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majesticlabs-dev

majesticlabs-dev

169 Skills published on GitHub.

release

Release a marketplace plugin - bump version, verify checklist, commit, and push in one invocation. Use when shipping a new version of any plugin in plugins/.

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skill-linter

Validate skills against agentskills.io specification. Use when adding new skills to the marketplace, reviewing skill PRs, checking skill compliance, or running quality gates on skills. Validates frontmatter fields (name, description, compatibility, metadata, allowed-tools), directory naming, line limits, and structure.

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gemini-image-coder

Generate and edit images using Google's Gemini API. Supports text-to-image, image editing, multi-turn refinement, and composition from multiple reference images.

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anomaly-detector

Detect anomalies in data using statistical and ML methods. Z-score, IQR, Isolation Forest, and time-series anomalies.

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csv-wrangler

Handle messy CSVs with encoding detection, delimiter inference, and malformed row recovery.

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data-profiler

Generate data profiles with column stats, correlations, and missing patterns for DataFrames. Use for EDA and data discovery.

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data-quality

Quality dimensions, scorecards, distribution monitoring, and freshness checks. Use for data validation pipelines and quality gates.

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data-validation

Data validation patterns and pipeline helpers. Custom validation functions, schema evolution, and test assertions.

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dbt-coder

dbt (data build tool) patterns for model organization, incremental strategies, and testing.

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etl-core-patterns

Core ETL reliability patterns including idempotency, checkpointing, error handling, chunking, retry logic, and logging.

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etl-incremental-patterns

Incremental data loading patterns including backfill strategies, CDC, timestamp-based loads, and pipeline orchestration.

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etl-patterns

Production ETL patterns orchestrator. Routes to core reliability patterns and incremental load strategies.

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great-expectations

Data validation using Great Expectations. Expectation suites, checkpoints, and data docs for pipeline monitoring.

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pandas-coder

DataFrame manipulation with chunked processing, memory optimization, and vectorized operations.

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pandera-validation

DataFrame schema validation using pandera. Schema definitions, column checks, and decorator-based validation.

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parquet-coder

Columnar file patterns including partitioning, predicate pushdown, and schema evolution.

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pydantic-validation

Record-level data validation using Pydantic models. Field validators, model validators, and batch validation patterns.

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schema-discoverer

Infer schema from sample data files (CSV, JSON, Parquet) and generate type definitions.

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source-analyzer

Analyze data source characteristics including update frequency, volume patterns, and schema stability.

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sql-patterns

Advanced SQL patterns including window functions, CTEs, recursive queries, and optimization techniques.

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test-fixture-generator

Generate synthetic test data with edge cases for ETL pipeline testing.

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testing-patterns

Pytest templates and patterns for ETL pipeline testing - unit, integration, data quality.

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ansible-coder

This skill guides writing Ansible playbooks for server configuration. Use when hardening servers, installing packages, or automating post-provisioning tasks that cloud-init cannot handle.

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backblaze-coder

This skill guides Backblaze B2 Cloud Storage integration with OpenTofu/Terraform and B2 CLI. Use when managing B2 buckets, application keys, file uploads, lifecycle rules, or S3-compatible storage.

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cloud-init-coder

This skill guides writing cloud-init configurations for VM provisioning. Use when creating user_data blocks in Terraform/OpenTofu, or cloud-init YAML for AWS, DigitalOcean, GCP, or Azure instances.

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cloudflare-coder

This skill guides provisioning Cloudflare infrastructure with OpenTofu/Terraform. Use when managing zones, DNS records, WAF rules, SSL settings, Page Rules, or cache configuration.

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devops-maintainability-checker

Infrastructure maintainability verification covering naming conventions, formatting, DRY patterns, and version constraints.

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devops-plan

Gather DevOps context for infrastructure planning. Detects IaC tools, providers, and recommends skills. Use when Skill("blueprint") detects infrastructure work.

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devops-platform-patterns

Platform-specific IaC checklists for DigitalOcean, Hetzner, AWS, and Cloudflare.

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devops-simplicity-checker

Infrastructure simplicity scoring. Detects overengineering in Terraform/OpenTofu and Ansible configurations.

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devops-verifier

Verify DevOps/infrastructure code against best practices, security, simplicity, and documentation standards. Use after implementing or before shipping infrastructure changes.

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digitalocean-coder

This skill guides writing DigitalOcean infrastructure with OpenTofu/Terraform. Use when provisioning Droplets, VPCs, Managed Databases, Firewalls, or other DO resources.

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hetzner-coder

This skill guides provisioning Hetzner Cloud infrastructure with OpenTofu/Terraform. Use when creating servers, networks, firewalls, load balancers, or volumes on Hetzner Cloud.

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infra-security-review

Security patterns and checklists for reviewing Infrastructure-as-Code. Covers Terraform/OpenTofu state, secrets, network, compute, database, and storage security.

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onepassword-cli-coder

This skill guides integrating 1Password CLI (op) for secret management in development workflows. Use when loading secrets for infrastructure, deployments, or local development.

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opentofu-coder

This skill guides writing Infrastructure as Code using OpenTofu (open-source Terraform fork). Use when creating .tf files, managing cloud infrastructure, configuring providers, or designing reusable modules.

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wrangler-coder

This skill guides Cloudflare Workers and Pages development with Wrangler CLI. Use when creating Workers, configuring D1 databases, R2 storage, KV namespaces, Queues, or deploying to Cloudflare Pages.

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ai-work-governance

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auto-decision-framework

Framework for automated decision-making during multi-step planning workflows. Classifies planning decisions as Mechanical (auto-decide silently), Taste (auto-decide but surface at gate), or User Challenge (never auto-decide). Reduces question fatigue by batching only decisions that need human judgment. Use when running blueprint, PRD, refactor-plan, or any workflow that asks 5+ intermediate planning questions.

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backlog-manager

Manage backlog items across multiple backends (GitHub Issues, Linear, Beads). Configure task_management in .agents.yml.

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blueprint-discovery

Discovery phase for blueprint workflow - interview triggers, acceptance criteria, and feature classification

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blueprint-research

Research phase for blueprint workflow - toolbox resolution, lessons discovery, and parallel research agents

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blueprint

Transform feature descriptions into well-structured project plans

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build-task

Autonomous task implementation - research, plan, build, review, fix, ship

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cloudflare-worker

Build edge-first TypeScript applications on Cloudflare Workers. Covers Workers API, Hono framework, KV/D1/R2 storage, Durable Objects, Queues, and testing patterns. Use when creating serverless workers, edge functions, or Cloudflare-deployed services.

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code-review

Generic code review that auto-detects tech stack and delegates to appropriate framework-specific orchestrator

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config-reader

Read project config from .agents.yml and .agents.local.yml with local overrides. Supports dot notation for nested fields. Invoke when agents/skills reference `config_read("field", "default")` pseudocode. Args format "FIELD DEFAULT".

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create-adr

Create Architecture Decision Records (ADRs) to document significant technical decisions, their context, alternatives considered, and consequences. Use when making architectural choices, selecting libraries/frameworks, or designing system components.

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debug

Debug errors, test failures, or unexpected behavior. Auto-detects project type.

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design-tool-picker

Help choose the right design tool based on your current task. Use when unsure whether to use frontend-design, ui-ux-designer, visual-validator, or ui-code-auditor.

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