MichengAI/dsh-automation

TaskSwarm arranges a batch of tasks into dependency-ordered waves, runs multiple AI workers in parallel lanes isolated by git worktrees, then automatically reviews and merges their output.

A kanban board inside DeepSeek Harness, integrated with the conversation: the agent writes planning cards via kanban tools while you talk, boards are isolated per workspace (project), and data is persisted to disk.

Reuses DeepSeek web's built-in vision mode for text-only models: the deepseek_vision tool drives the local deepseek-vision-cli browser automation (manual login helper, deep-think enabled, auto-closes browser) and returns image descriptions as text.

Task board for DSH: create tasks with project and model assignment, run them manually or on cron schedules; new sessions in a project automatically pick up its todo tasks and move them to in-review when done.

Calendar and hierarchical task workbench: AI-assisted intake clarification, consultation, decomposition, execution with user acceptance, and review, plus reminders and per-task AI session workspaces.

This is not a GitHub API plugin. It is a skill pack that teaches DeepSeek Harness how to work through GitHub engineering workflows: PR triage, review feedback, CI diagnosis, and safe publish — composing whatever GitHub/Git capabilities are already available and falling back to gh/git when necessary.