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*codeplain

Official

@codeplain-ai

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27Public Repos
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30Published Skills

codeplain is an ai-powered code generation platform that turns specifications written in ***plain language into production-ready software.

Skills Distribution
DomainDeveloper To...Specification Engi.. (40%)Quality Assurance .. (35%)Environment Config.. (25%)

Agent Skills by *codeplain

Showing 30 vetted skills indexed across 1 GitHub repositories.

Codeplain-aiCodeplain-ai

add-acceptance-test

Add acceptance tests to plain spec files with syntax validation.

Official
Intermediate
Codeplain-aiCodeplain-ai

add-resource

Integrate external JSON, YAML, and markdown files into plain specifications.

Official
Basic
Codeplain-aiCodeplain-ai

plain-healthcheck

Validate project configurations, scripts, and module dry-runs for plain-based projects.

Official
Advanced
Codeplain-aiCodeplain-ai

implement-conformance-testing-script

Generate and execute conformance test runners for multiple programming languages.

Official
Advanced
Codeplain-aiCodeplain-ai

implement-unit-testing-script

Generate unit testing scripts for Bash and PowerShell environments.

Official
Advanced
Codeplain-aiCodeplain-ai

run-codeplain

Supervise codeplain render specifications with live logging and error detection.

Official
Advanced
Codeplain-aiCodeplain-ai

init-plain-project

Automate plain project initialization by generating files from user-specified technology and testing options.

Official
Basic
Codeplain-aiCodeplain-ai

welcome-to-plain

Orient new users to the plain spec language and codeplain.

Official
Basic
Codeplain-aiCodeplain-ai

add-implementation-requirement

Identify, draft, and insert implementation requirements into plain spec files.

Official
Intermediate
Codeplain-aiCodeplain-ai

add-functional-spec

Add functional specifications to plain syntax files with conflict resolution.

Official
Advanced
Codeplain-aiCodeplain-ai

add-template

Include parameterized Liquid templates within .plain files.

Official
Intermediate
Codeplain-aiCodeplain-ai

create-import-module

Create a .plain file with YAML frontmatter for shared concepts and requirements.

Official
Intermediate
Codeplain-aiCodeplain-ai

add-concept

Insert new concepts into plain spec files with validation.

Official
Intermediate
Codeplain-aiCodeplain-ai

break-down-func-spec

Split complex functional specifications exceeding 200 lines into smaller parts.

Official
Advanced
Codeplain-aiCodeplain-ai

consolidate-concepts

Consolidate concept definitions from multiple modules into one shared import module.

Official
Advanced
Codeplain-aiCodeplain-ai

analyze-func-specs

Analyze functional specification pairs for conflicts and report conflicting pairs.

Official
Intermediate
Codeplain-aiCodeplain-ai

create-requires-module

Generate a new module with YAML frontmatter and dependency build order.

Official
Intermediate
Codeplain-aiCodeplain-ai

resolve-spec-conflict

Analyze plain spec files to identify conflict root causes and suggest resolution strategies.

Official
Advanced
Codeplain-aiCodeplain-ai

analyze-if-func-spec-too-complex

Analyze functional specifications for complexity and emit ACCEPTABLE or TOO COMPLEX.

Official
Intermediate
Codeplain-aiCodeplain-ai

add-functional-specs

Add multiple functional specifications to a plain spec file in one operation.

Official
Advanced
Codeplain-aiCodeplain-ai

debug-specs

Diagnose application bugs by reviewing and adjusting specification files.

Official
Advanced
Codeplain-aiCodeplain-ai

refactor-module

Split large modules into smaller domain-specific modules with a requires chain.

Official
Advanced
Codeplain-aiCodeplain-ai

check-plain-env

Validate host environment for required toolchains, services, binaries, and hardware.

Official
Advanced
Codeplain-aiCodeplain-ai

add-test-requirement

Add test requirements to the test reqs section of plain spec files.

Official
Intermediate

Frequently Asked Questions About *codeplain

FAQPage Schema
What specific tasks can I perform using codeplain?

You can generate .plain specification files from structured interviews, integrate YAML/Markdown resources, validate project configurations, and resolve conflicts within functional requirements. It also supports generating unit testing scripts and environment setup routines for diverse programming environments.

Which personas benefit most from this platform?

Software architects, lead developers, and quality assurance engineers benefit most. It is designed for technical teams needing to maintain rigorous, version-controlled functional specifications and ensure consistency across large-scale project modules and dependency chains.

What are the prerequisites for running codeplain projects?

Users require a host environment capable of executing project-specific binaries and services. You must validate your environment using the healthcheck functionality to ensure all necessary dependencies, hardware requirements, and language-specific runtimes are correctly configured before initiating project generation.