skills.rest
fivetaku
fivetakuCOMMUNITY
Explore all skills by this author →
GitHub

vibe-sunsang-onboard

Creates local config and data directories for the vibesunsang Codex onboarding.

114|19|Updated Apr 24, 2026
Search Tags:#onboarding#codex#conversations#data-preparation#workspace-setup#growth-tracking#session-conversion
One-click install
npx skills add https://github.com/fivetaku/gptaku-plugins-codex --skill vibe-sunsang-onboard-fivetaku
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: vibe-sunsang-onboard
Source: https://github.com/fivetaku/gptaku-plugins-codex/tree/main/plugins/vibe-sunsang-codex/skills/vibe-sunsang-onboard
Command: npx skills add https://github.com/fivetaku/gptaku-plugins-codex --skill vibe-sunsang-onboard-fivetaku

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps Codex users bootstrap local growth-analysis capabilities by creating needed directories, collecting conversation history, and converting sessions for growth tracking.

Core Features & Use Cases

  • Create local configuration and data directories for vibe-sunsang onboarding.
  • Detect missing session history and guide the user to supply data.
  • Generate workspace_types.json to tailor the growth-tracking workflow.
  • Convert recent sessions into structured conversations for analysis.
  • Use Case: A user wants to start tracking AI collaboration growth and needs a ready-to-use local workspace with converted conversations.

Quick Start

Ask this skill to initialize vibe-sunsang onboarding by creating config directories, selecting a workspace type, and converting recent Codex sessions.

Frequently Asked Questions about vibe-sunsang-onboard

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up local data directories for Codex conversation growth tracking?▼

Initialize your Codex growth-tracking workspace by creating local configuration directories, selecting a workspace type, and writing config files to prepare for session conversion and analysis.

What is session conversion for AI conversation history?▼

Session conversion for AI conversation history transforms recent Codex sessions into structured conversations. This process formats raw chat data into a structured layout for growth-tracking pipelines and analysis.

How do I prepare recent Codex sessions for growth analysis?▼

Prepare recent Codex sessions for growth analysis by running an onboarding workflow that checks for missing session history, guides data supply, and converts sessions into structured conversations for tracking pipelines.

Does the onboarding process work without existing Codex session history?▼

The onboarding process detects missing Codex session history and guides you to supply the required data. It includes safety guardrails to prevent errors during directory creation and session conversion.

How do I select a workspace type for AI collaboration growth tracking?▼

Select a workspace type for AI collaboration growth tracking through optional guidance during onboarding. The skill generates a workspace_types.json file to tailor the growth-tracking workflow to your environment.

What are the limitations of initializing a local growth-tracking pipeline?▼

Limitations of initializing a local growth-tracking pipeline include dependency on local Codex session data availability. The onboarding process only creates local configurations and converts existing sessions without external data sourcing.

Related Skills

Explore More Data & Analytics Skills→
kevinslinkevinslin
21

dev.llm-session

Parse Codex session metadata from history JSONL and resume the matching session.

Community
Intermediate
ActiveInferenceInstituteActiveInferenceInstitute
30

gnn-report-generation

Generate HTML, Markdown, and JSON pipeline analysis reports from GNN outputs.

Community
Advanced
finsilabsfinsilabs
44

sales-reporting-dashboard

Create executive sales dashboards for revenue, AOV, conversion, and cohort analysis.

Official
Intermediate
jakubciszakjakubciszak
1

sarif-parsing

Parse, deduplicate, and aggregate SARIF 2.1.0 findings across multiple runs.

Community
Advanced