Discover rules to enhance your AI agent's capabilities.
Top Performing in Documentation Generation
Data-driven rankings. Real results from real agents.
| Name | Contains | Score |
|---|---|---|
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 | |
Comprehensive documentation and best practices for building Terraform providers with terraform-plugin-framework (v1.17.0). Covers providers, resources, schemas, types, validators, testing, and common pitfalls. | DocsRules | |
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 | |
Production-grade dlib face_recognition toolkit: piecewise confidence formula, enrollment quality diagnostics, and producer-side persistence for flicker suppression. | SkillsRules | |
Database architecture skills, docs, and rules for high-demand multi-tenant commerce platforms (PostgreSQL source of truth, Neo4j as derived GraphRAG projection, transactional outbox, RLS-based tenant isolation). Includes live schema introspection workflow via explicit Supabase MCP/read-only schema sources. | SkillsDocsRules | |
Standards and workflows for building secure, well-structured Terraform modules, including planning gates, validation steps, and implementation guidance. | SkillsDocsRules | |
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 | |
Spec-driven workflow covering requirement gathering, spec authoring, implementation review, and verification — with skills, rules, and evaluation scenarios. | SkillsDocsRules | |
v0.1.43 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 | |
v0.1.0 Context for developing and debugging Hubitat Elevation apps, drivers, and hub environment — sandbox constraints, lifecycle idioms, capability contracts, plus grounded deploy/log-tail/lint mechanisms. | SkillsRules | |
v0.1.3 Teaches coding agents how to build TUIs with TamboUI correctly: API-level selection, render-thread discipline, display-width safety, CSS-aware element authoring, and JFR conventions. | SkillsRules | |
Demo plugin two for scope/agent install testing | SkillsRules | |
Demo plugin one for scope/agent install testing | SkillsRules | |
v2.10.14 Closing the intent-to-code chasm - specification-driven development with BDD verification chain | 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 | |
v0.1.1 Ground truth for Shelly Duo GU10 RGBW smart bulb (Gen1): LAN HTTP REST contract, mDNS discovery (with the non-loopback-IPv4-bind gotcha), color/temp endpoints, off semantics, latency expectations. Language-agnostic facts; Kotlin/Ktor reference example. | SkillsRules | |
Quickstart example: Express.js API coding standards (rules) | Rules | — |
v0.5.0 Build terminal chat UIs with TUI4J - Elm Architecture chat client for AI agent demos with Spring Boot integration | SkillsRules | |
Evidence-first pull request review with independent critique, selective challenger review, and human handoff. | 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 |
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