Compact Memory Implementation
Developer guide to implement compact memory/context compaction in Claude agents.
Test report
- Verdict
- Tested · Works
- Score
- Tested
- Jul 13, 2026
- Environment
- Claude Code 2.x (agent harness)
- Upstream re-checked
- Jul 18, 2026 · 9413161
Ran a mini design task twice: the unguided baseline gave generic 'summarize periodically' advice, while the skill-guided version specified a 70-80% token threshold, a Haiku-fork compactor pattern, an 8-field JSON summary schema, and a cross-session chaining strategy.
Scored on four weighted criteria — install, triggering, output vs. baseline, docs. How scoring works
- Installs cleanly 5/5
- Triggers reliably 5/5
- Output vs. baseline 8/10
- Docs & honesty 5/5
What Compact Memory Implementation does
Step-by-step developer guide for adding compact memory to an AI agent: when to trigger compaction, how to fork a cheaper-model compactor sub-agent, what JSON summary schema to use, and how to restore memory via system-prompt injection in later sessions. Triggers when a developer asks how to implement context compression, memory persistence, or compact memory in an agent built on the Claude Agent SDK or Anthropic API. Includes working Python code and a common-pitfalls table.
How to install Compact Memory Implementation
git clone https://github.com/simbajigege/book2skills
cd book2skills
mkdir -p ~/.claude/skills
cp -r skills/compact-memory-implementation ~/.claude/skills/compact-memory-implementation
Skills live in ~/.claude/skills/ (global) or .claude/skills/
(per-project). Restart Claude Code after installing.
Commands — how to trigger Compact Memory Implementation
-
/compact-memory-implementationDeveloper guide to implement compact memory/context compaction in Claude agents.
It also activates on plain-language prompts like these:
-
How do I add context compaction to my agent? -
Implement compact memory in my Claude Agent SDK app -
Add memory persistence across my agent sessions
Frequently asked questions
- Is the Compact Memory Implementation skill free?
- Yes. The skill itself is free from simbajigege/book2skills. SkillProof publishes the install command and an independent test verdict at no cost.
- Does Compact Memory Implementation work with Claude Code?
- We tested it with Claude Code 2.x (agent harness) on Jul 13, 2026. Verdict: Tested · Works. Ran a mini design task twice: the unguided baseline gave generic 'summarize periodically' advice, while the skill-guided version specified a 70-80% token threshold, a Haiku-fork compactor pattern, an 8-field JSON summary schema, and a cross-session chaining strategy.
- What is the Compact Memory Implementation SkillProof Score?
- 9.2/10 — installs cleanly 5/5, triggers reliably 5/5, output vs. baseline 8/10, docs & honesty 5/5.
- How do I install Compact Memory Implementation?
- Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.
- Can I use Compact Memory Implementation with Cursor, Copilot, Gemini CLI, Codex or other AI tools?
- The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.