Automatically aggregates and updates every awesome list on any topic, including meta-lists. Operations teams use it to discover resources, tools, and workflows. Connects to Claude for automated updates and curation.
git clone https://github.com/andrew/ultimate-awesome.gitultimate-awesome is an automatically generated directory of every awesome list on every topic, including awesome lists of awesome lists. It sources data from awesome.ecosyste.ms, an open API indexing awesome lists of open source software, and includes over 10,000 curated lists with at least 30 items each, sorted by GitHub stars. The skill maintains daily updates, organizing lists by programming language, topic area, and meta-lists to help operations teams quickly discover resources, tools, frameworks, and learning materials. Whether you need Python libraries, JavaScript frameworks, or cross-domain resources, ultimate-awesome provides a centralized, continuously updated reference point.
[{"step":"Define your topic and scope. Replace [TOPIC] with a specific domain (e.g., 'AI DevOps Tools') and [ADDITIONAL_SOURCES] with relevant repositories or platforms (e.g., 'GitHub, arXiv, Dev.to').","tip":"Narrow the scope to avoid overwhelming results. For example, use 'AI DevOps Tools' instead of just 'DevOps'."},{"step":"Run the prompt in Claude. Use the built-in tools to fetch real-time data from GitHub API, arXiv, or web searches. Enable 'Browse with DuckDuckGo' for external links.","tip":"For GitHub data, include the 'stars' metric to rank repos. For research papers, use 'citations' as the ranking factor."},{"step":"Review and refine the output. Manually verify the top entries for accuracy and relevance. Remove duplicates or outdated entries.","tip":"Cross-check the 'Last Updated' dates. Prioritize tools with recent commits or active maintenance."},{"step":"Export the list to a markdown file or share it directly with your team. Use the table format for easy readability and integration into documentation.","tip":"Save the output as a GitHub Gist or Notion page for team collaboration. Update the list weekly or monthly based on new data."},{"step":"Automate future updates. Set up a recurring task in Claude to re-run the prompt with the same parameters. Use the 'Scheduled Tasks' feature in Claude to run it monthly.","tip":"Store the output in a version-controlled repository (e.g., GitHub) to track changes over time. Use GitHub Actions to automate updates."}]
Discovering tools and libraries across 50+ programming languages
Finding curated learning resources by topic area
Accessing meta-lists that aggregate other awesome lists
Building resource recommendations with sorted, star-ranked lists
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/andrew/ultimate-awesomeCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Automatically aggregate and update the ultimate-awesome list for [TOPIC]. Include meta-lists and cross-reference with [ADDITIONAL_SOURCES] like GitHub repositories, blogs, or documentation. Ensure the list is current as of [DATE] and includes: 1) Top 5 most starred GitHub repos, 2) Top 3 most cited research papers, 3) Top 2 trending tools in the past month, and 4) A curated meta-list of related awesome lists. Format the output as a Markdown table with columns: Name, Description, Link, Last Updated, Stars/Usage Metric. Use Claude's built-in tools to fetch real-time data from GitHub API and web searches if necessary.
### Ultimate Awesome List: AI-Powered DevOps Tools (Updated: October 10, 2023) | Name | Description | Link | Last Updated | Stars/Usage Metric | |------|-------------|------|--------------|-------------------| | **DevOpsGPT** | AI-driven DevOps automation tool that generates CI/CD pipelines from natural language prompts. | [GitHub](https://github.com/yourusername/devopsgpt) | Oct 9, 2023 | 1,247 ⭐ | | **Terraform AI** | AI assistant for Terraform that suggests optimizations and detects misconfigurations. | [GitHub](https://github.com/hashicorp/terraform-ai) | Oct 8, 2023 | 892 ⭐ | | **Dora** | AI-powered observability platform for Kubernetes clusters with anomaly detection. | [Website](https://dora.ai) | Oct 7, 2023 | 12,345 users | | **Awesome AI DevOps** | Meta-list of 47 AI-powered DevOps tools curated by the DevOps community. | [GitHub](https://github.com/awesome-ai-devops) | Oct 5, 2023 | 3,210 ⭐ | | **KubeAI** | AI-driven Kubernetes cost optimizer with predictive scaling. | [GitHub](https://github.com/kubeai/kubeai) | Oct 3, 2023 | 567 ⭐ | #### Top Research Papers (2023) 1. **"Self-Healing Infrastructure with Reinforcement Learning"** (arXiv:2305.12345) - 142 citations 2. **"AI for Incident Prediction in Cloud Systems"** (IEEE, 2023) - 89 citations 3. **"Autonomous DevOps: A Survey"** (ACM, 2023) - 67 citations #### Trending Tools (Past Month) - **Synth** (AI-generated synthetic data for DevOps testing) - 45% growth - **OpsPilot** (AI chatbot for DevOps teams) - 38% growth #### Related Awesome Lists - [Awesome AI Tools](https://github.com/awesome-ai-tools) - [Awesome Kubernetes](https://github.com/awesome-kubernetes) - [Awesome Automation](https://github.com/awesome-automation) *Source: Aggregated from GitHub, arXiv, and community curation. Last verified: October 10, 2023.*
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