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Found 203 Skills
MetricKit API reference for field diagnostics - MXMetricPayload, MXDiagnosticPayload, MXCallStackTree parsing, crash and hang collection
Guide developers through capturing diagnostic artifacts to diagnose production .NET performance issues. Use when the user needs help choosing diagnostic tools, collecting performance data, or understanding tool trade-offs across different environments (Windows/Linux, .NET Framework/modern .NET, container/non-container).
Analyze ad campaign performance data (Google, Meta, LinkedIn) to identify what's working, what's wasting budget, and specific cut/scale/test recommendations. Takes CSV or pasted data, runs statistical analysis, and produces a diagnostic report with action items.
Pipeline analysis composite. Pulls deal/meeting data from any CRM or tracking system, analyzes the pipeline over a user-defined period (weekly, fortnightly, monthly, quarterly), and produces both an executive summary and a detailed diagnostic report. Covers volume, qualification rates, source effectiveness, stage velocity, stuck deals, and actionable recommendations. Tool-agnostic — works with any CRM (Salesforce, HubSpot, Pipedrive, Close, Supabase, CSV).
Alibaba Cloud RAM permission diagnosis and repair assistant. When an agent encounters any permission-related error while operating Alibaba Cloud resources (403, NoPermission, Forbidden, AccessDenied, InvalidSecurityToken, etc.), or when the user describes an Alibaba Cloud RAM permission issue, use this skill immediately. Do not wait for the user to explicitly request it — proactively start the diagnostic process whenever a permission error appears. Also applies when: a developer encounters permission issues while writing Alibaba Cloud SDK code, the user asks how to configure minimum permissions for an operation, or the user wants to know which permissions the current identity is missing.
Main entry point for Langgeladi ASOP. It automatically routes to the most appropriate diagnostic tool based on your question. Trigger methods: /lang, /langgeladi, "help me diagnose", "I want to AI-ify", "take a look for me" Main entry point for langgeladi ASOP. Auto-routes to the best diagnostic tool. Trigger: /lang, /langgeladi, "help me diagnose", "I want to AI-ify my business"
codeck entry point. Scans local files for materials, shows pipeline dashboard with diagnostic intelligence, guides user to the next step. Use when the user says "codeck", "new deck", "make a presentation", "make a deck", "new slides", "build a presentation", or wants to start a new presentation project from scratch. Do NOT trigger for specific sub-tasks like designing, reviewing, exporting, or writing speeches — those have dedicated skills.
Use when monitoring or troubleshooting Cisco UCCE 12.6 — agent states, queue stats, PG diagnostics, CVP config, VVB calls, system health checks, and infrastructure inventory. Covers all cisco-ucce CLI operations across AW, Finesse, CVP, Diagnostic Portal, and VVB APIs.
Alibaba Cloud PolarDB Database AI Assistant. For PolarDB MySQL/PostgreSQL cluster management, performance diagnostics, parameter tuning, slow SQL analysis, backup recovery, connection session analysis, primary-standby switchover diagnostics, security configuration audit, and other O&M operations. Use when user questions involve PolarDB, cluster IDs starting with pc-, kernel parameters, primary-standby switchover, IMCI columnar storage, etc.
Quick pragmatic review of .NET test code for anti-patterns that undermine reliability and diagnostic value. Use when asked to review tests, find test problems, check test quality, or audit tests for common mistakes. Catches assertion gaps, flakiness indicators, over-mocking, naming issues, and structural problems with actionable fixes. Use for periodic test code reviews and PR feedback. For a deep formal audit based on academic test smell taxonomy, use exp-test-smell-detection instead. Works with MSTest, xUnit, NUnit, and TUnit.
Frontend full-chain performance optimization guide based on Web Vitals metrics. Provides metric thresholds, diagnostic methods, and optimization strategies for LCP, FCP, INP, CLS, TTFB, TBT. Use when optimizing frontend performance, analyzing Web Vitals, reducing page load time, fixing layout shifts, improving interaction responsiveness, or reviewing frontend code for performance issues.
Bayesian statistical modeling with PyMC v5+. Use when building probabilistic models, specifying priors, running MCMC inference, diagnosing convergence, or comparing models. Covers PyMC, ArviZ, pymc-bart, pymc-extras, nutpie, and JAX/NumPyro backends. Triggers on tasks involving: Bayesian inference, posterior sampling, hierarchical/multilevel models, GLMs, time series, Gaussian processes, BART, mixture models, prior/posterior predictive checks, MCMC diagnostics, LOO-CV, WAIC, model comparison, or causal inference with do/observe.