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flext-sh

Official

@flext-sh

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46Public Repos
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52Published Skills

Standardized repository governance and architectural enforcement framework for high-integrity software development and monorepo maintenance.

Skills Distribution
DomainDeveloper To...Repository Governa.. (40%)Static Analysis & .. (35%)Infrastructure & B.. (25%)

Agent Skills by flext-sh

Showing 52 vetted skills indexed across 1 GitHub repositories.

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lib-pydantic-v2

Enforce Pydantic v2 API standards for model definition, validation, and serialization.

Official
Advanced
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scripts-dependencies

Analyze, consolidate, and synchronize project dependencies with Python scripts.

Official
Intermediate
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skill-format-universal

Validate SKILL.md files against Anthropic and FLEXT canonical format standards.

Official
Basic
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flext-refactoring-workflow

Guide bottom-up refactoring of the FLEXT monorepo with Make target validation.

Official
Advanced
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flext-patterns

Enforce flext implementation patterns for result flow, DI, and logging.

Official
Intermediate
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lib-orjson

Serialize JSON with sorted keys using orjson and fallback to json.dumps.

Official
Intermediate
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workspace-maintenance

Automate workspace maintenance with hygiene checks, Dependabot standardization, and Poetry validation.

Official
Intermediate
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scripts-maintenance

Provides automated scripts for health checks, git cleanup, and workspace status reporting.

Official
Intermediate
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flext-type-system

Enforce canonical FLEXT type-system contracts for aliases, generics, and settings.

Official
Intermediate
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pydantic-v2-patterns

Detail advanced Pydantic v2 patterns for validators, serializers, and discriminated unions.

Official
Advanced
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lib-returns

Implement FlextResult on dry-python/returns for railway-oriented error handling.

Official
Advanced
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flext-agent-integration

Configure AI agents and tools for the FLEXT ecosystem.

Official
Intermediate
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flext-strict-typing

Enforce strict typing rules with Mapping-first contracts and Pydantic v2 standards.

Official
Advanced
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backend-data-patterns

Enforce SQLAlchemy model design and Alembic migration patterns.

Official
Intermediate
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lib-structlog

Enforce structured logging with FlextLogger and FlextRuntime bridges.

Official
Intermediate
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rules-docs

Validate markdown documentation for broken links, placeholders, and path consistency.

Official
Intermediate
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flext-import-rules

Enforce strict Python import conventions across FLEXT project files.

Official
Intermediate
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readme-standardization

Standardize README.md files by enforcing preamble structure, mandatory sections, and link formats.

Official
Intermediate
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rules-github

Validate GitHub automation configuration files in the .github/ directory.

Official
Intermediate
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python-modern-type-syntax

Enforce modern Python type annotation syntax for Python 3.10 and above.

Official
Intermediate
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rules-typings

Validate Python type stubs and shims in the typings/ directory.

Official
Intermediate
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rules-pkg

Enforce Python package metadata and structure rules within the pkg/ directory.

Official
Intermediate
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testing-patterns

Standardize Python testing practices with pytest within the FLEXT framework.

Official
Intermediate
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scripts-infra

Manage shared bash and Python script infrastructure with validation rules.

Official
Advanced

Frequently Asked Questions About flext-sh

FAQPage Schema
What specific tasks are enabled by these standards?

These standards enable automated repository hygiene, strict architectural enforcement via AST analysis, standardized documentation governance, and consistent dependency management. They provide a unified framework for linting, testing, and type-checking across complex project structures.

Which personas benefit from these repository standards?

Software architects, lead engineers, and DevOps practitioners benefit from these standards. They are designed for teams managing large monorepos who require consistent coding patterns, rigorous type safety, and automated quality gates to maintain long-term codebase health.

What are the prerequisites for implementing these standards?

Implementation requires a project environment utilizing Poetry for dependency management, Makefiles for task execution, and pre-commit hooks for validation. The framework assumes a modern environment supporting Python 3.10+ and standard CI/CD integration for repository health checks.