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    Tool Discovery

    1

    Find and rank software tools based on specific constraints, live repository data, and functional requirements.

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    Tool Discovery

    Tool Discovery

    Example session with this skill installed

    Find 4 open-source tools to convert OneNote files to Markdown. Must run on Linux CLI, work offline, and be MIT or Apache-2.0 licensed. include 'onenote-md-exporter' in the search.

    • Read your context and instructions
    • Compiled the tool discovery

    I have evaluated 5 candidates for OneNote to Markdown conversion based on your Linux CLI and offline requirements.

    Job

    Convert OneNote to Markdown. platform=linux must_cli=yes as_of=2024-05-20

    Recommendation: onenote-parser

    Why: This is the only candidate that parses the .one binary format directly in a Linux environment without requiring a Windows-only COM interface or a Microsoft Graph API connection. It is actively maintained with a recent commit in April 2024.
    Cite: https://github.com/example/onenote-parser

    Ranked table

    RankToolStarsLast commitPlatformCLILicenseNot for
    1onenote-parser8402024-04-12Cross-platformYesMITCloud-only notes
    2convert-one1.2k2023-11-05Linux/macOSYesApache-2.0Batch processing
    3onenote-md-exporter1502022-01-10Windows/LinuxYesMITProduction stability
    4note-migrate-gui2.1k2024-05-01Linux (Electron)NoGPL-3.0Headless/Cron jobs

    Also considered

    • ms-onenote-python: Eliminated. Requires active Microsoft Azure tenant and internet connection for Graph API.
    • one-to-md-win: Eliminated. Requires Windows COM+ and local OneNote installation.

    Sources

    Next steps

    1. Review the onenote-parser README for specific .one version compatibility.
    2. Verify if your local files are the newer package format or legacy binary files.
    3. Test the CLI output against a sample .one file to check for image embedding support.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Find active open-source alternatives to proprietary software tools.Evaluate libraries based on license compliance and maintenance health.Identify CLI tools that fit specific headless server requirements.Filter candidates by platform support and offline capabilities.

    About this skill

    The problem

    Finding the right tool for a specific engineering task usually involves wading through stale blog posts, affiliate-heavy roundups, and misleading star counts. Developers often waste hours trial-installing software only to find it lacks a CLI or requires a GUI on a headless server.

    What it does

    • Performs multi-vector searches across code hosts and the open web to find candidates for a specific job.
    • Extracts structured metadata for every tool, including license type, last commit date, and platform support.
    • Enforces hard filters for constraints like offline capability, CLI availability, and specific license requirements.
    • Generates a ranked comparison table that prioritizes functional fit and maintenance health over raw popularity.
    • Identifies "not for" scenarios for every tool to prevent architectural mismatches.

    Why this beats prompting it yourself

    Generic LLM prompts often hallucinate features or rely on training data that misses recent repository activity. This skill forces the agent to fetch live repository metadata, check actual license files, and verify the last commit date before making a recommendation.

    Use cases

    • Finding an open-source, MIT-licensed CLI tool for a specific file conversion.
    • Comparing cross-platform system monitors that don't require a cloud account.
    • Researching migration paths between two technologies for a headless environment.
    • Shortlisting libraries based on active maintenance and specific language runtimes.

    Known limitations

    Requires an agent with HTTP access and web search capabilities. Star counts and commit dates are point-in-time snapshots based on the provided date stamp.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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    • Passed all security checks, Safe to install

    Listed1 day ago

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