From AI to Chitta — open

Tools for working with AI in a way that can be checked.

Everything here comes out of daily practice as an AI advisor: plugins that make Claude Code sessions disciplined and reproducible, security scanners that compute rather than guess, and frameworks for the parts of AI work that are usually asserted instead of measured. Built in the open, used every day.

New here? Start with voyage — brief, research, plan, execute, review — or llm-security, OWASP-aligned scanning for Claude Code projects.

Workflow and discipline for Claude Code

Repo	What it does	Maturity
voyage	Contract-driven pipeline: brief, research, plan, execute, review	stable
config-audit	Multi-agent analysis and optimisation of Claude Code configuration	stable
graceful-handoff	One-command session handoff into the STATE.md continuity system	stable
repo-mailbox	Local mailbox for coordination between sessions in different repos	beta
repo-standard	Per-repo gate for this org's presentation standard	experimental
app-creator	Pre-design pipeline from app concept to Voyage-ready briefs	experimental
ktg-plugin-marketplace	The plugin catalog — install any of the above from here	stable

Security

Repo	What it does	Maturity
llm-security	Scanning, auditing and threat modeling for Claude Code projects	stable
llm-security-commons	Runtime-neutral core: detector data and normative contracts	beta
llm-ingestion-pipeline-security	Write-time defence for Python pipelines that persist LLM output	beta

Architecture, cost and data

Repo	What it does	Maturity
ms-ai-architect	Structured architecture guidance for the Microsoft AI stack	stable
portfolio-optimiser	Multi-agent cost optimisation on Microsoft Agent Framework, gated by a deterministic validator	experimental
portfolio-optimiser-claude	The same method on the Claude Agent SDK	experimental
portfolio-optimiser-commons	Framework-neutral shared core: normative specs and golden fixtures	experimental
llm-ingestion-okf	Open Knowledge Format ingestion library: connectors and bundle inbox	alpha

Leadership and practice

Repo	What it does	Maturity
okr	OKR guidance for Norwegian public sector, on 4-month tertial cycles	stable
ki-produktivitetsmodell	Three levels of organisational AI productivity, for public-sector leaders (Norwegian)	—
ai-psychosis	Meta-awareness tools for healthy AI interaction patterns	stable

Content and design

Repo	What it does	Maturity
linkedin-studio	Content engine for Claude Code: posts, carousels, video, newsletters	beta
claude-design	Facilitator for prompting Claude Design, from idea to ready prompt	alpha
playground-design-system	Framework-free CSS design system for plugin playgrounds	beta
human-friendly-style	Shared plain-language output style for the marketplace	stable

Maturity labels

Every repo carries a status-* topic, and the tables above read from it. stable is in daily use and safe to depend on. beta works and is in use, with an interface that may still move. alpha is early and will change. experimental is research — read it, do not build on it yet.

Install

Most of the Claude Code work here ships as plugins. Add the marketplace once, then install what you want:

claude plugin marketplace add https://git.fromaitochitta.com/open/ktg-plugin-marketplace.git
claude plugin install voyage@ktg-plugin-marketplace

The first line only registers the catalog — it installs nothing on its own. The Python and framework repos are cloned and used directly; each has its own README.

License and security

MIT unless a repo says otherwise — ki-produktivitetsmodell is CC BY 4.0. Security contact: SECURITY.md.

More context and writing at fromaitochitta.com.