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SpaceXAI just dropped a 10-page PDF on Skill Engineering - the 6-part blueprint for AI skills that still work on run 100: the shift: stop writing longer prompts. build a system your agent can actually follow the formula: skill = trigger + inputs + steps + check + output + gate here's how to build one in 6 parts: part 1 → trigger - when to use it and when not. a vague description and it never fires part 2 → inputs - every file, app and login it needs. one missing? stop, don't guess part 3 → steps - fixed order, rules written down. "if X, do Y" beats "use your judgment" part 4 → check - validate before it answers. no data or stale data = report it, never old numbers part 5 → output - facts, assumptions, done, pending. checkable in 30 seconds part 6 → gate - send, buy, delete, publish wait for your yes. drafts don't the result: a 10-minute screen recording gives you a draft. these 6 parts turn it into a skill you can put on a schedule this 10-page PDF gives you the template, 5 before/after rewrites and a copy-paste prompt that audits any skill save this, then read how to run 200+ cloud agents with 6 bots ↓

STOP CHATTING WITH YOUR GROK BOT it's not a chatbot. it's an employee. here are 10 jobs that already paid off $7,000+ → $4,000 in unclaimed money, found with one message → a full refund from a company that has no cancel button → 4 client meetings in one week, on autopilot the exact message for all 10 is on the poster. copy, paste, done people who keep chatting with their bot will pay for it. people who give it jobs get paid back save this, then read how to run 200+ cloud agents with 6 bots ↓

this is actually unreal.. I built my Grok Bots a real office. on a space station → see what every bot is doing live: coding, browsing, thinking or stuck. click one to see its task and full log → when a bot needs me, it lights up. approve or decline in one click → one task board for the whole crew: queued, in progress, done → a new bot plugs in with one MCP server and walks out of the airlock your agents shouldn't live in a terminal. give them a home and watch them work save this, then read how to run 200+ cloud agents with 6 bots ↓

there is no f*cking way.. SpaceXAI just dropped 17 FREE Grok Build plugins that turn one coding agent into an entire dev team. 345 tools on GitHub people pay $19 for one skill. here you get 150 skills, 5 agents, 59 browser tools and 131 web guides. $3,045 in skills, $0 to you already starred 380K times. you're late, not too late your agent writes code but can't see your design, open your database or read the error killing your signups 17 plugins you should install first: 1. superpowers → 15 skills to plan first, test first and debug properly. 304K stars, the most starred agent workflow on GitHub github.com/obra/superpowers 2. pstack → 58 skills and 2 agents from Cursor to investigate, design, review and verify before you ship github.com/cursor/plugins 3. modern-web-guidance → 131 how-to guides from Google, so your agent stops writing outdated web code github.com/GoogleChrome/mode… 4. figma → reads your real Figma designs and turns them into code github.com/figma/mcp-server-… 5. chrome-devtools → 59 tools that give your agent a live Chrome: clicks, network, performance, memory. 53K stars github.com/ChromeDevTools/ch… 6. browser-use → your agent clicks through your app in a real browser and QAs it github.com/browser-use/plugi… 7. supabase → database, auth and storage straight from the agent github.com/supabase-communit… 8. mongodb → 8 skills for schema design, queries, search and fixing slow queries github.com/mongodb/agent-ski… 9. stripe → Stripe's own payment best practices, upgrade guides and MCP server github.com/stripe/ai 10. firecrawl → turns any website into clean LLM-ready markdown github.com/firecrawl/firecra… 11. exa → real-time web search with sources github.com/exa-labs/exa-grok… 12. tavily → search, extract, crawl and run deep research github.com/tavily-ai/tavily-… 13. vercel → 37 skills, 3 agents and 4 commands for deploys, logs and domains github.com/vercel/vercel-plu… 14. cloudflare → 14 skills for Workers, Durable Objects and Wrangler github.com/cloudflare/skills 15. netlify → 12 skills for functions, edge, storage and deploys github.com/netlify/context-a… 16. sentry → pulls real production errors and stack traces into the agent github.com/getsentry/plugin-… 17. datadog → logs, metrics, traces and incidents in plain English github.com/datadog-labs/grok… pick 3 today: one that thinks, one that ships, one that catches bugs test each on one real task. if the output isn't better, uninstall it --trust lets a plugin run code on your machine. 2 minutes on the repo saves a bad week bookmark this. the tool you were about to build is probably already here send it to the dev who still debugs by pasting errors into a chat window ↓

my Claude agents just moved into their own house.. I built them a 4-floor home where I watch every agent work and boss them around in one click: → each agent lives on its own floor: library, workshop, server room, rooftop → nothing gets pushed or merged until I tap Allow → I can message any agent mid-task or throw a new task at it from the board → live tokens and $ for every agent, and I can rewind the whole session terminal logs are dead. this is how you run agents now save this ↓

THIS IS F*CKING INSANE.. I didn't write a single line of code. Opus 5.5 built this entire website, and it looks better than most $10k agency sites The Claude Atlas: 50 open-source repos that make Claude Code feel unfair, mapped as a galaxy you fly through → 50 repos with 3.4M stars, sorted by goal: save tokens, add memory, design, ship → 12 copy-paste prompts and 8 model combos like Opus + Haiku that most people never try → ready CLAUDE.md templates, hooks and subagents. drop them in and go one of those repos cuts 60-90% of the tokens Claude burns on command output theclaudeatlas.vercel.app free. go fly through it and steal what you need ↓

Anthropic just showed how to turn Claude into a coding machine 90%+ AI-written code contributions. 45x more code per engineer. here's the 5-step playbook: 1. → spec - define the exact task, files in scope and what "done" means. no vague instructions 2. → context - put your stack, coding rules, architecture and forbidden changes in CLAUDE.md. stop repeating yourself 3. → build - one task, one isolated branch, one clear finish line. let Claude implement without touching unrelated code 4. → verify - run tests, lint and type checks. for UI, demand screenshots. a second review catches what the first pass missed 5. → ship - every change needs passing checks, a reviewed diff and human approval before it reaches production the formula: Spec → Context → Build → Verify → Ship the goal isn't more AI-written code. it's more verified work with less human babysitting the full 5-step workflow is on the poster save this before your next Claude Code session ↓

Anthropic just dropped an 11-page PDF on killing security bugs before they're found - the 7-step Claude method that makes vulnerable code unreachable: the shift: stop hunting bugs one by one. shrink what an attacker can reach and every unknown bug inside it gets harder to hit the formula: Attack Surface = Reachable - Needed here's the method in 7 steps: step 1 → classify - public, gated or private. it decides what "too reachable" means step 2 → inventory - every entry point, every option. Anthropic's run mapped 17,000+ step 3 → defaults - code that runs out of the box but nothing uses. gate it step 4 → before login - code any stranger can trigger pre-auth. 93 needless surfaces in 11 gated projects step 5 → combos - 94 option combos that silently switched security off. reject them at load step 6 → prove it - a live trace for every finding. tests pass identical or it doesn't ship step 7 → 3 passes - fresh context each pass, short handoff, a human decides the rest the result: 25 projects, 5M+ lines, 493 issues. one combo that silently dropped a certificate check had shipped for 21 years this 11-page PDF has the 3 pass prompts, a ready skill file and the report format bookmark it before your next deploy ↓

you pay $200 a month for Claude Max. $160 of it is Claude waiting for you Anthropic measured it on their own engineers: 80% of every session, the agent just sits idle. the ones who fixed it now get 6x more agent hours than they work what they do differently: → they write the rules once. Anthropic's agents run on 8,500 standing instructions → they define "done" before the run starts → they let one agent review another → they hand off whole task types: tests, upkeep, migrations all of it maps to 8 settings already in Claude Code: 01 auto mode → no more approving every command 02 /goal → Claude keeps going until the condition is met 03 CLAUDE.md → say it once, not every session 04 plan mode → approve one plan, not 15 questions 05 reviewer subagent → read a verdict, not every line 06 Notification hook → get pinged only when it needs you 07 claude --bg → run sessions in the background 08 /loop → schedule the boring stuff start with 03, 06 and 01. takes 10 minutes the prompt below sets it all up for your repo ↓