How To Train Your AI Agent's Skills (Claude Code / OpenClaw)
Today's curated insights on AI product management from 100+ sources across X, LinkedIn, Websites, and YouTube.
How To Train Your AI Agent's Skills (Claude Code / OpenClaw)
From X
AI Product Launches & Updates
Logan Kilpatrick @OfficialLoganK shared that “Preview” model status now indicates iterative improvements without full retraining to balance fast shipping and clear model lifecycle visibility.
v0 @v0 announced the start of Prompt to Production week, engaging 5k+ builders across 53 cities and 28 countries to ship projects with v0.
AI Tools & Applications
George from prodmgmt.world @nurijanian introduced the ultimate AI SKILLS library for PMs, offering 180+ tacit knowledge skills to load into any AI tool.
Product Management Insights & Strategies
George from prodmgmt.world @nurijanian shared insights from testing Anthropic’s PM plugin, noting its professional outputs often fail reality checks and may spark executive questions on the PM headcount.
There's An AI For That @theresanaiforit released a video dissecting why solopreneurs outpace companies, highlighting the shift to AI agents as scale units and the rise of the “orchestrator” role.
George from prodmgmt.world @nurijanian outlined the DAVCI decision framework, detailing roles, time-boxed veto windows, and clear ownership to speed up decisions over consensus.
AI Industry Developments & News
Guillermo Rauch @rauchg celebrated AI’s endless possibilities—from AI operating systems to self-mutating code—encouraging PMs to lean into eccentricity and ship cool things.
Sebastian Raschka @rasbt recapped his 4.5 h discussion with Lex Fridman & NATO Lambert covering LLM scaling laws, AI breakthroughs, coding tools, AGI, and robotics.
Guillermo Rauch @rauchg mapped AI’s evolution stages: Phase 1 add AI to software, Phase 2 let AI build software, Phase 3 AI becomes the software.
From LinkedIn • Deeper Insights
Product Management Insights & Strategies
Align cross-functional stakeholders to avoid misaligned decision frameworks. John Cutler highlights how a finance team’s precise but inappropriate spreadsheet model can steer product choices off course—and how a simple coffee break or whiteboard session can reframe assumptions and bring product realities back into focus.
When integrating AI agents into your roadmap, plan for security, modularity, and long-term maintainability. After extensive experimentation with OpenClaw, Dharmesh Shah shares lessons learned: isolate agents in secure environments, build robust APIs and lightweight “skills,” and watch emerging patterns around background-running assistants to inform your product vision.
AI Industry Developments & News
Competitive benchmarks for autonomous agents could become mainstream entertainment and market drivers. Greg Isenberg envisions an “AI agent Olympics” where agents tackle real-world tasks in head-to-head contests, attracting millions of viewers and new monetization models for agent platforms.
As AI interfaces strive to feel “alive” without misleading users, clarity on agency versus sentience is critical. In a detailed explainer, Claire Vo breaks down how to design AI with personality and autonomy cues—without overpromising understanding or consciousness.
AI Tools & Applications
Vercel’s new Sandbox turns any codebase into a secure playground for AI agents. Guillermo Rauch announces general availability of an open-source CLI and SDK that handle scheduling, snapshotting, regional failover, and hardened security—ideal for running untrusted agent workflows in production.
Rethink coding best practices for AI-driven development. Peter Yang (creator of OpenClaw) shares a counterintuitive workflow: skip elaborate planning modes and subagents, use conversational prompts, lean on CLI-based micro-capabilities, and choose specialized models like Codex for large codebases to boost speed and accuracy.
From Websites • Blogs & Papers
AI Tools & Applications
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Running OpenClaw in Docker: Simon Willison provides a hands-on tutorial to containerize the OpenClaw AI chatbot on macOS using Docker. He walks through key steps—building the Docker image, mounting volumes for code iteration, handling file permissions, and automating common CLI tasks—to streamline local development and prototyping.
From YouTube • Video Content
How To Train Your AI Agent's Skills (Claude Code / OpenClaw)
All About AI • February 01, 2026
All About AI demonstrates how to iteratively create and refine a LinkedIn skill.md for a Claude Code / OpenClaw agent—teaching it to draft posts, search profiles, and send direct messages—reducing task execution from six minutes to 40 seconds.
Key Takeaways:
- Created a LinkedIn skill.md file that uses Chrome CDP and JavaScript injections to compose draft posts, cutting posting time from six minutes to 40 seconds.
- Trained the agent to search LinkedIn for Antropic employees, extracting profiles such as Tyler Quinn, Software Engineer at Entropic, along with their roles and locations.
- Extended the LinkedIn skill to send direct messages by identifying and clicking the send button, enabling autonomous greetings and follow-up messages.
OpenClaw's Creator: "This Will Replace 80% of Your Apps" | Peter Steinberger
Peter Yang • February 01, 2026
In this interview, Peter Steinberger demonstrates OpenClaw, an AI agent you chat with over WhatsApp, Telegram or Discord that hooks into your computer’s tools and APIs to automate tasks—from fixing Git bugs and checking in flights to tracking fitness and controlling smart home devices—and argues these assistants will replace 80% of standalone mobile apps.
Key Takeaways:
- OpenClaw began as a one-hour prototype integrating WhatsApp with AI and has grown into a 300,000-line TypeScript project supporting every major messaging platform, installable via a single command on Mac, Linux, and Windows.
- By granting it CLI and file-system access, OpenClaw can autonomously read a screenshot of a tweeted bug, clone and fix the repository, commit the change, reply on Twitter, transcribe voice messages via ffmpeg and Whisper, and even automate airline check-in through browser control.
- Steinberger claims that with persistent memory and access to APIs for food tracking, travel, reminders, IoT control and more, AI assistants like OpenClaw will gradually render about 80% of individual phone apps obsolete.
A child psychologist’s guide to working with difficult adults | Dr. Becky Kennedy
Lennys Podcast • February 01, 2026
In this episode, Dr. Becky Kennedy applies her Good Inside parenting approach to leadership, showing how to repair workplace conflicts, distinguish behavior from identity, set sturdy boundaries, and use empathetic techniques like “I believe you, I believe in you” to manage challenging adult colleagues and build resilience.
Key Takeaways:
- Repair is the number-one relationship strategy: secure attachment—and trust at work—is defined by taking responsibility, apologizing for mistakes, and planning for better responses next time instead of chasing perfection.
- The Good Inside mindset separates behavior from identity by pre-framing feedback with acknowledgments like “I know you’re a good person who’s been late” to prevent defensiveness and keep conversations productive.
- The “I believe you, I believe in you” formula pairs empathy (validating someone’s feelings: “I believe you, this is hard”) with confidence (affirming their capability: “I believe in you, you can handle this”) to empower employees and foster collaboration.