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Agent skills
openai-api

Topic: openai-api

24 skills in this topic.

using-process-tool Describes how to correctly use 'process' tool
langchain4j/langchain4j 11,558
test-skill test description
langchain4j/langchain4j 11,558
greeting-user Explains how to properly greet the user
langchain4j/langchain4j 11,558
greeting-user Explains how to properly greet the user
langchain4j/langchain4j 11,558
skill-creator Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Azure-Samples/AI-Gateway 900
mcp-builder Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Azure-Samples/AI-Gateway 900
lab-creator Guide for creating new AI Gateway labs. Use when users want to create a new lab in the labs/ folder. This skill provides the standard lab structure, templates, and patterns used across the AI Gateway repository including Jupyter notebooks, Bicep infrastructure templates, APIM policies, and README documentation.
Azure-Samples/AI-Gateway 900
apim-kql Guide for creating Kusto Query Language (KQL) queries for Azure API Management tables in Azure Monitor (Log Analytics Workspace). Use when users want to query, analyze, or monitor APIM logs including gateway logs, LLM/AI logs, MCP logs, WebSocket logs, and Application Insights data. This skill provides KQL syntax, table schemas, and query patterns for APIM monitoring scenarios.
Azure-Samples/AI-Gateway 900
apim-bicep Guide for building Bicep files for Azure API Management (APIM) and related Azure services. Use when users want to create, modify, or understand Bicep templates for APIM instances, APIs, backends, subscriptions, policies, products, loggers, diagnostics, and MCP servers. This skill provides Bicep syntax, patterns from Azure Verified Modules, and examples from this repository.
Azure-Samples/AI-Gateway 900
apim-terraform Guide for creating Terraform files for Azure API Management (APIM) and related Azure services. Use when users want to create, modify, or understand Terraform configurations for APIM instances, APIs, backends, subscriptions, policies, products, loggers, diagnostics, and supporting infrastructure using the azurerm provider. This skill provides HCL syntax, resource definitions, and patterns from the Terraform Registry and this repository.
Azure-Samples/AI-Gateway 900
apim-policies Guide for creating Azure API Management (APIM) XML policies. Use when users want to create, modify, or understand APIM policies including inbound/outbound processing, authentication, rate limiting, caching, transformations, AI gateway policies, and policy expressions. This skill provides policy syntax, examples, and C# policy expressions for request/response manipulation.
Azure-Samples/AI-Gateway 900
csv-workbench Analyze CSV files in /mnt/data and return concise numeric summaries.
openai/openai-agents-js 2,570
changeset-validation Validate changesets in openai-agents-js using LLM judgment against git diffs (including uncommitted local changes). Use when packages/ or .changeset/ are modified, or when verifying PR changeset compliance and bump level.
openai/openai-agents-js 2,570
test-coverage-improver Improve test coverage in the OpenAI Agents JS monorepo: run `pnpm test:coverage`, inspect coverage artifacts, identify low-coverage files and branches, propose high-impact tests, and confirm with the user before writing tests.
openai/openai-agents-js 2,570
runtime-behavior-probe Plan and execute runtime-behavior investigations with temporary TypeScript probe scripts, validation matrices, state controls, and findings-first reports. Use only when the user explicitly invokes this skill to verify actual runtime behavior beyond normal code-level checks, especially to uncover edge cases, undocumented behavior, or common failure modes in local or live integrations. A baseline smoke check is fine as an entry point, but do not stop at happy-path confirmation.
openai/openai-agents-js 2,570
pr-draft-summary Create the required PR-ready summary block, branch suggestion, title, and draft description for openai-agents-js. Use in the final handoff after moderate-or-larger changes to runtime code, tests, examples, build/test configuration, or docs with behavior impact; skip only for trivial or conversation-only tasks, repo-meta/doc-only tasks without behavior impact, or when the user explicitly says not to include the PR draft block.
openai/openai-agents-js 2,570
pnpm-upgrade Keep pnpm current: run pnpm self-update/corepack prepare, align packageManager in package.json, and bump pnpm/action-setup + pinned pnpm versions in .github/workflows to the latest release. Use this when refreshing the pnpm toolchain manually or in automation.
openai/openai-agents-js 2,570
openai-knowledge Use when working with the OpenAI API (Responses API) or OpenAI platform features (tools, streaming, Realtime API, auth, models, rate limits, MCP) and you need authoritative, up-to-date documentation (schemas, examples, limits, edge cases). Prefer the OpenAI Developer Documentation MCP server tools when available; otherwise guide the user to enable `openaiDeveloperDocs`.
openai/openai-agents-js 2,570
integration-tests Run the integration-tests pipeline that depends on a local npm registry (Verdaccio). Use when asked to execute integration tests or local publish workflows in this repo.
openai/openai-agents-js 2,570
implementation-strategy Decide how to implement runtime and API changes in openai-agents-js before editing code. Use when a task changes exported APIs, runtime behavior, schemas, tests, or docs and you need to choose the compatibility boundary, whether shims or migrations are warranted, and when unreleased interfaces can be rewritten directly.
openai/openai-agents-js 2,570
final-release-review Perform a release-readiness review by locating the previous release tag from remote tags and auditing the diff (e.g., v1.2.3...<commit>) for breaking changes, regressions, improvement opportunities, and risks before releasing openai-agents-js.
openai/openai-agents-js 2,570
examples-auto-run Run examples:start-all in auto mode with parallel execution, per-script logs, and start/stop helpers.
openai/openai-agents-js 2,570
docs-sync Analyze main branch implementation and configuration to find missing, incorrect, or outdated documentation in docs/. Use when asked to audit doc coverage, sync docs with code, or propose doc updates/structure changes. Only update English docs (docs/src/content/docs/**) and never touch translated docs under docs/src/content/docs/ja, ko, or zh. Provide a report and ask for approval before editing docs.
openai/openai-agents-js 2,570
code-change-verification Run the mandatory verification stack when changes affect runtime code, tests, or build/test behavior in the OpenAI Agents JS monorepo.
openai/openai-agents-js 2,570