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Agent Skills Catalog

This directory houses the domain-specific capabilities, operational workflows, and safety guardrails utilized by Open Cloud Agents.

Skills empower autonomous agents with deep procedural knowledge, tool configurations, real-world incident exploration runbooks, and automated verification scripts across Cloud Service Providers (CSPs), Programming Languages, DevOps, Security, Data Science, and Continual Learning.


Skills Taxonomy & Catalog Overview

skills/
├── csp/                        # Cloud Service Providers (The Remix Standard)
│   ├── aws/                    # AWS Well-Architected, Core & Specialized Skills, MCP Plugins
│   ├── azure/                  # Microsoft Azure (193 curated service skills)
│   └── gcp/                    # Google Cloud Platform & GCP Well-Architected Suite
├── programming/                # Language-specific idiomatic patterns & testing
│   ├── dart/                   # Dart 3 & Flutter (FFI native assets, CLI apps, test suites)
│   ├── python/                 # Python 3.11+ (FastAPI REST patterns, pytest async suites)
│   ├── javascript/             # TypeScript & Node.js (Strict discriminated unions, branded types)
│   ├── go/                     # Golang (Structured concurrency, errgroup worker pools)
│   └── java/                   # Java 21+ & Spring Boot (Clean architecture, HikariCP resilience)
├── devops/                     # Infrastructure, Delivery & SRE
│   ├── iac/                    # Terraform / OpenTofu modules & state destruction protection
│   ├── kubernetes/             # Pod triage (CoreDNS throttling outage) & Helm chart scaffold
│   ├── docker/                 # Container hardening & multi-stage minimal runtime builds
│   ├── ci-cd/                  # GitHub Actions OIDC federation & ArgoCD GitOps promotion
│   └── observability/          # OpenTelemetry tracing & PromQL Golden Signals alerting
├── security/                   # Enterprise Governance & Hardening
│   ├── compliance/             # CIS Foundation benchmarks & SOC 2 evidence collection
│   ├── iam-least-privilege/    # IAM policy synthesizer & Workload Identity federation
│   └── secret-management/      # Git secret leak emergency runbook & KMS envelope encryption
├── data-science/               # Data & Machine Learning Operations
│   ├── mlops/                  # Low-latency model serving with ONNX Runtime & Triton
│   └── data-analysis/          # Analytical SQL & cloud data warehouse optimization
└── continual-learning/         # Self-Knowledge Enhancement Engine
    ├── knowledge-enhancement-loop/       # Live transcript mining & skill auto-patching
    └── incident-postmortem-to-guardrail/ # Converts SRE findings to DevSecOps pre-merge rules

Anatomy of an Enterprise Skill

Every skill in Open Cloud Agents is a self-contained package adhering to a 3-tier architecture:

<skill-name>/
├── SKILL.md                 # 1. Autonomous instructions, real-life incidents, guardrails
├── references/              # 2. Architecture specs, decision trees, cheat sheets
└── scripts/                 # 3. Executable verification, linting, and recovery tools
Layer File / Directory Purpose
Instructions SKILL.md YAML frontmatter (name, description) + real-life incident postmortems, live exploration commands, and non-destructive guardrails.
References references/ Deep documentation: dangerous attribute matrices, OIDC trust specs, PromQL cheat sheets, and RFC envelopes.
Automation scripts/ Executable Python and Bash scripts (chmod +x) with strict exit codes for automated CI/CD verification and incident remediation.

Core Skills Index

1. DevOps & Infrastructure (devops/)

Skill Highlights References Automation Scripts
iac-state-protection Prevents forces replacement on stateful cloud resources (RDS, Storage, Cosmos DB). dangerous-attributes-matrix.md verify_state_safety.py
terraform-opentofu-modules Enterprise reusable HCL module layouts and variable validation. hcl-style-guide.md lint_modules.sh
k8s-pod-troubleshooting Diagnoses CrashLoopBackOff, OOMKilled, and CoreDNS throttling outages. k8s-pod-diagnostic-decision-tree.md pod_diagnose.sh
helm-chart-scaffold Scaffolds hardened charts with securityContext, schemas, and linting. chart-best-practices.md validate_chart.sh
dockerfile-hardening Multi-stage builds, non-root users, distroless runtimes, and Trivy CVE scans. container-security-cheat-sheet.md audit_dockerfile.py
github-actions-hardening OIDC cloud identity federation, least-privilege tokens, and SHA pinning. oidc-trust-policy-specs.md audit_workflows.py
gitops-argocd-promotion Progressive multi-environment promotion (dev ➔ uat ➔ prod) and sync waves. argocd-sync-waves.md promote_environment.sh
promql-golden-signals Queries for Latency, Traffic, Errors, Saturation, and multi-window burn rates. golden-signals-reference.md evaluate_slo_burn.py
opentelemetry-instrumentation W3C distributed trace propagation and OTLP exporter setup. semantic-conventions-cheatsheet.md verify_otel_endpoint.py

2. Security & Governance (security/)

Skill Highlights References Automation Scripts
cis-benchmark-audit Audits cloud environments against CIS Foundation benchmarks. cis-control-mappings.md audit_cis_foundations.sh
soc2-evidence-collector Automates gathering of technical evidence for CC6.1-CC8.1 audit criteria. soc2-type2-evidence-matrix.md collect_soc2_evidence.py
iam-policy-synthesizer Transforms wildcard *:* permissions into scoped ARNs with HTTPS condition keys. iam-condition-keys-cheatsheet.md synthesize_least_privilege.py
workload-identity-federation Eliminates static cloud keys via OIDC and Kubernetes IRSA tokens. federation-architecture-specs.md validate_oidc_token.sh
git-secret-leak-remediation Emergency response runbook: revoke ➔ rotate ➔ scrub with git-filter-repo. secret-revocation-endpoints.md emergency_secret_scrub.sh
kms-envelope-encryption High-performance client-side payload encryption with KMS CMKs and DEKs. envelope-encryption-spec.md envelope_encrypt.py

3. Programming Languages (programming/)

Language Key Skills References Automation Scripts
Dart / Flutter 11 production skills (unit testing, FFI native assets, CLI apps, pattern matching) Integrated in dart/ Built-in test runners & hot reload
Python fastapi-rest-patterns & pytest-test-suite fastapi-production-spec.md benchmark_api.py & run_coverage_gate.sh
JavaScript / TS typescript-strict-patterns ts-strict-cheatsheet.md typecheck_project.sh
Go go-concurrency-patterns go-concurrency-cheatsheet.md race_detector_runner.sh
Java spring-boot-architecture hikaricp-tuning-cheatsheet.md analyze_thread_dump.py

4. Continual Learning & Data Science

Domain Skill References Automation Scripts
Continual Learning knowledge-enhancement-loop knowledge-patch-schema.md transcript_knowledge_miner.py
Continual Learning incident-postmortem-to-guardrail pir-to-policy-mapping.md generate_rego_guardrail.py
FinOps & Cost Optimization cloud-waste-reaper waste-matrix.md reap_cloud_waste.sh
Data Science / MLOps model-serving-fastapi-triton onnx-triton-deployment-spec.md benchmark_inference.py
Data Science / Analytics sql-warehouse-optimization bigquery-snowflake-tuning-guide.md profile_sql_query.py

Cloud Service Providers (csp/)

The CSP skills represent our curated Remix Standard across: * skills/csp/aws/: Amazon Bedrock, IAM, CDK, CloudFormation, Aurora, and DevSecOps MCP plugins. * skills/csp/azure/: 193 production-ready skills for Azure App Service, AKS, Cosmos DB, Entra ID, and VNets. * skills/csp/gcp/: 34 production-ready skills for GKE, Cloud Run, BigQuery, AlloyDB, and the Google Cloud Well-Architected Framework.


Authoring New Skills

All community contributions must follow the 3-tier structure (SKILL.md, references/, scripts/).

Frontmatter Template

---
name: my-skill-name
description: A concise 1-2 sentence description explaining the purpose of the skill and when agents should trigger it.
---

# Title

## Purpose & Scope
When and why an autonomous agent should activate this skill.

## Real-Life Incident / Live Exploration Protocol
Battle-tested production scenarios and exact terminal exploration commands.

## Step-by-Step Procedural Workflow
Checklist and sequential instructions for the agent.

## Non-Destructive Guardrails & Safety
Explicit boundaries preventing unauthorized data destruction or security drift.

## Continuous Self-Knowledge Enhancement Loop
How the agent captures novel edge cases and updates repository knowledge.