Mikhail Alabugin
Community@1t1sCooL · Moscow
Frontend-разработчик: React, Next.js, TypeScript. Аудит и ускорение сайтов → https://mmalabugin.ru
Agent Skills by Mikhail Alabugin
Showing 29 vetted skills indexed across 1 GitHub repositories.
1t1sCooLaif-fix
Diagnose and fix codebase bugs with plan-first or immediate-fix workflows, logging, and regression tests.
1t1sCooLaif-rules
Appends project conventions to RULES.md and registers area-specific rule files in config.yaml.
1t1sCooLaif-verify
Verify completed implementations against plans with build, test, and lint checks.
1t1sCooLaif-ci
Generate and audit CI/CD pipelines for GitHub Actions and GitLab CI.
1t1sCooLaif-plan
Creates implementation plans with tasks, git branches, and worktrees for feature development.
1t1sCooLaif-build-automation
Generate or enhance Makefile, Taskfile, Justfile, or Magefile build automation for detected project stacks.
1t1sCooLaif-docs
Generate and maintain project documentation with a lean README and topic-split docs directory.
1t1sCooLaif-security-checklist
Audit codebases against OWASP Top 10 security checks and track ignored findings.
1t1sCooLaif-qa
Generates change summaries, test plans, and test cases from git branch diffs.
1t1sCooLaif-commit
Generates Conventional Commits messages by analyzing staged git changes.
1t1sCooLaif-evolve
Analyzes patches and codebase patterns to improve AI Factory skills with project-specific rules.
1t1sCooLaif-architecture
Generates project architecture guidelines and ARCHITECTURE.md based on tech stack analysis.
1t1sCooLaif-skill-generator
Generates Agent Skills packages with SKILL.md, references, scripts, and security scanning.
1t1sCooLaif-roadmap
Creates and maintains a project roadmap of high-level milestones in a Markdown artifact.
1t1sCooLaif
Configures AI agent context by analyzing tech stacks, installing skills, and generating project documentation.
1t1sCooLaif-best-practices
Provides code quality guidelines covering naming, structure, error handling, testing, and review.
1t1sCooLaif-review
Reviews staged changes, pull requests, or commit ranges for bugs, security, and performance issues.
1t1sCooLaif-loop
Runs iterative generate-evaluate-critique-refine loops with quality gates and persistent state.
1t1sCooLaif-explore
Explores ideas, investigates codebases, and clarifies requirements through guided thinking sessions.
1t1sCooLaif-reference
Creates structured knowledge references from URLs and local files for AI agents.
1t1sCooLaif-grounded
Enforces evidence-based answers with a confidence gate that blocks unverified claims.
1t1sCooLaif-improve
Refines existing implementation plans by re-analyzing the codebase for gaps and dependency errors.
1t1sCooLaif-implement
Executes implementation tasks from plan files with progress tracking and session resumption.
1t1sCooLaif-dockerize
Generate multi-stage Dockerfiles, Compose configurations, and production security audits for projects.
Frequently Asked Questions About Mikhail Alabugin
FAQPage SchemaWhat tasks can I accomplish with Mikhail Alabugin's AI Factory skills?▼
The 29 skills cover the delivery lifecycle: planning features (aif-plan), executing tasks (aif-implement), fixing bugs with test coverage (aif-fix), code review (aif-review), QA test plans (aif-qa), conventional commits, CI/CD generation, Docker setup, OWASP security audits, documentation, plus NestJS, Prisma, and Telegram bot guidance.
Who should use these skills?▼
Frontend and full-stack engineers working with React, Next.js, TypeScript, NestJS, and Prisma benefit most. DevOps-minded developers gain CI/CD pipeline and Docker generation, while teams wanting structured AI-assisted planning, verification, and grounded answers can adopt the aif-plan, aif-verify, and aif-grounded skills.
How do I install and run these skills in practice?▼
Start with the aif skill, which analyzes your tech stack, installs relevant skills from skills.sh, generates custom skills, and configures MCP servers. Individual skills are then invoked as slash commands such as /aif-plan, /aif-implement, /aif-ci, or /aif-dockerize with optional arguments.
Are these skills open source and what do they cost?▼
Several skills carry explicit MIT licenses, including telegram-bot, prisma-client-api, prisma-database-setup, and nestjs-best-practices. The AI Factory skills are published publicly in the author's GitHub registry at no stated cost; no paid tier or commercial license is mentioned in the manifest.
What prerequisites and dependencies do the skills require?▼
Skills run inside an agent environment with file and shell access: git, npm/npx/yarn/pnpm/bun, Docker for containerization, and GitHub CLI for PR reviews. The telegram-bot skill expects a telegram-mcp server, and aif-implement uses handoff MCP task tools for cross-session progress.