Coding & Development

Deprecated. Output schema generation moved to the apify-actor-development skill; prefer that skill whenever it is available.

Convert existing projects into Apify Actors - serverless cloud programs. Actorize JavaScript/TypeScript (SDK with Actor.init/exit), Python (async context manager), or any language (CLI wrapper). Use when migrating code to Apify, wrapping CLI tools as Actors, or adding Actor SDK to existing projects.

Scrape web pages using Scrapling with anti-bot bypass (like Cloudflare Turnstile), stealth headless browsing, spiders framework, adaptive scraping, and JavaScript rendering. Use when asked to scrape, crawl, or extract data from websites; web_fetch fails; the site has anti-bot protections; write Python code to scrape/crawl; or write spiders.

Design and build an official Apify integration for a company's product - workflow-automation apps (Zapier/n8n-style), AI agent plugins (coding-agent skills+MCP bundles or OpenClaw/Hermes-style harnesses), AI framework packages (LangChain/LlamaIndex-style), or direct application clients via apify-client. Use when planning, creating, or reviewing an integration that exposes Apify Actors, runs, datasets, or key-value stores inside another product.

Multi-model orchestration skill with probed Claude Sonnet 5.5 (claude-sonnet-5-5) routing notes from 2026-09-28 evals.

Prompt/instruction guide for Claude Fable 5/5.1 (and Mythos) — companion to opus5-prompting-guide for Claude 5.x model-generation prompting stacks.

Frevana OpenRouter skill targeting Anthropic Claude Sonnet 5.5 (anthropic/claude-sonnet-5.5) for feature work, bug fixes, polished docs, and everyday agentic coding.

Orchestrate non-trivial Claude Code work; pins/routes Opus 5.5 and Sonnet 5.5 by ID for planning vs implementation seats.

Frevana OpenRouter skill for Anthropic Claude Opus 5 (anthropic/claude-opus-5) — soft-tagged sibling in the Claude 5 line alongside Opus/Sonnet 5.5 skills.

Frevana OpenRouter skill targeting Anthropic Claude Opus 5.5 (anthropic/claude-opus-5.5) for demanding reasoning, large codebases, review, and long-horizon agents.

Frevana OpenRouter skill for Anthropic Claude Sonnet 5 (anthropic/claude-sonnet-5) — balanced production coding companion to the Sonnet 5.5 skill.

Adversarial review posture skill with Claude Opus 5.5 reference notes — disprove-before-approve for architecture and risky UI/site changes.

Single-pass whole-project audit leveraging Opus 5.5 1M context for security, architecture, and dependency review.

Capability-aware model routing including Claude Opus 5.5 effort ladder (low–max) across Codex/Copilot/Claude provider APIs.

Fable 5.1 orchestrator skill that delegates implementation to Claude Sonnet 5.5 workers — decompose, dispatch, review, merge, PR.

Write/audit prompts another Claude will run — tuned for Claude Opus 5.5 (CC 2.1.280) with Sonnet 5.5 and Fable reference deltas.

Autonomous /orc orchestrator for Claude Code with Sonnet 5.5 efficiency mode and reviewer/verifier subagents — ship units unsupervised.

Route Claude 5 tiers (Haiku/Sonnet/Opus/Fable), effort, and subagents for cost-effective results; Claude 5 prompting, long-running execution, refusals, fallback.

Write/review/migrate prompts, CLAUDE.md, skills and subagents for Claude Opus 5.5 (and Opus 5→5.5). Applies Anthropic Prompting Claude Opus 5.5 guidance.

适用于 ROS 1 / ROS 2 机器人开发、迁移与联调的 skill。覆盖 catkin/catkin_tools、colcon/ament、package.xml、CMakeLists.txt、launch、URDF/Xacro、RViz、TF、Navigation2、ros2_control、串口/CAN、MCU 与 micro-ROS 等常见工程场景。

Reduce decision-relevant uncertainty before execution. Use at the start of tasks where missing goals, constraints, context, or preferences could materially change the plan; ask at most one high-information question at a time and otherwise proceed with reasonable assumptions.

Traktor Pro QML modding handbook

Automatically optimize AI agent credit usage by routing tasks to the most cost-efficient execution path. Use when you want to reduce AI API costs by 30-75% without quality loss, classify task complexity before execution, route simple tasks to free or low-cost models, split complex tasks into optimized sub-tasks, or detect vague prompts before wasting credits.

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