digital-twin-sync-workflow
Run the digital twin sync loop to synchronize real-world signals with a digital model. Use when updating digital twins, detecting drift, managing real-time state synchronization, or maintaining model-reality alignment.
npx skills add majiayu000/claude-skill-registry --skill digital-twin-sync-loop --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
## Intent Synchronize a **digital twin** with real-time signals and keep it **grounded, safe, and auditable**. This workflow maintains alignment between the real world and its digital representation. This workflow is designed to **model both real and digital systems** using the canonical world-state schema: - `reference/world_state_schema.yaml` **Success criteria:** - Twin snapshot updated with latest signals - All drift and anomalies detected and documented - Risk assessed and forecasted with evidence - Actions executed only after checkpoint and approval - Complete audit trail with provenance - Rollback available if verification fails **Compatible schemas:** - `reference/world_state_schema.yaml` - `reference/event_schema.yaml` - `reference/workflow_catalog.yaml` ## Inputs | Parameter | Required | Type | Description | |-----------|----------|------|-------------| | `sources` | Yes | array | Data sources to ingest (APIs, files, streams, sensors) | | `world_id` | Yes | string | Identifier for the digital twin being synchronized | | `constraints` | No | object | Policy limits, thresholds, timing constraints | | `prior_snapshot` | No | object | Previous twin state for delta computation
- Intent
- Inputs
- Preconditions (hard gates)
- Procedure
- Output Contract
- Field Definitions
- Examples
- Example 1: IoT Sensor Sync with Anomaly Detection
- Verification
- Safety Constraints
- Composition Patterns
What does the digital-twin-sync-workflow skill do?
Run the digital twin sync loop to synchronize real-world signals with a digital model. Use when updating digital twins, detecting drift, managing real-time state synchronization, or maintaining model-reality alignment.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill digital-twin-sync-loop --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.