Expert helper for bash scripting, debugging, and best practices

Use when creating or editing any bash script (.sh) - ensures shellcheck passes after every edit with zero warnings

Generate bash script templates with best practices including error handling, argument parsing, logging, and portability considerations.

Write robust, maintainable bash scripts with proper error handling.

Testing frameworks and patterns for shell scripts, focusing on shunit2 and shellspec.

Proper usage of Bash and file operation tools. Use this skill when executing shell commands, writing files, or when tempted to use echo/cat/heredoc to pipe content to files. Prevents permission circumvention patterns like piping multiline content through echo instead of using Write tool. Covers Bash tool, Write tool, Edit tool, and Read tool best practices.

Ultra-concise bash command patterns. Use when constructing shell commands or one-liners.

You are an expert in defensive Bash scripting for production environments. Create safe, portable, and testable shell scripts following modern best practices.

Evaluation of BaSiC illumination correction caching - NOT RECOMMENDED for sparse markers. Trigger: optimizing BaSiC, caching illumination correction

Use when getting started with llmemory document storage and search - covers installation, initialization, adding documents, vector search, hybrid search, semantic search, BM25 full-text search, document management, and building RAG systems with multi-tenant support

Daily Git workflow - add, commit, push, pull cycle for everyday development

Brief description of what this Skill does and when to use it. This field is critical for Claude to discover when to invoke your skill.

Use when storing project artifacts in basic memory storage.

This skill should be used when users need to rent GPUs, run ML training jobs, or manage compute resources on Basilica's decentralized GPU marketplace. Use it for PyTorch/TensorFlow training, distributed training setup, GPU rental management, cost monitoring, or any Basilica CLI workflows. Includes workaround for non-TTY environments like Claude Code.

This skill should be used when setting up, managing, or troubleshooting Basilica GPU miner operations on Bittensor Subnet 39 (mainnet) or 387 (testnet). Use it for GPU provider tasks including SSH configuration, validator authentication setup, node registration, performance monitoring, uptime optimization, and resolving common issues like SSH access problems, validator discovery failures, or GPU validation errors. Critical for miners struggling with SSH key deployment to GPU nodes or validator connectivity.

Batch convert multiple CAD/BIM files (Revit, IFC, DWG, DGN) with progress tracking, error handling, and consolidated reporting.

The batch is the atomic unit - UI patterns centered around batch management

batch-coordinator

Batch effect correction for CRISPR screens. Covers normalization across batches, technical replicate handling, and batch-aware analysis. Use when combining screens from multiple batches or correcting systematic technical variation.

Designs experiments to minimize and account for batch effects using balanced layouts and blocking strategies. Use when planning multi-batch experiments, assigning samples to sequencing lanes, or designing studies where technical variation could confound biological signals.

Download large datasets from NCBI efficiently using history server, batching, and rate limiting. Use when performing bulk sequence downloads, handling large query results, or production-scale data retrieval.

Validate production batch execution - trigger daily runs and analyze traces for architecture completeness and result quality

Integrate multiple scRNA-seq samples/batches using Harmony, scVI, Seurat anchors, and fastMNN. Remove technical variation while preserving biological differences. Use when integrating multiple scRNA-seq batches or datasets.

**Persona:** Efficiency obsessive - one operation is fine, three identical operations is a code smell.

Implement robust batch processing systems with job queues, schedulers, background tasks, and distributed workers. Use when processing large datasets, scheduled tasks, async operations, or resource-intensive computations.

Collect-then-batch pattern for database operations achieving 30-40% throughput improvement. Includes graceful fallback to sequential processing when batch operations fail.

Parallel processing for validated assets. Input array of 3-5 assets → simultaneous IDF extraction, package generation, file operations. Replaces serial workflow with parallel execution.

Use when asked to generate multiple QR codes from CSV data, create bulk QR codes with tracking, or generate QR codes for events/products.

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Generate GenuVerity fact-check reports from structured input (Gemini research output). Use /batch-report to process research into HTML reports. Optimized for token efficiency - expects pre-researched sources.

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Batch process books through the complete pipeline - generate cropped images for split pages, OCR all pages, then translate with context. Use when asked to process, OCR, translate, or batch process one or more books.

Effect provides automatic optimization for API calls:

Structured 10-stage methodology for planning bathroom layouts with focus on ergonomics, functionality, and safety. Use when planning bathroom furniture placement, optimizing bathroom space, arranging bathroom fixtures (toilet, sink, bathtub, washing machine), or solving bathroom layout challenges. Applicable to large bathrooms (10+ square meters) with flexible plumbing.

Manages context across sessions and compactions using TLDR summaries and structured documentation.

Bash Automated Testing System (BATS) for TDD-style testing of shell scripts. Use when: (1) Writing unit or integration tests for Bash scripts, (2) Testing CLI tools or shell functions, (3) Setting up test infrastructure with setup/teardown hooks, (4) Mocking external commands (curl, git, docker), (5) Generating JUnit reports for CI/CD, (6) Debugging test failures or flaky tests, (7) Implementing test-driven development for shell scripts.

Guides battery chemistry and charging circuit selection for embedded projects.

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Template system for building, tagging, and distributing competitive battlecards.

Use to standardize competitive positioning, objection handling, and talk

An internal cognitive engine for quantitative root cause analysis. Use this autonomously when you need to weigh competing hypotheses, prevent anchoring bias, or determine the most efficient next diagnostic step.

Use when making predictions or judgments under uncertainty and need to explicitly update beliefs with new evidence. Invoke when forecasting outcomes, evaluating probabilities, testing hypotheses, calibrating confidence, assessing risks with uncertain data, or avoiding overconfidence bias. Use when user mentions priors, likelihoods, Bayes theorem, probability updates, forecasting, calibration, or belief revision.

Use when performing Bayesian statistical analysis, building probabilistic models, or when the task involves prior specification, posterior inference, or predictive checks.

Agent logs, reasoning, and token tracking. Use when logging interactions, saving reasoning, tracking tokens, or managing events.

Context packages and learning patterns. Use when managing context packages, error patterns, or strategies.

Session lifecycle and system operations. Use when creating sessions, saving state, getting dashboard data, or running system queries.

Task groups and development planning. Use when managing task groups, development plans, or success criteria.

DEPRECATED - Use domain-specific skills instead. Routes to bazinga-db-core, bazinga-db-workflow, bazinga-db-agents, or bazinga-db-context.

Validates BAZINGA completion claims with independent verification. Spawned ONLY when PM sends BAZINGA. Acts as final quality gate - verifies test failures, coverage, evidence, and criteria independently. Returns ACCEPT or REJECT verdict.

Replace human review with reproducible evidence. Always provide deterministic receipts, never narratives.