LaunchKit · 2026
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eternal-haven-lore-pack

Eternal Haven Chronicles lore + mythic persona pack.

0
1.0k downloads
by @deepseekoracle

Setup & Installation

openclaw skills install @deepseekoracle/eternal-haven-lore-pack

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install eternal-haven-lore-pack

Version History

v1.2.0Feb 11, 2026 - Version note by skill developer:

Extract full text of Books I–IV into references/books/*.txt and wire SKILL.md to those files so the complete Eternal Haven saga is embedded as plain text in the skill.

What This Skill Does

A lore and persona pack for Justin Helmer's Eternal Haven Chronicles (Books I–IV). Gives agents canonical context to answer questions about characters, events, and metaphysics from the four-book saga. Designed to support mythic or poetic voice while staying grounded in established canon.

Bundles the canonical book text and reference indexes locally so agents can answer lore questions without hallucinating details or contradicting established events.

When to use it

  • Answering questions about the 13 heroes and their roles
  • Getting in-universe explanations of the Ascension War
  • Having an AI respond in Champion-aligned mythic voice
  • Analyzing character arcs across all four books
  • Using Eternal Haven lore as a metaphorical lens for real-world topics

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Tell me about Serenya's arc across all four books

AGENT
  1. 1Check heroes_index.md for Serenya's quick profile and associated motifs
  2. 2Identify which books contain key Serenya scenes (Book I origins, subsequent books for development)
  3. 3Read targeted passages from relevant book text files for specific scenes
  4. 4Synthesize a canon-grounded arc summary, labeling canon events vs interpretive commentary
OUTPUT

A structured arc summary covering Serenya's role in Book I through Book IV, with canon scenes cited and thematic interpretation clearly labeled as such