initializing-vertical-flywheel

分类: 数据与AI | 上传者: jianzhichun | 下载: 0 | 版本: v1.0（最新）
当用户要求从自然语言上下文初始化域飞轮时使用，特别是当环境详细信息不完整或与执行假设混合时。
更新日志: Source: GitHub https://github.com/jianzhichun/emerge
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SKILL.md

---
name: initializing-vertical-flywheel
description: Use when a user asks to initialize a domain flywheel from natural language context, especially when environment details are incomplete or mixed with execution assumptions.
---

# Initializing Vertical Flywheel

## Overview

Use this skill to convert one natural-language bootstrap request into concrete vertical flywheel assets under `~/.emerge/connectors/<vertical>/`, plus verified runtime readiness. Never place vertical connectors inside the plugin project directory.

Core principle: do not claim initialization complete until new read/write pipelines execute and policy state is observable.

## When to Use

- User asks for one-sentence bootstrap, such as "initialize zwcad vertical flywheel".
- User context is natural language, not strict parameters.
- Environment assumptions are uncertain (host/tooling/executor not guaranteed).

Do not use when:

- User only asks for explanation, not initialization.
- User asks only for policy status or read-only review.

## Mandatory TDD Flow

1. **RED**: add/init tests for the requested vertical and watch them fail.
2. **GREEN**: add minimum assets and code to make tests pass.
3. **REFACTOR**: harden naming, verification, and output shape without changing behavior.

No bootstrap completion claim without RED and GREEN evidence.

## Core Initialization Contract

- Input is user natural language; do not force CLI-style parameter declarations.
- Extract only what is explicit in user text.
- Ask only minimal clarifying questions when execution cannot proceed.
- Produce:
  - bootstrap status (`init_ok`, `degraded`, or `blocked`)
  - created/updated assets
  - next verification actions

## Remote Runner Bootstrap (When Needed)
If the user context indicates remote execution, initialize runner connectivity first.

Minimum steps:
1. Execute automated bootstrap from local plugin root:
   - `python3 "${CLAUDE_PLUGIN_ROOT}/scripts/repl_admin.py" runner-bootstrap --ssh-target "<user@host>" --target-profile "<target_profile>" --runner-url "http://<target>:8787"`
2. `runner-bootstrap` performs remote deploy/start/check/persist automatically.
3. Verify with one `icc_exec` smoke call before creating vertical assets.
4. Verify admin health signal:
   - `python3 "${CLAUDE_PLUGIN_ROOT}/scripts/repl_admin.py" runner-status --pretty`
   - proceed only when `Runner reachable: True`.

**Runner HTTP protocol (summary):**

| Endpoint | Purpose |
|----------|---------|
| `POST /run` | Execute one `icc_exec` call |
| `GET /health` | Liveness probe |
| `GET /status` | Process info (pid, uptime, root) |
| `GET /logs?n=N` | Last N log lines |

Runner accepts **only `icc_exec`**. `icc_read`/`icc_write` pipeline execution is handled by the daemon (loads files locally, sends as inline `icc_exec`). Request shape: `{"tool_name": "icc_exec", "arguments": {"code": "...", "target_profile": "...", "no_replay": false}}`.

## Connector Location Rule

This plugin is a **generic RWB flywheel engine**. Vertical-specific connectors must NOT be placed inside the plugin project directory.

- Plugin project (`connectors/mock/`) — testing only, committed to git
- User verticals → `~/.emerge/connectors/<vertical>/` (user-space, not committed)
- Override via env: `EMERGE_CONNECTOR_ROOT=<path>` (e.g. for remote runner deployments)

`PipelineEngine` searches `~/.emerge/connectors/` before the plugin root, so user verticals take precedence automatically.

## Assets To Create (Minimum)

For vertical `<vertical>` (for example `zwcad`), create in **user-space**:

- `~/.emerge/connectors/<vertical>/pipelines/read/state.yaml`
- `~/.emerge/connectors/<vertical>/pipelines/read/state.py`
- `~/.emerge/connectors/<vertical>/pipelines/write/apply-change.yaml`
- `~/.emerge/connectors/<vertical>/pipelines/write/apply-change.py`
- tests (in plugin project, prefer existing suites unless there is a strong reason to split files):
  - `tests/test_pipeline_engine.py`
  - `tests/test_mcp_tools_integration.py`

Do not skip write verification hooks:

- `run_write(...)`
- `verify_write(...)`
- `rollback_write(...)` when policy is `rollback`

## Pipeline Metadata Rules

Each yaml/json metadata file must include:

- `intent_signature`
- `*_steps` (`read_steps` or `write_steps`)
- `verify_steps`
- `rollback_or_stop_policy` (`stop` or `rollback`)

## Implementation Pattern

1. Start with mock-safe behavior in `*.py` that returns deterministic objects.
2. Ensure read returns structured rows and verify payload.
3. Ensure write returns `verification_state` plus policy enforcement fields:
  - `policy_enforced`
  - `stop_triggered`
  - `rollback_executed`
  - `rollback_result`
4. Keep output keys stable; do not introduce ad-hoc text-only outputs.

## Verification Checklist

Run, in order:

1. Targeted tests for new vertical files.
2. `pytest -q` full suite.
3. Confirm policy observability:
  - `python3 "${CLAUDE_PLUGIN_ROOT}/scripts/repl_admin.py" policy-status --pretty`
  - verify pipeline entry appears and counters move after calls.

Initialization is complete only when:

- read and write calls succeed through `icc_read/icc_write`
- policy status includes the new pipeline key (shape: `pipeline::<connector>.<mode>.<pipeline>`)
- when remote mode is used, at least one call is confirmed through runner dispatch
- tests and lint pass.

If runner is required and unreachable, return `blocked` (not `degraded`).

## TDD Test Surface (Required)

Do not treat `PipelineEngine` unit tests alone as sufficient proof.

For RED and GREEN phases, tests must exercise MCP-facing tool paths:

- `icc_exec`
- `icc_read`
- `icc_write`

Minimum expectation:

1. At least one failing-then-passing test through `EmergeDaemon.call_tool(...)` or JSON-RPC `tools/call` for each path used by the init flow.
2. At least one integration assertion that policy registry changes after `icc_read/icc_write` calls.
3. If flywheel bridge is used, include a failing-then-passing test for bridge key updates (`flywheel::...`).

## Quick Reference

- **Read pipeline id:** `<vertical>.read.<pipeline>`
- **Write pipeline id:** `<vertical>.write.<pipeline>`
- **Flywheel bridge key shape:** `flywheel::<pipeline_id>::<intent_signature>::<script_ref>`
- **Policy states:** `explore -> canary -> stable`

## Rationalization Table


| Excuse                              | Reality                                                              |
| ----------------------------------- | -------------------------------------------------------------------- |
| "We can assume remote-vm exists"    | Executor is optional context, not a guaranteed dependency.           |
| "Mock connector means init is done" | Init requires runnable assets, passing tests, and policy visibility. |
| "No need for TDD on docs/skills"    | Skills are process code; TDD still applies.                          |
| "I can ship only yaml metadata"     | Flywheel requires executable `*.py` and verification behavior.       |


## Red Flags

- "I can skip baseline and start implementation."
- "I will hardcode environment assumptions from my local setup."
- "I can declare success without verification output."
- "I added files but did not run `icc_read/icc_write` integration tests."

Any red flag means stop and return to RED.

## Reverse Flywheel Integration

When any `intent_signature` for this vertical reaches `stable` status in
`policy://current`, prompt the operator:

> "`<vertical>.*` 管道飞轮已稳定。是否也建立反向飞轮来观察操作者行为，
> 让 AI 主动识别并接管重复操作？如需要，请调用
> `writing-vertical-adapter` skill。"

This connects the forward flywheel (AI learns to DO tasks) to the reverse
flywheel (AI learns to RECOGNIZE when humans are doing those tasks repeatedly).
The vertical adapter shares the same `intent_signature` namespace and feeds the
same policy registry — a confirmed operator intent goes through Distiller and
enters the flywheel as a new candidate at the explore stage.
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initializing-vertical-flywheel

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