MCP Toolkit for Flutter AI Agent Driven Development (MCP/CLI + custom client side tools) - via closed feedback loop (visual & semantic snapshot) and high client side customization adaptable for any Flutter app. Nowadays it is often called as agentic harness.

A compact, schema-first standard for the boundary between cognition and execution.

Give any repo a canonical AI control plane. One prompt, any AI — Codex, Claude, Copilot, Cursor.

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.

Open standard for responsible human–AI co‑working (six pillars: Economic Accountability, Social Fairness, Psychological Safety, IP & Cognition Ownership, Ecological Sustainability, Meaningful & Responsible Use).

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.

End-to-end Playwright skill pack for planning, authoring, debugging, documenting, and operationalizing test automation.

Rest Assured skill pack for designing, implementing, documenting, and reporting API tests in Java and CI workflows.

The open source runtime enforcement for AI agents.

Runs severity-ranked engineering audits and executes approval-gated refactors to raise prototype code to production quality.

Explains automated tests in business language and reviews automation quality, coverage, and traceability.

Generates epics, backlog-ready user stories, and importable story packs from requirements, discovery notes, or codebases.

Transforms requirements and business rules into structured software test artifacts using the right black-box design technique.

Generates realistic synthetic datasets for tests and demos with seeded, locale-aware, and distribution-shaped data.

Professional PlantUML and C4 diagram skill for architecture visualization, sequence flows, and technical documentation.

Reviews and improves BDD and Gherkin scenarios with coaching on traceability, coverage gaps, and Given-When-Then quality.

Formats approved test artifacts into review-ready docs and importable outputs for Gherkin, Xray, Zephyr, TestLink, and TestRail.

Produces auditable token-usage and cost reports from runtime evidence, normalized usage bundles, and repository-level report sets.

Plans and runs responsive frontend testing across devices and screen sizes, with normalized reporting outputs.

tool that runs every check in the right sequence, pulls in the latest outputs automatically, and guarantees each release is consistent, reliable, and locked in.