Production reference architecture for Kling AI video generation platforms. Use when designing scalable systems. Trigger with phrases like 'klingai architecture', 'kling ai system design', 'video platform architecture', 'klingai production setup'.

Build and launch an Instantly.ai cold email campaign end-to-end. Use when creating campaigns, adding leads, configuring sequences, and launching outreach via the Instantly API v2. Trigger with phrases like "instantly campaign", "launch instantly campaign", "create instantly outreach", "instantly cold email", "instantly send campaign".

Execute Ideogram primary workflow: text-to-image generation with text rendering. Use when generating images from text prompts, creating designs with embedded text, or building the main image generation pipeline. Trigger with phrases like "ideogram generate image", "ideogram text to image", "create image with ideogram", "ideogram primary workflow".

Execute Groq primary workflow: chat completions with tool use and JSON mode. Use when implementing chat interfaces, function calling, structured output, or building AI features with Groq's fast inference. Trigger with phrases like "groq chat completion", "groq tool use", "groq function calling", "groq JSON mode".

Retrieve and process Fireflies.ai meeting transcripts with speaker diarization and summaries. Use when fetching transcripts, extracting action items, or building meeting intelligence pipelines. Trigger with phrases like "fireflies transcript", "get meeting notes", "fireflies meeting data", "fetch fireflies recording".

Execute Firecrawl secondary workflow: LLM extraction, batch scraping, and site mapping. Use when extracting structured data from pages, batch scraping known URLs, or discovering site structure with the map endpoint. Trigger with phrases like "firecrawl extract", "firecrawl batch scrape", "firecrawl map site", "firecrawl structured data", "firecrawl JSON extract".

Execute Exa findSimilar, getContents, answer, and streaming answer workflows. Use when finding pages similar to a URL, retrieving content for known URLs, or getting AI-generated answers with citations. Trigger with phrases like "exa find similar", "exa get contents", "exa answer", "exa similarity search", "findSimilarAndContents".

Execute Exa neural search with contents, date filters, and domain scoping. Use when building search features, implementing RAG context retrieval, or querying the web with semantic understanding. Trigger with phrases like "exa search", "exa neural search", "search with exa", "exa searchAndContents", "exa query".

Deep dive into Evernote data migration strategies. Use when migrating to/from Evernote, bulk data transfers, or complex migration scenarios. Trigger with phrases like "migrate to evernote", "migrate from evernote", "evernote data transfer", "bulk evernote migration".

Implement Customer.io enterprise reference architecture. Use when designing integration layers, event-driven architectures, or enterprise-grade Customer.io setups. Trigger: "customer.io architecture", "customer.io design", "customer.io enterprise", "customer.io integration pattern".

Tune CodeRabbit review configuration: learnings, code guidelines, and noise reduction. Use when fine-tuning review quality, training CodeRabbit with team preferences, adding code guidelines, or reducing false positives. Trigger with phrases like "coderabbit tune reviews", "coderabbit learnings", "coderabbit guidelines", "reduce coderabbit noise", "coderabbit false positives".

Execute this skill should be used when the user asks about "how sprints work", "sprint phases", "iteration workflow", "convergent development", "sprint lifecycle", "when to use sprints", or wants to understand the sprint execution model and its convergent diffusion approach. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.

End-to-end test-fix workflow generate test sessions with progressive layers (L0-L3), then execute iterative fix cycles until pass rate >= 95%. Combines test-fix-gen and test-cycle-execute into a unified pipeline. Triggers on "workflow:test-fix-cycle".

Specification generator - 7 phase document chain producing product brief, PRD, architecture, epics, and issues with Codex review gates. Triggers on generate spec, create specification, spec generator, workflow:spec.

Use when the user asks to "set up authentication", "add login", "add logout", "add sign in", "enable auth", "add role-based access", "add authorization", "protect routes", "configure identity provider", "configure Entra ID", "configure Entra External ID", "configure OpenID Connect", "add OIDC", "set up SAML", "set up WS-Federation", "set up local login", "add username password", "add Facebook login", "add Google sign in", "add Microsoft Account", "set up invitation login", or otherwise wants to set up authentication (login/logout) and role-based authorization for their Power Pages code site using any supported identity provider (Microsoft Entra ID, Entra External ID, OpenID Connect, SAML2, WS-Federation, local authentication, Microsoft Account, Facebook, or Google).

Deploy applications to Render by analyzing codebases, generating render.yaml Blueprints, and providing Dashboard deeplinks. Use when the user wants to deploy, host, publish, or set up their application on Render's cloud platform. Do NOT use for deploying to Vercel, Netlify, or Cloudflare (use their respective skills).

Z.AI CLI providing: - Vision: image/video analysis, OCR, UI-to-code, error diagnosis (GLM-4.6V) - Search: real-time web search with domain/recency filtering - Reader: web page to markdown extraction - Repo: GitHub code search and reading via ZRead - Tools: MCP tool discovery and raw calls - Code: TypeScript tool chaining Use for visual content analysis, web search, page reading, or GitHub exploration. Requires Z_AI_API_KEY.

This skill should be used when the user asks to "understand context", "explain context windows", "design agent architecture", "debug context issues", "optimize context usage", or discusses context components, attention mechanics, progressive disclosure, or context budgeting. Provides foundational understanding of context engineering for AI agent systems.

Implements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task requiring >5 tool calls.