关于
This skill enables command-line interaction with GraphQL APIs using tools like gh api graphql, curl, and jq. It helps developers discover schemas via introspection, construct queries/mutations, and chain operations by piping data between calls. Use it for automating GitHub workflows or integrating any GraphQL endpoint into CLI scripts.
快速安装
Claude Code
推荐npx skills add pjt222/agent-almanac -a claude-code/plugin add https://github.com/pjt222/agent-almanacgit clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/use-graphql-api在 Claude Code 中复制并粘贴此命令以安装该技能
技能文档
Use GraphQL API
Discover, construct, execute, and chain GraphQL operations from the command line.
When to Use
- Querying or mutating data via a GraphQL endpoint (GitHub, Hasura, Apollo, etc.)
- Automating GitHub operations that require GraphQL (Discussions, Projects v2)
- Building shell scripts that fetch structured data from GraphQL APIs
- Chaining multiple GraphQL calls where output of one feeds into the next
Inputs
- Required: GraphQL endpoint URL or service name (e.g.,
github) - Required: Operation intent (what data to read or write)
- Optional: Authentication token or method (default:
ghCLI auth for GitHub) - Optional: Output format preference (raw JSON, jq-filtered, variable assignment)
Procedure
Step 1. Discover the Schema
Determine available types, fields, queries, and mutations.
For GitHub:
# List available query fields
gh api graphql -f query='{ __schema { queryType { fields { name description } } } }' \
| jq '.data.__schema.queryType.fields[] | {name, description}'
# List available mutation fields
gh api graphql -f query='{ __schema { mutationType { fields { name description } } } }' \
| jq '.data.__schema.mutationType.fields[] | {name, description}'
# Inspect a specific type
gh api graphql -f query='{
__type(name: "Repository") {
fields { name type { name kind ofType { name } } }
}
}' | jq '.data.__type.fields[] | {name, type: .type.name // .type.ofType.name}'
For generic endpoints:
# Full introspection query via curl
curl -s -X POST https://api.example.com/graphql \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $TOKEN" \
-d '{"query":"{ __schema { types { name kind fields { name } } } }"}' \
| jq '.data.__schema.types[] | select(.kind == "OBJECT") | {name, fields: [.fields[].name]}'
Got: JSON output listing available types, fields, or mutations. The schema response confirms the endpoint is reachable and the auth token is valid.
If fail:
401 Unauthorized— verify the token; for GitHub, rungh auth statusCannot query field— the endpoint may disable introspection; consult its documentation instead- Connection refused — verify the endpoint URL and network access
Step 2. Identify the Operation Type
Determine whether your task requires a query (read), mutation (write), or subscription (stream).
| Intent | Operation | Example |
|---|---|---|
| Fetch data | query | Get repository details, list discussions |
| Create/update/delete | mutation | Create a discussion, add a comment |
| Real-time updates | subscription | Watch for new issues (rare in CLI) |
For GitHub-specific operations, consult the GitHub GraphQL API docs.
# Quick check: does the mutation exist?
gh api graphql -f query='{ __schema { mutationType { fields { name } } } }' \
| jq '.data.__schema.mutationType.fields[].name' | grep -i "discussion"
Got: Clear identification of whether a query or mutation is needed, plus the exact operation name (e.g., createDiscussion, repository).
If fail:
- Operation not found — search with broader terms or check the API version
- Unclear whether query or mutation — if the action changes state, it is a mutation
Step 3. Construct the Operation
Build the GraphQL query or mutation with fields, arguments, and variables.
Query example — fetch a repository's discussion categories:
gh api graphql -f query='
query($owner: String!, $repo: String!) {
repository(owner: $owner, name: $repo) {
discussionCategories(first: 10) {
nodes { id name }
}
}
}
' -f owner="OWNER" -f repo="REPO" | jq '.data.repository.discussionCategories.nodes'
Mutation example — create a GitHub Discussion:
gh api graphql -f query='
mutation($repoId: ID!, $categoryId: ID!, $title: String!, $body: String!) {
createDiscussion(input: {
repositoryId: $repoId,
categoryId: $categoryId,
title: $title,
body: $body
}) {
discussion { url number }
}
}
' -f repoId="$REPO_ID" -f categoryId="$CAT_ID" \
-f title="My Discussion" -f body="Discussion body here"
Key construction rules:
- Always use variables (
$var: Type!) instead of inline values for reusability - Request only the fields you need to minimize response size
- Use
first: Nwithnodesfor paginated connections - Add
idto every object selection — you will need it for chaining
Got: A syntactically valid GraphQL operation with appropriate variables, field selections, and pagination parameters.
If fail:
- Syntax errors — check bracket matching and trailing commas (GraphQL has no trailing commas)
- Type mismatch — verify variable types against the schema (e.g.,
ID!vsString!) - Missing required fields — add required input fields per the schema
Step 4. Execute via CLI
Run the operation and capture the response.
GitHub — using gh api graphql:
# Simple query
gh api graphql -f query='{ viewer { login } }'
# With variables
gh api graphql \
-f query='query($owner: String!, $repo: String!) {
repository(owner: $owner, name: $repo) { id name }
}' \
-f owner="octocat" -f repo="Hello-World"
# With jq post-processing
REPO_ID=$(gh api graphql \
-f query='query($owner: String!, $repo: String!) {
repository(owner: $owner, name: $repo) { id }
}' \
-f owner="OWNER" -f repo="REPO" \
--jq '.data.repository.id')
Generic endpoint — using curl:
curl -s -X POST "$GRAPHQL_ENDPOINT" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $TOKEN" \
-d "$(jq -n \
--arg query 'query { users { id name } }' \
'{query: $query}'
)"
Got: A JSON response with a data key containing the requested fields, or an errors array if the operation failed.
If fail:
errorsarray in response — read the message; common causes are missing permissions, invalid IDs, or rate limits- Empty
data— the query matched no records; verify input values - HTTP 403 — the token lacks the required scope; for GitHub, check
gh auth statusand add scopes withgh auth refresh -s scope
Step 5. Parse the Response
Extract the data you need from the JSON response.
# Extract a single value
gh api graphql -f query='{ viewer { login } }' --jq '.data.viewer.login'
# Extract from a list
gh api graphql -f query='
query($owner: String!, $repo: String!) {
repository(owner: $owner, name: $repo) {
issues(first: 5, states: OPEN) {
nodes { number title }
}
}
}
' -f owner="OWNER" -f repo="REPO" \
--jq '.data.repository.issues.nodes[] | "\(.number): \(.title)"'
# Assign to a variable for later use
CATEGORY_ID=$(gh api graphql -f query='
query($owner: String!, $repo: String!) {
repository(owner: $owner, name: $repo) {
discussionCategories(first: 20) {
nodes { id name }
}
}
}
' -f owner="OWNER" -f repo="REPO" \
--jq '.data.repository.discussionCategories.nodes[] | select(.name == "Show and Tell") | .id')
Got: Clean, extracted values ready for display or assignment to shell variables.
If fail:
jqreturns null — the field path is wrong; pipe raw JSON tojq .first to inspect structure- Multiple values when expecting one — add a
select()filter or| first - Unicode issues — add
-rto jq for raw string output
Step 6. Chain Operations
Use output from one operation as input to the next.
# Step A: Get the repository ID
REPO_ID=$(gh api graphql \
-f query='query($owner: String!, $repo: String!) {
repository(owner: $owner, name: $repo) { id }
}' \
-f owner="$OWNER" -f repo="$REPO" \
--jq '.data.repository.id')
# Step B: Get the discussion category ID
CAT_ID=$(gh api graphql \
-f query='query($owner: String!, $repo: String!) {
repository(owner: $owner, name: $repo) {
discussionCategories(first: 20) {
nodes { id name }
}
}
}' \
-f owner="$OWNER" -f repo="$REPO" \
--jq '.data.repository.discussionCategories.nodes[]
| select(.name == "Show and Tell") | .id')
# Step C: Create the discussion using both IDs
RESULT=$(gh api graphql \
-f query='mutation($repoId: ID!, $catId: ID!, $title: String!, $body: String!) {
createDiscussion(input: {
repositoryId: $repoId,
categoryId: $catId,
title: $title,
body: $body
}) {
discussion { url number }
}
}' \
-f repoId="$REPO_ID" -f catId="$CAT_ID" \
-f title="$TITLE" -f body="$BODY" \
--jq '.data.createDiscussion.discussion')
echo "Created: $(echo "$RESULT" | jq -r '.url')"
Pattern: Always extract id fields in earlier queries so they can be passed as ID! variables to subsequent mutations.
Got: A multi-step workflow where each call succeeds and IDs flow correctly between operations.
If fail:
- Variable is empty — a previous step failed silently; add
set -eand check each intermediate value - ID format wrong — GitHub node IDs are opaque strings (e.g.,
R_kgDO...); never construct them manually - Rate limited — add
sleep 1between calls or batch queries using aliases
Validation
- Introspection query returns schema data (Step 1 succeeds)
- Constructed queries are syntactically valid (no GraphQL parser errors)
- Responses contain
datakeys withouterrors - Extracted values match expected types (IDs are non-empty strings, counts are numbers)
- Chained operations complete end-to-end (mutation uses IDs from prior queries)
Pitfalls
| Pitfall | Prevention |
|---|---|
Forgetting ! on required variable types | Always check schema for nullability; most input fields are non-null (!) |
| Using REST IDs in GraphQL | GraphQL uses opaque node IDs; fetch them via GraphQL, not REST |
| Not paginating large result sets | Use first/after with pageInfo { hasNextPage endCursor } |
| Hardcoding IDs instead of querying them | IDs differ between environments; always query dynamically |
Ignoring the errors array | Check for errors even when data is present — partial errors are possible |
| Shell quoting issues with nested JSON | Use --jq flag with gh or pipe through jq separately |
Related Skills
- scaffold-nextjs-app — scaffolding web apps that consume GraphQL APIs
- create-pull-request — GitHub workflow automation (REST-based counterpart)
- manage-git-branches — Git operations often paired with API automation
- serialize-data-formats — JSON parsing patterns used in response handling
GitHub 仓库
Frequently asked questions
What is the use-graphql-api skill?
use-graphql-api is a Claude Skill by pjt222. Skills package instructions and resources that Claude loads on demand, so Claude can perform use-graphql-api-related tasks without extra prompting.
How do I install use-graphql-api?
Use the install commands on this page: add use-graphql-api to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does use-graphql-api belong to?
use-graphql-api is in the Meta category, tagged ai, api, automation, design and data.
Is use-graphql-api free to use?
Yes. use-graphql-api is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
相关推荐技能
Content Collections 是一个 TypeScript 优先的构建工具,可将本地 Markdown/MDX 文件转换为类型安全的数据集合。它专为构建博客、文档站和内容密集型 Vite+React 应用而设计,提供基于 Zod 的自动模式验证。该工具涵盖从 Vite 插件配置、MDX 编译到生产环境部署的完整工作流。
这个Claude Skill为开发者提供完整的Polymarket预测市场开发支持,涵盖API调用、交易执行和市场数据分析。关键特性包括实时WebSocket数据流,可监控实时交易、订单和市场动态。开发者可用它构建预测市场应用、实施交易策略并集成实时市场预测功能。
该Skill帮助开发者创建OpenCode插件,用于接入命令、文件、LSP等25+种事件。它提供了插件结构、事件API规范和JavaScript/TypeScript实现模式,适合需要拦截操作、扩展功能或自定义事件处理的场景。开发者可通过它快速构建响应式模块来增强OpenCode AI助手的能力。
SGLang是一个专为LLM设计的高性能推理框架,特别适用于需要结构化输出的场景。它通过RadixAttention前缀缓存技术,在处理JSON、正则表达式、工具调用等具有重复前缀的复杂工作流时,能实现极速生成。如果你正在构建智能体或多轮对话系统,并追求远超vLLM的推理性能,SGLang是理想选择。
