Organize and persist project knowledge across agents using a nested INDEX structure.
npx skills add https://github.com/sss-hust/skills --skill project-knowledge-sss-hust
Please help me install this Agent Skill. Skill: project-knowledge Source: https://github.com/sss-hust/skills/tree/main/project-knowledge Command: npx skills add https://github.com/sss-hust/skills --skill project-knowledge-sss-hust
The hierarchical knowledge base in the repository enables efficient knowledge sharing across multiple AI agents and conversation turns, helping teams onboard, preserve decisions, and maintain context across projects.
Initialize the knowledge base by creating the .knowledge directory with its templates and fill the top INDEX.md to start documenting the project context.
High-intent search queries and answers about installing and using this skill.
You can share project context across multiple AI agents by maintaining a hierarchical knowledge base in a repository. This enables efficient knowledge sharing and preserves decisions across different conversation turns.
The best way to persist project knowledge for continuous onboarding is using a nested, INDEX-driven directory structure. This exposes entry points for progressive loading and enables phase-guided reading workflows.
You cold-start context by triggering explicit reads from the repository's knowledge base during onboarding. The system then continuously updates this knowledge base through automatic write triggers as discoveries happen during development.
Yes, you can organize and persist project knowledge for AI agents without external dependencies. You simply initialize a directory with templates and fill the top-level INDEX file to start documenting project context.
You need a nested INDEX-based structure for project documentation when managing large repositories that require progressive loading. It allows focused queries and efficient context cold-starts across different development phases.
Project knowledge gets lost across conversation turns when there is no persistent repository structure to store decisions. An INDEX-driven knowledge base solves this by automatically writing discoveries as they happen.
paradox123Collect repository structure, runnable commands, and architecture anchors at startup.
BasharAmsoGenerate SKILL.md templates with conflict checks and registry updates.
consultantvisionCapture verified agent responses and persist them as Markdown knowledge artifacts.
AVIDS2Maintain nested project memory contexts for AI coding agents across sessions.
