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Long Context

Checked
davila7·vlatest·writing·MIT

This "Long Context" skill extends conversation history, enabling more nuanced and coherent interactions by retaining & utilizing larger amounts of prior dialogue.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add davila7/claude-code-templates --skill long-context -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

davila7

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned davila7/claude-code-templates at 79182c51fb.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
79182c51fb
Manifest
cli-tool/components/skills/ai-research/emerging-techniques-long-context/SKILL.md
Scanned
4 files, 1,901 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The long-context skill enables AI agents to process and understand extended text inputs, allowing them to handle complex queries or lengthy documents with greater accuracy. It enhances the agent's ability to maintain context across large volumes of information, making it ideal for tasks that require deep comprehension over long passages.

When to use it

  • Analyzing lengthy legal documents or contracts where context is critical.
  • Summarizing extended research papers or technical reports.
  • Engaging in multi-turn conversations with detailed follow-up questions.

Key capabilities

  • Processing and retaining context from large text inputs.
  • Enhancing accuracy in understanding complex, extended queries.
  • Supporting deep analysis of long-form content such as articles, essays, or documentation.

Example prompts

  • "Summarize this 50-page research paper on climate change."
  • "What are the key arguments presented in this legal brief?"
  • "Explain the main points from this technical manual section by section."

Tips & gotchas

  • Ensure that the input text is well-structured and free of excessive formatting to maximize performance.
  • Be mindful of system limitations—extremely long documents may require chunking or segmentation for optimal processing.