super-save
Saves critical implementation details and architectural context to your project memory for future reference.
Install
mkdir -p .claude/skills/super-save && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/4639" && unzip -o skill.zip -d .claude/skills/super-save && rm skill.zipInstalls to .claude/skills/super-save
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Save important project knowledge to memory. Use when user wants to preserve architectural decisions, significant bug fixes, design patterns, or important implementation details for team reference.Key capabilities
- →Capture project knowledge
- →Format conversation details
- →Save content to file
- →Maintain team alignment
How it works
The skill analyzes user input, formats it into a structured save block, and executes a script to persist the content.
Inputs & outputs
When to use super-save
- →Documenting a recent architectural decision
- →Saving a complex bug fix summary
- →Storing a specific design pattern for team use
- →Recording important project constraints
About this skill
Supermemory Save
Save important project knowledge based on what the user wants to preserve.
Step 1: Understand User Request
Analyze what the user is asking to save from the conversation.
Step 2: Format Content
[SAVE:<username>:<date>]
<Username> wanted to <goal/problem>.
Claude suggested <approach/solution>.
<Username> decided to <decision made>.
<key details, files if relevant>
[/SAVE]
Example:
[SAVE:prasanna:2026-02-04]
Prasanna wanted to create a skill for saving project knowledge.
Claude suggested using a separate container tag (repo_<hash>) for shared team knowledge.
Prasanna decided to keep it simple - no transcript fetching, just save what user asks for.
Files: src/save-project-memory.js, src/lib/container-tag.js
[/SAVE]
Keep it natural. Capture the conversation flow.
Step 3: Save
node "${CLAUDE_PLUGIN_ROOT}/scripts/save-project-memory.cjs" "FORMATTED_CONTENT"
When not to use it
- →Fetching full conversation transcripts
- →Complex data processing
Prerequisites
Limitations
- →No transcript fetching
How it compares
It uses a standardized container tag format for team knowledge instead of manual note-taking.
Compared to similar skills
super-save side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| super-save (this skill) | 1 | 2mo | Review | Beginner |
| note | 0 | 2mo | No flags | Advanced |
| knowledge-ops | 0 | 3mo | No flags | Advanced |
| note | 0 | 3mo | No flags | Beginner |
Try saying
Example prompts that trigger this skill in your AI assistant.
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