wellorbetter/dsh-product-delivery-workflow
100% AI 原生产品交付工作流插件,专为 DeepSeek Harness 打造:完整覆盖产品到发布的全流程(研究 → PRD → OpenSpec → 并行多智能体 → 审查循环 → 测试 → 发布审计),实现闭环管理。产品交付工作流插件:从产品到发布全流程,自带闭环,100% AI 原生,睡前启动醒来收货。
项目介绍Project Overview
这是 DeepSeek Harness 的产品交付工作流插件,提供1个编排技能与9个角色代理技能,覆盖从需求简报、调研、PRD、架构、并行实现、评审、测试到发布审计的十阶段闭环。适合无人值守的长任务或隔夜自主交付;评审发现会回退责任代理,最多循环5轮,仍未通过则需人工介入。
This is a DeepSeek Harness plugin for product delivery, adding one orchestrator workflow skill and nine role-agent skills. It runs a ten-stage pipeline from brief and research through PRD, architecture, parallel implementation, review, testing, memory, and release audit, with findings looped back until gates pass. Use it for long, autonomous or overnight delivery tasks. Reviews cap at five cycles, then human direction is required.
请帮我了解并安装插件:【dsh-product-delivery-workflow】【https://github.com/wellorbetter/dsh-product-delivery-workflow】
把上面这条消息直接发给当前会话里的 DSH,让它帮你了解并安装。安装命令不一定准确,发给 DSH 更稳。Send this message to DSH in your current session. CLI install commands may not be accurate across systems — DSH will figure it out for you.
或使用命令行安装(适合开发者)Or use CLI install (for developers)
命令行安装CLI Install
dsh plugin --profile web add github:wellorbetter/dsh-product-delivery-workflow
把 wellorbetter/dsh-product-delivery-workflow 加入你的 DSH 配置(web profile)即可启用。
READMEREADME
Product Delivery Workflow
A product delivery workflow plugin for DeepSeek Harness: a full product-to-release pipeline with loop closure, built for high-quality autonomous completion of long, hard tasks.
Kick it off before you sleep; wake up to the final report.
100% AI-native — no human in the loop: autonomous research, architecture, implementation, review, testing, and release audit, end to end.
What this plugin provides
Installing this bundle adds one workflow skill + nine role-agent skills to every session of the target dsh profile (via the model-facing skill tool and ctx.skills). No other configuration is needed.
| Skill | Role |
|---|---|
product-delivery-workflow |
The orchestrator: 10 stage gates from brief to release, artifact-driven, with review loops and a required final report. |
product-agent |
Product manager: evidence-backed decisions (BUILD / REFINE / REJECT), PRDs with acceptance criteria and metrics. |
architect-agent |
Senior architect: OpenSpec proposals, component boundaries, interfaces, contracts, and dependency-ordered task graphs. |
senior-dev-agent |
Senior developer: bounded implementation from contracts, deterministic tests, explicit error handling. |
agent-team |
Multi-agent team/swarm: bounded subagents, parallel workflows, disjoint ownership, independent review. |
perf-reviewer-agent |
Read-only performance reviewer against PRD budgets. |
test-agent |
Automated testing and manual platform/device verification against contracts and acceptance criteria. |
memory-curator |
Safe cross-session memory candidates from approved evidence only. |
evolution-agent |
Measurable workflow improvements as evidence-backed proposals. |
release-audit-agent |
Read-only pre-commit / pre-GitHub release audit (secrets, privacy, hygiene). |
The workflow in one picture
Brief → Research → Product Decision → PRD → OpenSpec Architecture
→ Parallel Implementation (one bounded agent per task)
→ Independent Review Loop (correctness / architecture / performance)
→ Tests & Acceptance → Memory & Evolution → Release Audit
→ Required Final Report ──┐
└── findings route back to workers → loop until PASS
The loop is the point: every review finding routes back to the responsible worker and repeats until all reviewers pass (5 cycles max, then it asks for human direction). Nothing is claimed unless its artifact or verification result exists.
Why run it overnight
- Loop closure — review → fix → re-review continues without human babysitting; it stops only when gates pass or a hard blocker needs you.
- Artifact persistence — everything lands under
.opencode/workflow/<slug>/(01-research.md→10-*), so you can audit the whole run after sleeping. - Bounded delegation — parallel waves with disjoint file ownership and explicit contracts; workers never commit, push, or redesign contracts.
- Safety rails — the release audit runs before any
git commit/ PR / push, and memory curation never stores secrets or transcripts. - Self-improving —
evolution-agent+memory-curatorturn each run's evidence into proposals and durable memory for the next one.
Install
Requires the dsh CLI (install DeepSeek Harness).
# from GitHub (recommended)
dsh plugin --profile web add github:wellorbetter/dsh-product-delivery-workflow
# or from a local checkout
dsh plugin --profile web add ./dsh-product-delivery-workflow
Restart the profile (dsh web / dsh --profile <name>) after installing. The plugin is a bundle: it declares dsh.bundle.patch, so dsh plugin reconciles it into the profile's dsh.profile.bundles layer list automatically. It ships plain JavaScript (lib/index.js), so a GitHub install needs no build step or allowBuilds permission.
Use
In any session of the profile, ask for the workflow — the orchestrator loads the role skills itself:
Run the product delivery workflow on
<brief>. Produce the full pipeline and the final report. You may work autonomously; loop until the gates pass.
Or invoke a single role for a bounded task:
Use product-agent to review this PRD against the delivery results and report gaps.
For overnight runs, pair it with the goal/headless mode: start a session with the brief, let it loop, and check the .opencode/workflow/<slug>/ artifacts and final report in the morning.
Development
pnpm install
pnpm verify # discovers + loads all 10 packaged skills through the provider
License
MIT
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