advanced-skill-creator

---

name: advanced-skill-creator description: Advanced OpenClaw skill creation handler that executes the official 5-step research flow with comprehensive analysis and best practices. Ensures proper methodology when users request to create or modify OpenClaw/Moltbot/ClawDBot skills following official standards. when: "When user mentions '写一个触发', '写skill', 'claw skill', 'openclaw skill', 'moltbot skill', '创建技能', '写一个让它...', or any request related to creating or modifying Claw系 skills" examples: - "写一个触发监控系统" - "写skill让它发送通知" - "创建claw skill提醒功能" - "创建openclaw skill翻译功能" - "moltbot skill定时任务" - "创建技能备份数据" - "写一个让它自动回复的技能" - "写一个触发定时任务的技能" - "创建天气查询技能" - "写一个让它管理日程的技能" metadata: { "openclaw": { "requires": { "bins": ["python3", "bash"], "anyBins": ["python3", "python"] }, "emoji": "⚡", "primaryEnv": null } }

---

Advanced Skill Creator

Advanced skill creation handler that executes the official 5-step research flow with comprehensive analysis and best practices. Ensures proper methodology and standards compliance by following the complete research process, applicable to all timeframes and use cases.

When to use

When user mentions "写一个触发", "写skill", "claw skill", "openclaw skill", "moltbot skill", "创建技能", or "写一个让它..."

When proper skill creation methodology needs to be followed according to official standards

When ensuring adherence to 5-step research flow (documentation, ClawHub, community, fusion, output)

For comprehensive skill analysis and creation with best practices

5-Step Research Flow Execution

Step 1: Consult Official Documentation

Comprehensively access official documentation:

https://docs.clawd.bot/tools/skills

https://docs.openclaw.ai/tools/skills

/tools/clawhub

/tools/skills-config

Extract key information:

SKILL.md format requirements

YAML frontmatter specifications (name, description, when, examples, metadata.openclaw.*, requires)

Trigger mechanisms (natural language triggers, when conditions)

Tool calling conventions (exec, browser, read, write, nodes, MCP)

Loading precedence (workspace > ~/.openclaw/skills > bundled)

ClawHub installation methods

Breaking changes (latest versions)

Step 2: Research Related Public Skills on ClawHub/ClawdHub

Thoroughly query ClawHub/ClawdHub for relevant skills:

Search keywords: weather, reminder, schedule, translate, image, cron, memory, task-tracker, notification, backup, automation

Select 2-4 most relevant skills with high downloads/recent updates/community ratings

Analyze:

- Trigger descriptions (when, examples) - YAML metadata - Pure Markdown vs. scripts/ structure - Dependency declarations - Error handling recommendations - Community feedback (why popular or criticized) - Security considerations

Step 3: Search Best Practices

Use comprehensive keyword combinations for GitHub searches:

"OpenClaw SKILL.md" OR "ClawDBot skill example" OR "Moltbot create skill"

"SKILL.md" "when:" OR "metadata.openclaw" site:github.com

"clawhub install" "custom skill" OR "openclaw skill tutorial"

"skill security" OR "prompt injection prevention" OR "skill best practices"

Focus on:

Active GitHub repositories

Recent commits

Blog/Reddit/X content

Security best practices

Known security pitfalls (prompt injection, exec abuse)

Step 4: Solution Fusion & Comparison

Comprehensively summarize implementation approaches from all three sources: Compare across key dimensions:

Trigger precision (false positive rate)

Maintainability/readability

Loading speed/memory impact

Compatibility (different gateways/channels/versions)

Security & error isolation

Upgrade friendliness (dependency on specific tools)

Dependency management complexity

Performance optimization

Error handling robustness

Select optimal solution for current context with 4-7 clear reasons prioritized:

Official documentation > High-quality ClawHub skills > Active community solutions > Self-optimization

Step 5: Proper Output Structure

Output must follow exact structure without adding extra headers or showing raw search logs:

Use the exact headings: 【最终推荐方案】, 【文件结构预览】, 【完整文件内容】

Provide complete file contents with proper formatting

Include tree-style directory structure preview

Use proper YAML frontmatter in SKILL.md examples

Ensure comprehensive documentation

Resource Utilization

Documentation Features Utilized

YAML frontmatter format (name, description, when, examples, metadata.openclaw.*)

Trigger mechanism definition (when field)

Example specification (examples field)

Metadata definition (metadata.openclaw.requires)

Standardized skill description structure

Skills Referenced

system-monitor: Structure and functional organization

security-monitor: Metadata definition format

integrated-system-monitor: Script organization and implementation

Other existing skills: YAML frontmatter best practices

Community Practices Integrated

GitHub popular OpenClaw skill project structures

Community-recommended security practices (input validation, error handling)

Optimal metadata configuration methods

Effective trigger word definition patterns

Custom Scripts Created

advanced_skill_processor.py: Implements complete 5-step research flow automation

- Automated documentation query, public skill research, best practice search - Solution fusion and comparison functionality - Standardized output generation - Error handling and logging features

Implementation Requirements

1. Execute all 5 steps in strict sequence - no skipping allowed 2. Do not rely on memory or "approximately correct" code 3. Demonstrate research → comparison → selection logical chain 4. Show evidence of consulting official documentation 5. Include proper metadata and security considerations 6. Provide complete, functional skill implementations with proper structure 7. Ensure all outputs follow the exact template structure required 8. Apply universally regardless of timeframe or version 9. Include security best practices and error handling 10. Provide comprehensive examples and use cases 11. Include system prompt integration for enhanced AI interaction 12. Incorporate thinking model framework for improved decision-making

System Prompt Integration

When creating new skills, include system prompt elements that enhance AI interaction:

"You are now an OpenClaw (formerly ClawDBot / Moltbot) skill development expert, implementing advanced thinking models for enhanced decision-making. Apply structured cognitive processing while balancing speed and accuracy based on specific situational requirements."

Skill Creation Guidelines

Apply the multi-stage cognitive processing pipeline during skill design

Integrate memory systems for continuous learning and improvement

Balance speed optimization with accuracy enhancement in skill functionality

Include appropriate system prompts for AI assistants using the skill

Document decision-making processes for future reference and learning