Install
$ agentstack add skill-open-deep-crew-marketplace-writing-plans ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
编写计划
概述
编写全面的实施计划,假设工程师对我们的代码库没有任何背景和可疑的品味。记录他们需要知道的一切:每个任务要接触哪些文件,代码,测试,他们可能需要检查的文档,如何测试。把整个计划作为小任务给他们。干。YAGNI。TDD。频繁提交。
假设他们是熟练的开发人员,但对我们的工具集或问题域几乎一无所知。假设他们不太了解好的测试设计。
开始时宣布:“我将使用写作计划技能来制定实施计划。”
背景: 这应在专用工作树(由头脑风暴技能创建)中运行。
计划保存至: docs/plans/YYYY-MM-DD-.md
细化任务粒度
每个步骤为一个动作(2-5分钟):
- “编写失败的测试”——步骤
- “运行测试以确保其失败”——步骤
- “实施最少的代码以使测试通过”——步骤
- “运行测试并确保其通过”——步骤
- “提交”——步骤
计划文档标题
每个计划必须以此标题开头:
# [功能名称] 实施计划
> **致Kiro:** 必需的子技能:使用超级能力:executing-plans,逐项执行此计划任务。
**目标:** [用一句话描述此计划要构建的内容]
**架构:** [用2-3句话说明实现方法]
**技术栈:** [关键技术/库]
---
任务结构
### Task N: [组件名称]
**文件:**
- 创建: `exact/path/to/file.py`
- 修改: `exact/path/to/existing.py:123-145`
- 测试: `tests/exact/path/to/test.py`
**步骤1:编写失败的测试**
```python
def test_specific_behavior():
result = function(input)
assert result == expected
步骤2:运行测试以验证其失败
运行: pytest tests/path/test.py::test_name -v 预期:失败,提示“函数未定义”
步骤3:编写最小化实现
def function(input):
return expected
步骤4:运行测试以验证其通过
运行: pytest tests/path/test.py::test_name -v 预期: 通过
步骤5: 提交
git add tests/path/test.py src/path/file.py
git commit -m "feat: 添加特定功能"
注意事项
- 始终使用准确的文件路径
- 计划中包含完整代码(而非“添加验证”之类的表述)
- 带有预期输出的准确命令
- 用@语法引用相关技能
- 遵循DRY(不要重复自己)、YAGNI(你不会需要它)、TDD(测试驱动开发)原则,频繁提交
执行交接
- 将计划保存到
docs/plans/YYYY-MM-DD-.md后,将完整的设计方案展示给用户,展示格式为:
``` -Implement
--
```
- 询问:“是否开始实施,使用 /executing-plans skill 实施实现计划”
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: open-deep-crew
- Source: open-deep-crew/marketplace
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.