Skill UI

A comprehensive runbook for rapid incident response to Figma REST API failures. It guides users through quick triage (checking status, authentication, rate limits), decision-making based on error codes (403, 429, 500), applying immediate mitigation strategies (token rotation, fallback modes), and completing thorough postmortem documentation.

This guide establishes a comprehensive local development workflow for building Hootsuite API integrations. It features a robust API client with automatic OAuth 2.0 token refresh, a standardized project structure, and a complete mocked test suite using Vitest. Ideal for developers needing to build reliable, automated social media publishing tools or complex platform connectors.

A comprehensive, step-by-step checklist for safely deploying Adobe API integrations (including Firefly, PDF Services, and I/O Events) to a production environment. It covers prerequisite checks, credential security, health monitoring, gradual canary rollouts, error handling, and immediate rollback procedures to ensure maximum system stability and reliability.

A comprehensive guide for rapid incident response when Algolia search functionality fails. This runbook provides structured procedures for triage, differentiating between infrastructure outages and internal configuration errors (e.g., API keys, indexing failures). It includes severity classification, diagnosis steps, and code examples for immediate remediation, such as key rotation or implementing circuit breakers.

This advanced workflow allows developers to clone live websites directly into structured React or HTML code using the Anima platform. It goes beyond simple cloning by featuring post-generation customization rules (e.g., updating utility classes or imports) and a dedicated design token mapper. This ensures the generated code is immediately usable and adheres strictly to the project's existing design system tokens, while also organizing the final component structure.

This internal agent skill processes raw X/Twitter posts into structured bug candidates. It systematically performs parsing, content deduplication, PII redaction, reliability scoring, and classification. Finally, it clusters related reports using deterministic signatures, providing a highly organized output for efficient bug triage and analysis from large-scale social media streams.

A comprehensive runbook providing structured guidance for rapid incident response when encountering failures with the Canva Connect API integration. It guides users through initial triage (checking status, error rates), outlines immediate mitigation strategies for common API errors (401, 429, 5xx), and covers standardized communication templates and detailed post-incident procedures, including log collection and root cause analysis.

Utilize Anthropic Message Batches API for high-volume, asynchronous bulk processing of AI tasks. This method allows processing up to 10,000 requests per batch, ideal for summarizing large document sets or running repetitive tasks where immediate, synchronous results are not required. The process involves creating the batch, polling for status completion (within 24 hours SLA), and then retrieving detailed results, including success and error statuses for each item.

This comprehensive guide details the process of installing and configuring the Cohere SDK (v2) in both Node.js and Python environments. It covers initial setup, setting API keys via environment variables, and provides full code examples for verifying connectivity across various Cohere endpoints, including Chat, Embed, and Rerank, enabling immediate integration into your AI projects.

This skill performs comprehensive regulatory gap analysis across major compliance frameworks, including GDPR, CCPA, ADA, PCI-DSS, and CAN-SPAM. It analyzes live websites and codebases to produce a detailed compliance scorecard, identifies specific non-compliant gaps, and generates a prioritized remediation roadmap with effort estimates. Essential for businesses ensuring legal adherence across multiple global jurisdictions.

A multi-phase workflow designed to guide users through complex problem analysis and solution design. Instead of providing immediate answers, it systematically enforces deep thinking by reviewing the problem's validity, assessing information gaps, performing root cause analysis, and iterating through solution vetting (self-check and final review). Ideal for complex technical troubleshooting, decision-making, or theoretical discussions requiring rigorous methodology.

This comprehensive skill is designed to retrieve content from various Feishu cloud documents, returning the raw Markdown format. It provides advanced logic for handling Wiki URLs by first determining the actual document type (Docx, Sheet, Bitable) before calling the appropriate specialized tool. Furthermore, it guides the user on how to separately download and process embedded media like images, files, and whiteboards using dedicated media tools.