ai-rulez
Manage AI assistant governance rules across Claude, Cursor, Windsurf, Copilot, Gemini, and other tools using ai-rulez. Use when configuring rules, context, skills, domains, profiles, includes, plugins, or generating tool-specific outputs.
DeepseekModel
Curated skill
Quality Excellent · 78
v1.0.0
Get
https://deepseekmodel.com/api/download.php?id=goldziher-ai-rulez-skills-ai-rulez-skill-md&format=skill
Download .skill
Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
name ai-rulez description Manage AI assistant governance rules across Claude, Cursor, Windsurf, Copilot, Gemini, and other tools using ai-rulez. Use when configuring rules, context, skills, domains, profiles, includes, plugins, or generating tool-specific outputs. license MIT metadata {"author":"Goldziher","version":"4.3.2","repository":"https://github.com/Goldziher/ai-rulez"} AI-Rulez Governance AI-Rulez centralizes AI assistant governance in a config directory (default .ai-rulez/ ) and generates tool-specific outputs for Claude, Cursor, Windsurf, Copilot, Gemini, Codex, and other presets. Use this skill when: Setting up or modifying .ai-rulez/ configuration Writing rules, context, skills, or agents for AI assistants Configuring domains, profiles, or includes Using custom config directory names via --config-dir Generating outputs for specific AI tools Auditing planned writes/deletes with --dry-run Installing or managing external skills Installation # Go (primary CLI) go install github.com/Goldziher/ai-rulez@latest # npm npx ai-rulez@latest # Python uvx ai-rulez Quick Start # Initialize a new project ai-rulez init # Add rules and context ai-rulez add rule my-rule --priority high ai-rulez add context my-context # Generate outputs for all configured presets ai-rulez generate # Validate configuration ai-rulez validate Configuration Structure .ai-rulez/ config.toml # Main configuration rules/ # Governance rules (.md files with frontmatter) context/ # Contextual information (.md files) skills/ # Specialized capabilities (name/SKILL.md plus resources) agents/ # Agent definitions (.md files) commands/ # Custom commands (.md files) domains/ # Domain-scoped content backend/ rules/ context/ skills/ config.toml version = "4.0" name = "my-project" description = "Project description" presets = [ "claude" , "cursor" , "gemini" ] default = "backend" builtins = [ "go" , "security" , "testing" ] [profiles] backend = [ "backend" , "shared" ] frontend = [ "frontend" , "shared" ] [[includes]] name = "shared-rules" source = "https://github.com/org/shared-rules" [[installed_skills]] name = "kreuzberg" source = "https://github.com/kreuzberg-dev/kreuzberg" [[mcp_servers]] name = "ai-rulez" command = "npx" args = [ "-y" , "ai-rulez@latest" , "mcp" ] [[scopes]] path = "packages/web" profile = "frontend" presets = [ "codex" , "claude" ] Content Frontmatter Rules, context, skills, and agents support YAML frontmatter: --- priority: high # critical, high, medium, low targets: # Limit to specific presets - CLAUDE.md - .cursor/rules/* description: Brief description --- Agent-only fields Agent files under .ai-rulez/agents/ accept additional frontmatter that maps to Claude Code's subagent spec. Each is optional and only emitted into .claude/agents/*.md (other presets skip fields they do not support): --- name: security-reviewer description: Reviews code for security regressions model: opus # haiku | sonnet | opus | inherit effort: high # low | medium | high | xhigh | max | inherit permission_mode: default tools: # Restrict tool access - Read - Grep - Glob --- effort controls reasoning depth. Set a project-wide default and per-preset overrides in config.toml : [defaults] effort = "medium" [defaults.effort_by_preset] codex = "high" # Codex applies it globally and per agent claude = "xhigh" # Claude applies it as `effort` per agent amp = "max" # Amp writes amp.anthropic.effort to .amp/settings.json Resolution order (per preset, per agent): per-agent effort → defaults.effort_by_preset[<preset>] → defaults.effort → omit. Per-preset support: Claude : per-agent in .claude/agents/*.md (full vocabulary, including max and inherit ) Codex : global in .codex/config.toml and per-agent in .codex/agents/*.toml ( max → high ; inherit dropped) Amp : global in .amp/settings.json ( xhigh → high ) Windsurf : per-agent in .windsurf/agents/*.md frontmatter ( max → high ) Opencode : per-agent reasoningEffort in .opencode/agents/*.md Cursor, Copilot, Gemini, Junie, Antigravity, Cline, Continue.dev: silently skipped (those tools expose effort via UI toggles or user-managed config files we don't generate). Domains and Profiles Domains group content for different teams or concerns. Profiles select which domains are active. ai-rulez domain add backend ai-rulez add rule api-standards --domain backend ai-rulez profile add backend-team backend,shared ai-rulez generate --profile backend-team Includes Share rules across projects using git repositories or local paths: ai-rulez include add shared-rules https://github.com/org/shared-rules ai-rulez include add local-rules ./path/to/local --merge-strategy include-override Installed Skills Install named skills from external repositories: ai-rulez skill install kreuzberg -- source https://github.com/kreuzberg-dev/kreuzberg ai-rulez skill install ai-rulez -- source https://github.com/Goldziher/ai-rulez ai-rulez skill list ai-rulez skill remove kreuzberg Skills are fetched dynamically at generation time and included in outputs. Skill references/ , scripts/ , and assets/ directories are preserved as separate generated resource files when the target preset supports skill directories. Built-in Presets Available presets: claude , cursor , gemini , copilot , continue-dev , windsurf , cline , codex , amp , junie , opencode , hermes , antigravity . MCP Integration MCP servers are configured inline in config.toml with [[mcp_servers]] . ai-rulez exposes an MCP server for AI assistants to read, create, update, validate, dry-run, and generate configuration: ai-rulez mcp Configure in your AI tool's MCP settings to enable CRUD operations from within the assistant. MCP server env values can use ${VAR} placeholders. ai-rulez generate resolves them from --env , process env, and dotenv files, then refuses to write secret-bearing generated MCP configs unless the target paths are gitignored. Plugins and Marketplaces V4 introduces support for plugins and marketplace integrations to extend ai-rulez functionality with custom generators, presets, and validators.
Keywords that activate this skill. Click one to copy it.
This skill does not provide trigger words.
The downloaded .skill package contains the following fields.
| Field | Description |
|---|---|
| format | Format tag (skill/v1) |
| skill_id | Unique skill ID |
| name | Skill name |
| version | Version |
| description | Description |
| category | Categories (array) |
| trigger_words | Trigger words |
| tags | Tags |
| source | Source |
| source_url | Source URL (this page) |
| exported_at | Exported at (set per download) |
| system_prompt | System prompt body |
| model_config | Model config: provider / model / temperature / max_tokens / top_p |
| examples | Examples |
| install_guide | Import guide for Coze / Dify / Claude / custom frameworks |
The same skill can be exported in different platform formats.