kynetic-ai
Official@kynetic-ai
Offers structured specification management, pull request validation, and lifecycle governance for engineering teams maintaining complex software project requirements.
Agent Skills by kynetic-ai
Showing 18 vetted skills indexed across 2 GitHub repositories.
kynetic-aispec-review
Verify acceptance criteria have corresponding code and tests during PR reviews.
kynetic-ailocal-review
Enforce pre-PR quality gates covering acceptance criteria and test quality.
kynetic-aikspec
Manage AI project tasks and specifications through a CLI workflow.
kynetic-aireflect
{ok,error}
kynetic-aicodex
Automates GitHub PR reviews and plan/spec feedback via Codex CLI.
kynetic-aicreate-workflow
Formalize recurring patterns into trackable YAML-based workflows with kspec tooling.
kynetic-aispec
Manage specification items with acceptance criteria and traits.
kynetic-aimeta
Manage session context with focus, threads, questions, and observations.
kynetic-aitask-work
Coordinate task lifecycle steps from start to PR completion in kspec.
kynetic-airelease
Automate version bumps, PR creation, tag publishing, and GitHub releases.
kynetic-aitriage
Classify inbox items into bugs, spec gaps, and tasks.
kynetic-aipr
Create GitHub pull requests from in-progress work with branch and commit handling.
kynetic-aiaudit
Audit docs, code, configs, tests, and specs for cruft and health issues.
kynetic-aispec-plan
Translate planning outputs into structured specs and downstream tasks with YAML parsing.
kynetic-aisvelte-5
Convert Svelte 4 stores to Svelte 5 runes with SSR guidance.
kynetic-aie2e
Automate end-to-end UI validation for the kspec web interface with Playwright.
kynetic-aieval-agents
Run scenario-based subagent evaluations to identify gaps in AGENTS.md context.
kynetic-aipr-review
Validate kspec task PRs against acceptance criteria and spec alignment before merging.
Frequently Asked Questions About kynetic-ai
FAQPage SchemaWhat specific engineering tasks does kynetic-ai enable?▼
Kynetic-ai enables systematic management of project specifications, automated pull request reviews against acceptance criteria, and structured task lifecycle tracking. It facilitates versioning, repository auditing, and migration of frontend state management patterns, ensuring that code changes remain strictly aligned with defined project requirements and quality gates.
Which technical personas benefit from these capabilities?▼
These capabilities are designed for software engineers, technical leads, and quality assurance specialists who manage complex project requirements. It is particularly useful for teams maintaining high-velocity repositories who need to enforce rigorous documentation standards and ensure that every pull request satisfies predefined acceptance criteria before merging.
What are the prerequisites for implementing these project management features?▼
Implementation requires a GitHub-based repository environment and familiarity with YAML-based configuration structures. Users must define project specifications and acceptance criteria within the system to enable the validation logic, which then integrates directly into the pull request lifecycle to monitor code health and requirement fulfillment.