marketing-plan
Marketing plan generator with web research and Word output.
Skill by wangfeiv
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/wangfeiv-marketing-plan
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: documents, data, marketing, research
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/marketing-plan
What's inside
- Skill name
marketing-plan- Description
- Marketing plan generator with web research and Word output. Use when user needs to create marketing plans, promotional campaigns, social media strategies. Fetches latest market data via web search. Generates Word documents. 营销方案、推广计划、营销策划。
- License
- MIT-0
- Instructions
- 208 lines in SKILL.md · view on GitHub
Files (3)
- LICENSE.txt
- SKILL.md
- _meta.json
SKILL.md (first lines)
# Marketing Plan Generator
Professional marketing plan generator with web research and Word document output.
## Features
- 📋 **Marketing Plans**: Complete strategy documents
- 📢 **Campaign Plans**: Multi-channel strategies
- 🌐 **Web Research**: Fetch latest market data
- 📄 **Word Output**: Generate .docx files
- 🎯 **Target Analysis**: Audience segmentation
- 📊 **Budget Planning**: ROI-focused allocation
## How It Works
```
User request
↓
1. Web Search: Fetch latest market data
↓
2. AI Analysis: Generate strategy
↓
3. Python Code: Create Word document
↓
Output: Professional .docx file
```
## Step 1: Understand Requirements
```
User provides:
- Product/service name
- Target audience
- Budget
- Timeline
- Goals
```
## Step 2: Research Market Data
Agent searches for:
- Competitor information
- Market trends
- Industry benchmarks
- Best practices
## Step 3: Generate Word Document
```python
from docx import Document
from docx.shared import Pt, Inches, RGBColor
from docx.enum.text import WD_ALIGN_PARAGRAPH
from datetime import datetime
class MarketingPlanGenerator:
def __init__(self, product, company, budget):
self.product = product
self.company = company
self.budget = budget
self.channels = []
self.timeline = []
self.goals = []
self.competitors = []
def add_channel(self, name, budget_pct, description):
self.channels.append({
'name': name,
'budget': self.budget * budget_pct / 100,
'budget_pct': budget_pct,
'description': description
})
def add_milestone(self, date, task, owner):
self.timeline.append({'date': date, 'task': task, 'owner': owner})
def add_goal(self, metric, target):
self.goals.append({'metric': metric, 'target': target})
def add_competitor(self, name, strengths, weaknesses):
self.competitors.append({
'name': name,
'strengths': strengths,
'weaknesses': weaknesses
})
def generate_docx(self, output_path, lang='en'):
"""Generate professional Word document with excellent formatting"""
doc = Document()
# Set page margins
section = doc.sections[0]
section.top_margin = Cm(2.54)
section.bottom_margin = Cm(2.54)
section.left_margin = Cm(2.54)
section.right_margin = Cm(2.54)
# Title
if lang == 'zh':
title = doc.add_heading('营销推广方案', 0)
else:
title = doc.add_heading('Marketing Plan', 0)
title.alignment = WD_ALIGN_PARAGRAPH.CENTER
# Subtitle
if lang == 'zh':
sub = doc.add_heading(f'{self.product}', 1)
else:
sub = doc.add_heading(f'{self.product}', 1)
sub.alignment = WD_ALIGN_PARAGRAPH.CENTER
# Date and company
info = doc.add_paragraph()
info.alignment = WD_ALIGN_PARAGRAPH.CENTER
run = info.add_run(f'{self.company} | {datetime.now().strftime("%Y-%m-%d")}')
run.font.size = Pt(10)
run.font.color.rgb = RGBColor(100, 100, 100)
doc.add_paragraph()From wangfeiv/GitProjects, MIT-0.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- May 3, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT-0
- Repository
- github.com/wangfeiv/GitProjects
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
marketing-plan skill. Agent Mart. https://agentmart.dev/skills/wangfeiv-marketing-plan (last updated 2026-10-24)