# Aidp Fusion Autopilot

> End-to-end conductor for the Fusion to AIDP to OAC dashboard journey. Takes one high-level goal ('I want a supplier-spend vs GL-balance dashboard from Fusion') and drives the whole chain: configure, connect OAC MCP, bootstrap, seed, advise dataset, author mart if needed, create OAC dataset, author workbook, and optionally enable end-user MCP chat by detecting current state and delegating each step to the right sibling skill/command. Auto-advances on clean steps; pauses for real decisions (destructive seed, variation freeze, OAC dataset creation, ambiguous intent, gaps). Use when the user states a dashboard/analytics goal and wants it driven start-to-finish, OR on first run after installing the plugin: 'I just installed this, what now', 'get me started', 'set me up', 'set up Fusion analytics from scratch / end to end', 'autopilot this', 'take me from nothing to a dashboard'. This is the front door for a fresh install (setup scaffolds the bundle). NOT for a single known step (call that skill directly).

## Facts
- Page: https://tashan.sh/capability/skill-oracle-samples-aidp-fusion-autopilot
- tashan id: skill:oracle-samples/aidp-fusion-autopilot
- Source: https://github.com/oracle-samples/oracle-aidp-samples
- Type: skill
- Category: other
- tashan score: not scored (catalogued only — too little public evidence)
- Adoption: 9.0
- Upkeep: 95.0
- Freshness: 90.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- License: UPL-1.0
- Official: no

## Install

```sh
cp -r aidp-fusion-autopilot ~/.claude/skills/
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-08-20 by tashan (https://tashan.sh) from public evidence. Scorer s5.
