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AutoCLI gives scripts and AI agents a single command-line interface for retrieving information from dozens of websites, controlling supported desktop apps, and passing through local tools such as gh or kubectl. Public commands run directly, while authenticated sites reuse an existing Chrome session through the companion extension. Users can also define YAML adapters or generate and sync new adapters through AutoCLI.ai, and the core tool ships as a standalone binary.

Give mimeo a person’s name and it searches public essays, talks, interviews, and other sources, distills recurring principles, and writes a SKILL.md, an AGENTS.md file, or both for a coding agent. It can verify extracted quotes and refine drafts through critique passes. Parallel and OpenRouter API keys are required, with extra dependencies for local podcast transcription.

Vexor creates reusable semantic indexes over files and source code so users can locate relevant material with natural-language queries. The same engine is available through a CLI, a Python API, and a built-in MCP server, with configurable embedding and reranking providers, hybrid keyword-plus-semantic ranking, and fully local model options. For agents such as Claude Code or Codex, the included skill and MCP server expose the same core search capability, so a workflow generally needs only one of those integrations.

paper-fetch is a dependency-free Python CLI and agent skill that resolves a DOI—or a title first matched through Crossref and Semantic Scholar—into a PDF using a multi-source fallback chain. It supports batch files or stdin, NDJSON streaming, idempotent retries, consistent filenames, and checks for SSRF, valid PDF bytes, and size limits. The final fallbacks can include publisher access and Sci-Hub mirrors, which are enabled by default as a last resort, so users should review source selection and their access rights.