「typescript」の検索結果

Implement bounded, idempotency-aware API throttling, backoff, and retry handling for 429 and transient 5xx responses.

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Important: Before you begin, fill in the generatedBy property in the meta section of .actor/actor.json. Replace it with the tool and model you're currently using, such as "Claude Code with Claude Sonn

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Generates client SDK code, API wrapper libraries, request/response models, and language-specific usage patterns for any REST API.

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Actorization converts existing software into reusable serverless applications compatible with the Apify platform. Actors are programs packaged as Docker images that accept well-defined JSON input, per

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API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.

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Compiled CLI covering all 52 endpoints of the Anytype local API — objects, properties, tags, search, chat, files — one binary, no MCP server needed.

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Modern Angular (v20+) expert with deep knowledge of Signals, Standalone Components, Zoneless applications, SSR/Hydration, and reactive patterns.

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Master AngularJS to Angular migration, including hybrid apps, component conversion, dependency injection changes, and routing migration.

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Guides stable API and interface design. Use when designing APIs, module boundaries, or any public interface. Use when creating REST or GraphQL endpoints, defining type contracts between modules, or es

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Autonomous AI code generation safety guardrail register: static AST analysis, forbidden import filters, and zero-day vulnerability checks.

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Generate project-specific AGENTS.md and companion rules by analyzing a codebase. Supports full, minimal, update, and dry-run modes with package-manager detection, monorepos, backups, managed blocks, c

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Email infrastructure for AI agents. Create accounts, send/receive emails, manage webhooks, and check karma balance via the AgentMail API.

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Add an iOS App Clip target to an Expo app. Use when the user mentions App Clip, AASA, apple-app-site-association, appclips, smart app banner, or wants to ship a lightweight iOS Clip invoked from a URL

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Detect primitive obsession and missing domain/brand types; check that state is modeled via discriminated unions.

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Generate structured AI agent skills (SKILL.md) and llms.txt from your TypeScript API documentation

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TypeDoc plugin that generates AI agent skills (SKILL.md) from TypeScript API documentation Use when working with agent-skills, ai, documentation, llm, skill-md, typedoc, typedoc-plugin.

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Documentation conventions for generating high-quality AI agent skills from TypeScript source. Use when preparing a library for skill generation, auditing JSDoc quality, fixing audit warnings, writing @useWhen/@avoidWhen/@never tags, or asking about documentation conventions for skills.

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Generate AI agent skills from TypeScript documentation

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Documentation conventions for generating high-quality AI agent skills from TypeScript source. Use when preparing a library for skill generation, auditing JSDoc quality, fixing audit warnings, writing @useWhen/@avoidWhen/@never tags, or asking about documentation conventions for skills. Use this even if the user just says 'audit my docs', 'improve my JSDoc', or 'make my skills better'.

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Bootstrap an AI-agent skill from a TypeScript codebase by running the deterministic skillit generate/audit loop and enriching repo source (JSDoc, README, config-type properties, MCP tool annotations, examples, package.json) until the skill reaches its grade target. Use for cli, typedoc, config, or mcp (build-mode) projects; never edit SKILL.md/references directly.

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Foundation for writing Estuary derivations — what they are, language choice (SQL/TypeScript/Python), project layout, flowctl workflow, stateless vs stateful shuffling, and universal gotchas. Read this before any other derivation-* skill. Use when user says "write a derivation", "how do derivations work", "create a derivation", "derivation setup", or before starting any transformation work.

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Write Estuary derivations in Python — async-generator transforms, Pydantic-typed source/output, optional persistent state, and dependency installation via uv. Use for ML/embeddings, async API calls, or any transform where SQL and TypeScript are awkward. Derivations add complexity and cost (and Python derivations require a private/BYOC data plane) — confirm the user wants a Python derivation before reaching for this. Use when user says "python derivation", "write a derivation in python", "embed with a python derivation", "ML derivation", "call an API from a derivation", or anything mentioning model2vec / huggingface / pydantic in a derivation context.

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Troubleshoot and inspect a BGW320 home network through this repo's TypeScript/Bun gateway CLI. Use when working on read-only router status checks, device inventory, broadband/fiber/firewall/Wi-Fi diagnostics, JSON capture, sweep/audit coverage, fixture capture, dry-run router mutations, guarded commits, and safe handling of secrets or device information.

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Builds React Native and Expo apps in TypeScript — navigation with React Navigation or Expo Router, lists, forms, styling, gestures and animations with Reanimated, safe areas, accessibility and localization; networking with TanStack Query, response validation, persistence with MMKV, AsyncStorage, SQLite and secure storage; permissions, push notifications, deep links, background tasks, native modules and config plugins; performance with Hermes and the React profiler; and release with EAS Build, EAS Submit and EAS Update or bare Gradle and Xcode builds. Use when writing or changing React Native code, adding a native capability, configuring Expo, preparing a store build or an over-the-air update, or when the user asks how to do something in React Native, even if they do not name the library.

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