compact-session
Skill2 starsChanged 10 months agoApache-2.0View on GitHub
Summarize entire session and save to index as compact Q&A pairs
In this repository3 other files it gives its agents.
- delete-memorySkill
- index-memorySkill
- search-memorySkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 27
Call store_memory ONCE with that complete string
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Compact Session
CRITICAL RULE
store_memory must be called EXACTLY ONCE. No retries. No corrections.
Pre-call Checklist (ALL must be YES before calling store_memory)
- Identified ALL main topics (3-5)?
- Written summaries for EVERY topic?
- Combined ALL summaries into ONE content string?
- Displayed the complete content string?
Process
- List all main topics discussed in this session (3-5 topics)
- For each topic, write: "Human: [question]\nAssistant: [answer]"
- Concatenate all pairs with blank lines between them
- Display the COMPLETE content string
- Call store_memory ONCE with that complete string
Format Example
Content string should look like:
Human: How to setup CC-Forever?
Assistant: Run /cc-forever:setup to configure.
Human: What embedding models are available?
Assistant: English (MiniLM), Multilingual (e5), Japanese (Ruri).store_memory Call
- content: The COMPLETE string containing ALL topic summaries
- project: current directory name
- tags: ["compact", "session-summary"]
After Calling
Report: "Saved N topic summaries" and STOP. Do not call store_memory again.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

