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Prepare for the MCPA certification through interactive lessons, local Python labs, diagnostic assessments, and mock exams. Track progress, revisit weak domains, and resume learning, with guided support for learners who do not write code.

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• Starting an MCPA study plan
• Resuming the next unfinished lesson
• Learning through guided no-code labs

Prepare for four Claude certification tracks through guided lessons, practical exercises, quizzes, and mock exams. The tutor checks understanding and learner-created work, records progress, and uses assessment results to guide review.

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• Choosing a certification track for a learning goal
• Resuming lessons from saved progress
• Completing guided exercises without writing code

Build editable Three.js worlds from text or structured briefs, with terrain, distinct regions, landmarks, vegetation, and camera paths. Review the environment from multiple viewpoints and refine selected areas while preserving the overall layout and reproducible settings.

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• Build a continuous 3D landscape from a written brief
• Plan a camera fly-through across distinct regions
• Refine one area's terrain or vegetation placement

Use language servers, tools that understand code structure, to check errors, locate definitions, and find references in Codex. Check whether a symbol can be renamed and apply the rename across the workspace.

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• Checking code errors after edits
• Locating function or variable definitions
• Finding where a symbol is used

Set up a language server, a tool that helps agents understand source code, for a project. Detect the language, install and configure the server, then verify that it responds to a diagnostic request.

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• Resolving a no LSP server configured error
• Setting up language tools for a new project
• Enabling definition lookup and reference search

Audit a Claude Code setup for installation problems, broken settings, unused extensions, and duplicated instructions. It reviews local usage evidence, recommends cleanup, and applies approved fixes, with separate confirmation for permission changes.

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• Diagnose installation and configuration problems
• Review unused skills, MCP servers, and plugins
• Trim duplicated or unnecessary CLAUDE.md guidance

Fit regression and time series models in Python, interpret coefficients, compare alternatives, and check model assumptions. Supports statistical diagnostics and forecasting, with confidence intervals and validation steps to assess uncertainty and predictive performance.

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• Fit regression models and interpret coefficients
• Compare models for binary outcomes or counts
• Forecast time series with prediction intervals

Estimate RNA velocity, the modeled direction of gene expression change, from single-cell spliced and unspliced counts. Fit models, inspect gene-level plots, visualize trajectories, and explore relative timing and associated genes while checking model limitations.

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• Explore hypotheses about directions of cell-state change
• Inspect gene-level RNA velocity model fits
• Estimate relative cell ordering with a dynamical model

Process paired-end 16S sequencing reads in QIIME 2 to produce ASVs, distinct sequence variants, and taxonomic assignments. Check input files, primer settings, and read retention while preserving artifacts that record the processing history.

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• Validate paired FASTQ files and sample metadata
• Remove primers and denoise reads with DADA2
• Assign taxonomy using a compatible classifier

Use Dask to process tables, numerical arrays, and file collections in pieces across CPU cores or machines. Helps choose data structures, size memory-friendly chunks, coordinate dependent tasks, and diagnose slow or memory-heavy workflows.

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• Aggregate CSV or Parquet files that exceed available memory
• Process large scientific arrays in chunks
• Clean JSON records and logs before analysis

Estimate intracellular reaction rates from steady-state carbon-13 tracing measurements. Validate carbon atom mappings and measurement inputs, simulate labeling, fit constrained fluxes, and diagnose which pathway rates the data can meaningfully constrain.

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• Estimate metabolic fluxes from carbon-13 labeling
• Validate atom mappings and measurement inputs
• Simulate labeling for proposed reaction rates

Plan and review fluid simulations with FluidSim, from solver selection and resource estimates to output analysis and restart checks. Examine numerical accuracy through grid and time-step comparisons, conservation checks, and explicit limits on computing resources.

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• Selecting a solver and reviewing simulation parameters
• Estimating memory, disk space, and runtime needs
• Inspecting spectra and conservation budgets

Create Android projects, deploy apps to devices, and manage SDK packages and emulators through the `android` command-line tool. It also supports screenshots, interface structure inspection, environment checks, and Android documentation searches.

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• Creating an Android project from a template
• Deploying an APK to a device
• Managing SDK packages and emulators

Analyze Antigravity coding session artifacts to explain scope changes, repeated rework, and underlying causes. Produce an evidence-based report with confidence levels, prompt assessments, recurring problem areas, and prioritized recommendations for improving future development sessions.

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• Reviewing sessions with repeated rework
• Separating scope changes from agent and codebase problems
• Finding files and subsystems associated with recurring friction

Write focused C# unit tests with XUnit, including tests that run against multiple input datasets. Apply consistent naming, setup, assertions, shared fixtures, and mock dependencies to keep tests readable, independent, and organized.

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• Set up an XUnit test project for C#
• Test multiple input cases with Theory and data attributes
• Check exceptions and isolate dependencies with mocks

Collect and review SGLang startup logs to identify unnecessary output and trace its source. Get saved logs and specific cleanup proposals while preserving useful diagnostics, with runtime changes left for user approval.

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• Investigating repeated messages in startup logs
• Checking which startup warnings need attention
• Comparing startup logs across models and GPU counts

Turn broker trade exports into a report on holding periods, trading frequency, win rate, and realized profit or loss. Diagnose patterns such as holding losers longer, overtrading, chasing rising prices, and fixation on particular price levels, with numerical evidence.

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• Reviewing win rate, profit or loss, and holding periods
• Checking trading habits with numerical evidence
• Comparing results by month, symbol, or market

Apply statistical tests to financial time series, model changing volatility, and diagnose regression problems. Estimate uncertainty in strategy metrics through bootstrap resampling, which repeatedly samples existing data, and organize findings into a statistical testing report.

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• Check whether price and return series are statistically stable
• Test long-term relationships between two assets
• Diagnose regression problems in factor research

Build pre-session diagnostic workflows with Zoom Probe SDK to check browser support, media permissions, audio, video, and network readiness. Reference patterns cover diagnostic pages, live statistics, structured reports, and readiness checks before joining.

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• Building a diagnostic page before meeting entry
• Collecting diagnostic reports for customer support
• Checking device readiness for kiosks

Audit Python SDK logs, exceptions, and telemetry for sensitive data exposure. Trace values to their sources, fix confirmed leaks, and test that redaction hides sensitive information while preserving the caller's expected behavior.

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• Audit logs and exceptions for sensitive data exposure
• Fix leaks involving model or tool data
• Test redaction and caller behavior

Create a dedicated test project linked to the current worktree and check Agent Builder through APIs and browser interactions. It covers agent and skill management, permissions, defaults, and related features, with selectable test sections.

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• Validate an Agent Builder feature branch before review
• Check role-based permissions and authentication
• Test agent and skill management through APIs and the UI

Get help setting up, configuring, and troubleshooting Paseo using current public documentation. Identify the affected host and connection method, then use relevant diagnostics to investigate provider, version, workspace, or connectivity problems.

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• Get guidance on Paseo setup and configuration
• Investigate local or remote connection problems
• Diagnose missing providers or command errors

Create and work with Google Bigtable instances and tables, design row keys and column groups, and query data with SQL or client libraries. Investigate slow queries and concentrated access patterns using Key Visualizer and command-line diagnostics.

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• Designing row keys and column families
• Creating Bigtable instances and tables
• Writing SQL queries or data access code

Diagnose declines in Google Ads conversions, conversion value, and leads by comparing periods, traffic, device breakdowns, impression share, and account changes. Use live account data through the Google Ads MCP Server or receive queries and diagnostic guidance for manual execution.

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• Investigate sudden drops in conversions or conversion value
• Identify budget or ad rank limits on impression share
• Separate traffic declines from conversion rate declines