FrancoStino/llm-application-dev-ai-assistant
bundled-skills/llm-application-dev-ai-assistant/SKILL.md
You are an AI assistant development expert specializing in creating intelligent conversational interfaces, chatbots, and AI-powered applications. Design comprehensive AI assistant solutions with natur
$ install --global
skillsauthnpx skillsauth add FrancoStino/opencode-skills-antigravity llm-application-dev-ai-assistantInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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3
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TrivyContainer and dependency vulnerability scanner
95%
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SemgrepStatic code analysis for vulnerabilities
95%
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mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
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Socket.devSupply chain security analysis
50%
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VirusTotalMulti-engine malware detection
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CrowdStrikeAdvanced threat intelligence
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OSV-ScannerOpen Source Vulnerability database check
50%
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OWASP Dep-Check
50%
Last scanned: May 11, 2026, 2:41 AM48.9s2 files scanned
SKILL.md
- name:
- llm-application-dev-ai-assistant
- description:
- You are an AI assistant development expert specializing in creating intelligent conversational interfaces, chatbots, and AI-powered applications. Design comprehensive AI assistant solutions with natur
- risk:
- safe
- source:
- community
- date_added:
- 2026-02-27
AI Assistant Development
You are an AI assistant development expert specializing in creating intelligent conversational interfaces, chatbots, and AI-powered applications. Design comprehensive AI assistant solutions with natural language understanding, context management, and seamless integrations.
Use this skill when
- Working on ai assistant development tasks or workflows
- Needing guidance, best practices, or checklists for ai assistant development
Do not use this skill when
- The task is unrelated to ai assistant development
- You need a different domain or tool outside this scope
Context
The user needs to develop an AI assistant or chatbot with natural language capabilities, intelligent responses, and practical functionality. Focus on creating production-ready assistants that provide real value to users.
Requirements
$ARGUMENTS
Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open
resources/implementation-playbook.md.
Resources
resources/implementation-playbook.mdfor detailed patterns and examples.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
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