writing-plans
The writing-plans skill generates structured implementation plans for multi-step development tasks, including exact file paths, complete code examples, and bite-sized subtasks. Use this skill when breaking down complex features or specifications that require delegation or team implementation, especially when the developer lacks deep context about the codebase or technology domain involved.
git clone --depth 1 https://github.com/shiwenwen/hope-agent /tmp/writing-plans && cp -r /tmp/writing-plans/skills/writing-plans ~/.claude/skills/writing-plansSKILL.md
# Writing Implementation Plans
## Overview
Write comprehensive implementation plans assuming the implementer has zero context for the codebase and questionable taste. Document everything they need: which files to touch, complete code, testing commands, docs to check, how to verify. Give them bite-sized tasks. DRY. YAGNI. TDD. Frequent commits.
Assume the implementer is a skilled developer but knows almost nothing about the toolset or problem domain. Assume they don't know good test design very well.
**Core principle:** A good plan makes implementation obvious. If someone has to guess, the plan is incomplete.
## When to Use
**Always use before:**
- Implementing multi-step features
- Breaking down complex requirements
- Delegating to subagents via subagent-driven-development
**Don't skip when:**
- Feature seems simple (assumptions cause bugs)
- You plan to implement it yourself (future you needs guidance)
- Working alone (documentation matters)
This skill complements Hope Agent's built-in **Plan Mode** (`plan_step` / `submit_plan` / `amend_plan`):
- Plan Mode is the *mechanism* — gates writes, restricts tools, captures structured steps
- This skill is the *method* — what makes a plan good enough to be worth gating against
## Bite-Sized Task Granularity
**Each task = 2-5 minutes of focused work.**
Every step is one action:
- "Write the failing test" — step
- "Run it to make sure it fails" — step
- "Implement the minimal code to make the test pass" — step
- "Run the tests and make sure they pass" — step
- "Commit" — step
**Too big:**
```markdown
### Task 1: Build authentication system
[50 lines of code across 5 files]
```
**Right size:**
```markdown
### Task 1: Create User model with email field
[10 lines, 1 file]
### Task 2: Add password hash field to User
[8 lines, 1 file]
### Task 3: Create password hashing utility
[15 lines, 1 file]
```
## Plan Document Structure
### Header (Required)
Every plan MUST start with:
```markdown
# [Feature Name] Implementation Plan
> **Execution:** Use the `subagent-driven-development` skill to dispatch a fresh subagent per task with two-stage review.
**Goal:** [One sentence describing what this builds]
**Architecture:** [2-3 sentences about approach]
**Tech Stack:** [Key technologies/libraries]
---
```
### Task Structure
Each task follows this format:
````markdown
### Task N: [Descriptive Name]
**Objective:** What this task accomplishes (one sentence)
**Files:**
- Create: `exact/path/to/new_file.py`
- Modify: `exact/path/to/existing.py:45-67` (line numbers if known)
- Test: `tests/path/to/test_file.py`
**Step 1: Write failing test**
```python
def test_specific_behavior():
result = function(input)
assert result == expected
```
**Step 2: Run test to verify failure**
Run: `pytest tests/path/test.py::test_specific_behavior -v`
Expected: FAIL — "function not defined"
**Step 3: Write minimal implementation**
```python
def function(input):
return expected
```
**Step 4: Run test to verify pass**
Run: `pytest tests/path/test.py::test_specific_behavior -v`
Expected: PASS
**Step 5: Commit**
```bash
git add tests/path/test.py src/path/file.py
git commit -m "feat: add specific feature"
```
````
## Writing Process
### Step 1: Understand Requirements
Read and understand:
- Feature requirements
- Design documents or user description
- Acceptance criteria
- Constraints
### Step 2: Explore the Codebase
Use Hope Agent tools to understand the project:
```
# Understand project structure
exec("find src/ -type f -name '*.py'")
# Look at similar features
grep -rn "similar_pattern" src/
# Check existing tests
ls tests/
# Read key files
read("src/app.py")
```
### Step 3: Design Approach
Decide:
- Architecture pattern
- File organization
- Dependencies needed
- Testing strategy
### Step 4: Write Tasks
Create tasks in order:
1. Setup/infrastructure
2. Core functionality (TDD for each)
3. Edge cases
4. Integration
5. Cleanup/documentation
### Step 5: Add Complete Details
For each task, include:
- **Exact file paths** (not "the config file" but `src/config/settings.py`)
- **Complete code examples** (not "add validation" but the actual code)
- **Exact commands** with expected output
- **Verification steps** that prove the task works
### Step 6: Review the Plan
Check:
- [ ] Tasks are sequential and logical
- [ ] Each task is bite-sized (2-5 min)
- [ ] File paths are exact
- [ ] Code examples are complete (copy-pasteable)
- [ ] Commands are exact with expected output
- [ ] No missing context
- [ ] DRY, YAGNI, TDD principles applied
### Step 7: Save the Plan
```bash
mkdir -p docs/plans
# Save plan to docs/plans/YYYY-MM-DD-feature-name.md
git add docs/plans/
git commit -m "docs: add implementation plan for [feature]"
```
## Principles
### DRY (Don't Repeat Yourself)
**Bad:** Copy-paste validation in 3 places
**Good:** Extract validation function, use everywhere
### YAGNI (You Aren't Gonna Need It)
**Bad:** Add "flexibility" for future requirements
**Good:** Implement only what's needed now
```python
# Bad — YAGNI violation
class User:
def __init__(self, name, email):
self.name = name
self.email = email
self.preferences = {} # Not needed yet!
self.metadata = {} # Not needed yet!
# Good — YAGNI
class User:
def __init__(self, name, email):
self.name = name
self.email = email
```
### TDD (Test-Driven Development)
Every task that produces code should include the full TDD cycle:
1. Write failing test
2. Run to verify failure
3. Write minimal code
4. Run to verify pass
See `test-driven-development` skill for details.
### Frequent Commits
Commit after every task:
```bash
git add [files]
git commit -m "type: description"
```
## Common Mistakes
### Vague Tasks
**Bad:** "Add authentication"
**Good:** "Create User model with email and password_hash fields"
### Incomplete Code
**Bad:** "Step 1: Add validation function"
**Good:** "Step 1: Add validation functi>
Use when the user asks to draft, polish, translate, or reply to an email. Produces a clean draft with subject line, greeting, body, and sign-off, plus a pre-send self-check.
Use when the user mentions 飞书 / Feishu / Lark workspace operations: docx (云文档) read/write, bitable (多维表格) records / views / dashboards, drive (云盘) upload/download, wiki (知识库) link resolution, approval (审批) instance create/cancel/query, calendar (日历) event create/list/update + attendees, contact (联系人) user/department lookup, hire (招聘) job/talent/application listing. Trigger on phrases like 'OKR 周报', '把这份文档发到飞书云盘', '给团队拉个评审会议', '查 [姓名] 的联系方式', '撤销那条审批', '/wiki 链接', or any request that mentions a feishu / lark URL / token (doxcn.../bascn.../wikcn.../boxcn.../om_...).
Hope Agent browser automation — the standard `status → tabs → snapshot → act` loop, stale-ref recovery rules, and what to do when login / 2FA / captcha / camera-prompt / dialog blocks progress. Load this skill whenever you reach for the `browser` tool. Trigger on: user asks the agent to open / control / click / scrape / log into / verify something in a web app ('open X and click Y', '打开 X 然后点击 Y', 'log into my Gmail', 'scrape this page', 'fill out the form on X'); user reports a flow that requires real browser context (cookies, JS-rendered content, OAuth).
Discover and install third-party skills from external registries when the user needs a capability that no currently-active skill covers. Trigger when: (1) the user explicitly asks 'find a skill for X', 'is there a skill that does X', 'install a skill to X', (2) the user requests a well-known integration (Slack, Notion, Trello, GitHub, Hue, Sonos, iMessage, weather, TTS, transcription …) that isn't in the active skill catalog, (3) you are about to hand-write ad-hoc shell / API code for a domain that almost certainly has a published skill. Do NOT trigger if an active skill already covers the need — scan the visible skill catalog first.
Self-service diagnostics — query Hope Agent's local SQLite databases (logs / sessions / async jobs) directly via the `exec` tool to investigate problems, analyze usage, and locate root causes. Trigger on: user reports something broken / failing / slow / stuck / not responding ('X 不工作', 'X 报错', 'X 卡住', '为什么 X 失败', 'why did X fail', 'show me the logs', 'check what happened'); ad-hoc data analysis ('this week's token usage', '最近调用最多的工具', 'how many subagent runs failed', 'tool error rate', 'find sessions where X happened'); verifying a fix ('did the error stop after I changed Y'). Use BEFORE asking the user to paste log snippets — the data is on disk, query it directly. Read-only — SELECT only, never UPDATE/DELETE/INSERT/DROP.
Hope Agent native macOS desktop control — the standard `mac_control` status / diagnostics / apps / dock / spaces / snapshot / visual / windows / menu / clipboard / dialog loop, target-first action rules, no-blind-coordinate policy, and recovery for stale AX/window/menu/dialog state. Load whenever using `mac_control`, or when the user asks to control local Mac apps, Dock, Spaces, click/type/menu/window/dialog/clipboard, automate Finder/TextEdit/System Settings, visually locate UI, or says 控制 Mac, macOS 自动化, 点按钮, 打开应用, Dock, Space, 关闭窗口, 菜单点击, 视觉定位.
Self-understanding and issue reporting for Hope Agent itself. Use when the user asks how Hope Agent works internally, asks about its own source code/docs/runtime behavior, reports a bug/failure/slowness/crash, asks to diagnose logs, or asks to create/submit a GitHub issue for a bug, feature request, or improvement (including when there is no bug). Chinese triggers: 自查, 了解自己, 自我诊断, 排查 Hope Agent, 提交 issue, 需求 issue, 功能改进.