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Found 138 Skills
Create diagnostic bundles for Granola troubleshooting. Use when preparing support requests, collecting system information, or diagnosing complex issues with Granola. Trigger with phrases like "granola debug", "granola diagnostics", "granola support bundle", "granola logs", "granola system info".
Run forensic ratio and trend checks from SEC filing data to validate or challenge Shenanigans hypotheses. Use when users ask for quantitative red-flag checks, earnings quality diagnostics, or quarter-over-quarter anomaly detection.
Helps debug test failures and view logs in the SnapLogic Robot Framework project. Use when the user wants to view test results, check container logs, debug specific test failures, or run environment diagnostics.
Health check for TTS and Telegram bot subsystems. TRIGGERS - tts health, kokoro status, telegram bot check, tts diagnostics.
Performs requirement checks and compliance diagnostics for excellent electronic books. Activate with keywords such as "Excellent Electronic Books", "Compliance with Electronic Bookkeeping Law", "Requirement Confirmation for Electronic Books", "Preparation for Tax Audits", "Conditions for the 750,000 Yen Deduction", "Do the Books Meet Requirements?", or "e-bookkeeping compliance".
Manage host-mode duoduo runtime settings and diagnostics. Use when the user asks to inspect or change daemon status, daemon config, daemon logs, Codex runtime enablement, debug log level, telemetry persistence, cadence frequency, or other persistent host-mode settings stored in ~/.config/duoduo/.env. Also trigger for Chinese requests such as 帮我启用 codex runtime, 打开 debug log, 关闭 telemetry, 调 cadence 频率, or 看看 duoduo daemon 配置.
Run end-user cmux diagnostics. Use when cmux hooks, notifications, session restore, settings, browser automation, socket access, CLI control, or agent resume behavior is not working, or when the user asks for a cmux health check, doctor report, or support-safe debug summary.
Run a Bayesian A/B test on conversion data using PyMC. Use when the user wants to compare two variants (landing pages, emails, pricing, UI changes) and decide which to ship using posterior probabilities and expected loss instead of p-values. Covers Beta-Binomial model, ROPE, expected loss, sample-size guidance, and ArviZ diagnostics.
Fit Bayesian regression models with PyMC using the Hogg approach — start simple, diagnose problems, upgrade the likelihood. Use when the user needs regression with proper uncertainty quantification, heteroscedastic errors, outlier robustness, or model comparison. Covers Normal, Student-t, and GLM likelihoods with ArviZ diagnostics and LOO-CV.
Analyze audio recording quality - echo detection, loudness, speech intelligibility, SNR, spectral analysis. Use when the user wants to check a recording's quality, detect echo or duplication in audio files, measure speech clarity, compare original vs processed audio, diagnose why a recording sounds bad, or analyze audio tracks from Blackbox or any call recording app. Triggers on audio quality, recording analysis, echo detection, check recording, sound quality, analyze audio, speech quality, PESQ, STOI, loudness, SNR, audio diagnostics, recording sounds bad, echo in recording, audio duplication.
Statistical modeling toolkit. OLS, GLM, logistic, ARIMA, time series, hypothesis tests, diagnostics, AIC/BIC, for rigorous statistical inference and econometric analysis.
Standard method for slicing bookings, pipeline, and retention cohorts for diagnostics.