Automate repository augmentation with knowledge graphs, CLAUDE.md, and Cursor rules.
npx skills add https://github.com/ignidus/iscagent --skill repo-augmentation
Please help me install this Agent Skill. Skill: repo-augmentation Source: https://github.com/ignidus/iscagent/tree/main/skills/repo-augmentation Command: npx skills add https://github.com/ignidus/iscagent --skill repo-augmentation
End-to-end pipeline to augment any repository for AI-assisted development. Installs opinionated engineering workflows, generates documentation, and configures Claude Code or Cursor.
Clone this repository and run the augmentation workflow to produce the knowledge graph, docs, and configuration artifacts.
High-intent search queries and answers about installing and using this skill.
To make a codebase agent-ready, you can run an end-to-end augmentation workflow that generates a knowledge graph, maps architecture, and outputs CLAUDE.md and Cursor rules to configure AI-assisted development.
Repository augmentation for AI-assisted development is an automated process that applies engineering workflows, generates documentation, and configures tools like Claude Code by mapping architecture and creating a project-specific knowledge graph.
Yes, the workflow orchestrates codebase understanding to generate comprehensive documentation and onboarding material specifically designed for agent usage, providing a validated, ready-to-deploy project blueprint for onboarding teams.
Yes, the augmentation process installs a curated set of Claude Code and Cursor skills alongside project-specific rules, directly outputting the necessary CLAUDE.md and Cursor rules files to configure the environment.
The best way to generate a knowledge graph from an existing codebase is to run an automated augmentation workflow that maps the architecture, validates the output, and produces the configuration artifacts required for AI agents.
No external dependencies are required to run the repo augmentation workflow; you can clone the repository and execute the workflow directly to produce the knowledge graph, documentation, and configuration artifacts.
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