#69 · Primary category: Prompt Engineering Tools

autoprompt-skill

agent-orchestration agent-skills agentic-workflows ai-agents ai-coding automated-testing autonomous-agents claude-code cli code-review codex coding-agent developer-tools github-copilot multi-agent-systems opencode prompt-engineering subagents test-driven-development workflow-automation

Autoprompt is a coding-agent skill that cuts failures by 45% on agentic coding tasks.

Project last updated:08/30/26

GitHub Stars

937

Forks

64

Contributors

2

License

MIT

Why we included this project

Autoprompt treats sloppy multi-step agent runs as a fixable process problem instead of something you just tolerate. It installs as a skill inside an existing coding agent and walks one explicit goal through planning, building, testing, reviewing, repairing, and verifying, with the plan, approve, and verify roles kept separate so no single agent checks its own work. The authors back the approach with numbers: a Terminal-Bench 2.1 comparison and 45% fewer failures on agentic coding tasks, which gives you a benchmark to sanity-check before trying it. The trial itself is reasonably quick since it ships as an npm-installable CLI with a compatibility guide for custom agents. The docs are honest about the cost, too: expect longer runs and higher token use than an unguided agent.

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