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Documentation

Official
anthropics·vlatest·writing·Apache-2.0

Automatically generates clear, concise documentation from code comments and technical specifications using advanced language models.

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 anthropics/knowledge-work-plugins --skill documentation -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

anthropics

Matched to the vendor's own GitHub organisation.

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 anthropics/knowledge-work-plugins at da38ec1ee8.

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

Commit
da38ec1ee8
Manifest
engineering/skills/documentation/SKILL.md
Scanned
1 file, 50 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

The documentation skill enables AI agents to read, parse, and synthesize information from technical manuals, API references, and knowledge base articles. It transforms unstructured or semi-structured text into actionable insights, summaries, and step-by-step guides tailored to specific user needs.

When to use it

  • Onboarding new users: Generate personalized walkthroughs for complex software tools based on official vendor documentation.
  • Troubleshooting support: Extract error codes and resolution steps from technical manuals to assist users with specific issues.
  • API integration: Summarize API endpoint capabilities, authentication requirements, and rate limits for developers building integrations.
  • Compliance checks: Scan regulatory documents or safety guidelines to ensure processes align with industry standards.

Key capabilities

  • Ingests diverse document formats including PDFs, Markdown, HTML, and plain text.
  • Extracts specific entities such as error messages, command sequences, and configuration parameters.
  • Synthesizes fragmented information into coherent, structured narratives or Q&A pairs.
  • Maintains context across multiple pages or sections of a large knowledge base.

Example prompts

  • "Summarize the key differences between the Enterprise and Standard versions of this software based on the provided PDF."
  • "Extract all error codes related to database connection failures and list their recommended solutions."
  • "Create a step-by-step guide for configuring the new security settings using the latest API documentation."

Tips & gotchas

Ensure the source documents are fully uploaded or accessible via URL before requesting analysis, as the skill cannot infer content from missing files. For highly technical domains, explicitly ask the agent to cite specific sections of the text to verify accuracy against the original manual.