Execute approved task specifications sequentially with TDD, comprehensive testing, and validation. This skill should be used for implementing tasks from approved specs with full audit trail.

This skill should be used when executing tasks from ai-state/active/tasks.yaml sequentially. It loads tasks, gathers context, implements features with phase-appropriate testing, updates task status in tasks.yaml, organizes tests into ai-state/regressions/ folders, and logs all operations to operations.log. Use after write-plan creates tasks.yaml or when resuming development work.

Complete development lifecycle for GitHub/local issues - branch, implement, test, PR, merge with quality gates

Execute a discrete GitHub issue from a detailed plan file (gi_*.md). Use when implementing a specific, well-defined task with an existing implementation plan in doc/plans/issues/. Handles status tracking, verification, and issue lifecycle.

Handle common execution failures with specialized recovery strategies. Fix syntax errors, import/dependency issues, path/file problems, permission denial, and connection timeouts. Use proactively when encountering errors or as automatic recovery mechanism.

Implement approved plans into production-ready code. Use when user wants to build, implement, code, or execute an approved plan. Activates when user says 'let's build', 'implement this', 'start coding', or 'execute the plan'.

Transform poorly formatted executive summaries into professionally formatted documents matching a specific brand template. Use when the user provides an executive summary (text, markdown, docx, or PDF) and wants it reformatted with precise brand styling including Work Sans fonts, branded color scheme (red #DA291C accent, navy #032340 table headers), specific table formatting, header/footer with logo graphics, and consistent spacing. This skill ensures pixel-perfect replication of the template's typography, tables, bullets, and page layout.

Strategic leadership for GabeDA - refines requirements, orchestrates skills, makes architectural decisions, and ensures project coherence. Acts as CEO/CTO/PM to bridge vision and execution.

Code generation and file modification agent with delegation capabilities

Designs deliberate practice exercises applying evidence-based learning strategies like retrieval practice, spaced repetition, and interleaving. Activate when educators need varied exercise types (fill-in-blank, debug-this, build-from-scratch, extend-code, AI-collaborative) targeting learning objectives with appropriate difficulty progression. Creates exercise sets that apply cognitive science principles to maximize retention and skill development. Use when designing practice activities for Python concepts, creating homework assignments, generating problem sets, or evaluating exercise quality.

Break a high-level backlog item into executable sub-items

Working expectations and documentation practices. Use when capturing learnings or understanding how to work with this codebase.

UX/UI design and user experience

Generates a rigorous experiment design given a hypothesis. Use when asked to design experiments, plan experiments, create an experimental setup, or figure out how to test a research hypothesis. Covers controls, baselines, ablations, metrics, statistical tests, and compute estimates.

Toolkit for structuring hypotheses, variants, guardrails, and measurement

Comprehensive guide to A/B testing, multivariate testing, statistical significance, and experiment analysis for data-driven product decisions

Create a new experiment workspace directory: initialize git, write an AGENTS.md goal doc, and create references/ with index.md + notes/links markdown plus GitHub repos cloned under references/repos (gitignored). Use when the user asks to spin up a scratch/research/experiment folder and provides repos, links, and/or notes to collect.

experiment-tracker

Planning or executing thesis experiments. Covers the lifecycle from ideation through polishing, tracking table, SPEC.md format, stage structure.

Do experiment-driven research (hypotheses → minimal repros → evidence) and continuously improve research skills + tooling. Use when behavior is uncertain, contested, or performance-sensitive.

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Comprehensive guidance for understanding, designing, and implementing expert systems using rule-based inference, knowledge representation, and the complete development lifecycle. Use when users need help with expert system concepts, architecture design, rule-based reasoning (forward/backward chaining), knowledge acquisition, development planning, or implementation strategies.

Design YAML expertise file structures for agent experts. Use when creating mental models for domain-specific agents, defining expertise schema, or structuring knowledge for Act-Learn-Reuse workflows.

Explain how code works in detail. Use when trying to understand unfamiliar code, complex logic, or system architecture.

Exploit researcher persona specializing in attack surface analysis, exploit scenario generation, and vulnerability chaining

Produce structured spec.md from brainstorm conversations. Creates a consistent format that feeds cleanly into the planning phase.

Systematic exploratory data analysis process - discover patterns in unfamiliar data, identify meaningful insights, formulate specific questions for deeper investigation

Advanced exploratory testing techniques with Session-Based Test Management (SBTM), RST heuristics, and test tours. Use when planning exploration sessions, investigating bugs, or discovering unknown quality risks.

Explores data in a Bauplan lakehouse safely using the Bauplan Python SDK. Use to inspect namespaces, tables, schemas, samples, and profiling queries; and to export larger result sets to files. Read-only exploration only; no writes or pipeline runs.

You are an expert codebase exploration specialist with deep understanding of code patterns, architectural structures, and implementation details. Your expertise lies in efficiently navigating unfamili

Semantic search for codebases. Locates matches with ripgrep and expands them into full AST nodes (functions/classes) using tree-sitter. Returns complete, syntactically valid code blocks rather than fragmented lines. Use when looking for specific implementations, examples, or references where full context is needed.

Эксперт Expo конфигурации. Используй для React Native Expo, app.json и EAS Build.

Designs modern, clean iOS screens and components for Expo React Native apps following Apple HIG with safe areas, Dynamic Type, dark mode, accessibility, Liquid Glass materials, and App Store readiness.

Building great Expo native modules for iOS and Android. Views, APIs, Marshalling, Shared Objects, Expo Documentation, Verifying Expo modules.

Expo SDK 54+ workflows, EAS Build/Update, Expo Router v6, native tabs. Use for Expo development or OTA update strategies.

Migrate Express.js REST APIs to Fastify with automated testing, performance benchmarking, and schema generation. Use when migrating Express applications to Fastify, modernizing Node.js APIs, improving API performance, or when users mention Express to Fastify migration, Fastify conversion, API modernization, or performance optimization of Express apps.

Express + TypeScript starter with Biome, Docker, and Vitest.

Expert in legal entitlement to compensation components including market value framework (valuation date, highest and best use, special purchaser exclusion), disturbance damages legal tests (causation, reasonableness, foreseeability), injurious affection framework (Antrim test, construction vs. permanent), and business losses compensability. Use when analyzing legal entitlement (not valuation amount). Key terms include legal entitlement, valuation date, highest and best use, but-for test, Antrim four-part test, goodwill non-compensable

Outline extension implementing protocol for documentation domain

Outline extension skill for plugin development domain - discovery, analysis, deliverable creation

Triage extension for documentation findings during plan-finalize phase

Triage extension for Java findings during plan-finalize phase

You are a specialized assistant for helping users choose the right Claude Code extensibility features. Your purpose is to analyze use cases and recommend the most appropriate approach from Skills, Com

Use this skill when the user needs help building, testing, or deploying custom LimaCharlie extensions.

Migrates IdeaVim extensions from the old VimExtensionFacade API to the new @VimPlugin annotation-based API. Use when converting existing extensions to use the new API patterns.

Comprehensive guide for configuring, troubleshooting, and implementing External-DNS across Azure DNS, AWS Route53, Cloudflare, and Google Cloud DNS. Use when implementing automatic DNS management in Kubernetes, configuring provider-specific authentication (managed identities, IRSA, API tokens), troubleshooting DNS synchronization issues, setting up secure production-grade external-dns deployments, optimizing performance, avoiding rate limits, or implementing GitOps patterns with ArgoCD.

Verify external libraries, APIs, and frameworks against current documentation before writing code. Use when about to implement features using external dependencies, when writing import statements for third-party libraries, when unsure if a pattern or method is current, or when the user mentions grounding or verification.

Choose optimal external AI models for code analysis, bug investigation, and architectural decisions. Use when consulting multiple LLMs via claudish, comparing model perspectives, or investigating complex Go/LSP/transpiler issues. Provides empirically validated model rankings (91/100 for MiniMax M2, 83/100 for Grok Code Fast) and proven consultation strategies based on real-world testing.

Conduct comprehensive external network penetration testing including OSINT reconnaissance, subdomain enumeration, exposed service discovery, vulnerability scanning, and exploitation of internet-facing