super-save

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.

30 stars

Best use case

super-save is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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.

Teams using super-save should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/super-save/SKILL.md --create-dirs "https://raw.githubusercontent.com/Zidong-IA/BIBLIOTECA/main/tools/claude-supermemory/plugin/skills/super-save/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/super-save/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How super-save Compares

Feature / Agentsuper-saveStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Super 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

```bash
node "${CLAUDE_PLUGIN_ROOT}/scripts/save-project-memory.cjs" "FORMATTED_CONTENT"
```

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