Skill UI

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.

This skill acts as a rigorous, Socratic interviewer designed to stress-test a proposed plan against an established domain model and existing project documentation. It forces the user to sharpen terminology, resolve cross-cutting dependencies, and identify inconsistencies between stated requirements, code implementations, and documented decisions. It ensures the resulting architecture is precise, consistent, and well-documented by automatically updating the context and generating Architecture Decision Records (ADRs).

A comprehensive diagnostic guide for common ElevenLabs API errors, organized by HTTP status code. It provides detailed causes, fixes, and troubleshooting steps for issues such as invalid API keys (401), quota exhaustion, exceeding character limits (400), and rate limiting (429). Essential for developers debugging TTS, voice cloning, or streaming requests.

This tool audits the integrity of machine learning experiments by checking for common fraud patterns such as fake ground truth, score normalization fraud, and phantom results. It utilizes an external reviewer backend (like Codex or manual review) to perform an adversarial review across all project artifacts, ensuring reported results are trustworthy and methodologically sound.

A comprehensive diagnostic bundle designed to troubleshoot Fathom API connectivity, meeting sync failures, transcript availability, and authentication issues. It collects key data points (such as API status codes, rate limit headers, and meeting metadata) into a single archive, simplifying the process of diagnosing integration failures for support teams.

A comprehensive guide to diagnosing and fixing common technical and workflow errors encountered in the Finta fundraising CRM. It covers API status codes (400-502), data validation issues (e.g., duplicate investors, missing fields), and synchronization breakdowns for investors, pipelines, and emails. Essential for maintaining data integrity during fundraising operations.

This skill provides comprehensive guidance and solutions for diagnosing and fixing common technical errors and exceptions encountered when integrating with the Grammarly API. It covers specific HTTP error codes (400, 401, 413, 429), addressing issues such as invalid tokens, payload size limits, rate limit exhaustion, and text formatting requirements. Use it when debugging failed API requests or troubleshooting complex integration workflows.

A comprehensive guide for diagnosing and fixing common HubSpot API errors (e.g., 401, 403, 429, 400). It provides real error response bodies, root cause analysis, and actionable code solutions for debugging failed API requests, improving integration reliability, and managing complex CRM interactions.

This skill orchestrates the entire development lifecycle for approved software tasks. It operates in autonomous or manual modes, rigorously applying Test-Driven Development (TDD). It automatically gathers all necessary context (specs, requirements, design, and historical learnings), validates the repository state, and dispatches specialized sub-agents to implement tasks one by one, ensuring high code quality, adherence to design, and process traceability.

This utility analyzes a codebase (product, technology, and structure) to automatically extract core architectural patterns, guiding principles, and engineering standards. It manages a persistent 'Steering' repository, performing initial bootstrapping and continuous synchronization. It detects 'code drift' when the code deviates from established patterns and suggests additive updates, ensuring project documentation remains a comprehensive source of truth.

This skill helps users create specialized 'steering documents' or project memory for highly specific domains (e.g., API standards, testing strategies, security patterns). By analyzing the existing codebase and following predefined architectural principles, it synthesizes concise, actionable guides that capture technical patterns, best practices, and domain-specific rules, ensuring project consistency and knowledge retention.