dsh-meta-orchestrator

A DeepSeek Harness plugin that teaches the agent to synthesize a task-specific workflow at runtime — instead of hard-coding pipelines or fixed agent topologies.

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🧭 How it works

Normally an agent just starts working on your request. With this plugin, it plans first, then works the plan — and the plan is written by the model itself, per request:

1. Analyze — the agent reads the request; if it is genuinely ambiguous, it asks before doing anything.
2. Pick a pattern — it chooses one of five proven ways to organize the work: ⛓️ steps in order (prompt-chaining), ⚡ fan out independent parts (parallel-workers), 🔀 classify, then dispatch (router), 🎯 delegate and review (supervisor), 🔁 draft → score → improve (evaluation-loop). Each pattern's detailed playbook is loaded only when picked.
3. Write the plan down — it calls orchestrate with the stages, the roles it will delegate, and verifiable success criteria. The plugin validates the structure and saves it durably. That is all the plugin ever does: it records plans, it never executes them.
4. Do the work with DSH's own tools — subagents, todos, workflow scripts, plan mode. The plugin adds no runtime of its own.
5. Adapt or close — if reality diverges, adapt_workflow revises the plan (every revision is versioned); when the work is done, records how each success criterion turned out.