We just crossed 50,000 members 🎉. Today. Not a projection. Not a “coming soon” slide. That number broke because Jake showed up with ICM and actually shipped it into a room that doesn’t treat people like leads. The welcome here isn’t a drip sequence. It’s people answering questions, sharing the folder, and sticking around after the first win. Most communities rent attention. This one compounds it. Jake’s ICM didn’t land in a vacuum - it landed in a stack that already preferred transparent workflows over vendor theater. Members didn’t just buy. They stayed, tested, and pulled the next person in. From empty chairs to a milestone that pays people back. Stop chasing the next shiny cohort. Start owning the room that keeps grinding after the launch email dies. If you’re in, say what you got out of it. If you’re watching, the door’s still open.

Credit: @HermesWatcher — original post: https://x.com/HermesWatcher/status/2105311718825947418 Most agents still wake up with amnesia. Skills are how you stop renting memory and start owning a stack you can inspect. Hermes Agent (Nous Research, MIT, folder-based) loads these as SKILL.md packages. Ranked by stars. Audit before you install. 1. SUPERPOWERS — 293,062 stars Agentic engineering: plan, code, test, ship. https://github.com/obra/superpowers 2. ANTHROPIC SKILLS — 179,036 stars Official library: docs, PDFs, sheets, decks, general agent work. https://github.com/anthropics/skills 3. UI UX PRO MAX — 131,683 stars Design intelligence for layouts and product interfaces. https://github.com/nextlevelbuilder/ui-ux-pro-max-skill 4. GRAPHIFY — 122,518 stars Turns code, docs, schemas, configs, PDFs into a queryable knowledge graph. https://github.com/Graphify-Labs/graphify 5. CLAUDE-MEM — 94,963 stars Persistent memory across sessions. Stop the amnesia loop. https://github.com/thedotmack/claude-mem 6. ARCHIFY — 74,387 stars Architecture, workflow, sequence diagrams — validated, not vibe-drawn. https://github.com/tt-a1i/archify 7. LAST30DAYS — 63,212 stars What people are saying now on Reddit, X, YouTube, HN, Polymarket, the web. https://github.com/mvanhorn/last30days-skill 8. OPENMONTAGE — 61,909 stars Agent-assisted video production, end-to-end pipelines. https://github.com/calesthio/OpenMontage 9. HUMANIZER — 52,928 stars Scrubs obvious AI-writing tells. Makes text sound like a person. https://github.com/blader/humanizer

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Most free AI courses are a teaser. A few videos. Then a paywall. Anthropic’s Academy is not that. Thirteen courses. Listed at $0. Built by the team that ships Claude. No subscription. No upsell after the last lesson. That is worth an evening. Not because a certificate will hire you. Because the work teaches how the model fails, not just how to chat with it. If you just landed in Clief Notes and you still treat Claude like a smarter search box, start here. You do not need to be a developer. You do need one loop you can finish. Three tracks - AI Fluency. How to think with the model. Where it lies. Where it helps. Everyone starts here. - Developer. API, Claude Code, MCP. User to builder. - Specialized. Students, educators, nonprofits, AWS, Google Cloud. Only after 101. The instinct to kill: skipping Fluency and jumping to agents. That instinct is wrong. You will ship slop faster. Where to start tonight New to AI: Claude 101, then AI Fluency: Framework and Foundations. Want to build: Building with the Claude API, then Introduction to MCP. Education or nonprofit: Claude 101, then your specialized course. Most courses are 1 to 4 hours. Two in a weekend is enough. How you get in 1. Open Anthropic Academy on Skilljar. 2. Make a free account. 3. Pick a course marked $0. 4. Finish the lessons. 5. Download the certificate if you want the paper. https://anthropic.skilljar.com/ The certificate is a bonus. The useful part is a working sense of when Claude is wrong. That is the skill that compounds. Do Claude 101 this weekend. Bring back one thing that broke your current prompt habit. Drop it under this post. I want the boring version, not the certificate screenshot.

Ori Eval is live on OpenRouter. If you already route models through OR, this is the systematic version of "should we switch." Public benches and Twitter recs measure a fixed task set. They tell you how a model behaved on someone else's prompts, someone else's tools, someone else's budget. With 500+ models on OpenRouter, "just switch to the new one" is expensive guesswork. Same leak as picking a CMS because a roundup said it was number one. OpenRouter shipped Ori Eval for that. It is not a leaderboard. It is a way to score models on your app. What it actually does: - Scans the repo for every place a model gets called - Asks what you care about: accuracy, latency, cost, tool-call correctness, whatever you name - Writes a *.eval.ts file. You do not have to be an eval person - Runs your agent against candidate models through OpenRouter, so the comparison can cross labs - Pins the harness and the model for the run. If the score moves, it is the model, not the furniture shifting - Checks whether tools were called or not, and grades open-ended answers with an LLM judge - Can sit in CI so a worse model does not ship. Re-run when a new one drops The sample they show is a table: catch rate, p50 latency, dollars per PR, pass/fail against your criteria. Then a recommendation, plus a cheaper "value" pick if volume grows. I have not run this on my agents yet. Treating it as garage until someone in here drops a real table. Cost is real. It calls live models. OpenRouter's own skill says 10 to 30 minutes and it can spend more than the credit on the key. First pass lands in a throwaway workspace. The eval is not yours until you decide to keep the file. Try it Tell your coding agent: run curl -fsSL https://openrouter.ai/skills/spawn-ori-eval and follow the instructions in its output to get started Already on the OpenRouter MCP? /spawn-ori-eval By hand: curl -fsSL https://openrouter.ai/labs/ori/install.sh | bash