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Readme

SCE - Scene Capability Engine

SCE is a scene-governed execution and governance engine for AI-native software delivery. It turns open-ended agent work into a controlled path from goal -> scene -> spec -> task -> patch -> verify -> release.

English | 简体中文

What SCE Solves

AI agents can generate code quickly, but they also drift, over-create context, lose execution history, and hide risky decisions inside long sessions.

SCE provides the missing control layer:

Scene-governed context: one primary session per scene, many specs per scene, many tasks per spec.
Spec-first execution: requirements, design, tasks, and gates stay attached to the work, not buried in chat history.
Bounded autonomous delivery: agents can run close-loop, close-loop-program, and close-loop-controller with retry, fallback, and governance policies.
Recoverable local history: timeline snapshots, task refs, and SQLite-backed state keep work recoverable even before Git push.
Release-grade governance: validation gates, handoff evidence, git management checks, and errorbook-driven learning prevent silent regressions.

Core Model

SCE organizes agent work using one stable hierarchy:

session -> scene -> spec -> task -> event
scene is the continuity boundary
spec is the governed work package
task is the smallest user-facing execution unit
event remains the raw audit stream behind the task view

This gives you a predictable way to manage long-running agent work without relying on fragile chat context alone.

Major Capabilities

1. Scene + Spec Governance

Automatic goal intake and spec binding/creation during studio plan
Scene portfolio governance for existing and new specs
Scene/spec/task contracts stored under .sce/
Historical spec-scene backfill for older projects

2. Studio Execution Flow

studio plan -> generate -> apply -> verify -> release
Structured task stream for frontend or IDE integration
Task refs (SS.PP.TT) for lookup and rerun
Auth lease model for protected write operations

3. Autonomous Delivery

sce auto close-loop
sce auto close-loop-batch
sce auto close-loop-program
sce auto close-loop-controller
Built-in retry, fallback-chain, governance replay, and anomaly-aware adaptation

4. Problem Closure and Errorbook

Problem-domain map, chain, contract, and closure gate
Incident staging before promotion to the long-term errorbook
Local + registry-backed errorbook workflow
Default rule: after repeated failed attempts, debug evidence is required

5. Local Timeline and SQLite State

Timeline save/list/show/restore/push commands
SQLite-backed task/event/session state
Deterministic task references and rerun support
File-to-SQLite migration and reconciliation tooling

6. Capability and Scene Assetization

Scene/capability inventory and governance views
Capability extraction, evaluation, and publication workflow
Scene runtime and ontology-oriented execution support
Moqui-oriented capability validation and handoff baselines

Quick Start

Install

npm install -g scene-capability-engine

Adopt into a project

sce adopt

Start a scene-governed workflow

sce studio plan --scene scene.demo --from-chat session-demo --goal "bootstrap first feature" --json
sce spec bootstrap --name 01-00-first-feature --scene scene.demo --non-interactive
sce spec pipeline run --spec 01-00-first-feature --scene scene.demo

Run autonomous delivery

sce auto close-loop "deliver customer + order + inventory baseline"

Recommended Usage Paths

Feature Delivery

sce studio plan --scene scene.customer-order --from-chat session-20260308 --goal "optimize checkout" --json
sce spec bootstrap --name 02-00-checkout-optimization --scene scene.customer-order --non-interactive
sce spec gate run --spec 02-00-checkout-optimization --scene scene.customer-order --json

Program-Scale Autonomous Delivery

sce auto close-loop-program "stabilize order lifecycle and release governance" --program-govern-until-stable --json

Timeline Safety

sce timeline save --summary "before risky refactor"
sce timeline list --limit 20
sce timeline restore <snapshot-id>

Protected Write Flow

sce auth grant --scope studio:* --reason "apply approved patch" --auth-password <password> --json
sce auth status --json

Default Governance Behavior

SCE is opinionated by default.

studio plan runs intake and scene/spec governance unless policy explicitly allows bypass.
verify and release enforce problem-closure and related gates when a spec is bound.
Autonomous program execution applies gate evaluation, fallback-chain logic, governance replay, and auto-remediation.
State persistence prefers SQLite, not ad hoc local caches.
Release validation defaults to integration test coverage via npm run test:release for faster publish feedback.

Key Integration Points

For IDEs, AI shells, or custom frontends, the most important SCE surfaces are:

sce studio plan|generate|apply|verify|release
sce studio events --openhands-events <path>
sce task ref|show|rerun
sce timeline save|list|show|restore
sce capability inventory
sce auth grant|status|revoke
SQLite state at .sce/state/sce-state.sqlite

MagicBall-specific integration surfaces now also include:

sce app bundle list|show|register
sce app registry status|configure|sync*
sce app runtime show|releases|install|activate
sce app engineering show|attach|hydrate|activate
sce mode application|ontology|engineering home
sce pm requirement|tracking|planning|change|issue ... --json
sce ontology er|br|dl ... --json
sce ontology triad summary --json
sce assurance resource|logs|backup|config ... --json

Demo remote registries:

magicball-app-bundle-registry
magicball-app-service-catalog
demo app key: customer-order-demo

Documentation

Start here:

Moqui and capability-focused docs:

Community

Scan the QR code and note sce to join the WeChat group.

License

MIT. See LICENSE.

Version: 3.6.34 Last Updated: 2026-03-08