when-not-to-use
🎯Skillfrom tracemem/tracemem-skills
|Guides AI agents on identifying scenarios and contexts where using TraceMem would be inappropriate, risky, or ineffective.
Installation
npx skills add https://github.com/tracemem/tracemem-skills --skill when-not-to-useSkill Details
Overview
# TraceMem Skills
This repository contains skill definitions for using TraceMem correctly and safely with AI agents.
These skills are designed for use with agent frameworks that support skill files,
including https://skills.sh/.
What These Skills Are
- Declarative instructions for agents
- Encode correct TraceMem usage patterns
- Emphasize safety, approvals, and governance
What These Skills Are Not
- SDK documentation
- API reference
- Marketing material
How to Use
Agents should load the skill files in skills/ as part of their instruction set.
You may:
- Use all skills
- Select a subset
- Fork and customize
Versioning
Skills evolve over time as TraceMem evolves.
See the VERSION file for the current skill set version.
Links
- TraceMem: https://www.tracemem.com
- Documentation: https://www.tracemem.com/docs
More from this repository9
Guides AI agents in establishing safe decision-making boundaries and approval workflows when interacting with TraceMem memory systems.
Provides a concise, high-level explanation of TraceMem's purpose, core functionality, and key usage guidelines for AI agents.
Enables systematic logging, tracking, and auditing of memory access traces for compliance, security monitoring, and forensic analysis in AI systems.
Guides AI agents in identifying, understanding, and mitigating potential safety risks and failure scenarios when using TraceMem memory systems.
Guides agents on safely writing data to TraceMem storage with appropriate permissions, validation, and governance checks.
Guides AI agents on safely and correctly retrieving and reading data from TraceMem memory storage systems with appropriate access controls and governance protocols.
Manages and enforces approval workflows for TraceMem memory access requests, ensuring controlled and authorized interactions with sensitive memory resources.
Guides AI agents in understanding user intent, automating workflows, and ensuring appropriate, safe execution of tasks within the TraceMem system.
Manages contextual note-taking and tracking for AI agents, providing guidelines for maintaining organized, relevant, and safe memory annotations within TraceMem.