ai-factory
by lee-to
What ai-factory does, in the publisher's words
> Stop configuring. Start building.
You want to build with AI, but setting up the right context, prompts, and workflows takes time. AI Factory handles all of that so you can focus on what matters, shipping quality code.
One command. Full AI-powered development environment.
- Zero configuration: installs relevant skills, configures integrations
- Best practices built-in: logging, commits, code review, all following industry standards
- Spec-driven development: AI follows plans, not random exploration. Predictable, resumable, reviewable
- Community skills: leverage skills.sh ecosystem or generate custom skills
- Stack-agnostic: works with any language, framework, or platform
- Multi-agent support: Claude Code, Cursor, Windsurf, Roo Code, Kilo Code, Antigravity, OpenCode, Warp, Zencoder, Codex CLI, Codex app, GitHub Copilot, Gemini CLI, Junie, Qwen Code, or any agent
From the project README, punctuation lightly normalized · Open the README on GitHub
- Skills
- 30
- MCP servers
- 0
- Stars
- 1,087
- License
- n/a
- Repo created
- 2026-02-06
- Last pushed
- 2026-09-13
- Publisher type
- User
- Version
- n/a
Links
Skills · 30
- aif-architecture
- Generate architecture guidelines for the project. Analyzes tech stack from DESCRIPTION.md, recommends an architecture pattern, and creates.ai-factory/ARCHITECTURE.md. Use when setting up project architecture, asking "which architecture", or after /aif setup.
- aif-archive
- Archive completed plans and roadmap milestones. Moves finished plans to the archive directory and optionally trims closed milestones from ROADMAP.md. Use when user says \"archive plans\", \"clean up plans\", \"archive completed\", or \"trim roadmap\".
- aif-best-practices
- Code quality guidelines and best practices for writing clean, maintainable code. Covers naming, structure, error handling, testing, and code review standards. Use when writing code, reviewing, refactoring, or asking "how should I name this", "best practice for", "clean code".
- aif-build-automation
- Analyze project and generate or enhance build automation file (Makefile, Taskfile.yml, Justfile, Magefile.go). If a build file already exists, improves it by adding missing targets and best practices. Use when user says "generate makefile", "create taskfile", "add justfile", "setup mage", or "build…
- aif-ci
- Generate CI/CD pipeline (GitHub Actions / GitLab CI) with linting, static analysis, tests, security. Use when user says "ci", "setup ci", "github actions", "gitlab ci", "pipeline".
- aif-commit
- Create conventional commit messages by analyzing staged changes. Generates semantic commit messages following the Conventional Commits specification. Use when user says "commit", "save changes", or "create commit".
- aif-distillation
- Distill books, documents, folders, or URLs into compact, practical Agent Skills. Use when source material should become either one reusable skill package or a split set of focused skills, each with a concise SKILL.md plus detailed references and examples.
- aif-dockerize
- Analyze project and generate Docker configuration: Dockerfile (multi-stage dev/prod), compose.yml, compose.override.yml (dev), compose.production.yml (hardened), and.dockerignore. Includes production security audit. Use when user says "dockerize", "add docker", "docker compose", "containerize", or…
- aif-docs
- Generate and maintain project documentation. Creates a lean README as a landing page with detailed docs pages split by topic in the configured docs directory. Use when user says "create docs", "write documentation", "update docs", "generate readme", or "document project".
- aif-evolve
- Self-improve AI Factory skills based on project context, accumulated patches, and codebase patterns. Analyzes what went wrong, what works, and enhances skills to prevent future issues. Use when you want to make AI smarter for your project.
- aif-explore
- Enter explore mode to investigate ideas, systems, problems, and requirements before planning. Use explicit ultra mode when the user wants a durable adaptive research bundle with an index and only the justified C4, ADR, or dependency artifacts.
- aif-fix
- Fix a bug or problem. Supports fix-now or plan-first; no args executes FIX_PLAN.md. When a regression check is needed, reproduce first, then implement and rerun it. Adds logging and suggests extra coverage.
- aif-grounded
- aif-implement
- aif-improve
- aif-loop
- aif-plan
- aif-qa-check
- aif-qa
- aif-reference
- aif-review
- aif-roadmap
- aif-rules-check
- aif-rules
- aif-security-checklist
- aif-skill-generator
- aif-transfer
- aif-verify
- aif-warmup
- aif
Descriptions come from the frontmatter of each SKILL.md, punctuation lightly normalized.
Category
Other. Assigned by this directory. Agent Plugins 1.0.0 has no category field, so no manifest declares one.
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[](https://agentpluginsdirectory.com/plugins/ai-factory)✓ Verified . We fetched the manifest from GitHub and checked it against the official Agent Plugins 1.0.0 schema at agent-plugins.org.