NOTE

Gemini Handoff — Wiki Expansion Research (2026-05-02)

authorcodex targets aliases titleGemini Handoff — Wiki Expansion Research (2026-05-02) statusarchived date2026-05-02 typehandoff

Gemini Handoff: Wiki Expansion Research

Objective

Research where the vault should expand next and produce a prioritized, source-aware expansion plan rather than immediately broadening the wiki ad hoc.

The goal is to identify the highest-leverage note clusters to deepen based on current graph topology, thin high-traffic notes, weak navigation hubs, and already-available raw/source material.

Verified Facts

  • 02_System/find-thin-nodes.ps1 currently reports 351 notes and 3289 mapped links after graph sync.
  • Several notes are structurally important but still thin relative to their incoming-link count:
  • Several MOCs or navigation notes are especially thin for their role:
  • The vault already has meaningful coverage in some lanes, so this should not be treated as a blank-slate discovery task:
    • Anthropic API cluster exists and is newly seeded
    • Firecrawl pipeline/spec cluster exists and is relatively mature
    • OpenAI Swarm / Agents SDK coverage exists
    • MCP, ADK, .NET/C#, PowerShell, Python, Rust, and TypeScript all already have anchor notes or MOCs
  • Raw/source inventory already exists for multiple expansion candidates, including:
    • 00_Raw/mcp/
    • 00_Raw/anthropic/
    • 00_Raw/adk-documentation.md
    • 00_Raw/openai-agents-and-swarm.md
    • Hugging Face agent-course files
    • language summaries and handbooks

Constraints

  • This handoff is for research and planning, not for a broad ingestion sprint.
  • Do not create many new permanent notes in the same pass unless one is strictly necessary to hold the expansion plan.
  • Keep facts separate from recommendations. If a gap is inferred from graph shape rather than directly proven by source absence, mark it as an inference.
  • Prefer areas with either:
    • existing raw corpus ready for synthesis, or
    • a clearly central note whose thinness is already measurable
  • Avoid recommending topic sprawl into marginal novelty areas when the core hubs are still underdeveloped.

Task

Inspect the current vault and determine the best areas to expand next.

Produce a ranked list of 3 to 5 expansion lanes. For each lane, include:

  1. why it is high leverage now
  2. whether the problem is:
    • thin hub note
    • weak MOC / navigation layer
    • incomplete source-to-literature-to-permanent conversion
    • missing bridge note between existing clusters
  3. exact candidate note titles or wikilink targets
  4. whether the lane should deepen existing notes or create a bounded new cluster
  5. what raw corpus or source acquisition path supports it

Recommendations

Use this evaluation order:

  1. Thin hubs with high centrality
  2. Weak MOCs that impair navigation/discovery
  3. Source-rich lanes with incomplete synthesis
  4. Bridge notes that would connect already-existing clusters

Likely areas worth validating:

Treat those as starting hypotheses, not final conclusions.

Deliverable

Create one bounded planning note:

  • 01_Wiki/wiki-expansion-opportunities-2026-05-02.md

That note should contain:

  • ## Verified Gaps
  • ## Ranked Expansion Lanes
  • ## Recommended Immediate Batch
  • ## Deferred Lanes

The output should end with a single recommended next batch that another agent could execute without re-researching the vault.

Evidence

  • 02_System/find-thin-nodes.ps1
  • 01_Wiki/index.md
  • 01_Wiki/agentic-frameworks-moc.md
  • 01_Wiki/programming-languages-moc.md
  • current note inventory under 01_Wiki/
  • current raw/source inventory under 00_Raw/

Stop Condition

Stop when:

  • the planning note exists
  • it contains a ranked expansion plan grounded in current vault evidence
  • one immediate next batch is recommended

Do not execute the batch in the same session unless explicitly re-tasked.

Next Decision

After the planning note is written, decide whether the next execution lane should be:

  • depth-first: harden central thin hubs first
  • corpus-first: synthesize the richest available raw/source lane first