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Apollo Graphql

Checked
mindrally·vlatest·backend·Apache-2.0

Queries GraphQL APIs using structured prompts, retrieving data and transforming it into usable formats for your application.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add mindrally/skills --skill apollo-graphql -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

mindrally

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Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned mindrally/skills at 7682ca7771.

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Commit
7682ca7771
Manifest
apollo-graphql/SKILL.md
Scanned
1 file, 558 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill, Apollo GraphQL, enables AI agents to interact with GraphQL APIs using structured prompts. It leverages best practices for Apollo Client development, including state management, data fetching via queries and mutations, reusable query fragments, TypeScript type safety, and robust error handling. The agent can retrieve data from GraphQL endpoints and transform the results into usable formats suitable for various application needs.

When to use it

  • Data Retrieval: When you need an AI agent to fetch specific data from a GraphQL API based on defined criteria (e.g., "Get all users with role 'admin'").
  • Application Integration: To integrate external GraphQL APIs into your applications, allowing the agent to populate data for reports or dashboards.
  • Data Transformation: When you need the AI agent to structure and format retrieved data from a GraphQL API into a specific format required by another system.
  • Automated Data Updates: To automate modifications to data stored within a GraphQL backend using mutations (e.g., "Create a new user with these details").

Key capabilities

  • Apollo Client Integration: Utilizes Apollo Client for efficient state management and caching.
  • GraphQL Query Execution: Executes GraphQL queries based on structured prompts.
  • Mutation Handling: Supports data modifications through GraphQL mutations.
  • Fragment Reusability: Leverages fragments to promote code reuse in query definitions.
  • TypeScript Support: Employs TypeScript for enhanced type safety and developer experience.
  • Error Handling: Implements robust error handling mechanisms for network and GraphQL errors.

Example prompts

  • "Fetch all users with the role 'admin' from the GraphQL API."
  • "Create a new post with title 'My New Post' and content 'This is my post content'."
  • "Get the user details for ID 123 using the GraphQL API."

Tips & gotchas

  • GraphQL Endpoint Required: This skill requires access to a valid GraphQL endpoint configured in the NEXT_PUBLIC_GRAPHQL_ENDPOINT environment variable.
  • Schema Knowledge: The agent needs to have knowledge of the GraphQL schema (types, fields) to construct correct queries and mutations.
  • TypeScript Types: For optimal performance and type safety, ensure that generated TypeScript types are available for the GraphQL operations.