A cognition-aware context and harness orchestration framework that combines Graph DBs, Vector DBs, and LLMs to build structured, memory-consistent, and scalable AI systems.
A full fledged kit to yield 80% better results and cost aware vibe code development. Make the best usage of Claude Code AND Codex, inspired by the heavily used antigravity-kit by vudovn, feel free to experiment, raise issues and contribute.
Rest Assured skill pack for designing, implementing, documenting, and reporting API tests in Java and CI workflows.
Harness-kk-god5.0
Drop in any model. Get a harness. Offline-first CLI + TUI that detects model type, runs the right harness, serves HTTP, and scaffolds plugins — for tabular, embeddings, LLMs, vision, diffusion, computer use, and more.
a python linter which evaluates how difficult AI generated code is to read, understand, test, maintain, and safely modify. It gives coding agents actionable and easy to reason about feedback on design problems that traditional linters, type checkers, and tests cannot detect.
Demo to showcase Temporal as the Durable OS layer for Agentic AI underneath an autonomous OpenAI-Agents-SDK trading agent.
End-to-end Playwright skill pack for planning, authoring, debugging, documenting, and operationalizing test automation.
High-performance routing engine that selects the best agent skill for a task and emits structured handoff decisions.
Professional PlantUML and C4 diagram skill for architecture visualization, sequence flows, and technical documentation.
JUnit 5 skill pack for creating, debugging, modernizing, documenting, and routing JVM test workflows.
Runs severity-ranked engineering audits and executes approval-gated refactors to raise prototype code to production quality.
Plans and runs responsive frontend testing across devices and screen sizes, with normalized reporting outputs.
Prepares GitHub repositories for release with changelog validation, semver selection, safe staging, push, and CI follow-through.
Creates grounded Mermaid-first software diagrams and compact architecture documentation from code, schemas, and requirements.
Formats approved test artifacts into review-ready docs and importable outputs for Gherkin, Xray, Zephyr, TestLink, and TestRail.
Reviews and improves BDD and Gherkin scenarios with coaching on traceability, coverage gaps, and Given-When-Then quality.
Analyzes requirements and use cases for ambiguity, testability, delivery risk, and missing stakeholder decisions.
Produces auditable token-usage and cost reports from runtime evidence, normalized usage bundles, and repository-level report sets.
ModuStash is a simple project, centered around modularity when building agents. The system also pairs well with a t3.micro or similar cloud instance, allowing for seamless implementation of long running agents and state persistence. This is a developing project and new features will be rolling out in the future! Enjoy :)
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