After Work
Official@afterwork · Moldova
Standardized engineering governance and implementation frameworks for Medusa commerce ecosystems and enterprise codebase maintenance.
Agent Skills by After Work
Showing 27 vetted skills indexed across 1 GitHub repositories.
aif-fix
Automate bug diagnosis and patch generation for codebases.
aif-rules
Append project-specific AI rules to .ai-factory/RULES.md for consistent policy application.
building-with-medusa
Apply standardized backend architecture patterns to Medusa modules, workflows, API routes, and module links.
aif-verify
Verify planned work completion and build, test, and quality gate compliance.
aif-ci
Generate CI/CD pipelines for GitHub Actions or GitLab CI from project context.
aif-plan
Generate structured feature implementation plans with tasks, branches, and milestones.
aif-build-automation
Identify SKILL.md files and generate metadata YAML for each Skill.
aif-docs
Generate and maintain project documentation with topic-based pages and See Also links.
aif-security-checklist
Apply OWASP-based security audit checks to code, configuration, and dependencies.
storefront-best-practices
Document storefront best practices for UI/UX and Medusa backend integration.
aif-commit
Generate conventional commit messages from staged git changes.
aif-evolve
Analyze patches and codebase patterns to update aif-* skill-context rules.
aif-architecture
Analyze project tech stack and context to generate architecture guidelines.
aif-skill-generator
Generate Agent Skills packages with SKILL.md, references, scripts, and templates.
building-storefronts
Plan and develop Medusa storefront features using the Medusa SDK and React Query.
aif-roadmap
Generate and maintain a structured ROADMAP.md with milestones and completion dates.
aif
Automates Tailwind project builds and deployments via a single command.
learning-medusa
Guide developers through Medusa modules, workflows, API routes, and admin UI with checkpoints.
aif-best-practices
Enforce universal code quality guidelines for naming, structure, error handling, testing, and code reviews.
aif-review
Review staged changes and PR diffs for bugs, security, performance, and maintainability.
aif-loop
Run multi-iteration reflex loops with PLAN, PRODUCE, EVALUATE, CRITIQUE, and REFINE phases.
aif-explore
Identify problems, hypotheses, and design questions while reading project context files.
stripe-best-practices
Guide Stripe integration decisions for API selection, Connect setup, and migration paths.
aif-grounded
Provide final answers only when evidence supports 100% confidence.
Frequently Asked Questions About After Work
FAQPage SchemaWhat specific engineering tasks are enabled by these capabilities?▼
These capabilities enable systematic bug diagnosis, patch generation, and structured feature implementation. They facilitate the generation of project documentation, CI/CD pipeline configurations, and multi-stage Dockerfiles while enforcing OWASP-based security audits and conventional commit standards across complex codebases.
Which technical personas benefit most from these implementations?▼
Full-stack engineers, backend developers, and DevOps practitioners working within Medusa commerce ecosystems benefit most. These resources are designed for technical leads requiring consistent policy application, architecture guideline enforcement, and standardized quality gates across distributed development teams.
What are the primary prerequisites for integrating these project standards?▼
Integration requires an existing codebase, typically utilizing Medusa modules or Tailwind CSS frameworks. Users must maintain project context files, such as SKILL.md and .ai-factory/RULES.md, to allow the system to analyze tech stacks, generate metadata, and enforce quality guidelines effectively.