Agent skill

JSON To LLM Context

by aiskillstore in aiskillstore/marketplace

Turn JSON or PostgreSQL jsonb payloads into compact readable context for LLMs.

No licenceAuto-check passedDatabases

Install JSON To LLM Context

skills CLI
$ npx skills add aiskillstore/marketplace --skill json-to-llm-context -a claude-code

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

GitHub CLI
$ gh skill install aiskillstore/marketplace json-to-llm-context --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/vc999999999/json-to-llm-context .claude/skills/json-to-llm-context && 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
json-to-llm-context
GitHub stars
433
Token cost
~1k tokens
SKILL.md length
379 words
Files
5 (incl. scripts, references)
Skills in repo
1,044
Repo updated
First seen
Licence
None found

At a glance

Turn JSON or PostgreSQL jsonb payloads into compact readable context for LLMs.

  • Works in 5 steps: Confirm the input is valid JSON or… → Run scripts/json_to_readable_context.py… → Return the generated readable summary as… → …
  • A user wants to compress JSON
  • SKILL.md covers Overview, Workflow, Quick Start and Output Style, plus 5 more sections
  • Runs Python scripts from its folder; calls python3

What it does

JSON To LLM Context is an agent skill from aiskillstore/marketplace. Turn JSON or PostgreSQL jsonb payloads into compact readable context for LLMs. Use when a user wants to compress JSON, reduce token usage, summarize API responses, or convert structured data into model-friendly text without dumping raw paths.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/rules.md` and `scripts/json_to_readable_context.py`).

It sits in Databases, covering LLM cost and token optimization and Schema markup. It works with PostgreSQL. The repository describes itself as: Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified.

When your agent uses it

  • A user wants to compress JSON
  • Reduce token usage
  • Summarize API responses
  • Convert structured data into model-friendly text without dumping raw paths

Example prompts

  • “/json-to-llm-context”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Confirm the input is valid JSON or jsonb-style JSON text.
  2. Run scripts/json_to_readable_context.py on the file or pipe JSON through stdin.
  3. Return the generated readable summary as the primary artifact.
  4. If the output still feels too long, rerun with tighter limits such as lower --max-samples,
  5. If parsing fails, report the JSON error clearly instead of guessing.

What it can do on your machine

Read from SKILL.md and the folder at commit 44923f3. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

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

    Shell commands in SKILL.md call:

    • python3

    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.

Context cost

JSON To LLM Context loads about 1k tokens when it runs, and up to ~1.7k if it reads all its reference files. Until then it costs about 66 tokens; SKILL.md has 379 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~66
When it runs · the whole SKILL.md, loaded when a task matches
~1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.7k

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 passed

The automated check found no risky patterns in SKILL.md.

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 379 words (~1,044 tokens).

“Use this skill when raw JSON is too noisy for direct prompting. It converts JSON or exported jsonb content into short, readable summaries that preserve entities, status, relationships, and counts.”

— opening of SKILL.md by aiskillstore
name
json-to-llm-context

Read the full SKILL.md on GitHub

Files

SKILL.md and 4 other files (scripts, references) in skills/vc999999999/json-to-llm-context of aiskillstore/marketplace.

  • SKILL.md
  • agents/openai.yaml
  • references/rules.md
  • scripts/json_to_readable_context.py
  • skill-report.json

Open the folder on GitHubat commit 44923f3

Compare with similar skills

JSON To LLM Context 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.

JSON To LLM Context compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
JSON To LLM Context this skillaiskillstore/marketplace433—~1kAutomated safety check: PassNone
Digoaldigoal/blog8.6k—~2.2kAutomated safety check: PassGPL-2.0
Gaik ToolkitGAIK-project/gaik-toolkit100—~5.7kAutomated safety check: PassMIT
Postgrestimescale/pg-aiguide1.9k—~941Automated safety check: PassApache-2.0
Payload Cmstextura-agency/next16-claude-starter133—~3.7kAutomated safety check: NotesUnlicense
Pixeltablepixeltable/pixeltable1.6k—~216Automated safety check: PassApache-2.0

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Works with

Questions about JSON To LLM Context

What does JSON To LLM Context do?

Turn JSON or PostgreSQL jsonb payloads into compact readable context for LLMs. JSON To LLM Context is an agent skill from aiskillstore/marketplace. Turn JSON or PostgreSQL jsonb payloads into compact readable context for LLMs.

When should I use JSON To LLM Context?

JSON To LLM Context fits situations like: A user wants to compress JSON; reduce token usage; summarize API responses; convert structured data into model-friendly text without dumping raw paths.

How do I install JSON To LLM Context in Claude Code?

Run `npx skills add aiskillstore/marketplace --skill json-to-llm-context -a claude-code`. Or copy the skill folder (skills/vc999999999/json-to-llm-context in aiskillstore/marketplace) into .claude/skills/json-to-llm-context in your project. Claude Code loads it when a task matches its description.

How do I install JSON To LLM Context in Codex?

Run `npx skills add aiskillstore/marketplace --skill json-to-llm-context -a codex`. Or copy the skill folder (skills/vc999999999/json-to-llm-context in aiskillstore/marketplace) into .agents/skills/json-to-llm-context in your project. Codex loads it when a task matches its description.

Can I use JSON To LLM Context 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 json-to-llm-context -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/json-to-llm-context, .gemini/skills/json-to-llm-context, .github/skills/json-to-llm-context and .opencode/skills/json-to-llm-context in your project.

What does JSON To LLM Context need to run?

Going by SKILL.md and its folder, JSON To LLM Context needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does JSON To LLM Context 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 JSON To LLM Context safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. 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 JSON To LLM Context use?

No licence was found for JSON To LLM Context or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does JSON To LLM Context use?

About 1k tokens (SKILL.md is roughly 4.2k 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 683 tokens, read only when the agent opens those files.

What are the alternatives to JSON To LLM Context?

Skills that share tags, products or a category with JSON To LLM Context: Digoal (digoal/blog, 8.6k stars), Gaik Toolkit (GAIK-project/gaik-toolkit, 100 stars), Postgres (timescale/pg-aiguide, 1.9k stars) and Payload Cms (textura-agency/next16-claude-starter, 133 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains JSON To LLM Context?

aiskillstore (a GitHub organization) maintains it in aiskillstore/marketplace, which has 433 GitHub stars. The repository holds 1,044 skills in this directory. The repository was last updated on October 10, 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.