Giant Swarm
Official@giantswarm · Germany
An open source Kubernetes-based Cloud Native Management Platform
Agent Skills by Giant Swarm
Showing 10 vetted skills indexed across 1 GitHub repositories.
giantswarmpublish-crd-reference
Generate and maintain CRD reference pages from a configuration file.
giantswarmassess-readability
Measure English readability of documentation pages using Flesch, Kincaid, Gunning Fog, and LIX metrics.
giantswarmfix-external-links
Detects and repairs broken external links in web applications.
giantswarmexport-csv
Generate a CSV inventory of documentation pages from Markdown frontmatter.
giantswarmimprove-style
Apply style fixes and run Vale prose linting on markdown files.
giantswarmfix-internal-links
Identify and report broken internal links in documentation sites.
giantswarmclassify-diataxis
Classify documentation pages into Diátaxis type categories.
giantswarmwrite-observability-docs
Automate creation and editing of Giant Swarm observability documentation pages.
giantswarmfind-style-issues
Identify style issues in Markdown documentation files with Vale checks.
giantswarmexport-to-miro
Create Miro boards from CSV inventories of web pages.
Frequently Asked Questions About Giant Swarm
FAQPage SchemaWhat documentation tasks can be managed using these capabilities?▼
These capabilities enable the systematic classification of documentation via Diátaxis, the generation of CRD reference pages, and the enforcement of prose style standards. You can also perform comprehensive link integrity audits and generate structured inventories of markdown-based content for project documentation.
Which technical personas benefit from these documentation standards?▼
Technical writers, developer advocates, and site reliability engineers managing complex cloud-native ecosystems benefit most. These capabilities are designed for teams maintaining large-scale documentation repositories who require consistent formatting, accurate cross-referencing, and high readability standards for their technical end-users.
What are the prerequisites for implementing these documentation standards?▼
Implementation requires a repository structure utilizing Markdown files with standardized frontmatter. The system relies on Vale for prose linting and requires access to the specific configuration files used for CRD reference generation to ensure accurate output for your infrastructure documentation.