Classify flat markdown docs and propose migrations to .claude/context/.
npx skills add https://github.com/erclx/aitk --skill migration-context
Please help me install this Agent Skill. Skill: migration-context Source: https://github.com/erclx/aitk/tree/main/claude/skills/migration-context Command: npx skills add https://github.com/erclx/aitk --skill migration-context
This skill resolves the fragmentation of project documentation by identifying and relocating agent-flavored content from standard docs folders into a structured .claude/context/ directory.
Run the migration-context skill to analyze your current docs directory and generate a proposal for moving agent-flavored files to the context folder.
High-intent search queries and answers about installing and using this skill.
Classify and migrate project documentation by scanning flat markdown files to identify agent rules, conventions, and seed-derived configurations, generating a proposal to relocate them into a structured context directory without modifying files directly.
The three-tier context model organizes agent-flavored content by distinguishing agent-specific rules, seed-derived configurations, and human-facing tutorials, ensuring AI agents access consistent conventions within a dedicated context directory.
Prevent accidental overwrites during documentation migration by using built-in conflict detection, which checks for existing files and reports potential naming collisions before proposing any file relocation.
Yes, you need git and the aitk CLI installed to perform automated file discovery and conflict checking, enabling the skill to scan your docs directory and propose moving agent-flavored files without modifying them directly.
Yes, you can automate this separation by scanning markdown files to distinguish between agent-specific rules, seed-derived configurations, and human-facing tutorials, generating a structured migration proposal for the context directory.
Standardize project docs by analyzing your current directory and generating a relocation proposal that identifies agent-flavored content, checking for naming collisions to ensure existing file structures remain intact without direct modifications.
marchattonList markdown files in the docs directory and summarize their frontmatter.
rpelizzaMaps project-specific domain logic and architectural constraints for AI agents.
nicolehaugenImplement a three-tier memory model with hot, cold, and wiki tiers.
m00spGenerate GitHub Flavored Markdown README.md files for software projects.
