Explores how to use the llm CLI tool within a script's shebang line by utilizing the env -S pattern. This approach allows plain text files to become executable via large language models, treating file contents as prompts. The article covers using flags like -f for fragments and -x for code extraction, integrating tools such as llm_time, and leveraging YAML templates with parameters or embedded Python tool functions to create highly functional scripts.
Main topics:
- Using env -S with the llm CLI
- Making text files executable via LLM
- Integrating tools within shebang lines
- Utilizing YAML templates for prompts
- Embedding Python functions in templates
Main topics:
- Using env -S with the llm CLI
- Making text files executable via LLM
- Integrating tools within shebang lines
- Utilizing YAML templates for prompts
- Embedding Python functions in templates
gogcli is a script-friendly Google Command Line Interface designed for terminals, shell scripts, CI/CD pipelines, and coding agents. It provides programmatic access to a wide range of Google services including Gmail, Calendar, Drive, Docs, Sheets, YouTube, Analytics, and Workspace admin flows. The tool features predictable JSON or plain output formats, supports multiple OAuth configurations (including service accounts), and includes robust safety mechanisms like command allowlists/denylists and read-only audit modes for sensitive data surfaces.
gitcrawl is a local-first GitHub triage tool and a drop-in caching shim for the gh CLI. It mirrors repository issues and pull requests into a local SQLite database, enabling semantic clustering and full-text search while preventing API rate limit exhaustion. This setup allows maintainers and AI agents to perform heavy read operations against a local cache rather than live GitHub servers.
Main features:
Local SQLite storage for all issue, PR, and commit metadata.
A gh-compatible shim that handles most read-only calls locally.
Semantic clustering using OpenAI embeddings to group related reports.
An interactive terminal UI for cluster browsing.
JSON support for easy automation with AI agents.
Main features:
Local SQLite storage for all issue, PR, and commit metadata.
A gh-compatible shim that handles most read-only calls locally.
Semantic clustering using OpenAI embeddings to group related reports.
An interactive terminal UI for cluster browsing.
JSON support for easy automation with AI agents.
This article explores the evolution of developer workflows, proposing that "skills" are becoming as essential as traditional Command Line Interfaces (CLIs). While CLIs are deterministic and require developers to provide all the necessary context, skills consist of simple Markdown files that teach AI agents how to operate within the specific context of a project.
By using YAML frontmatter and specific instructions, skills can orchestrate multiple tools like git, npm, and gh, adapting to project conventions and stack details automatically. The author argues that skills do not replace CLIs but rather sit on top of them, providing an orchestration layer that enables reasoning, adaptation, and complex multi-step workflows that traditional, static tools cannot achieve alone.
By using YAML frontmatter and specific instructions, skills can orchestrate multiple tools like git, npm, and gh, adapting to project conventions and stack details automatically. The author argues that skills do not replace CLIs but rather sit on top of them, providing an orchestration layer that enables reasoning, adaptation, and complex multi-step workflows that traditional, static tools cannot achieve alone.
One CLI for all of Google Workspace — built for humans and AI agents. Drive, Gmail, Calendar, and every Workspace API. Zero boilerplate. Structured JSON output. 40+ agent skills included.
Jules Tools has quietly joined Gemini CLI and GitHub Actions in Google's lineup. This article details how these command-line agents differ and provides examples of their use.
Augment Code joins the CLI coding agent race, positioning itself as and alternative to Claude Code with a focus on automation.
The article discusses how agentic LLMs can help users overcome the learning curve of the command line interface (CLI) by automating tasks and providing guidance. It explores tools like ShellGPT and Auto-GPT that leverage LLMs to interpret natural language instructions and execute corresponding CLI commands. The author argues that this approach can make the CLI more accessible and powerful, even for those unfamiliar with its intricacies.
Learning Lua, the world's simplest programming language, can enhance programming skills, increase exposure to computer science, and improve software design skills.
Hallux.ai provides open-source solutions leveraging Large Language Models (LLMs) to streamline operations and enhance productivity for Production Engineers, SRE, and DevOps. Offering cutting-edge CLI tools for Linux and MacOS, they automate workflows, accelerate root cause analysis, empower self-sufficiency, and optimize daily tasks.
