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Open Rails for Agents

An argument stitched from Solve Everything: Achieving Abundance by 2035 (Alexander D. Wissner-Gross & Peter H. Diamandis).

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Three moves: bet on the open rail; standardize the target; run the target over the rail.

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1 — Bet on interoperable agents as a service

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Is that PyPI download spike real humans — or a CI/CD fleet?

Raw PyPI download counts conflate humans with mirrors, CI/CD, and transitive dependencies. When a package "takes off" or two packages look like a migration, the naive read is usually wrong. This is a method (+ copy-paste SQL) to tell a human adoption wave from a single-image automation fleet, using the public BigQuery table bigquery-public-data.pypi.file_downloads.

The idea

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Agent Finder × ANS — Interoperability Analysis

How Agent Finder / AI Catalog (discovery + semantic search) and the Agent Name Service (ANS) (domain-anchored identity + verification) fit together — written for the people who maintain each.

One-line thesis: they are different layers and they stack. Agent Finder answers "what agents exist and which one fits my need?" ANS answers "who is this agent, and is it provably the real one?" The highest-value work is wiring them at one seam — search semantically, verify cryptographically.

ANS already designs for this: its architecture **decouples identity (the Registration Authority) from

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Design Document: google-genai Model Provider for OpenClaw

1. Background & Findings

A review of the openclaw/openclaw repository reveals numerous open issues related to the existing google-vertex provider (e.g., #48033, #49039, #49191, #56253).

The Core Bug: The new @google/genai SDK is used downstream (via @mariozechner/pi-ai). Currently, when Application Default Credentials (ADC) are detected, a sentinel value ("<authenticated>") is returned. OpenClaw blindly treats this string as a literal API key and passes it down. The @google/genai SDK constructor sees a truthy apiKey, assumes it should use the Gemini Developer API, and sends x-goog-api-key: <authenticated>, which immediately results in a 401 UNAUTHENTICATED from Vertex AI.

There is a clear need for a unified google-genai provider that gracefully handles both standard API keys and IAM/Vertex ADC workflows, mapping cleanly to the @google/genai SDK's design.

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name	tour
description	Generate narrated video tours of completed work — Ken Burns over real captures, TTS narration, posted to Discord.

Tour Skill

Show what was built. Don't just describe it.

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ADK Vertex AI Mentions Audit — All Languages

Date: 2026-03-30

Repos audited: adk-python, adk-go, adk-java, adk-js, adk-docs

Method: grep -rni 'vertex' across all source/doc files

Summary Table

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ADK Vertex AI Mentions Audit — All Languages

Date: 2026-03-30

Repos audited: adk-python, adk-go, adk-java, adk-js, adk-docs

Method: grep -rni 'vertex' across all source/doc files

Summary Table

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A2UI Integration in OpenClaw: Usage Analysis & v0.9 Upgrade Path

Internal strategic analysis — March 2026

Additional References:

• https://ppaolo.substack.com/i/187472685/1-canvas-and-agent-to-ui-a2ui

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1. Executive Summary

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name	cuj-screenshots
description	Capture Critical User Journey (CUJ) screenshots and GIFs from web apps using headless Chromium. Use when you need to create visual demos, verify UI changes, or document user flows.

CUJ Screenshots Skill

Automate visual documentation of web app user journeys using headless browser automation.

When to Use This

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import fnmatch
import os
import re


class CodeToMarkdown:
    def __init__(self, output_filename, src_folders, exclusion_patterns, inclusion_patterns):
        self.output_filename = output_filename
        self.src_folders = src_folders
        self.exclusion_patterns = exclusion_patterns