Starkslab

01 / System

Signal -> Research -> Note Loop

Turn fast-moving AI-agent signal into durable, searchable Starkslab library entries.

Read ProtocolAll Systems
Active
5 steps/2 tools/3 notes

The core editorial loop: capture signal, verify with primary sources or real usage, distill the operator lesson, then ship a note with internal routing.

Loop Map

1

Capture one qualified signal from search, traffic, source code, or tool usage.

2

Validate it against primary material or a real Starkslab workflow.

3

Choose the page role: authority, tutorial, support, asset, or capture.

4

Publish the durable note and link it into Library, Tools, Products, or Systems.

5

Check search/indexing behavior and feed the next update back into the loop.

Protocol

The operating loop.

The core editorial loop: capture signal, verify with primary sources or real usage, distill the operator lesson, then ship a note with internal routing.

  1. 01
    Capture one qualified signal from search, traffic, source code, or tool usage.
  2. 02
    Validate it against primary material or a real Starkslab workflow.
  3. 03
    Choose the page role: authority, tutorial, support, asset, or capture.
  4. 04
    Publish the durable note and link it into Library, Tools, Products, or Systems.
  5. 05
    Check search/indexing behavior and feed the next update back into the loop.
Tools used

Tool Registry Pattern

Prevent tool sprawl by enforcing a registry contract.

Evaluation Runner Template

Automate eval suites to keep agents in spec.

Evidence notes

The Coding Agent Harness Layer: How to Orchestrate Claude Code, Codex, Gemini CLI, and More Without Workflow Rot

A practical field guide to the layer above the coding agent: when to use native CLIs, when wrappers help, and when a full harness is worth the complexity.

Cross-Agent Handoff: How to Move Work Between Coding Agents Without Losing Continuity

A practical field guide to cross-agent handoff: what belongs in the packet, when to resume instead of switch, and how to move work between coding agents without turning the workflow into mush.

Datafast CLI for AI Agent Tools: Workflow, Artifacts, Handoffs

Datafast CLI is one of the practical ai agent tools in our stack: command-level analytics workflows, JSON artifacts, referrers, timeseries, and handoffs.

Output

A note that can be found again by humans, search engines, and public agents.

Browse Library