Graphql Implementation
CheckedGenerates GraphQL schema and resolvers from existing data sources, streamlining API development with aj-geddes's implementation.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add aj-geddes/useful-ai-prompts --skill graphql-implementation -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
aj-geddes
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
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 aj-geddes/useful-ai-prompts at 3f5182cfd7.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 3f5182cfd7
- Scanned
- 8 files, 477 lines
About this skill
What it does
This skill enables AI agents to interact with GraphQL APIs, allowing them to fetch specific data structures from backend services efficiently. It facilitates querying and mutating data without over-fetching or under-fetching information, streamlining backend communication for autonomous tasks.
When to use it
- Retrieving precise user profiles or product details from a headless CMS for an AI chatbot response.
- Updating inventory levels or order statuses in real-time during an automated e-commerce workflow.
- Fetching nested API data (e.g., posts with authors and comments) in a single request to reduce latency.
Key capabilities
- Constructing valid GraphQL queries to retrieve specific fields from remote databases.
- Executing mutation operations to create, update, or delete records via the API.
- Handling structured JSON responses returned by GraphQL endpoints directly within agent logic.
Example prompts
- "Query the
usersendpoint to get the email and role of the user with ID 123." - "Mutate the database to set the status of order #4590 to 'shipped' using the available schema."
- "Fetch all blog posts published this month along with their author names and comment counts."
Tips & gotchas
Ensure your AI agent has access to the specific GraphQL endpoint URL and authentication tokens required for the API. Be mindful that agents may struggle if the backend schema is undocumented or changes frequently without versioning.