research-platform

Consolidate owned analytics and public metrics into a source-traceable platform evidence base.

14|Updated Apr 1, 2026
One-click install
npx skills add https://github.com/hungv47/meta-skills --skill research-platform
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-platform
Source: https://github.com/hungv47/meta-skills/tree/main/skills/research/research-platform
Command: npx skills add https://github.com/hungv47/meta-skills --skill research-platform

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Turns operator-owned analytics and public metrics into a single, sourced evidence base per platform so teams ground social, SEO, and short-form decisions in measured reality.

Core Features & Use Cases

  • Transforms owned_analytics, public_metrics, manual_export, forum_observation, and prior_eval into a tagged, per-platform evidence base.
  • Applies a strict evidence-contract: every datum carries a source_type and measured_at, with MEASURED, PARTIAL, or NO_EVIDENCE flags to guide downstream decisions.
  • Outputs are consumed by downstream skills such as write-social, optimize-seo, and research-shortform to ground recommendations in real data.
  • Supports multiple platforms (X, LinkedIn, TikTok, YouTube, Instagram) with platform-specific evidence schemas.

Quick Start

Run the bundled cold-start prompts to collect and structure platform data from your accounts.

Frequently Asked Questions about research-platform

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

FAQPage Schema
How do I consolidate owned analytics and public metrics into a single evidence base?

Consolidate owned analytics and public metrics by transforming manual exports and prior eval outcomes into a tagged, source-traceable evidence base. Every datum receives a source_type and measured_at date to enforce provenance for downstream decisions.

What is a platform-evidence base and when do I need it for social decisions?

A platform-evidence base is a consolidated, source-traceable repository of owned analytics and public metrics. You need it to ground social, SEO, and short-form decisions in measured reality rather than assumptions.

Does this platform-evidence base support schemas for TikTok, YouTube, Instagram, X, and LinkedIn?

Yes, the platform-evidence base applies per-platform schemas for X, LinkedIn, TikTok, YouTube, and Instagram. It enforces strict evidence-contracts with MEASURED, PARTIAL, or NO_EVIDENCE flags to guide downstream decisions.

How do I structure manual exports and forum observations for cross-skill consumption?

Structure manual exports and forum observations by applying explicit source tagging and measured_at dates. The output enforces provenance and two freshness windows, allowing downstream skills to consume the data reliably.

What are the limitations of using prior eval outcomes for benchmarking platform evidence?

Prior eval outcomes are incorporated into the evidence base but are constrained by freshness windows and source tagging. Data lacking explicit measured_at dates or source_type is flagged as NO_EVIDENCE to prevent ungrounded downstream decisions.

Can I use data tagging to enforce provenance rules across multiple social platforms?

Yes, data tagging enforces provenance by applying source_type tags and measured_at dates across X, LinkedIn, TikTok, YouTube, and Instagram. This ensures all platform evidence carries explicit source traceability.