Discover rules to enhance your AI agent's capabilities.
| Name | Contains | Score |
|---|---|---|
Automatically monitor GitHub Actions workflows after git push operations. Tracks workflow progress and reports pass/fail results. | SkillsRules | |
Configures Prometheus scraping, log drains, and observability for Supabase infrastructure monitoring. | SkillsDocsRules | |
v0.0.1 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 | |
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 | |
v0.1.39 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 | |
v0.27.0 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 | |
v0.8.1 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 | |
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 | |
Standards and workflows for building secure, well-structured Terraform modules, including planning gates, validation steps, and implementation guidance. | SkillsDocsRules | |
v4.0.1 A test plugin with rules, skills, and commands | SkillsRules | |
v1.2.2 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 | |
v2.10.14 Closing the intent-to-code chasm - specification-driven development with BDD verification chain | SkillsRules | |
Spec-driven workflow covering requirement gathering, spec authoring, implementation review, and verification — with skills, rules, and evaluation scenarios. | SkillsDocsRules | |
v0.1.0 Run quality checks on Java code before committing. Validates against best practices, enterprise standards, and common issues. | SkillsRules | |
Kotlin/coroutines patterns for driving rate-limited IoT actuators from real-time producers: debounce controller, target quantization, bottom-up progress-bar rendering. | SkillsRules | |
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 | |
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 | |
v0.8.0 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 | |
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 | |
Orchestrates long-running Edge Function work via waitUntil, pg_cron, and pgmq patterns. | SkillsDocsRules |
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