Apply IN4 Contra-Logic to argue the opposite position to stress-test assumptions and expose weak reasoning.

Apply IN7 Boundary Testing to explore extreme conditions to find system limits and breaking points.

Expert guidance for building and maintaining the Para Obsidian inbox processing system - a security-hardened automation framework for processing PDFs and attachments with AI-powered metadata extraction. Use when building inbox processors, implementing security patterns (TOCTOU, command injection prevention, atomic writes), designing interactive CLIs with suggestion workflows, integrating LLM detection, implementing idempotency with SHA256 registries, or working with the para-obsidian inbox codebase. Covers engine/interface separation, suggestion-based architecture, confidence scoring, error taxonomy, structured logging, and testing patterns. Useful when user mentions inbox automation, PDF processing, document classification, security-hardened file processing, or interactive CLI design.

Expert SRE incident responder specializing in rapid problem

Comprehensive incident root cause analysis skill for distributed systems. Analyzes logs, metrics, and traces to identify cascading failures, resource contention, and root causes through systematic anomaly detection, timeline correlation, and evidence-based hypothesis testing.

Use when writing code, documentation, or comments - always use accessible and respectful terminology

Generate culturally diverse names for examples, mock data, and test fixtures. Includes edge-case names that catch bugs.

Detect and resolve incoherence in documentation, code, specs vs implementation. Includes reconciliation phase for applying user-provided resolutions.

Income approach land valuation by capitalizing land rent (telecom sites, agricultural rent, ground leases). Market rent analysis, cap rate selection, reconciliation with sales. Use for income-producing land valuation

Plan and create SpecWeave increments with PM and Architect agent collaboration. Use when starting new features, hotfixes, bugs, or any development work that needs specification and task breakdown. Creates spec.md, plan.md, tasks.md with proper AC-IDs and living docs integration.

AI-powered quality assessment using LLM-as-Judge pattern with BMAD risk scoring and formal gate decisions. Use for evaluating increment specs, assessing task completeness, or making quality gate decisions (PASS/CONCERNS/FAIL). Chain-of-thought reasoning ensures transparent evaluation.

Plan new Product Increment. Use when starting new features, hotfixes, or development work that needs specification.

Use when implementing features or refactoring with TDD - enforces writing ONE test at a time, implementing minimal code to pass, then repeating, preventing batch test writing that defeats incremental design discovery

Research-driven investigation skill for validating solutions and exploring documentation. Never ask questions you can answer yourself through research. Use WebFetch, WebSearch, and testing to validate ideas before presenting them. Deliver concrete, tested recommendations with evidence.

Analyze database queries and recommend missing indexes with performance impact analysis

Ability to analyse, design, optimise, and improve systems that integrate people, processes, technology, and resources to meet defined performance, quality, cost, and safety requirements. Includes applying engineering, statistical, and systems methods to model workflows, identify inefficiencies, evaluate trade-offs, and implement improvements across operations and supply chains. Applies across manufacturing, services, logistics, healthcare, and infrastructure contexts and is independent of specific tools or industries, with human accountability retained for decisions, outcomes, and impacts.

Deep domain research and expertise synthesis across industries, combining academic research, market intelligence, and practitioner knowledge

SQLite database for Israeli Tech Nano-Influencers with direct sqlite3 command-line access. Execute any SQL query or inspect schema. Simple and agent-friendly.

Design information architecture - site structure, navigation, card sorting, tree testing, taxonomy, labeling systems, and findability.

infra-adoption

infra-debugger

infra-tester

Troubleshooting dependencies, installations, environment issues, and platform-specific problems. Use when facing npm/pip/package errors, installation failures, environment setup issues, or platform compatibility problems.

Infrastructure, cloud, and DevOps standards. Use when setting up new projects, configuring cloud resources, or working with IaC.

Creates AI agent task management structure with feature backlog (ai/tasks/), TDD enforcement, and progress tracking. Use when setting up agent-foreman, initializing feature-driven development, creating task backlog, or enabling TDD mode. Triggers on 'init harness', 'setup feature tracking', 'create feature backlog', 'enable strict TDD', 'initialize agent-foreman'.

Initialize and configure local development tooling for TypeScript, Rust, and Python projects including monorepos. Use when setting up linting (ESLint, Biome, clippy, ruff), formatting (Prettier, rustfmt, ruff), type checking (tsc, mypy), testing (Vitest, Jest, cargo test, pytest), Git hooks (lefthook for commit-msg, pre-commit, pre-push), GitHub Actions workflows, package publishing (npm, crates.io, PyPI), version management (Changesets), and automated releases. Covers both single-language projects and multi-language monorepos using Nx + pnpm workspaces.

Scaffold projects with agentic coding structure for AI-assisted development.

Initialize complete governance framework in a project - creates constitution, roadmap, directory READMEs, and issue/spec templates with guided setup process

Initialize long-running agent projects with environment setup, feature list generation, and progress tracking. Use when starting a new implementation project or setting up an existing codebase for Claude-assisted development. Creates init.sh (dev server script), claude-progress.txt (work log), and docs/features.json (feature list with status tracking).

Validate NoSQL injection vulnerabilities across MongoDB, Cassandra, CouchDB, Redis, and other NoSQL databases. Test operator injection, JavaScript injection, and query manipulation patterns. Use when testing CWE-943 (Improper Neutralization of Special Elements in Data Query Logic) and related NoSQL injection classes.

This skill should be used when developing, optimizing, testing, or submitting algorithms for The Innovation Game challenges (3-SAT, CVRP, Knapsack). Use it for algorithm development, performance optimization, local testing, dry-run validation, or submission to earn TIG tokens through improved computational algorithms.

Supabase-style connection UI for managing InsightPulse AI infrastructure (Supabase, Odoo, Superset, MCP servers, PostgreSQL, APIs). Self-hosted connection manager module for Odoo 19 that provides unified connection management, auto-generated configurations, connection testing, and beautiful Kanban interface.

Business intelligence expert - creates actionable insights, visualizations, and executive reports from GabeDA model outputs. Identifies data gaps and recommends new features.

Discovers and indexes Python code in skills, enabling cross-skill imports. Use when importing functions from other skills or analyzing skill codebases.

Create Instagram-specific content strategies for Reels, Stories, feed posts, and growth optimization

Use when adding project dependencies. Defines dependency management rules and language-specific patterns.

Installs and configures project infrastructure including MkDocs Material intelligent textbook templates, learning graph viewers, and skill tracking systems. Routes to the appropriate installation guide based on what the user needs to set up.

Use when setting up git pre-commit and pre-push hooks - provides simple shell script approach and pre-commit framework method, both calling justfile commands for DRY principle

Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library

Insurance policy analysis, claims evaluation, coverage assessment, and risk management for individuals and businesses

Analyzes and compares health insurance plans (individual vs group), calculates costs, verifies networks, and generates formatted comparison reports for decision-making

Systematic workflow and API reference for integrating Streamlit playground with vrp-toolkit modules. Use when developing playground features, connecting UI to vrp-toolkit APIs, or encountering API signature mismatches. Provides interface mapping table, contract test integration, and troubleshooting guide to avoid token-intensive source code exploration.

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Complete workflow for integrating Stripe payments (subscriptions or one-time) with Convex + Next.js. Includes hosted checkout, webhooks, UI components, and testing. Use when adding payment functionality to a Convex + Next.js app.

Complete guide for integrating Stripe payments (subscriptions or one-time) with Convex + Next.js. Includes user interviews, API setup, webhook configuration, testing phases, and production deployment. Use this skill when Adding payment functionality to a Convex + Next.js app

Use when implementing Stripe webhook endpoints and getting 'Raw body not available' or signature verification errors - provides raw body parsing solutions and subscription period field fixes across frameworks

Эксперт по интеграционным спецификациям. Используй для документирования интеграций, webhooks, event schemas и data flows.

RAN system integration with microservices architecture, cognitive consciousness, and intelligent orchestration for seamless network integration. Use when integrating RAN systems, implementing microservices architecture, designing service orchestration, or enabling intelligent network integration.

This skill should be used when creating new integration tests for Breenix kernel features. Use for writing shared QEMU tests with checkpoint signals, creating xtask test commands, adding test workflows, and following Breenix testing patterns.