Workflow Automation Bundle

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Included Skills (17)

1. Tao Launch Workflow — The mandatory pre-launch gate and four-verb execution contract for every TAO workflow or action. Invoke BEFORE launching anything side-effecting — AutoML, train, evaluate, inference, export, TensorRT engine generation, or DEFT/application workflows — on any execution platform. Covers platform selection, credentials, image confirmation, dataset intake, preflight, the launch review, job records, monitoring, and failure/retry classification. Trigger phrases include "train this model", "run AutoML", "launch on SLURM/docker/k8s/brev/virtualenv", "evaluate my checkpoint", "start a TAO job".
2. Circleci — Configure CircleCI workflows and orbs for continuous integration and
3. Project Status Tracker — Displays project progress, active tracks, and next actions for Conductor users.
4. Conductor Revert — Git-aware undo by logical work unit (track, phase, or task)
5. Conductor Implement — Execute tasks from a track's implementation plan following TDD workflow
6. Git Workflow And Versioning — Structures git workflow practices. Use when making any code change. Use when committing, branching, resolving conflicts, or when you need to organize work across multiple parallel streams.
7. Tao Token Efficient Execution — Token-efficient execution kit for repeated TAO agentic workflows. Compiles a skill into stage cards once (with a strong model), then executes them forever in fresh, small headless sessions coordinated by a bash driver — measured 67-91% token reduction and 3-5x lower peak context vs one long conversation. Use when a TAO workflow will be run repeatedly, when token cost matters, when the target model has a small context window, or on trigger phrases like "token efficient", "reduce token cost", "card pack", "stage cards", "run this workflow on a small model", "compile this skill into cards".
8. Doc Coauthoring — This skill provides a structured workflow for guiding users through collaborative document creation. Act as an active guide, walking users through three stages: Context Gathering, Refinement & Structure, and Reader Testing.
9. Codex Workflow Disciplinarian — This skill enforces rigorous inspection, evidence-based reasoning, and verification protocols to help coding agents maintain high-quality, reliable, and goal-oriented development workflows.
10. Session Handoff — Use when context approaches capacity, before /clear or /compact, when switching tasks, or when ending a coding session: produces a structured handoff artifact for the next session.
11. Agent Skill Orchestrator — This meta-skill helps developers identify and invoke the appropriate engineering workflow skill based on the specific phase of their current software development task.
12. AI Loop — Runs a bounded spec-build-review development loop with explicit scope, stop conditions, and human approval gates for risky or ambiguous work.
13. NVFlare Workflow Navigator — This skill guides users through NVFLARE project initiation and routes ambiguous requests to the appropriate specialized framework converter or workflow handler.
14. Hub Status — Show DAG state, agent progress, and branch status for an AgentHub session. Use when the user runs /hub:hub-status or asks how the AgentHub agents are doing.
15. Skill Routing Assistant — This tool acts as a central router to help developers identify and invoke the most appropriate workflow or skill for their specific task.
16. LangGraph Agent Architect — This expert assistant helps developers design and implement robust, stateful, multi-actor AI applications using the LangGraph framework for production-grade agent workflows.
17. Content Asset Coordinator — This skill helps cross-functional teams manage metadata, track complex asset dependencies, and streamline delivery workflows for production and distribution projects.