Guideline Generation
OfficialGenerates clear, actionable guidelines from text inputs to ensure consistent adherence to specified principles or standards.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add anthropics/knowledge-work-plugins --skill guideline-generation -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto 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.
Automated safety checks
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
- Scanned
- 3 files, 509 lines
About this skill
The guideline-generation skill transforms raw text, codebases, or documentation into structured, actionable guidelines tailored to specific organizational standards. It analyzes input context to produce consistent rules for style, security, or operational procedures without requiring manual drafting.
When to use it
- Standardizing coding styles across a large repository by generating linting rules from existing best practices.
- Creating safety protocols for AI agents based on internal company policies and compliance requirements.
- Automating the creation of style guides for technical writers using existing documentation as a reference.
- Deriving operational checklists from unstructured meeting notes or project requirement documents.
Key capabilities
- Converts diverse input formats (text, code, docs) into structured guideline outputs.
- Tailors generated rules to match specific organizational contexts and constraints.
- Ensures consistency in formatting, tone, and technical requirements across large datasets.
Example prompts
- "Analyze this Python codebase and generate a style guide that enforces PEP 8 while adding our team's specific logging conventions."
- "Review these internal security policies and create a set of operational guidelines for deploying AI agents in production environments."
- "Extract formatting rules from this technical documentation set and output them as a markdown checklist for new contributors."
Tips & gotchas
Ensure the input data is comprehensive, as the quality of generated guidelines depends heavily on the clarity and completeness of the source material. Review outputs carefully to verify they align with nuanced organizational culture before enforcing them broadly.