scbe-n8n-colab-bridge
Configure and reuse Google Colab local notebook connection settings for SCBE n8n automation and agent handoff workflows.
Best use case
scbe-n8n-colab-bridge is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Configure and reuse Google Colab local notebook connection settings for SCBE n8n automation and agent handoff workflows.
Teams using scbe-n8n-colab-bridge 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-n8n-colab-bridge/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How scbe-n8n-colab-bridge Compares
| Feature / Agent | scbe-n8n-colab-bridge | 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?
Configure and reuse Google Colab local notebook connection settings for SCBE n8n automation and agent handoff workflows.
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 N8N Colab Local Bridge Use this skill when you have a Colab local connection URL (for example `http://127.0.0.1:8888/?token=...`) and want to safely normalize, validate, and wire it into local n8n automation. ## When to use - You need Colab pivot knowledge or local notebook runs to feed n8n/SCBE workflows. - You need a repeatable way to store backend URL + token and validate connectivity. - You want to sync environment variables for scripts and keep them discoverable. - You are transitioning between notebook sessions and need a known working backend endpoint. ## Quick Start 1. Parse and validate from Colab local connection URL ```bash python C:\Users\issda\.codex\skills\scbe-n8n-colab-bridge\scripts\colab_n8n_bridge.py ` --set \ --name pivot --backend-url "http://127.0.0.1:8888/?token=YOUR_TOKEN" \ --n8n-webhook "http://127.0.0.1:5678/webhook/scbe-pivot" \ --probe ``` 2. Export environment for this shell ```bash python C:\Users\issda\.codex\skills\scbe-n8n-colab-bridge\scripts\colab_n8n_bridge.py --env --name pivot ``` 3. Quick connectivity check ```bash python C:\Users\issda\.codex\skills\scbe-n8n-colab-bridge\scripts\colab_n8n_bridge.py --status --name pivot ``` ## Behavior - Stores profile JSON in: - `%USERPROFILE%\\.scbe\\colab_n8n_bridge.json` - Stores tokens via `src/security/secret_store` with Sacred Tongue tokenization for local offline retention. - `--set` normalizes URL, strips trailing spaces, validates required token. - `--set --probe` performs API reachability check against `/api` before save. - `--status` prints a small JSON summary with masked token preview. - `--env` prints shell-safe export lines for `SCBE_COLAB_BACKEND_URL`, `SCBE_COLAB_TOKEN`, and optional `N8N_WEBHOOK_URL`. ## Script contract Use these exact commands from the skill path: - `--set`: create or update profile - `--status`: report profile and local config - `--env`: print export statements - `--probe`: ping Colab API endpoint and confirm token works ## Security note This operation uses local credentials only. Avoid printing full tokens into logs, and regenerate tokens if they are ever exposed. ## Related workflow - After setup, use existing local n8n orchestration scripts: - `scripts/system/smoke_n8n_bridge.ps1` - `scripts/system/full_system_smoke.py`
Related Skills
scbe-training-pair-authoring
Create prompt and response and metadata training pairs from SCBE documents, repair traces, terminal sessions, and operational workflows using the repository's canonical dataset contract and provenance rules.
scbe-spin-conversation-engine
Generate SFT training data via radial matrix conversation pivots with D&D-style combat research mode. Produces diverse, cost-effective training pairs with Sacred Tongue encoding, golden spiral problem distribution, and harmonic re-attunement.
scbe-research-training-bridge
Stage arXiv evidence and Obsidian markdown into source-grounded Hugging Face training bundles for research, review, and later SFT runs.
scbe-document-management
Consolidate overlapping docs, classify files by authority, and keep SCBE repo documents aligned with runtime truth. Use when the repo has drift between canonical docs, public docs, proposal notes, research branches, and generated evidence.
scbe-colab-bridge
Control Google Colab notebooks from Claude Code via Chrome extension. Execute cells, run terminal commands, read outputs, and manage GPU compute remotely.
scbe-claim-to-code-evidence
Map SCBE Notion technical claims, proof pages, and patent-facing architecture notes to concrete repository evidence such as code paths, tests, demos, and docs. Use when Codex needs to build a due-diligence packet, claim-to-code audit, implementation crosswalk, patent support note, or proof summary from local Notion exports and repo artifacts.
scbe-autonomous-worker-productizer
Turn SCBE automation, autonomous worker, and revenue-system notes into concrete offers, workflow packs, pilot plans, or SaaS-facing product packets. Use when Codex needs to package Notion automation pages into buyer-ready offerings, n8n/Zapier workflow designs, flock-backed worker systems, or implementation roadmaps tied to existing SCBE repo surfaces.
scbe-code-scanning-ops
Operate GitHub code scanning and CodeQL remediation for SCBE repositories. Use when triaging code-scanning alerts, mapping alert classes to fix patterns, validating targeted regressions, or wiring dedicated CodeQL workflows and runbooks into the repo.
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.
scbe-webtoon-book-conversion
Convert The Six Tongues Protocol and related manuscript sections into webtoon/manhwa storyboard packets, episode roadmaps, panel expansion plans, and image-generation-ready prompt lanes. Use when extending the series storyboard, adapting book chapters into vertical scroll episodes, or keeping art generation tied to canon instead of drifting into generic fantasy panels.
scbe-voice-render-verification
Govern and verify SCBE voice rendering work that maps Langues weighting into breath, phase, and Layer 14 audio-axis packets. Use when implementing or reviewing `scripts/voice_gen_hf.py`, emitting sidecar voice packets, validating canonical tongue ordering, tuning breath planning or phase timing, or keeping voice docs and code aligned with `docs/LANGUES_WEIGHTING_SYSTEM.md` and `docs/specs/SCBE_VOICE_EMOTIONAL_TIMBRE_SYSTEM.md`.
scbe-universal-synthesis
Orchestrate all installed Codex skills through an auto-updating synthesis matrix with Sacred Tongues routing, emotion/intent metadata, and decodable lexicon packets tied to established SCBE characters. Use when the user asks for cross-skill coordination, auto skill updates, multi-skill routing, or Sacred Tongues intent mapping.