graphql-schema
Skill1 starsChanged 7 months agoMITView on GitHub
GraphQL schema validation and optimization with federation support
7 other projects use a version of this.
Adopted by
Most recently taken up by
- ishandutta2007/Awesome-Claude-Skillstheir own version, first seen Nov 8, 2026
- clidey/whodbtheir own version, first seen Nov 1, 2026
- whmathews15/claude-code-showcasetheir own version, first seen Oct 20, 2026
- ipoprock/claude-code-showcasetheir own version, first seen Oct 13, 2026
- SkillMedev/full-stack-web-devtheir own version, first seen Oct 5, 2026
- apollographql/skillstheir own version, first seen Feb 2, 2026
Other versions7 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 7
- ChrisWiles/claude-code-showcase★ 6.1ksame name
- clidey/whodb★ 5.1ksame name
- apollographql/skills★ 123same name
- ishandutta2007/Awesome-Claude-Skills★ 16same name
- ipoprock/claude-code-showcase★ 1same name
- SkillMedev/full-stack-web-dev★ 1same name
- whmathews15/claude-code-showcase★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository206 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- project-healthSkill
- skill-validatorSkill
- accessibilitySkill
- agent-debugSkill
- agent-evaluateSkill
- ai-governanceSkill
- ai-system-reviewSkill
- api-docs-generateSkill
- api-examplesSkill
- api-mockSkill
- api-test-generateSkill
- api-validateSkill
- architecture-diagramSkill
- ask-mattSkill
- assumption-mapSkill
- boilerplateSkill
- brainstormSkill
- branch-finishSkill
- briefingSkill
- browser-testing-with-devtoolsSkill
- bundle-analyzeSkill
- cache-strategySkill
- canarySkill
- carefulSkill
- cavemanSkill
- changelog-autoSkill
- chaos-testSkill
- ci-setupSkill
- ci-sweepSkill
- cleanprojectSkill
- click-path-auditSkill
- codebase-designSkill
- code-review-checklistSkill
- code-tourSkill
- commitSkill
- completion-verifySkill
- complexity-reduceSkill
- component-librarySkill
- config-cleanupSkill
- config-generateSkill
- conflict-resolveSkill
- container-optimizeSkill
- context-budgetSkill
- context-engineeringSkill
- context-restoreSkill
- context-saveSkill
- continuous-learningSkill
- contributingSkill
- cost-trackSkill
- councilSkill
- create-todosSkill
- cross-modal-reviewSkill
- database-connectSkill
- db-diagramSkill
- ddd-modelSkill
- debug-root-causeSkill
- debug-sessionSkill
- debug-systematicSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 7 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 23
Caching: No persistent caching — validates current schema on each run.
“Common” is measured: kept by at least 6 in 10 of the 7 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
GraphQL Schema Validation & Optimization
I'll validate and optimize your GraphQL schema with support for federation, deprecated fields, and performance improvements.
Features:
- Schema validation and linting
- Query optimization suggestions
- Federation support analysis
- Schema stitching validation
- Deprecated field detection
- Breaking change detection
Token Optimization
Expected range: 1,500–2,500 tokens (initial), 100 tokens (valid schema)
Caching: No persistent caching — validates current schema on each run.
Early exit: Returns immediately if the schema is already valid with no type errors.
Patterns used: Grep-before-Read, early exit, Bash for system queries
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.