manage-memory-capture

Capture session memory entries into Markdown files and a structured JSON index.

511|63|Updated Mar 17, 2026
One-click install
npx skills add https://github.com/catlog22/Maestro-Flow --skill manage-memory-capture
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: manage-memory-capture
Source: https://github.com/catlog22/Maestro-Flow/tree/main/.codex/skills/manage-memory-capture
Command: npx skills add https://github.com/catlog22/Maestro-Flow --skill manage-memory-capture

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Capture scattered session context and decisions into durable, searchable files so multi-agent workflows and future contributors can quickly understand past work and pending tasks.

Core Features & Use Cases

  • Compact mode: compresses full-session context into a structured markdown entry with Objective, Key Decisions, Files Modified, Execution Plan, Pending Work, and Context Notes.
  • Tip mode: creates quick timestamped notes with tags for lightweight reminders or actionable tips.
  • Indexing and retrieval: appends metadata to .workflow/memory/memory-index.json for fast lookup and programmatic consumption.
  • Use Case: checkpoint a complex phase of a multi-agent execution so the Commander or future sessions can resume with a concise context summary.

Quick Start

Capture a compact memory of the current session titled Full auth implementation session.

Frequently Asked Questions about manage-memory-capture

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I capture session context and decisions into searchable files for multi-agent workflows?

Capture session context into durable Markdown files and a structured on-disk index to track decisions, modified files, and pending tasks for future contributors. It writes entries into .workflow/memory/ and updates memory-index.json for fast lookup and programmatic consumption.

What is the best way to checkpoint a complex multi-agent execution phase for future sessions?

Checkpointing a multi-agent phase requires compressing full-session context into a structured Markdown summary with key decisions, execution plans, and pending work. The captured memory entry enables the Commander or future sessions to resume with a concise context overview.

How do I generate quick timestamped notes with tags for developer workflow reminders?

Quick timestamped notes with tags are generated using a dedicated tip mode for lightweight reminders or actionable tips. This creates a quick note file and appends its metadata to memory-index.json, applying parsed tags for easy retrieval and tracking.

Do I need workspace initialization before writing session memory files to .workflow/memory/?

Workspace initialization is required and validated before writing session memory files into .workflow/memory/. This ensures the directory structure exists so the Skill can generate deterministic MEM- or TIP- IDs and update memory-index.json without errors.

How does indexing session memories work for programmatic consumption in AI orchestration?

Indexing session memories appends metadata to memory-index.json, enabling programmatic consumption and fast lookup in AI orchestration workflows. Generated entries receive deterministic MEM- or TIP- IDs, allowing downstream agents to query past decisions and pending tasks by tags or ID.