by Nanako0129 · Claude Skill · ★ 540
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pilotfish 🐟 Pilot fish swim alongside the ocean's largest predators — small, fast, and doing the routine work so the big one doesn't have to. pilotfish is a multi-model orchestration layer for Claude Code: the frontier model (Claude Fable 5 / Opus) plans, decides, and reviews in your main session, while cheaper models (Opus / Sonnet / Haiku) execute the volume work through global subagents. Quality is protected by fresh-context verification, not by using the biggest model everywhere. Everything installs globally — one setup, every project — and the whole stack degrades gracefully when the frontier model becomes unavailable. Where this came from: my weekly quota reset one morning, and the first thing I did with a fresh Fable 5 allowance was ask it to figure out why the previous week's had evaporated. This repo is the setup that research produced, and it's what I now run daily on every project — three config files, no runtime code. The research notes (with sources) are in docs/.
| Stars | 540 |
| Forks | 41 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 68.3510284318435/100 |
| Open Issues | 7 |
| Last Updated | 2026-07-25 |
| Created | 2026-07-08 |
| Platforms | claude-code, python |
| Est. Tokens | ~17k |
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pilotfish is Multi-model orchestration layer for Claude Code — the frontier model plans, cheaper models execute, verification guards quality. One-prompt install.. It is categorized as a Claude Skill with 540 GitHub stars.
pilotfish is primarily written in Python. It covers topics such as ai-agents, anthropic, claude.
You can find installation instructions and usage details in the pilotfish GitHub repository at github.com/Nanako0129/pilotfish. The project has 540 stars and 41 forks, indicating an active community.
pilotfish is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to pilotfish on Agent Skills Hub include commands, hcom, conductor-orchestrator-superpowers. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.