Diego Bodart
Community@hermeticormus
☉ Dev tools · LLM systems · Whatever needs to exist | Concept to deployed | Open source as default | ormus.solutions
Agent Skills by Diego Bodart
Showing 199 vetted skills indexed across 8 GitHub repositories.
azure-patterns
Implements production Azure infrastructure patterns using Bicep modules, AKS Workload Identity, and Azure DevOps pipelines.
ansible-patterns
Provides production-tested Ansible playbook, role, vault, and inventory patterns with YAML and Jinja2 examples.
lb-patterns
Configure load balancers with NGINX, HAProxy, AWS ALB, and Traefik patterns.
analyze-complexity
Analyze task complexity to recommend meta-prompting strategies.
extract-context
Extract patterns, constraints, and success indicators from LLM outputs.
nexus-tui-generator
Generate TUI applications from natural language descriptions via iterative meta-prompting.
devguide-patterns
Structure technical documentation using the Diátaxis framework and code example best practices.
Developer Guide Patterns
Provide standardized patterns and anti-patterns for developer onboarding and contribution documentation.
Error Message Patterns
Design structured error messages with RFC 7807 and HTTP status codes.
Spec Writing Patterns
Write testable technical specifications using Gherkin acceptance criteria and modal verbs.
Runbook Patterns
Generate standardized runbook templates with symptom, cause, and remedy patterns.
User Doc Patterns
Guide technical writers in creating clear end-user documentation.
README Templates
Generate README structures with content organization and section best practices.
README Patterns
Generate structured README files for libraries, CLIs, and services.
Arch Doc Patterns
Standardize architecture documentation with C4, ADR, and arc42 patterns.
ADR Templates
Generate Markdown-based ADRs using MADR and Y-Statement templates.
kb-patterns
Guide knowledge base article creation with title, taxonomy, structure, and lifecycle best practices.
Release Note Formats
Structure release notes for audiences, channels, and release types.
Release Note Patterns
Structure release notes for audiences with benefit-first and breaking change patterns.
Proposal Writing Patterns
Generate markdown templates for technical proposal writing with success metrics.
API Documentation Patterns
Document OpenAPI specifications with parameter, request, response, and schema guidelines.
OpenAPI Patterns
Author OpenAPI 3.x specifications with schema design and RFC 7807 error handling.
Content Strategy Patterns
Classify technical documentation content using the Diátaxis model.
Doc Testing Patterns
Test technical documentation with doctest, Vale, and link checking.
Frequently Asked Questions About Diego Bodart
FAQPage SchemaWhat tasks can I accomplish with HermeticOrmus's skill registry?▼
You can generate technical documentation (READMEs, ADRs, runbooks, tutorials), scaffold cloud infrastructure (Kubernetes, Helm, Terraform, GitOps), build LLM systems (RAG, LangChain, meta-prompting), implement ML pipelines (MLflow, PyTorch, distributed training), and integrate Stripe or PayPal payments with PCI compliance.
Who is the target audience for these skills?▼
The registry targets software engineers, DevOps and SRE practitioners, technical writers, ML engineers, and LLM application developers. Skills span documentation standards, CI/CD pipeline design, Kubernetes security policies, smart contract testing, and prompt engineering for production systems.
How do I install and run these skills?▼
Skills are distributed as folders containing SKILL.md files with YAML frontmatter, designed for Claude-compatible agent environments. Clone the relevant repository from the HermeticOrmus GitHub profile, place the skill folder in your agent's skills directory, and invoke it by name during a session.
Are these skills free and open source?▼
Yes. The author states 'open source as default' in their bio, and all 221 skills are published across 109 public GitHub repositories under the HermeticOrmus account. There is no listed cost; you can inspect, fork, and adapt any skill directly from the source repositories.
What prerequisites do these skills require?▼
Prerequisites vary by skill: documentation skills need only Markdown tooling, while infrastructure skills require kubectl, Helm, Terraform, or cloud CLI access. ML skills assume PyTorch, MLflow, or GPU environments, and payment skills require Stripe or PayPal developer accounts with API credentials.