TI-Toolbox for AI agents: skills (usage, scripting API, domain, codebase, running pipelines) + MCP servers (read-only wiki/source/project reader; job driver for the running app).
Plugin ti-toolbox from marketplace ti-toolbox in idossha/TI-Toolbox. Commands read from the repo's manifest — 5 days ago.
This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.
ti-codebaseTI-Toolbox codebase patterns, module graph, conventions and architecture (v3 — Electron desktop app, FastAPI tit.server, shared tit science core). Use when reading or modifying source under tit/ or desktop/ (developers).
ti-domainTemporal interference neurostimulation domain knowledge. Use when working on simulation, optimization, analysis, or preprocessing code in TI-Toolbox.
ti-run-pipelinesRun TI-Toolbox pipelines for the user through the app they have open — copy raw DICOM/NIfTI into the project's sourcedata, preprocess (charm head model), flex-search or ex-search optimisation, simulate a montage or an optimisation result, and follow the jobs. Use when the user asks you to DO somethi
ti-scriptingPython scripting API of TI-Toolbox (`tit` package) — SimulationConfig, FlexConfig, ExConfig, Analyzer, run_group_comparison, run_pipeline, the tit.calc envelope functions, JSON config runners. Use when writing or debugging scripts or notebooks that drive TI-Toolbox, or converting a UI workflow to co
ti-toolboxOrientation for the Temporal Interference Toolbox (TI-Toolbox, Python package `tit`). Use whenever the user mentions TI-Toolbox, TI stimulation simulation/optimization, SimNIBS-based TI workflows, flex-search, ex-search, mTI, the v3 desktop app, or a BIDS project with derivatives/SimNIBS. Explains h
troubleshoot-projectDiagnose a TI-Toolbox project directory — which subjects, head models, simulations, optimizations, jobs and reports exist, and what is missing for the user's goal.
ti-toolboxruns: ${TIT_PYTHON:-python3} ${CLAUDE_PLUGIN_ROOT}/mcp/server.py
ti-toolbox-jobsruns: ${TIT_PYTHON:-python3} ${CLAUDE_PLUGIN_ROOT}/mcp/jobs_server.py
Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams
26 skills · 4 commands · 3 agents · 1 MCP server
Evidence-backed BioPharma research workflows over Maven Bio's drug, trial, company, and deal knowledge graph. Skills for competitive pipelines, indication landscapes, asset profiles, deal and financing activity, and evidence synthesis grounded in FDA, SEC, clinical, and press sources. Requires a Maven Bio account.
16 skills · 1 agent · 1 MCP server
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1 skill · 3 commands · 1 agent · 1 MCP server
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Science-based learning exercises for deliberate skill development during AI-assisted coding
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