AINative Studio
Official@ainative-studio
Offers standardized repository governance, metadata management, and deployment orchestration for enterprise software development lifecycles.
Agent Skills by AINative Studio
Showing 25 vetted skills indexed across 2 GitHub repositories.
AINative-Studiodatabase-schema-sync
Sync database schemas across environments with idempotent Python scripts.
AINative-Studiostrapi-blog-image-unique
Identify and enforce unique featured images across Strapi blog posts.
AINative-Studiofile-placement
Validate Markdown and shell script placement against repository directory conventions.
AINative-Studioweekly-report
Generate weekly progress reports from commits, issues, and PRs.
AINative-Studioci-cd-compliance
Enforce CI/CD gate sequencing, merge policies, and deployment workflows.
AINative-Studiomandatory-tdd
Enforce Test-Driven Development with mandatory BDD tests and 80% coverage before PR closure.
AINative-Studiogit-workflow
Standardize Git commits, PR descriptions, and branch names.
AINative-Studiodatabase-query-best-practices
Prevent PostgreSQL connection pool exhaustion in local Railway queries.
AINative-Studiostory-workflow
Automates backlog workflow planning and Fibonacci story estimation for agile teams.
AINative-Studioemail-campaign-management
Automate email campaign setup, sending via Resend, and conversion tracking.
AINative-Studiodelivery-checklist
Automate pre-delivery planning with a structured delivery loop for stories, PRs, and release tasks.
AINative-Studiostrapi-blog-slug-mandatory
Enforce slug inclusion when updating Strapi blog posts via MCP.
AINative-Studiocode-quality
Enforce coding standards, security guidelines, and accessibility requirements across software projects.
AINative-Studiorailway-deployment
Automate Railway deployments with nixpacks configuration and environment management.
AINative-Studiozerodb-workflows
Build scalable AI memory and semantic search workflows with ZeroDB.
AINative-Studioapi-design
Design FastAPI REST APIs with Pydantic schemas and OpenAPI documentation.
AINative-Studiotesting-patterns
Define testing patterns for FastAPI and React with pytest, vitest, and Playwright.
AINative-Studiomcp-development
Implement MCP servers with standardized patterns in the AINative ecosystem.
AINative-Studiolarge-skill
Benchmark parsing and frontmatter extraction of large SKILL.md files.
AINative-Studiounicode-skill
Handle and render Unicode text across applications and data pipelines.
AINative-Studiocomprehensive-skill
Generate complete metadata for Skill Units by validating SKILL.md frontmatter and aggregating optional resources.
AINative-Studioskill-with-resources
Parse SKILL.md frontmatter and index scripts, references, and assets directories.
AINative-Studioempty-body-skill
Create a new skill by editing the SKILL.md body and adding optional resources.
AINative-Studiominimal-skill
Create a minimal Skill scaffold with YAML frontmatter for name and description.
Frequently Asked Questions About AINative Studio
FAQPage SchemaWhat specific tasks can I perform using these repository management skills?βΌ
You can enforce standardized Git commit messaging, validate Markdown frontmatter, ensure Strapi blog slug inclusion, and automate pre-delivery checklists. These capabilities allow teams to maintain consistent repository structures and enforce strict coding standards across all project contributions.
Which personas benefit most from these development standards?βΌ
These skills are designed for DevOps engineers, technical leads, and software architects responsible for maintaining code quality and deployment consistency. They provide the necessary guardrails for teams to manage complex project lifecycles, from initial scaffolding to production deployment.
What are the prerequisites for implementing these deployment and testing patterns?βΌ
Implementation requires a standard environment supporting Nixpacks for Railway deployments, PostgreSQL for database operations, and a Node.js or Python runtime for executing validation logic. Users must also maintain a structured repository following the defined directory conventions for metadata and resource indexing.