GitHub - nikilster/clawflows: âš¡ï¸ Superpowers for your Openclaw. Powerful prebuilt agent workflows.
Including 112 prebuilt workflows you can enable in 1 click 🎉 Some examples 📧 Process my email (9am, 1pm, 5pm) — Junk unsubscribed, noise archived, important stuff summarized. Your inbox, handled. â˜€ï¸ Morning briefing (7am) — Weather, calendar, priorities, and fires — delivered before you open your eyes. ðŸ›ï¸ Sleep mode (10pm) — Every light off, music stopped, thermostat down, bedroom fan on. One c
GitHub - sashiko-dev/sashiko: Agentic review of Linux Kernel code changes
Sashiko (刺ã—å, literally "little stabs") is a form of decorative reinforcement stitching from Japan. Originally used to reinforce points of wear or to repair worn places or tears with patches, here it represents our mission to reinforce the Linux kernel through automated, intelligent patch review. Sashiko is an agentic Linux kernel code review system. It uses a set Linux kernel-specific prompts and
Powering the agents: Workers AI now runs large models, starting with Kimi K2.5
Powering the agents: Workers AI now runs large models, starting with Kimi K2.52026-03-19 We're making Cloudflare the best place for building and deploying agents. But reliable agents aren't built on prompts alone; they require a robust, coordinated infrastructure of underlying primitives. At Cloudflare, we have been building these primitives for years: Durable Objects for state persistence, Workfl
Product management on the AI exponential | Claude
Since Claude Sonnet 3.5 (new) in October 2024, I made a habit of testing every new model by asking Claude Code (an internal tool at the time) to add a table tool to Excalidraw. With each new model, Claude got a little further but still failed. Then, with the release of Opus 4 in June 2025, Claude started occasionally succeeding, enough that we turned the exercise into a pre-recorded demo for the C
Artificial Intelligence User Experience Design Patterns Guide
Artificial Intelligence User Experience Design Patterns An exploration of the UX design patterns applicable to designing effective experiences for AI. Sample Solution The below example shows how multiple patterns are compiled to create a complete user experience. This example is a simple yet familiar experience found in AI tools. Providing help, feedback & options once a result is generated. Compi
GitHub - pbakaus/impeccable: The design language that makes your AI harness better at design.
Anthropic created frontend-design, a skill that guides Claude toward better UI design. Impeccable builds on that foundation with deeper expertise and more control. Every LLM learned from the same generic templates. Without guidance, you get the same predictable mistakes: Inter font, purple gradients, cards nested in cards, gray text on colored backgrounds. Impeccable fights that bias with: An expa
You Need to Rewrite Your CLI for AI Agents
npx skills install jpoehnelt/skills/agent-dx-cli-scale Human DX optimizes for discoverability and forgiveness. Agent DX optimizes for predictability and defense-in-depth. These are different enough that retrofitting a human-first CLI for agents is a losing bet. I built a CLI for Google Workspace — agents first. Not “built a CLI, then noticed agents were using it.†From Day One, the design assumpti
My AI Adoption Journey
My experience adopting any meaningful tool is that I've necessarily gone through three phases: (1) a period of inefficiency (2) a period of adequacy, then finally (3) a period of workflow and life-altering discovery. In most cases, I have to force myself through phase 1 and 2 because I usually have a workflow I'm already happy and comfortable with. Adopting a tool feels like work, and I do not wan
How AI Impacts Skill Formation
How AI Impacts Skill Formation Judy Hanwen Shen∗ Alex Tamkin†February 3, 2026 Abstract AI assistance produces significant productivity gains across professional domains, particularly for novice workers. Yet how this assistance affects the development of skills required to effectively supervise AI remains unclear. Novice workers who rely heavily on AI to complete unfamiliar tasks may compromise th
Claude Code on the web / on desktop å‘ã‘ã®è¨å®šã‚’ã—㟠- yaakai.to
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Clinejection — Compromising Cline's Production Releases just by Prompting an Issue Triager | Adnan Khan - Security Research
To make sure it’s clear in the midst of the NPM package situation: I did NOT conduct overt testing on Cline’s repository. I conducted my PoC on a mirror of Cline to confirm the prompt injection vulnerability. A different actor found my PoC on my test repository and used it to directly attack Cline and obtain the publication credentials. The same actor used the credentials to publish an unauthorize
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https://openai.com/index/openai-to-acquire-astral/
GitHub - googleworkspace/cli: Google Workspace CLI — one command-line tool for Drive, Gmail, Calendar, Sheets, Docs, Chat, Admin, and more. Dynamically built from Google Discovery Service. Includes AI agent skills.
GitHub - aidenybai/react-grab: Select context for coding agents directly from your website
GitHub - Piebald-AI/claude-code-system-prompts: All parts of Claude Code's system prompt, 18 builtin tool descriptions, sub agent prompts (Plan/Explore/Task), utility prompts (CLAUDE.md, compact, statusline, magic docs, WebFetch, Bash cmd, security review
GitHub - vercel-labs/just-bash: Bash for Agents
GitHub - millionco/react-doctor: Let coding agents diagnose and fix your React code
GitHub - manaflow-ai/cmux: Open source Claude Code web/Codex Cloud/Devin alternative
GitHub - aaddrick/claude-desktop-debian: Claude Desktop for Debian-based Linux distributions
AgentMail | Email for AI agents
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