论文生成
- 作者仓库星标 0
- 作者更新于 实时读取
- 作者仓库 skills-registry
- 领域
- 设计与多媒体
- 兼容 Agent
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- 信任分
- 88 / 100 · 社区维护
- 作者 / 版本 / 许可
- @tomevault-io · 未声明 license
- Token 消耗评级
- 低消耗
- 接入复杂程度
- 即装即用
- 是否需要外部 API Key
- 不需要
- 兼容的系统
- 未声明(默认跨平台)
- 底层运行要求
- Python
- 文件与系统权限
-
- 只读
- 允许写入 / 修改
- 网络行为
- 仅限本地
- 安装命令数
- 26 条
档案由构建时根据 SKILL.md 与安装命令自动衍生,可能与作者实际意图存在差异。
需要注意: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: content-creator
description: Create SEO-optimized marketing content with consistent brand voice. Includes brand voice analyze…
category: 设计与多媒体
runtime: Python
---
# content-creator 输出预览
## PART A: 任务判断
- 适用问题:视觉内容、演示材料、信息图或设计交付。
- 输入要求:目标材料、限制条件、期望输出和验收方式。
- 证据边界:围绕“When to Use / Keywords / Quick Start”读取原文规则,不把推断写成作者承诺。
## PART B: 执行结果
- **01** 任务判断:确认你的需求是否属于视觉内容、演示材料、信息图或设计交付,并标出输入、限制和预期结果。
- **02** 执行计划:优先按“When to Use / Keywords / Quick Start”拆成步骤,说明每一步会读取什么、修改什么、产出什么。
- **03** 交付结果:给出可复制的命令、文件改动、检查清单或内容草稿,并说明如何继续迭代。
- **04** 风险边界:结合 读取文件、写入/修改文件、主要在本地完成、通常不需要额外 API Key 给出执行前确认项。
## Running Rules
- 读取文件、写入/修改文件;主要在本地完成;通常不需要额外 API Key。
- 先小样例验证,再放大到真实任务。
- 交付时同时给结果、检查口径和下一步迭代建议。 原文没有稳定的斜杠命令要求。安装验证后通常全局生效,直接在对话里点名这个 Skill 并描述任务即可。
告诉 Agent 目标文件或材料、期望结果、不可改范围、是否允许联网或执行命令。本 Skill 的权限画像是:读取文件、写入/修改文件。
先用一个小任务确认它会围绕“When to Use / Keywords / Quick Start”工作;涉及文件或命令时,先看 diff、日志、预览或测试结果。
检查最终产物是否包含明确结果、必要证据和下一步动作;如果输出泛泛而谈,就补充输入、边界和验收标准后重跑。
---
name: content-creator
description: Create SEO-optimized marketing content with consistent brand voice. Includes brand voice analyze…
category: 设计与多媒体
source: tomevault-io/skills-registry
---
# content-creator
## 什么时候使用
- 把设计与视觉方向的常用动作沉淀成 Agent 可调用的技能 适合处理界面、视觉、封面、信息图或演示材料交付,核心价值是把输入、判断、执行、验证和交付边界固定下来,避免 Agent 泛泛回答。 把任务拆成可执行、可检查、可继续迭代的步骤…
- 面向视觉内容、演示材料、信息图或设计交付,优先处理能明确输入、步骤和验收标准的工作。
## 需要提供什么
- 目标材料、目录范围、期望结果和不可改动内容。
- 是否允许联网、执行命令、读写文件或调用外部服务。
## 执行规则
- 围绕「When to Use / Keywords / Quick Start」组织步骤,不把推断写成作者事实。
- 读取文件、写入/修改文件;主要在本地完成;通常不需要额外 API Key。
- 先跑小样例,确认结果可检查后再扩大任务范围。
## 输出要求
- 给出最终产物、关键证据、验证方式和下一步动作。
- 信息不足时标记 unknown,不编造命令、平台或依赖。 作者原文负责流程事实;仓库文件负责来源和命令;流狐只补充适用场景、限制和质量判断。
skill "content-creator" {
输入层 -> 用户目标 + 目标文件 + 禁止范围 + 验收标准
上下文层 -> When to Use / Keywords / Quick Start
规则层 -> SKILL.md 触发条件 / 执行顺序 / 输出格式
运行层 -> Python | 读取文件、写入/修改文件 | 主要在本地完成
安全层 -> 通常不需要额外 API Key + 小任务验证 + diff / 日志复核
输出层 -> 可复制结果 + 检查清单 + 下一步迭代
} Content Creator
Professional-grade brand voice analysis, SEO optimization, and platform-specific content frameworks.
When to Use
Use this skill when writing blog posts, creating social media content, establishing brand voice, optimizing content for SEO, or planning content calendars.
Keywords
content creation, blog posts, SEO, brand voice, social media, content calendar, marketing content, content strategy, content marketing, brand consistency, content optimization, social media marketing, content planning, blog writing, content frameworks, brand guidelines, social media strategy
Quick Start
For Brand Voice Development
- Run
scripts/brand_voice_analyzer.pyon existing content to establish baseline - Review
references/brand_guidelines.mdto select voice attributes - Apply chosen voice consistently across all content
For Blog Content Creation
- Choose template from
references/content_frameworks.md - Research keywords for topic
- Write content following template structure
- Run
scripts/seo_optimizer.py [file] [primary-keyword]to optimize - Apply recommendations before publishing
For Social Media Content
- Review platform best practices in
references/social_media_optimization.md - Use appropriate template from
references/content_frameworks.md - Optimize based on platform-specific guidelines
- Schedule using
assets/content_calendar_template.md
Core Workflows
Establishing Brand Voice (First Time Setup)
When creating content for a new brand or client:
Analyze Existing Content (if available)
python scripts/brand_voice_analyzer.py existing_content.txtDefine Voice Attributes
- Review brand personality archetypes in
references/brand_guidelines.md - Select primary and secondary archetypes
- Choose 3-5 tone attributes
- Document in brand guidelines
- Review brand personality archetypes in
Create Voice Sample
- Write 3 sample pieces in chosen voice
- Test consistency using analyzer
- Refine based on results
Creating SEO-Optimized Blog Posts
Keyword Research
- Identify primary keyword (search volume 500-5000/month)
- Find 3-5 secondary keywords
- List 10-15 LSI keywords
Content Structure
- Use blog template from
references/content_frameworks.md - Include keyword in title, first paragraph, and 2-3 H2s
- Aim for 1,500-2,500 words for comprehensive coverage
- Use blog template from
Optimization Check
python scripts/seo_optimizer.py blog_post.md "primary keyword" "secondary,keywords,list"Apply SEO Recommendations
- Adjust keyword density to 1-3%
- Ensure proper heading structure
- Add internal and external links
- Optimize meta description
Social Media Content Creation
Platform Selection
- Identify primary platforms based on audience
- Review platform-specific guidelines in
references/social_media_optimization.md
Content Adaptation
- Start with blog post or core message
- Use repurposing matrix from
references/content_frameworks.md - Adapt for each platform following templates
Optimization Checklist
- Platform-appropriate length
- Optimal posting time
- Correct image dimensions
- Platform-specific hashtags
- Engagement elements (polls, questions)
Content Calendar Planning
Monthly Planning
- Copy
assets/content_calendar_template.md - Set monthly goals and KPIs
- Identify key campaigns/themes
- Copy
Weekly Distribution
- Follow 40/25/25/10 content pillar ratio
- Balance platforms throughout week
- Align with optimal posting times
Batch Creation
- Create all weekly content in one session
- Maintain consistent voice across pieces
- Prepare all visual assets together
Key Scripts
brand_voice_analyzer.py
Analyzes text content for voice characteristics, readability, and consistency.
Usage: python scripts/brand_voice_analyzer.py <file> [json|text]
Returns:
- Voice profile (formality, tone, perspective)
- Readability score
- Sentence structure analysis
- Improvement recommendations
seo_optimizer.py
Analyzes content for SEO optimization and provides actionable recommendations.
Usage: python scripts/seo_optimizer.py <file> [primary_keyword] [secondary_keywords]
Returns:
- SEO score (0-100)
- Keyword density analysis
- Structure assessment
- Meta tag suggestions
- Specific optimization recommendations
Reference Guides
When to Use Each Reference
references/brand_guidelines.md
- Setting up new brand voice
- Ensuring consistency across content
- Training new team members
- Resolving voice/tone questions
references/content_frameworks.md
- Starting any new content piece
- Structuring different content types
- Creating content templates
- Planning content repurposing
references/social_media_optimization.md
- Platform-specific optimization
- Hashtag strategy development
- Understanding algorithm factors
- Setting up analytics tracking
Best Practices
Content Creation Process
- Always start with audience need/pain point
- Research before writing
- Create outline using templates
- Write first draft without editing
- Optimize for SEO
- Edit for brand voice
- Proofread and fact-check
- Optimize for platform
- Schedule strategically
Quality Indicators
- SEO score above 75/100
- Readability appropriate for audience
- Consistent brand voice throughout
- Clear value proposition
- Actionable takeaways
- Proper visual formatting
- Platform-optimized
Common Pitfalls to Avoid
- Writing before researching keywords
- Ignoring platform-specific requirements
- Inconsistent brand voice
- Over-optimizing for SEO (keyword stuffing)
- Missing clear CTAs
- Publishing without proofreading
- Ignoring analytics feedback
Performance Metrics
Track these KPIs for content success:
Content Metrics
- Organic traffic growth
- Average time on page
- Bounce rate
- Social shares
- Backlinks earned
Engagement Metrics
- Comments and discussions
- Email click-through rates
- Social media engagement rate
- Content downloads
- Form submissions
Business Metrics
- Leads generated
- Conversion rate
- Customer acquisition cost
- Revenue attribution
- ROI per content piece
Integration Points
This skill works best with:
- Analytics platforms (Google Analytics, social media insights)
- SEO tools (for keyword research)
- Design tools (for visual content)
- Scheduling platforms (for content distribution)
- Email marketing systems (for newsletter content)
Quick Commands
# Analyze brand voice
python scripts/brand_voice_analyzer.py content.txt
# Optimize for SEO
python scripts/seo_optimizer.py article.md "main keyword"
# Check content against brand guidelines
grep -f references/brand_guidelines.md content.txt
# Create monthly calendar
cp assets/content_calendar_template.md this_month_calendar.md
Source: aAAaqwq/AGI-Super-Team — distributed by TomeVault.
先判断是否适合
作者设计意图
作者的方法与取舍
边界和复核