百度语音识别 - 将语音消息转换为文本。支持中文普通话、英语、粤语、四川话。专为国内服务器环境优化,自动绕过代理访问百度 API。
中文简介正在准备中。当前显示原文说明。
Use when you have a spec or requirements for a multi-step task, before touching code
中文简介正在准备中。当前显示原文说明。
实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Write comprehensive implementation plans assuming the engineer has zero context for our codebase and questionable taste. Document everything they need to know: which files to touch for each task, code, testing, docs they might need to check, how to test it. Give them the whole plan as bite-sized tasks. DRY. YAGNI. TDD. Frequent commits.
Assume they are a skilled developer, but know almost nothing about our toolset or problem domain. Assume they don't know good test design very well.
Announce at start: "I'm using the writing-plans skill to create the implementation plan."
Context: This should be run in a dedicated worktree (created by brainstorming skill).
Save plans to: docs/plans/YYYY-MM-DD-<feature-name>.md
Each step is one action (2-5 minutes):
Every plan MUST start with this header:
# [Feature Name] Implementation Plan
> **For Claude:** REQUIRED SUB-SKILL: Use superpowers:executing-plans to implement this plan task-by-task.
**Goal:** [One sentence describing what this builds]
**Architecture:** [2-3 sentences about approach]
**Tech Stack:** [Key technologies/libraries]
---
### Task N: [Component Name]
**Files:**
- Create: `exact/path/to/file.py`
- Modify: `exact/path/to/existing.py:123-145`
- Test: `tests/exact/path/to/test.py`
**Step 1: Write the failing test**
```python
def test_specific_behavior():
result = function(input)
assert result == expected
```
**Step 2: Run test to verify it fails**
Run: `pytest tests/path/test.py::test_name -v`
Expected: FAIL with "function not defined"
**Step 3: Write minimal implementation**
```python
def function(input):
return expected
```
**Step 4: Run test to verify it passes**
Run: `pytest tests/path/test.py::test_name -v`
Expected: PASS
**Step 5: Commit**
```bash
git add tests/path/test.py src/path/file.py
git commit -m "feat: add specific feature"
```
After saving the plan, offer execution choice:
"Plan complete and saved to docs/plans/<filename>.md. Two execution options:
1. Subagent-Driven (this session) - I dispatch fresh subagent per task, review between tasks, fast iteration
2. Parallel Session (separate) - Open new session with executing-plans, batch execution with checkpoints
Which approach?"
If Subagent-Driven chosen:
If Parallel Session chosen:
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百度语音识别 - 将语音消息转换为文本。支持中文普通话、英语、粤语、四川话。专为国内服务器环境优化,自动绕过代理访问百度 API。
中文简介正在准备中。当前显示原文说明。
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
中文简介正在准备中。当前显示原文说明。
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
中文简介正在准备中。当前显示原文说明。
Use when you have a written implementation plan to execute in a separate session with review checkpoints
中文简介正在准备中。当前显示原文说明。
帮助用户将飞书群机器人 Webhook 通知接入 Claude Code,使得每次任务完成后自动发送飞书消息卡片通知。 触发场景(当用户提到以下任意内容时激活此 skill): - "飞书通知"、"接入飞书"、"飞书提醒" - "task 完成通知"、"任务完成提醒" - "claude 完成提醒"、"claude 通知" - "Stop hook 通知"、"hook 通知" - "发飞书消息"、"飞书机器人" - "任务结束通知"、"配置通知"
中文简介正在准备中。当前显示原文说明。
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
中文简介正在准备中。当前显示原文说明。