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Melodic Software

Reusable agent skills published under this GitHub owner—sorted by stars with aggregate signals below.
10 skills130 GitHub stars0 weekly installsGitHub
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10 skills

plantuml-syntax
Python

Authoritative reference for PlantUML diagram syntax. Provides UML and non-UML diagram types, syntax patterns, examples, and setup guidance for generating accurate PlantUML diagrams.

adr-management
Python

Create and manage Architecture Decision Records (ADRs). Use when documenting technology choices, design decisions, or architectural changes that need to be tracked over time. This is the CANONICAL ADR skill - all ADR-related work should use this skill.

e2e-test-design
Python

Design E2E tests following user-story-driven patterns with verification checkpoints. Use when creating end-to-end tests, validating complete user journeys, or designing Playwright/Cypress test patterns.

gherkin-authoring
Python

Gherkin acceptance criteria authoring. Use when writing Given/When/Then scenarios, feature files, or BDD-style specifications. Provides syntax reference, best practices, and Reqnroll integration guidance.

threat-modeling
Python

Threat modeling methodologies (STRIDE, DREAD), attack trees, threat modeling as code, and integration with SDLC for proactive security design

architecture-documentation
Python

Generate architecture documents using templates with diagram integration. Use for creating C4 diagrams, viewpoint documents, and technical overviews.

container-security
Python

Container and Kubernetes security patterns including Docker hardening, image scanning, pod security standards, network policies, RBAC, secrets management, and runtime protection. Use when securing containerized applications, building secure images, or configuring Kubernetes security controls.

business-model-canvas
Python

Business model design using Osterwalder's Business Model Canvas and Lean Canvas. Creates 9-block canvases with structured analysis for business model innovation and startup validation.

event-storming
Python

AI-simulated event storming workshop with multi-persona support. Use when discovering domain events, commands, actors, and bounded contexts. Supports three modes - full-simulation (5 persona agents debate), quick (single-pass analysis), and guided (interactive with user). Orchestrates persona agents and synthesizes results.

uml-modeling
Python

UML diagram generation including class, sequence, activity, use case, and state diagrams

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