Danil Shutsky
Community@lee-to · Earth
Backend PHP Developer. CutCodeFather (YouTube channel and Laravel community). Creator of MoonShine admin panel
Agent Skills by Danil Shutsky
Showing 80 vetted skills indexed across 3 GitHub repositories.
aif-hello-world
Responds with a greeting to verify extension-provided skills work.
hello-commit
Generates git commit messages with a custom prefix after reviewing staged changes.
aif-fix
Diagnose and fix bugs using a regression-first workflow with logging and self-improvement patches.
aif-rules
Appends project-specific rules and conventions to RULES.md and area rule files.
aif-verify
Verify completed implementations against plans, builds, tests, and project rules.
aif-transfer
Transfer anonymized prevention lessons from another AI Factory project into current skill-context.
aif-ci
Generate and audit CI/CD pipelines for GitHub Actions and GitLab CI.
aif-plan
Creates structured implementation plans in fast, full, or ultra multi-file modes with git branch integration.
aif-build-automation
Generate or enhance Makefile, Taskfile, Justfile, or Magefile build automation for any project stack.
aif-archive
Archives completed plans and trims closed roadmap milestones into dated snapshots.
aif-docs
Generate and maintain project documentation with a landing-page README and topic-split docs directory.
aif-security-checklist
Audits codebases against OWASP Top 10 security checklists and tracks ignored findings.
aif-qa
Generates change summaries, test plans, and test cases from git branch diffs.
aif-commit
Generates Conventional Commits messages by analyzing staged git changes and active plan context.
aif-evolve
Improves AI Factory skills by analyzing patches, project context, and codebase conventions.
aif-architecture
Generates project architecture guidelines by analyzing the tech stack and recommending an architecture pattern.
aif-skill-generator
Generates Agent Skills packages with SKILL.md, references, scripts, and security scanning.
aif-roadmap
Creates and maintains a project roadmap of high-level milestones in a Markdown artifact.
aif
Analyzes project tech stacks and configures AI agent context, skills, and MCP servers.
aif-rules-check
Validates changed files against project rules and reports a pass, warn, or fail verdict.
aif-best-practices
Provides code quality guidelines covering naming, structure, error handling, testing, and code review.
aif-review
Reviews staged changes, pull requests, or commit ranges for bugs, security, and performance issues.
aif-loop
Runs iterative generate-evaluate-critique-refine loops with quality gates until artifacts pass defined criteria.
aif-distillation
Distills books, documents, folders, and URLs into reusable Agent Skill packages.