I Built Deepseek Stack that makes DS 4.1 Flash perform like Opus!

Join this channel to get access to perks: https://www.youtube.com/channel/@aicodeking/join DeepSeek Stack on GitHub: https://github.com/aicodeking/deepseek-stack PandaCode: https://github.com/aicodeking/pandacode Cline Desktop: https://cline.gg/desktop-aick ClinePass: https://cline.gg/clinepass-aick In this video, I'll be showing you DeepSeek Stack, my open-source pack of 29 ds- agent skills that fix the habits holding DeepSeek V4.1 Flash back, so it gets to around 80 percent of what Opus 5.5 does in my daily work while staying fast and super cheap. I'll start with the price difference and how to install it with one npx skills command, then set it up in PandaCode with DeepSeek's own harness, thinking on max, and show where Cline and the $9.99 per month ClinePass plan fit in. After that, I'll walk through every command: the core skills, the loops like plan-loop, verify-loop, unstick, review-loop, jury and best-of-n, the build and design skills, and the ship and understand skills. Finally, I'll show how I use them day to day and be fair about where Opus still wins. -- Key Takeaways: ð DeepSeek Stack is 29 open-source ds- skills under the MIT license, installed with one command: npx skills add aicodeking/deepseek-stack. ð ¸ Opus 5.5 costs $4 / $20 per million input / output tokens, while DeepSeek V4.1 Flash off-peak costs 15 cents / 60 cents, and even at peak it's more than 13à cheaper on input and 16à on output. ð §  The gap from 60 to 80 percent was never about smarts, it was habits: no plan, saying "fixed" without running the test, retrying the same broken idea, and forgetting the goal. â ï¸ In PandaCode, DeepSeek runs through its own dsh harness; pick V4.1 Flash and set thinking to max, because thinking off dropped the score by almost 30 points. â /ds-mode is the always-on working style, /ds-plan-loop plans in small checked steps, /ds-verify-loop runs the real check, and /ds-unstick stops the model from looping on a broken idea. ð ¥ /ds-review-loop and /ds-jury get fresh-context reviews, and with ClinePass ($9.99 a month) you can send them out as read-only Cline workers on Kimi K3.1 Pro and GLM 5.3 from PandaCode. â ¡ /ds-best-of-n runs three to five attempts in parallel and merges the best parts, which is cheap with DeepSeek but hurts with Opus. ð ¨ The build skills cover sharpen, blueprint, TDD, blast-radius and much better design skills, because DeepSeek's default frontends are not great. ð The ship and understand skills handle PRs, watching CI, adopting old branches, catch-up summaries, lessons and unslop with the GitHub CLI. â  ï¸ It doesn't turn DeepSeek into Opus 5.5: on the really hard stuff Opus still wins, and the 80 percent is my own feel, not a benchmark. ð Verdict: a plan, a real check, a rule to stop and fresh eyes make DeepSeek V4.1 Flash feel really close to Opus for most work, while being fast and costing pennies. -- Timestamps: 0:00 - DeepSeek V4.1 Flash at 80% of Opus 5.5 1:46 - The price difference 2:36 - Installing DeepSeek Stack 3:09 - Setup in PandaCode with DeepSeek (dsh, thinking max) 3:56 - Cline and ClinePass 4:26 - Core skills: ds-mode, ds-principles, ds-help 5:59 - Loops: plan-loop, verify-loop, unstick, context-reset, ledger 8:08 - Review loop and jury with Cline workers 8:55 - Best-of-n and swarm 9:28 - Build and design skills 11:26 - Ship skills 12:44 - Understand skills 13:19 - How I use them day to day 13:52 - Being fair: where Opus still wins 14:42 - Verdict