Skill UI

This guide implements comprehensive guardrails for Perplexity Sonar API. It covers crucial aspects like query content moderation, PII sanitization, enforcing user usage quotas, selecting appropriate models based on user tiers, and scoring citation reliability to ensure safe, ethical, and cost-effective AI usage.

Process videos, audio, images, and documents on Transloadit’s cloud using 86+ robots to encode formats, generate thumbnails, resize/watermark, run OCR, speech-to-text, moderation, and chain multi-step pipelines for scalable media automation.

Execute comprehensive, asynchronous transcription workflows using AssemblyAI. This tool handles file upload, queues jobs, and provides advanced audio intelligence features. Capabilities include speaker diarization, sentiment analysis, named entity recognition (NER), topic categorization (IAB), content safety moderation, and sensitive PII redaction. Ideal for processing meeting recordings, interviews, and large volumes of spoken content.

This skill converts a single still image (PNG/JPG) into a short, animated MP4 video using a slow Ken-Burns zoom effect and a silent audio track. It is designed specifically as an 'on_failure' fallback mechanism for AI video generation steps that might fail due to content moderation or other upstream issues, ensuring a complete deliverable can still be produced for downstream merging.

This skill generates a comprehensive community management playbook for any brand's social media channels. It provides structured guidelines covering response frameworks, moderation policies, SLAs, and ready-to-use response templates for handling comments, DMs, complaints, and positive interactions consistently and professionally. Ideal for social media teams aiming for brand consistency and reputation management.

A comprehensive framework designed to rigorously test the stability of key macroeconomic findings. This program addresses potential biases arising from specification choices, sample periods (e.g., Great Moderation, ZLB, COVID breaks), and methodological variations (SVAR vs. LP). It ensures that the reported headline quantity remains robust even when challenged by a skeptical academic referee, providing a targeted defense rather than simply listing extra tables. Ideal for high-stakes empirical macro papers.

This guide provides a comprehensive framework for conducting rigorous statistical analysis and ensuring methodological validity for empirical manuscripts. It covers establishing measurement validity (CFA, reliability), selecting appropriate estimators (SEM, HLM, IV), addressing biases (CMB, endogeneity), and robust reporting of complex effects (mediation, moderation) required for top-tier academic journals.

A comprehensive guide for academic researchers on how to systematically develop robust theoretical frameworks and derive testable hypotheses for scholarly manuscripts. It emphasizes constructing explicit theoretical mechanisms (antecedent -> mechanism -> outcome) and correctly modeling mediation and moderation, ensuring that hypotheses are derived a priori, thereby avoiding common research pitfalls like HARKing.

This guide provides rigorous methodological standards for conducting mechanism analysis (mediation and moderation) in academic economics research. It strongly cautions against the traditional three-step mediation approach due to identification issues, recommending preferred alternatives like split-channel regression and causal moderation analysis to enhance the robustness of causal claims.

A comprehensive methodological guide for structuring and writing robust mechanism analyses in empirical manuscripts, especially for rural economics. It stresses that mechanisms must be grounded in observable micro-level household or village behaviors (e.g., labor allocation, credit access), moving beyond macro-level narratives. The guide covers recommended paths (mediation, moderation, sub-sample comparison) and ethical writing practices.

This guide provides rigorous methodologies for conducting mechanism analysis in empirical economics, particularly for submissions to finance and trade journals. It teaches how to open the 'policy black box' by identifying measurable, causal channels (e.g., changes in firm investment, credit flow, or government expenditure) that explain the relationship between a policy shock and an outcome. It covers mediation/moderation techniques and sub-sample comparisons.

A comprehensive guide for advanced statistical analysis in consumer psychology, moving beyond simple p-values. It details how to rigorously test complex processes like mediation and moderation (measured and experimental). This resource emphasizes reporting standards for high-impact journals, covering effect sizes, confidence intervals, pre-registration, and establishing causal evidence.