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Ankh Studio

Official

@ankh-studio · United States of America

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14Public Repos
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41Published Skills

Offers enterprise-grade quality governance, architectural decision management, and rigorous evaluation frameworks for software development lifecycles and technical documentation.

Skills Distribution
DomainDeveloper To...Quality Governance.. (40%)Architectural Deci.. (30%)Repository & Tech .. (30%)

Agent Skills by Ankh Studio

Showing 41 vetted skills indexed across 2 GitHub repositories.

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adr-generator

Generate structured Markdown or JSON Architecture Decision Records from assessment data.

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Advanced
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AI Enablement Assessment

Analyze repository AI enablement readiness and generate an Architecture Decision Record.

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Advanced
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ai-enablement-orchestrator

Coordinate tech stack analysis, security scanning, readiness scoring, and ADR generation.

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Advanced
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readiness-scorer

Calculate three-dimensional AI enablement readiness scores from tech stack and security inputs.

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Intermediate
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tech-stack-analyzer

Analyze a repository's technology stack using @specfy/stack-analyser to detect over 700 technologies.

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Intermediate
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rubrics

Validate AI agent rubrics and run adversarial testing with Python scripts.

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Advanced
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prompt-evaluation

Evaluate prompt quality against clarity, specificity, context, constraints, and examples.

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Intermediate
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batch-evaluation

Process multiple artifacts concurrently to generate comparative analysis and trend reports.

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Intermediate
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architecture-debate

Structures debates among multiple personas to resolve architectural design choices.

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Intermediate
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artifact-evaluation

Evaluate Copilot artifacts against structured rubrics using Chain-of-Verification.

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Intermediate
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validate-rubrics

Stress-test evaluation rubrics for vulnerabilities and validate hardened versions.

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Advanced
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pack-context-analyzer

Evaluate pack context against rubric criteria and generate enhancement recommendations.

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Intermediate
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skill

Evaluate skill artifacts against a structured rubric for quality assurance.

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Intermediate
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adversarial

Executes adversarial attack patterns and stress tests to assess AI model vulnerabilities.

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Advanced
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enterprise-onboarding-orchestrator

Automate team member onboarding with personalized learning paths and progress tracking.

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Advanced
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enterprise-change-handoff-orchestrator

Automate change handoff processes with structured knowledge transfer and business continuity planning.

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Advanced
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enterprise-github-hooks-orchestrator

Configure and manage GitHub hooks for pre-commit, commit-msg, pre-push, and post-commit workflows.

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Advanced
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enterprise-quality-governor

Enforce quality governance and compliance policies across CI/CD pipelines.

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Advanced
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enterprise-integration-orchestrator

Orchestrate enterprise integration workflows across ERP, CRM, and cloud services.

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Advanced
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pack-template-evaluator

Evaluate pack templates against quality, reusability, and ecosystem criteria.

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Intermediate
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agent

Evaluate AI agent artifacts against a predefined rubric with weighted scores.

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Intermediate
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enterprise-pr-delivery-orchestrator

Automates enterprise PR lifecycle from creation to deployment with quality gates.

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Advanced
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debate

Resolves architectural choices by simulating expert debates between differing viewpoints.

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Intermediate
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enterprise-team-metrics-orchestrator

Automate collection, analysis, and reporting of enterprise team success metrics.

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Advanced

Frequently Asked Questions About Ankh Studio

FAQPage Schema
What specific tasks can I perform using these evaluation capabilities?

You can perform automated quality assurance on artifacts, generate structured Architecture Decision Records, conduct adversarial stress testing on models, and analyze repository technology stacks to identify architectural patterns and compliance readiness.

Which technical personas benefit most from these evaluation frameworks?

These capabilities are designed for Software Architects, DevOps Engineers, and Quality Assurance leads who require structured governance, automated documentation generation, and rigorous validation of development artifacts within enterprise environments.

What are the primary dependencies for running these evaluation modules?

These modules require access to your repository structure, CI/CD pipeline hooks, and defined quality rubrics. They integrate with existing version control systems to analyze codebases and generate evidence-based improvements or documentation.