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Claude Bookmarks | William Callahan - Bookmarks

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A collection of bookmarks filtered by the tag "Claude".

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Showing 1-5 of 5 bookmarks tagged with "Claude"

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How to be more ambitious: A tutorial for humans with models

felixrieseberg.com

How to be more ambitious: A tutorial for humans with...

AI Prompting Anthropic AI Productivity

Oct 17, 2026

claude-code frontend design skill template - Github

claude-code frontend design skill template - Github

Claude Code Claude AI Claude

Dec 9, 2025

Pairing with Claude Code to Rebuild My Startup’s Website

blog.nseldeib.com

Pairing with Claude Code to Rebuild My Startup’s Website

Website Rebuilds Software Development Workflow Automation

Sep 26, 2025

GitHub - ghuntley/how-to-build-a-coding-agent: A workshop that teaches you how to build your own coding agent. Similar to Roo code, Cline, Amp, Cursor, Windsurf or OpenCode.

GitHub - ghuntley/how-to-build-a-coding-agent: A workshop that teaches you how to...

Coding Workshops Tool Integration AI Agents

Aug 27, 2025

GitHub - JayZeeDesign/claude-code-proxy: Run Claude Code on OpenAI models

GitHub - JayZeeDesign/claude-code-proxy: Run Claude Code on OpenAI models

Gemini Models GitHub Projects AI Proxies

Jul 14, 2025

Discover More

platform.claude.com

September 2, 2026

Prompting Claude Fable 5.1

Prompting Claude Fable 5.1

Behavioral differences and prompting patterns for Claude Fable 5.1 and Claude Mythos 5.1, covering effort, progress updates, tool-call batching, conve...

Effort Levels Prompt Engineering Claude Fable LLM Agents Tool Calling

LINK

github.com

August 16, 2026

GitHub - Leonxlnx/unlazy: Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth. Grounded in 2025-2026 research on model laziness, underthinking and premature completion.

GitHub - Leonxlnx/unlazy: Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth. Grounded in 2025-2026 research on model laziness, underthinking and premature completion.

Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the who...

Task Decomposition Claude Code AI Agents Model Laziness Acceptance Gates

LINK

github.com

August 16, 2026

GitHub - alexgreensh/attention-span: Make your agents talk human. ADHD-friendly output styles for Claude Code. So you can pay attention, not tokens.

GitHub - alexgreensh/attention-span: Make your agents talk human. ADHD-friendly output styles for Claude Code. So you can pay attention, not tokens.

Make your agents talk human. ADHD-friendly output styles for Claude Code. So you can pay attention, not tokens. - alexgreensh/attention-span

AI Coding Agents Claude Code ADHD Accessibility Plain English Output Styles

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