# Customer Research Dv > customer-research-dv - Skill: `usmanskillsmd/customer-research-dv` (Agent Skill) - Install (CLI): `npx skillmds@latest add usmanskillsmd/customer-research-dv` - Raw SKILL.md: https://api.skillmd.com/api/skills/usmanskillsmd/customer-research-dv/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Research & Search - Author: usmanskillsmd (https://skillmd.com/u/usmanskillsmd) - Updated: 2026-09-22 - Page: https://skillmd.com/skills/usmanskillsmd/customer-research-dv --- # customer-research-dv # Customer Research & Validation Skill Customer Research Dv # Customer Research & Validation Skill Overview Customer Research Dv is a comprehensive agent skill designed for research workflows. It provides structured guidance and automation patterns that enable AI coding agents to handle customer research dv tasks with precision and reliability across diverse project environments. This skill encapsulates best practices gathered from production deployments and open-source communities. It covers the complete lifecycle from initial setup through advanced configuration, ensuring consistent results whether you are working on a greenfield project or integrating into an existing codebase. Built by openclaw, this skill follows the open SKILL.md standard and is compatible with all major AI coding tools including Claude Code, Cursor, Windsurf, Codex CLI, and ChatGPT. When to Use Activate this skill when the user needs to: Set up or configure customer research dv in a new or existing project Debug issues related to customer research dv implementation Follow best practices for research workflows Automate repetitive customer research dv tasks Review and improve existing customer research dv configurations Integrate customer research dv with research workflows and data analysis pipelines Core Capabilities Automated Setup & Configuration Generates complete configuration files with sensible defaults, proper directory structure, and environment-specific overrides. Includes inline documentation explaining each configuration choice and its tradeoffs. Intelligent Code Generation Produces idiomatic, production-ready code following established patterns and conventions. The generated code includes proper error handling, logging, type annotations, and test scaffolding out of the box. Debugging & Troubleshooting Systematically diagnoses common issues by analyzing error messages, log output, and configuration state. Provides step-by-step resolution guides with explanations of root causes to prevent recurrence. Performance Optimization Identifies bottlenecks and applies targeted optimizations based on measured data rather than assumptions. Tracks before/after metrics and documents the rationale behind each optimization decision. Example Prompts Users might ask: "Set up customer research dv for my project" "Debug why customer research dv is failing in CI" "Optimize the customer research dv configuration for production" "Add customer research dv support to the existing codebase" "Review my customer research dv setup and suggest improvements" "Migrate from the old customer research dv approach to the latest version" Configuration ParameterDefaultDescription modeautoAnalysis mode: exploratory, confirmatory, or reproducible output_dir./outputDirectory for generated files and artifacts verbosefalseEnable detailed logging for debugging stricttrueEnforce strict validation on all inputs timeout30000Maximum execution time in milliseconds retry_count3Number of retry attempts on transient failures Best Practices Start with defaults — The default configuration is optimized for the most common use cases. Override only what you need to change. Version control everything — Keep all configuration files and generated artifacts in version control for auditability and rollback capability. Test in isolation first — Validate changes in a sandboxed environment before applying them to shared or production systems. Document deviations — When you override defaults or apply custom configurations, document the reason in comments or a decisions log. Monitor after changes — After applying any configuration change, monitor system behavior for at least one full cycle to catch unexpected regressions. Keep dependencies updated — Regularly update dependencies and check for deprecation notices to avoid security vulnerabilities and compatibility issues. Common Patterns # Quick setup npx skills add openclaw/customer-research-dv # Verify installation skills verify customer-research-dv # Run with custom config skills run customer-research-dv --mode=auto --verbose Troubleshooting IssueCauseSolution Skill not foundPackage not installed or path incorrectRun npx skills add openclaw/customer-research-dv to reinstall Configuration errorInvalid parameter values or missing required fieldsRun skills validate customer-research-dv to check config Timeout exceededOperation taking longer than configured limitIncrease timeout parameter or optimize the operation Permission deniedInsufficient access to target files or directoriesCheck file permissions and ensure write access to output directory Integration Guide Follow these steps to integrate Customer Research Dv into your workflow: Install the skill using your preferred package manager (npx, bunx, or pnpm) Initialize configuration by running the setup wizard or copying the default config Customize settings based on your project requirements and team conventions Add to CI/CD by including the skill invocation in your pipeline configuration Set up monitoring to track skill execution results and catch failures early Output Format This skill produces structured output in the following format: { "status": "success", "skill": "customer-research-dv", "version": "1.0.0", "results": { "files_generated": 3, "warnings": [], "metrics": { "duration_ms": 1250, "memory_mb": 45.2 } } } Advanced Usage For power users and complex scenarios: Chaining skills — Combine this skill with related skills for end-to-end workflows using the skills chain command Custom templates — Override default templates by placing custom files in the .skills/templates/ directory Environment variables — Configure behavior via environment variables prefixed with SKILL_ for container-friendly deployments Hooks — Register pre/post execution hooks to run custom logic before or after the skill executes Dry run mode — Use --dry-run flag to preview changes without applying them Related Skills Skills that work well alongside Customer Research Dv: Browse more skills in the Research category Check the full category listing for complementary tools