research-wiki

Name: research-wiki
Availability: InStock
Author: Udecode

Orchestrates ingestion and maintenance workflows for compiled research-doc layers.

434|33|Updated Jul 27, 2025

Search Tags:#documentation #research #workflows #knowledge-management #open-questions #evidence-ledger

Ready to run

npx skills add https://github.com/udecode/kitcn --skill research-wiki-udecode

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research-wiki
Source: https://github.com/udecode/kitcn/tree/main/.agents/skills/research-wiki
Command: npx skills add https://github.com/udecode/kitcn --skill research-wiki-udecode

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Operates the docs/research compiled layer to keep research lanes accurate, up-to-date, and navigable by turning scattered source material into a coherent knowledge base.

Core Features & Use Cases

Full-pipeline ingestion: orchestrates a complete research pass across multiple sources to build canonical summaries.
Maintenance and provenance: maintains backlinks, freshness, and alignment between raw sources and compiled pages.
Open questions handling: creates dedicated pages when evidence is uncertain or contradictory.
Use support docs as canonical references and treat them as sub-workflows rather than policy text.

Quick Start

Initiate a full pipeline ingest for the target research lane and refresh the compiled pages with the latest evidence.

Frequently Asked Questions about research-wiki

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

FAQPage Schema

How do I maintain research docs and keep knowledge bases up to date?▼

To maintain research docs, you orchestrate an ingestion workflow across multiple sources to build canonical summaries, ensuring compiled pages align with raw sources through backlinks and freshness checks.

What is an evidence ledger and how does it support research workflows?▼

An evidence ledger provides per-corpus provenance by tracking source alignment and gap dispositions, ensuring research outcomes remain reproducible, safe, and auditable across ongoing maintenance cycles.

How do I handle open questions when research evidence is contradictory?▼

When research evidence is contradictory, handling open questions requires creating dedicated pages that document explicit gap dispositions to maintain a clear, auditable research trail.

Can I run a full corpus-level ingest for multiple research lanes?▼

Yes, you can run a full corpus-level ingest across multiple research lanes to orchestrate a complete research pass, generating canonical summaries and standardizing support docs as sub-workflows.

What is the best way to turn scattered source material into a coherent knowledge base?▼

Turning scattered source material into a coherent knowledge base requires applying a standardized workflow with canonical support docs, evidence ledgers, and explicit gap dispositions for safe outcomes.