Loading...
Loading...
Found 483 Skills
Automated tech debt cleanup worker (L3). Reads codebase audit findings, applies safe auto-fixes for low-risk issues (unused imports, dead code, commented-out code, deprecated aliases). Confidence >=90% only. Creates single commit with summary.
Send transactional emails and SMS via SMTP2GO API. Covers authentication, /email/send and /email/mime endpoints, template management, attachments (base64/URL), webhooks for delivery events, statistics, and suppressions. Use when sending emails from Cloudflare Workers, building notifications, tracking delivery status, handling bounces. Prevents auth errors, attachment encoding issues.
L3 Worker. Reviews task implementation for quality, code standards, test coverage. Creates [BUG] tasks for side-effect issues found outside task scope. Sets task Done or To Rework. Usually invoked by ln-400 with isolated context, can also review a specific task on user request.
Custom Shopify app development using Shopify CLI, app architecture, OAuth authentication, app extensions, admin UI, Hydrogen/Remix frameworks, and deployment. Use when creating Shopify apps, setting up Shopify CLI, building app extensions, implementing OAuth flows, creating admin UI components, working with Hydrogen or Remix, deploying to Cloudflare Workers, or integrating third-party services with Shopify stores.
Security audit worker (L3). Scans codebase for hardcoded secrets, SQL injection, XSS, insecure dependencies, missing input validation. Returns findings with severity (Critical/High/Medium/Low), location, effort, and recommendations.
Semantic content auditor (L3 Worker). Verifies document content matches stated SCOPE, aligns with project goals, and reflects actual codebase state. Called by ln-600 for each project document. Returns scope_alignment and fact_accuracy scores with findings.
Guide for implementing Cloudflare Browser Rendering - a headless browser automation API for screenshots, PDFs, web scraping, and testing. Use when automating browsers, taking screenshots, generating PDFs, scraping dynamic content, extracting structured data, or testing web applications. Supports REST API, Workers Bindings (Puppeteer/Playwright), MCP servers, and AI-powered automation. (project)
Worker that runs existing tests to catch regressions. Auto-detects framework, reports pass/fail. No status changes or task creation.
This skill should be used when the user asks to "share memory between agents", "KV cache compaction for multi-agent", "orchestrator worker context", "latent briefing", "reduce worker tokens", "cross-agent memory without summarization", or discusses Attention Matching compaction, recursive language models with workers, or token explosion in hierarchical agents.
Initialize a new Adobe App Builder project end-to-end without manual template selection. Maps user intent to the correct template, runs non-interactive initialization, and guides post-init customization. Use this skill whenever the user mentions creating an App Builder app, scaffolding a project, initializing with aio, setting up an Experience Cloud extension, adding actions or web assets to an existing project, or anything related to 'aio app init', even if they don't explicitly say 'App Builder'. Also use when users mention SPA templates, AEM extensions, API Mesh setup, Asset Compute workers, or MCP server projects. Also handles debugging and troubleshooting init failures — use when users report template not found errors, aio app init hanging or timing out, Node version mismatches, npm install failures after init, build errors right after project setup, wrong directory structure from extension templates, aio login or token issues, or aio app run showing nothing.
AI demos and GPU compute with Gradio Spaces and Hugging Face Spaces ZeroGPU. Use when writing or reviewing code that uses `@spaces.GPU`, configuring `python_version` or `requirements.txt` for a ZeroGPU Space, or handling ZeroGPU-specific code constraints — pickle-based process isolation, `gr.State` semantics across the worker boundary, no `torch.compile` (use AoTI instead), CUDA wheel-only builds (no `nvcc` at build or runtime), large vs xlarge sizing, and dynamic duration callables. Make sure to use this skill whenever the user mentions ZeroGPU, `@spaces.GPU`, or the `spaces` Python package, or hits ZeroGPU-specific code errors like `PicklingError` across the worker boundary, `illegal duration`, or `flash-attn` wheel-build failures — even when the user does not explicitly ask for ZeroGPU coding guidance. Trigger on `import spaces` or `@spaces.GPU` in code.
AI agent patterns with Trigger.dev - orchestration, parallelization, routing, evaluator-optimizer, and human-in-the-loop. Use when building LLM-powered tasks that need parallel workers, approval gates, tool calling, or multi-step agent workflows.