skills/inngest/SKILL.md
Durable workflow orchestration platform for serverless and server environments. MANDATORY TRIGGERS: inngest, durable functions, durable execution, step functions, background jobs, workflow orchestration, inngest.createFunction, step.run, step.sleep, step.waitForEvent. Also trigger when user wants to build reliable background jobs, event-driven workflows, scheduled tasks with retries, or orchestrate multi-step serverless functions. When in doubt about whether to use this skill for background job or workflow tasks, use it.
npx skillsauth add abhisheksharma-17/skills-graph inngestInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Durable workflow orchestration: reliable step functions and AI workflows on serverless, servers, or the edge — without queues or infrastructure.
Source: inngest.com/docs | TS SDK: v3.x | Python SDK: v0.5.x | License: Source Available (Server), MIT (SDKs)
| Reference | File | Read When |
|-----------|------|-----------|
| Overview & Quickstart | references/00-overview.md | Getting started, installation, core concepts, project setup |
| Durable Execution Model | references/01-durable-execution.md | How functions execute, memoization, state persistence, fault tolerance |
| Functions & Triggers | references/02-functions-triggers.md | createFunction config, event triggers, cron triggers, webhooks |
| Steps & Workflows | references/03-steps-workflows.md | step.run, step.sleep, step.waitForEvent, step.invoke, step.sendEvent |
| Parallel Execution | references/04-parallel-execution.md | Promise.all patterns, parallel steps, chunked processing |
| Error Handling & Retries | references/05-error-handling.md | Retries, NonRetriableError, onFailure, step-level error handling |
| Flow Control | references/06-flow-control.md | Concurrency, throttle, rate limiting, debounce, priority |
| Event Batching | references/07-event-batching.md | Batch processing, maxSize, timeout, keyed batching |
| Cancellation | references/08-cancellation.md | cancelOn, timeout, event-based cancellation, cleanup handlers |
| Middleware | references/09-middleware.md | Lifecycle hooks, dependency injection, encryption, observability |
| Serve API & Frameworks | references/10-serve-frameworks.md | serve() config, Next.js, Express, FastAPI, Hono, deployment |
| Python SDK | references/11-python-sdk.md | Python client, FastAPI/Flask/Django integration, async functions |
| TypeScript Patterns | references/12-typescript-patterns.md | Type-safe events, Zod schemas, advanced TS patterns |
# TypeScript / JavaScript
npm install inngest
# Python
pip install inngest
# Dev Server (required for local development)
npx inngest-cli@latest dev
development
AI developer platform for experiment tracking, LLM observability, hyperparameter sweeps, artifact versioning, and model registry. MANDATORY TRIGGERS: wandb, weights and biases, weights & biases, W&B, weave, wandb.init, wandb.log. Also trigger when the user wants to track ML experiments, log training metrics, tune hyperparameters with sweeps, version datasets or models, trace LLM calls, evaluate LLM applications, or monitor AI agents. When in doubt about whether to use this skill for ML experiment tracking or LLM observability tasks, use it.
tools
Data transformation with dbt (data build tool) — SQL-based modeling, testing, documentation, incremental builds, Jinja macros, snapshots, semantic layer, and deployment. MANDATORY TRIGGERS: dbt, data build tool, dbt-core, dbt Cloud, dbt run, dbt build, dbt test. Also trigger when the user wants to build SQL transformation pipelines, define data models with refs, write data quality tests, create incremental models, use Jinja macros in SQL, manage data warehouse transformations, or set up analytics engineering workflows. When in doubt about whether to use this skill for data transformation tasks, use it.
tools
Open-source AI-native vector database for semantic search, hybrid search, RAG, and agent-driven workflows with multi-tenancy and model provider integrations. MANDATORY TRIGGERS: weaviate, Weaviate, weaviate-client, near_text, near_vector, hybrid search vector database, WeaviateClient, weaviate.connect, collections.create, query.near_text, query.hybrid, query.bm25. Also trigger when user wants to build semantic search, store vector embeddings, implement RAG pipelines, combine keyword and vector search, set up multi-tenant vector storage, use named vectors, or integrate vector DB with LLM providers. When in doubt about whether to use this skill for vector database or semantic search tasks, use it.
tools
End-to-end testing and browser automation framework by Microsoft — locators, assertions, fixtures, network mocking, visual testing, tracing, codegen, API testing, and CI/CD integration. MANDATORY TRIGGERS: playwright, Playwright, @playwright/test, page.goto, page.click, page.locator, getByRole, getByText, getByTestId, expect(page), toHaveScreenshot, playwright.config, npx playwright. Also trigger when user wants to write E2E tests, automate browser interactions, test across Chromium/Firefox/WebKit, mock network requests in tests, do visual regression testing, generate tests with codegen, or set up CI test pipelines. When in doubt about whether to use this skill for browser testing or E2E automation tasks, use it.