decision-logger

Editorial and source context

What this Skill does

Decision Logger is a source-indexed Agent Skill for ai agents & models work. Based on the SKILL.md description, it focuses on two-layer memory architecture for board meeting decisions. Use the linked GitHub file to confirm scope and prerequisites before enabling it.

What the author says

Two-layer memory architecture for board meeting decisions. Manages raw transcripts (Layer 1) and approved decisions (Layer 2). Use when logging decisions after a board meeting, reviewing past decisions with /cs:decisions, or checking overdue action items with /cs:review. Invoked automatically by the board-meeting skill after Phase 5 founder approval.

Compatibility and requirements

• Use an agent runtime that supports Agent Skills and the linked SKILL.md format.
• Confirm the source repository's tools, SDKs, and platform prerequisites for ai agents models work.

How to install or import it

• Open the linked GitHub SKILL.md and review its scope and setup instructions.
• Install or import the skill using the agent runtime's documented workflow.
• Run a small, non-sensitive test and verify the output before broader use.

Permissions and risks

• Review every command, file path, network request, dependency, and credential scope before enabling it.
• GitHub stars indicate popularity, not safety or correctness; validate the source and test with non-sensitive data.

Example workflows

• Ask an AI agent to apply Decision Logger to ai agents models work described in the source record.
• Have the agent state assumptions, required tools, and expected output before using this ai agents & models skill.
• Compare the result with the linked GitHub SKILL.md and verify it against your project requirements.