customer-support-analytics
Providing insights into support team performance, customer satisfaction, and operational efficiency through metrics, dashboards, real-time monitoring, and predictive analytics.
发现 区块链 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
Providing insights into support team performance, customer satisfaction, and operational efficiency through metrics, dashboards, real-time monitoring, and predictive analytics.
Implementing product analytics, metrics, and dashboards for data-driven product decisions
Tracking potential customers from initial contact through conversion, including lead capture, scoring, qualification, assignment, nurturing, and conversion processes.
Gathering, analyzing, and acting on user input through surveys, feedback widgets, rating systems, sentiment analysis, and integration with product roadmap to improve products and services.
Transforming raw data into actionable insights through reporting, analytics, and visualization using BI tools like Tableau, Looker, Power BI, and Metabase to support data-driven decision making.
Write data analysis reports where all quantitative information appears in programmatically-generated plots, never in hand-written text tables. Prevents AI from fabricating numbers by ensuring all values come fr...
Tracking deals through stages from initial contact to close, including pipeline design, deal progression, forecasting, probability calculation, and sales analytics.
Managing relationships with industry analysts, briefings, and research reports
Automates project setup with best practices including pre-commit hooks, linting, formatting, and boilerplate. Activates when creating new projects, missing configuration files, or setting up development environ...
Analyzes repositories for AI agent development efficiency. Scores 8 aspects (documentation, architecture, testing, type safety, agent instructions, file structure, context optimization, security) with ASCII das...
Extract, plan, or propose implementation details at configurable depth levels (low/normal/extensive). Outputs to reference files for team discussion and handoff.
Interactive code review for agent iterations. Captures comments, tracks resolution status, and integrates with git diffs.
Generator สำหรับสร้าง CI/CD pipeline configs (GitHub Actions, GitLab CI) พร้อม testing, linting, building และ deployment
Automated scripts for common repository tasks including setup, cleanup, dependency updates, and maintenance.
Multi-repository orchestration for coordinating atomic changes across dependent repositories. Tracks dependency graphs, coordinates cross-repo PRs, and detects breaking changes.
Centralized management of machine learning models throughout their lifecycle, including versioning, metadata, and production deployment.
Standardized local development environment setup ensuring consistency across team members and reducing "works on my machine" issues.
Manage semantic versioning, changelog generation, and release notes. Auto-generates entries from completed issues or git diff.
Standardized commit message formats and conventions for clear, searchable, and automated-friendly version control history.
Standardized development environment configuration including tools, IDE settings, and automation for consistent developer experience.
Development workflow for features, bugs, refactoring. Auto-activates for multi-file implementations.
Single source of truth for repository structure and entry points, including key directories, domain boundaries, shared code, integrations, and build/deploy references
Infrastructure as Code for IoT environments using Terraform, Ansible, and GitOps for scalable, reproducible infrastructure
Use when working with Docker containers, creating Dockerfile configurations, writing docker-compose files, setting up CI/CD pipelines with GitHub Actions, or managing infrastructure deployments.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。