scbe-world-anvil-lore-rag-7th-tongue
Build and operate a lore-focused RAG system using World Anvil exports and SCBE docs, with deterministic Claude/Codex cross-talk packets for handoff. Use when users ask to structure lore canon retrieval, sync worldbuilding data, enforce citation-grounded generation, or coordinate a 7th Tongue overseer lane across multiple AI agents.
Best use case
scbe-world-anvil-lore-rag-7th-tongue is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Build and operate a lore-focused RAG system using World Anvil exports and SCBE docs, with deterministic Claude/Codex cross-talk packets for handoff. Use when users ask to structure lore canon retrieval, sync worldbuilding data, enforce citation-grounded generation, or coordinate a 7th Tongue overseer lane across multiple AI agents.
Teams using scbe-world-anvil-lore-rag-7th-tongue 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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/scbe-world-anvil-lore-rag-7th-tongue/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How scbe-world-anvil-lore-rag-7th-tongue Compares
| Feature / Agent | scbe-world-anvil-lore-rag-7th-tongue | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Build and operate a lore-focused RAG system using World Anvil exports and SCBE docs, with deterministic Claude/Codex cross-talk packets for handoff. Use when users ask to structure lore canon retrieval, sync worldbuilding data, enforce citation-grounded generation, or coordinate a 7th Tongue overseer lane across multiple AI agents.
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
# SCBE World Anvil Lore RAG (7th Tongue) Use this skill to turn World Anvil structure into a local, queryable lore index and keep Codex/Claude synchronized through packetized handoffs. ## Quick Start 1. Build index from exports + docs: ```bash python C:/Users/issda/.codex/skills/scbe-world-anvil-lore-rag-7th-tongue/scripts/build_lore_index.py \ --repo-root C:/Users/issda/SCBE-AETHERMOORE \ --inputs exports/world_anvil docs content/articles/story_series notes \ --db artifacts/lore_rag/world_anvil_lore.sqlite ``` 2. Query lore: ```bash python C:/Users/issda/.codex/skills/scbe-world-anvil-lore-rag-7th-tongue/scripts/query_lore_index.py \ --repo-root C:/Users/issda/SCBE-AETHERMOORE \ --db artifacts/lore_rag/world_anvil_lore.sqlite \ --query "Kael OR future OR \"seventh tongue\"" \ --top-k 10 ``` SQLite FTS uses query operators; use `OR` for broad recall and quotes for phrase matches. 3. Emit cross-talk handoff packet: ```bash python C:/Users/issda/.codex/skills/scbe-world-anvil-lore-rag-7th-tongue/scripts/emit_crosstalk_packet.py \ --repo-root C:/Users/issda/SCBE-AETHERMOORE \ --sender agent.codex \ --recipient agent.claude \ --summary "7th Tongue lore index refreshed; citations ready for generation lane." \ --next-action "Claude generate lore answer using only top cited chunks." ``` 4. Live sync from World Anvil API (then index): ```bash python C:/Users/issda/.codex/skills/scbe-world-anvil-lore-rag-7th-tongue/scripts/sync_world_anvil_live.py \ --repo-root C:/Users/issda/SCBE-AETHERMOORE \ --self-test python C:/Users/issda/.codex/skills/scbe-world-anvil-lore-rag-7th-tongue/scripts/sync_world_anvil_live.py \ --repo-root C:/Users/issda/SCBE-AETHERMOORE \ --endpoints articles,categories,timelines,maps,manuscripts,chronicles,secrets ``` If env vars are not set, the sync script can read from DPAPI mirror services (`world_anvil_app_key`, `world_anvil_user_token`) automatically. Store keys into DPAPI mirror (one-time): ```bash python C:/Users/issda/.codex/skills/scbe-api-key-local-mirror/scripts/key_mirror.py store --service world_anvil_app_key --env WORLD_ANVIL_APP_KEY python C:/Users/issda/.codex/skills/scbe-api-key-local-mirror/scripts/key_mirror.py store --service world_anvil_user_token --env WORLD_ANVIL_USER_TOKEN ``` No-live-account test mode: ```bash python C:/Users/issda/.codex/skills/scbe-world-anvil-lore-rag-7th-tongue/scripts/sync_world_anvil_live.py \ --repo-root C:/Users/issda/SCBE-AETHERMOORE \ --output-dir exports/world_anvil/mock_sync_test \ --mock ``` ## Codex + Claude Structure 1. `KO/Lead (Codex)`: - Build/refresh index. - Run primary retrieval queries. - Emit packet with retrieval proof. 2. `RU/Canon Guard (Claude)`: - Consume packet. - Generate lore output strictly from citations. - Flag canon conflicts as `needs-reconcile`. 3. `EL/7th Tongue Overseer`: - Resolve conflicts between outputs. - Enforce final canon decision with packetized audit. ## Output Contract - Local index DB: `artifacts/lore_rag/world_anvil_lore.sqlite` - Query results: JSON output from `query_lore_index.py` - Packet artifacts: - `artifacts/agent_comm/YYYYMMDD/*.json` - `artifacts/agent_comm/github_lanes/cross_talk.jsonl` - `notes/_inbox.md` ## Invariants - Keep source-grounded answers with explicit chunk citations. - Prefer World Anvil export records when available; use repo docs as fallback context. - Keep all handoffs deterministic and packetized. - Never include raw secrets in packets. ## Resource Guide - `scripts/build_lore_index.py`: Parse exports/docs and build SQLite FTS index. - `scripts/query_lore_index.py`: Retrieve top lore chunks with citation metadata. - `scripts/emit_crosstalk_packet.py`: Append Claude/Codex handoff packet. - `scripts/sync_world_anvil_live.py`: Pull live World Anvil API data to local exports. - `references/world_anvil_field_mapping.md`: Field normalization and expected export shapes.
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