Forgotten Elements Reminder
This skill gently reminds you of forgotten elements within your notes, boosting recall and improving organization for enhanced productivity.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add forgotten-elements-reminder npx -- -y @trustedskills/forgotten-elements-reminder
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"forgotten-elements-reminder": {
"command": "npx",
"args": [
"-y",
"@trustedskills/forgotten-elements-reminder"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill helps AI agents identify and recall previously mentioned story elements, ensuring consistency in long-form narratives. It specifically tracks characters, settings, and plot points to prevent continuity errors during generation.
When to use it
- Maintaining character backstories across hundreds of pages of generated text.
- Ensuring setting details (like magic systems or geography) remain consistent throughout a novel.
- Preventing the AI from contradicting earlier plot decisions in complex story arcs.
- Reviewing drafts to catch accidental omissions of established lore.
Key capabilities
- Scans conversation history for previously defined elements.
- Cross-references current output against past context.
- Flags inconsistencies or forgotten details automatically.
- Operates within the Novel Writer ecosystem.
Example prompts
- "Check if I've mentioned this character's injury before and ensure it's consistent."
- "List all the magical artifacts introduced so far and verify they are used correctly."
- "Review the last chapter to see if any established rules of the world were broken."
Tips & gotchas
This skill relies heavily on the quality of your initial context setup; vague descriptions may lead to missed connections. It is designed specifically for novel writing workflows, so it may not be effective for non-narrative tasks like coding or data analysis.
Tags
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Security Audits
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