context-manager

Name: context-manager
Availability: InStock
Author: Jack

Store and retrieve persistent memories across sessions with full-text search.

16|7|Updated Nov 20, 2025

Search Tags:#decisions #recall #memory management #blockers #SDAM

Ready to run

npx skills add https://github.com/jackspace/ClaudeSkillz --skill context-manager-jackspace

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: context-manager
Source: https://github.com/jackspace/ClaudeSkillz/tree/main/skills/context-manager
Command: npx skills add https://github.com/jackspace/ClaudeSkillz --skill context-manager-jackspace

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides SDAM compensation via a persistent memory system for DECISIONS, BLOCKERS, CONTEXT, PREFERENCES, and PROCEDURES to keep teams aligned over time.

Core Features & Use Cases

Persistent memory index for decisions and blockers
Time-anchored recalls and project scoping
Context capture for long-running projects
Proactive memory saving and recall queries
Lightweight search and retrieval of past decisions

Quick Start

Save a memory about a tech decision or blocker, then recall it later with a simple query.

Frequently Asked Questions about context-manager

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

FAQPage Schema

How do I store and recall decisions and blockers across project sessions?▼

Store decisions and blockers as permanent memories indexed by timestamp and tag, then retrieve them later with full-text search queries. This lets teams recall past choices and context without re-discussing the same issues, reducing decision fatigue and keeping aligned over time.

What's the best way to manage architectural decisions and prevent repeated discussions?▼

Capture architectural decisions in a persistent memory index with metadata extraction and tagging, enabling on-demand recall of past choices, rationale, and constraints. This prevents teams from revisiting settled questions and maintains institutional knowledge across project phases.

Can I search and retrieve past decisions by time or tag?▼

Yes. The memory system supports time-anchored recalls and full-text search indexed by tags and metadata. Filter decisions and blockers by date range, project scope, or custom tags to find relevant context instantly.

How does this help with SDAM and long-running project context?▼

SDAM compensation uses persistent memory to store context, preferences, and procedures alongside decisions and blockers. Time-anchored recall and project scoping ensure teams retain institutional knowledge across lengthy initiatives without cognitive overload.

What information can I store in each memory entry?▼

Store decisions, blockers, context, preferences, and procedures with automatic metadata extraction, timestamps, and custom tags. Each entry supports full-text search and lifecycle management for lightweight retrieval and archival.

Does this work for distributed or cross-platform teams?▼

Yes. The memory system provides cross-platform storage and retrieval, enabling distributed teams to access shared decisions, blockers, and context from any environment without duplicating institutional knowledge.