context-manager

Q: How do I install context-manager?

Run npx skills add https://github.com/404kidwiz/claude-supercode-skills --skill context-manager in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/context-manager/ (personal) or .claude/skills/context-manager/ (project).

by 404kidwizAI & Agents

Expert in managing the "Memory" of AI systems. Specializes in Vector Databases (RAG), Short/Long-term memory architectures, and Context Window optimization. Use when designing AI memory systems, optimizing context usage, or implementing conversation history management.

Installs: 165
Last 24h: —
Trending rank: —
Security: Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/404kidwiz/claude-supercode-skills --skill context-manager

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads context-manager automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Context Manager

Purpose

Provides expertise in AI context management, memory architectures, and context window optimization. Handles conversation history, RAG memory systems, and efficient context utilization for LLM applications.

When to Use

Designing AI memory and context systems
Optimizing context window usage
Implementing conversation history management
Building long-term memory for AI agents
Managing RAG retrieval context
Reducing token usage while preserving quality
Designing multi-session memory persistence

Quick Start

Invoke this skill when:

Designing AI memory and context systems
Optimizing context window usage
Implementing conversation history management
Building long-term memory for AI agents
Reducing token usage while preserving quality

Do NOT invoke when:

Building full RAG pipelines (use ai-engineer)
Managing vector databases (use data-engineer)
Coordinating multiple agents (use agent-organizer)
Training embedding models (use ml-engineer)

Decision Framework

Memory Type Selection:
├── Single conversation → Sliding window context
├── Multi-session user → Persistent memory store
├── Knowledge-heavy → RAG with vector DB
├── Task-oriented → Working memory + tool results
└── Long-running agent
    ├── Episodic memory → Event summaries
    ├── Semantic memory → Knowledge graph
    └── Procedural memory → Learned patterns

Core Workflows

1. Context Window Optimization

Measure current token usage
Identify redundant or verbose content
Implement summarization for old messages
Prioritize recent and relevant context
Use compression techniques
Monitor quality vs. token tradeoff

2. Conversation Memory Design

Define memory retention requirements
Choose storage strategy (in-memory, DB)
Implement message windowing
Add summarization for overflow
Design retrieval for relevant history
Handle session boundaries

3. Long-term Memory Implementation

Define memory types needed
Design memory storage schema
Implement memory write triggers
Build retrieval mechanisms
Add memory consolidation
Implement forgetting policies

Best Practices

Summarize old context rather than truncating
Use semantic search for relevant history retrieval
Separate system instructions from conversation
Cache frequently accessed context
Monitor context utilization metrics
Implement graceful degradation at limits

Anti-Patterns

Anti-Pattern	Problem	Correct Approach
Full history always	Exceeds context limits	Sliding window + summaries
No summarization	Lost important context	Summarize before eviction
Equal priority	Wastes tokens on irrelevant	Weight recent/relevant higher
No persistence	Lost memory across sessions	Store important memories
Ignoring token costs	Expensive API calls	Monitor and optimize usage

FAQ

What does the context-manager skill do?

How do I install context-manager?

Run npx skills add https://github.com/404kidwiz/claude-supercode-skills --skill context-manager in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/context-manager/ (personal) or .claude/skills/context-manager/ (project).

Which AI agents can use context-manager?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is context-manager safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains context-manager?

It is published by 404kidwiz in 404kidwiz/claude-supercode-skills. It has 165 recorded installs.