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Discover rules to enhance your AI agent's capabilities.

Top Performing in DevOps

Data-driven rankings. Real results from real agents.

AllSkillsDocsRules

nicholasjackson/opa-rego-language

Rego is the declarative policy language used by Open Policy Agent (OPA). This tile covers writing and testing Rego policies for Kubernetes admission control, Terraform and infrastructure-as-code plan validation, Docker container authorization, HTTP API authorization, RBAC and role-based access control, data filtering, metadata annotations with opa inspect, and OPA policy testing with opa test.

vitron-ai/themis

Reference tile for Themis, a Node.js and TypeScript unit test framework designed for AI coding agents. Covers unit-test authoring, Jest/Vitest migration, agent-readable failure output with repair hints, and first-class integrations for Claude Code, Cursor, and generic agents.

NameContainsScore

popey/github-action-monitor

v0.5.0

Automatically monitor GitHub Actions workflows after git push operations. Tracks workflow progress and reports pass/fail results.

SkillsRules

74

Configures Prometheus scraping, log drains, and observability for Supabase infrastructure monitoring.

SkillsDocsRules

77

Decomposed ticket workflow from the AI Native DevCon London 2026 context workshop: skills for code and documentation tickets, the mandatory tests-first / clean-review / human-review rules, and the deterministic scripts/ they lean on.

SkillsRules

70

Rego is the declarative policy language used by Open Policy Agent (OPA). This tile covers writing and testing Rego policies for Kubernetes admission control, Terraform and infrastructure-as-code plan validation, Docker container authorization, HTTP API authorization, RBAC and role-based access control, data filtering, metadata annotations with opa inspect, and OPA policy testing with opa test.

DocsRules

99

1.19x

Skills and rules for the NanoClaw host agent (Claude Code on Mac). Tile promotion, container management, staging checks, repo chain safety, and public sync.

SkillsRules

76

Discover and apply best practice skills automatically. Gap analysis scans the codebase, skill-search fills gaps from the registry, skill-classifier separates proactive from reactive skills, quality-standards generates CLAUDE.md guidance, self-review compares code against checklists, and verification-strategy sets up test/lint/typecheck feedback loops.

SkillsRules

68

Teaches AI agents to write idiomatic Kotlin (data classes, val, scope fns, Kotest) AND to make the right stack choices on JVM: Kotlin 2.3 + JDK 21 + Gradle Kotlin DSL, Ktor for HTTP, kotlinx-coroutines, DJL for ML inference, JavaCV for vision, Koog for AI agent orchestration.

SkillsRules

94

1.23x

Hygiene for JavaCV + DJL vision pipelines on Kotlin/JVM: camera discovery and probing, frame-skip policy for heavy inference, downscale-before-detection. Replaces the Python jbaruch/vision-pipeline-foundations tile.

SkillsRules

94

1.86x

Standards and workflows for building secure, well-structured Terraform modules, including planning gates, validation steps, and implementation guidance.

SkillsDocsRules

80

1.77x

A test plugin with rules, skills, and commands

SkillsRules

28

Reference tile for Themis, a Node.js and TypeScript unit test framework designed for AI coding agents. Covers unit-test authoring, Jest/Vitest migration, agent-readable failure output with repair hints, and first-class integrations for Claude Code, Cursor, and generic agents.

SkillsDocsRules

98

2.91x

Closing the intent-to-code chasm - specification-driven development with BDD verification chain

SkillsRules

92

1.53x

Spec-driven workflow covering requirement gathering, spec authoring, implementation review, and verification — with skills, rules, and evaluation scenarios.

SkillsDocsRules

96

1.19x

Run quality checks on Java code before committing. Validates against best practices, enterprise standards, and common issues.

SkillsRules

64

Kotlin/coroutines patterns for driving rate-limited IoT actuators from real-time producers: debounce controller, target quantization, bottom-up progress-bar rendering.

SkillsRules

73

1.63x

Hygiene patterns for any OpenCV + dlib vision pipeline: camera index probing + macOS init quirks, warmup that verifies real frames, frame-skip policy for expensive inference.

SkillsRules

96

1.36x

Build and demo Java AI agent systems with langchain4j-agentic: workflow patterns, supervisor, custom Planner strategies (incl. the flagship typed-verdict / CriticResult-style critic pattern), plus MCP tools, A2A remote agents, build setup, and conference-demo storylines. Pinned to 1.15.0 / 1.15.0-beta25.

SkillsDocsRules

84

4.76x

Decision-Linked Development (DLD) — a workflow for recording, linking, and maintaining development decisions alongside code. Skills for planning, recording, implementing, auditing, and documenting decisions via @decision annotations.

SkillsRules

57

Spec-driven development on OpenSpec, with mechanical spec-as-source enforcement: a custom 'spec-as-source' OpenSpec schema adds file-ownership (targets) and test-verification ([@test]) metadata to every capability spec, three scripts (link check, ownership check, manifest build) keep code and specs from drifting apart, plus requirement-gathering, spec-writer, work-review, and a session-handoff skill with a proactive context-warning hook.

SkillsRules

71

Orchestrates long-running Edge Function work via waitUntil, pg_cron, and pgmq patterns.

SkillsDocsRules

77

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