algorithm-knowledge-base

name	algorithm-knowledge-base
description	Algorithm Intelligence Layer for Synthex. Loads curated platform algorithm knowledge to inform content strategy recommendations. Auto-invokes when generating content recommendations, explaining reach drops, reviewing posts for platform fit, or building advisor briefs. Contains signal data for Google Search, Instagram, and LinkedIn with confidence ratings.
metadata	{"author":"synthex","version":"1.0","type":"reference-skill","triggers":["why is my reach dropping","algorithm update","optimise for the algorithm","what signals matter on","content strategy for","why did this post perform","advisor brief generation","platform content optimiser","ranking signal","engagement velocity"]}
context	fork

Algorithm Knowledge Base

Purpose

Provides authoritative, confidence-rated platform algorithm intelligence to inform all Synthex content recommendations. Prevents generic advice by grounding recommendations in specific, verified ranking signals.

Loaded into: AI Marketing Advisor brief generation, Platform Content Optimiser skill, and any content strategy session.

Reference Files

Load the relevant platform file before making algorithm-specific recommendations:

Platform	File	Confidence Range
Google Search	references/google-search.md	CONFIRMED → INFERRED
Instagram / Meta	references/instagram-meta.md	CONFIRMED → SPECULATIVE
LinkedIn	references/linkedin.md	CONFIRMED → INFERRED
Cross-Platform	references/cross-platform.md	INFERRED
Signal Taxonomy	references/signal-taxonomy.md	Internal standard

Protocol

When generating content recommendations:

1. Load references/signal-taxonomy.md — establishes signal categories
2. Load platform-specific reference file(s)
3. Map client's content to the top 3 ranking signals for that platform
4. Cite only CONFIRMED or LEAKED signals when making specific claims
5. Mark INFERRED recommendations with "likely" or "based on observed patterns"

Confidence label rules:

• [CONFIRMED] — Direct official statement from platform or verified documentation
• [LEAKED] — From authenticated leak (e.g., Google Content Warehouse 2024)
• [INFERRED] — Multiple corroborating sources (creators, analytics providers)
• [SPECULATIVE] — Single source or community consensus, low certainty

DO NOT:

• Invent signal weights or claim numerical precision not in the reference files
• Use outdated information (check last_verified_date before citing)
• Apply one platform's signals to another without checking cross-platform patterns

Output Format

When citing algorithm intelligence in recommendations:

Signal: watch_time [CONFIRMED — Mosseri 2023-09]
Recommendation: Keep Reels under 30s for service demos — watch completion
directly feeds distribution beyond your existing followers.

Pass / Fail Rules

A recommendation using this skill:

• ✅ PASS: cites at least one specific signal by name with confidence level
• ✅ PASS: distinguishes between platforms when giving multi-platform advice
• ❌ FAIL: "post at optimal times" without citing engagement velocity data
• ❌ FAIL: claims specific percentage weights without [CONFIRMED] or [LEAKED] source