.5k tokens, read only when the agent opens those files.

What are the alternatives to Data Processing?

Skills that share tags, products or a category with Data Processing: Devops Automation (rohitg00/awesome-claude-code-toolkit, 2.7k stars), Devops Excellence (majiayu000/spellbook, 286 stars), Devops Deployment (yonatangross/orchestkit, 288 stars) and Configuration Generator (ArabelaTso/Skills-4-SE, 253 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Data Processing?

aiskillstore (a GitHub organization) maintains it in aiskillstore/marketplace, which has 430 GitHub stars. The repository holds 1,085 skills in this directory. The repository was last updated on October 7, 2026.

Source: aiskillstore/marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.