claude-api
Official sourceAuthoritative reference for the Claude API and Anthropic SDKs: model IDs, pricing, thinking/effort params, streaming, tool use, caching, managed agents, and model migration.
Published by a verified Agent platform or tool vendor. Official identifies the source; it is not a quality ranking.
Authoritative reference for the Claude API and Anthropic SDKs: model IDs, pricing, thinking/effort params, streaming, tool use, caching, managed agents, and model migration.
Read, edit, create, and fix Excel/CSV files — formulas, formatting, charts, and clean financial models with zero formula errors.
Generate distinctive, production-grade frontend UI that avoids generic AI aesthetics — pages, components, dashboards, and landing pages.
Creates, reads, and edits Word .docx files via docx-js for new docs and unpack/edit-XML/repack for existing ones, covering tables, TOCs, tracked changes, comments, and images.
Creates and edits PowerPoint .pptx decks from scratch or templates, with curated color/font guidance and a mandatory visual QA loop using rendered slide images and subagents.
Toolkit for PDF work: extract text and tables, merge/split, rotate, watermark, encrypt, OCR scanned pages, create PDFs, and fill forms using pypdf, pdfplumber, and reportlab.
Build high-quality MCP (Model Context Protocol) servers in Python (FastMCP) or Node/TypeScript that let LLMs use external services through well-designed tools.
End-to-end workflow for authoring, testing, benchmarking, and optimizing agent skills, including eval runs, a review viewer, and a description-triggering optimizer.
Review UI code against Vercel's Web Interface Guidelines — accessibility, UX, and design best practices — with terse file:line findings.
Vercel Engineering's 70 React/Next.js performance rules across 8 priority categories—waterfalls, bundle size, server-side, re-renders—for writing, reviewing, and refactoring code.
Scaffolds and bundles elaborate React + TypeScript + Tailwind + shadcn/ui artifacts into one self-contained HTML file for claude.ai, with state, routing, and prebuilt components.
Deploys apps to Vercel, defaulting to preview, by detecting project/git/CLI state and choosing git-push, vercel deploy, link-first, or a no-auth sandbox fallback.
Domain knowledge for building videos in React with Remotion—frame-based animation via useCurrentFrame/interpolate, sequencing, assets, audio, captions, and rendering.
Produces a production-ready AKS cluster configuration, separating hard-to-change Day-0 choices (networking, API server) from Day-1 features across security, scaling, and cost.
Systematically triages Azure production incidents across App Service, Container Apps, Functions, AKS, and messaging using resource health, logs, and AppLens.
Tests and debugs local web apps with native Python Playwright scripts and a server-lifecycle helper, using a reconnaissance-then-action pattern and headless Chromium.
Write internal communications — status reports, 3P updates, leadership notes, newsletters, FAQs, incident reports — in your company's formats.
Generates original p5.js generative art by first writing an algorithmic philosophy, then expressing it as a self-contained interactive HTML viewer with seeded randomness.
A fast Rust browser-automation CLI for AI agents using Chrome via CDP with accessibility-tree snapshots; a discovery stub that loads live workflows from the CLI itself.
Prepares apps for Azure deployment by writing a mandatory deployment plan, then generating Bicep/Terraform, azure.yaml, and Dockerfiles before handing off to validate and deploy.
Assesses existing AKS clusters or local manifests against AKS Automatic safeguards, classifying incompatibilities and generating fix diffs without ever mutating the cluster.
Guides a structured three-stage workflow (context gathering, section-by-section refinement, reader testing) for co-authoring proposals, specs, and decision docs.
React Native and Expo best practices across list performance, Reanimated animations, navigation, UI patterns, and monorepo config, organized by priority and impact.
Runs an observability-first Vercel cost and performance audit, collecting production metrics before investigating metric-backed candidates and producing ranked, file-grounded recommendations.