Tendr Skill: Deterministic CLI Operations for Agent Memory Management

Tendr Skill is an Agent Skill that follows the AgentSkills specification, designed to provide structured long-term memory for AI coding agents without the inefficiencies of traditional approaches.

Key Details

The tool addresses a common problem in agent memory setups where agents perform their own file operations (reading, parsing, rewriting markdown files). This approach burns tokens and allows errors to compound over multiple sessions.

Tendr Skill separates reasoning from execution: the agent decides what needs to change, while a CLI tool handles the structural operations deterministically. This enables operations like renaming a concept across fifty files with just one command, using zero tokens and eliminating drift.

The skill supports [[wikilinks]], allowing agents to understand how concepts relate to other concepts. It also supports an explicit semantic hierarchy across files, giving agents not just knowledge that a concept exists, but also a sense of intended abstractions and generalizability.

The skill works with Claude Code, Claude.ai, or any agent that reads markdown. It's available on GitHub and has a full write-up explaining its implementation and use cases.