Compare
Up to three tools. The table shows the data as-is, without picking a “best”.
| Field | Miller | superpowers-dsh | Task |
|---|---|---|---|
| Platforms | Universal, MCP, Claude Code, Codex, Cursor | DeepSeek Harness | Universal, GitHub |
| Local support | Yes | Yes | Yes |
| Paid API | No | No | No |
| License | BSD-2-Clause | MIT | MIT |
| Stars | 10049 | 119 | 16276 |
| Last activity | October 21, 2026 | — | — |
| Install complexity | EASY | — | سهل / Easy |
| Category | Workflow, Data | Multi-Agent, Testing, Workflow | Workflow, DevOps |
| Best use | Ideal for developers, data analysts, and operators who need to clean a CSV export, inspect JSON Lines, or summarize a large file from the terminal without starting a Python project. Use it for quick, repeatable file processing; concurrent transactions and advanced visual analysis still call for a database or complementary analytics tool. | Best for DSH users who want reusable development workflow skills in their profile. It does not automate model or effort routing. | Best for a developer or small team whose project commands span languages, folders, and tools. It provides documented entry points that people and agents can use and review in Git. Existing scripts may be enough for a simple project; Task does not install project tools or sandbox their commands. |