[Bug]: Speckit skills are not interactive
- 主要言語
- Python
- スター
- 137k
- フォーク
- 12.3k
- 平均マージ
- 2日 12時間
- マージ済み PR(30日)
- 159
説明
### Bug Description
I am using spec-kit latest version 1.0.6 for 3 projects. These are the problems I faced.
1. Most of the skills don't ask questions from the user. It just start doing it's join as and when I submit the /speckit-*** command
2. In my recent case there were 60 tasks that were documented by /speckit-tasks. But when I tried /speckit-implement command it' straight away implemented 25 tasks until I realized that it's continuously implementing the tasks without asking me for review. My point is the command should be interactive like implement task by task and then ask user's review and user's confirmation before proceeding to implement next task.
### Steps to Reproduce
I tried these commands in the order FYI
1. /speckit-constitution
2. /speckit-specify
3. /speckit-plan
4. /speckit-tasks
5. /speckit-implement
### Expected Behavior
1. /speckit-*** skills should be interactive with the user and ask questions to user to get more context
2. /speckit-*** skills should implement task by task and then ask user's review and user's confirmation before proceeding to implement next task.
### Actual Behavior
1. /speckit-*** skills are behaving mostly autonomous and not asking user's inputs for getting more context.
2. /speckit-*** skills are not asking for user's review and continually implementing on it's own.
### Specify CLI Version
1.0.6
### AI Agent
GitHub Copilot
### Operating System
Windows 11
### Python Version
Python 3.13.15
### Error Logs
```shell
No error logs
```
### Additional Context
_No response_
コントリビューションガイド
調査の方向性
Reproduce the reported flow with /speckit-constitution, /speckit-specify, /speckit-plan, /speckit-tasks, and /speckit-implement using spec-kit 1.0.6 and GitHub Copilot. Review how these command entry points handle user prompts and task progression; done means skills request needed context and /speckit-implement pauses for review and confirmation between tasks.
索引モデルが issue の本文から書いたものです。
評価
- 技術スタック
- python
- 領域
- ai, cli, tooling
- issue の種類
- バグ
- 難易度
- 4/5
- 見積もり時間
- 3〜5日
- 活発さ
- 活発
- 明瞭さ
- おおむね明確
- 初心者へのやさしさ
- 35/100