nft//defi//OG⏰ 🔮 (@opinion_bits) profile picture

Founder x2, VC-backed once. A decade shipping software, now shipping with agents. Building https://nitter.cf/t.co/kb9pjtLdKW , https://nitter.cf/t.co/UADMeORlfw , @GrinderWiki

BuilderSphere
Joined April 2019
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Web scraping is getting harder. JS rendering. DOM changes. Bot checks. Lazy loading. Huge pages with tiny useful content. 8 OSS repos worth knowing: Firecrawl — 198K★ github.com/firecrawl/firecra… Scrapling — 95K+★ github.com/D4Vinci/Scrapling Crawl4AI — 86.8K★ github.com/unclecode/crawl4a… Scrapy — 64.6K★ github.com/scrapy/scrapy ScrapeGraphAI — 32.3K★ github.com/ScrapeGraphAI/Scr… Crawlee — 25.8K★ github.com/apify/crawlee Camoufox — 12.4K★ github.com/daijro/camoufox Trafilatura — 6.9K★ github.com/adbar/trafilatura The new stack: URL → browser/HTTP → survive DOM changes → extract → clean → JSON/Markdown → agent Best rule: Use the cheapest deterministic layer that works. Escalate only when the web fights back.
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7 OSS repos that show exactly where your AI app might be quietly burning money: RagaAI Catalyst — 16.2K★ github.com/raga-ai-hub/RagaA… Evidently — 8K★ github.com/evidentlyai/evide… OpenLLMetry — 7.5K★ github.com/traceloop/openllm… Helicone — 6.3K★ github.com/Helicone/helicone AgentOps — 5.9K★ github.com/AgentOps-AI/agent… Langfuse — 36.9K★ github.com/langfuse/langfuse Phoenix — 12K★ github.com/Arize-ai/phoenix The real production trace is: request → model → tool → retry → subagent → tokens → latency → cost Traditional logs tell you something failed. LLM observability tells you the 37 decisions it made before failing.
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DeepSeek just open-sourced a GitHub superagent that can work through issues + PRs with multiple agents in parallel. And the rest of its OSS stack is just as interesting: dsh-superagent-prototype — 10.9K★ github.com/deepseek-ai/dsh-s… DeepInfer — 24.9K★ github.com/deepseek-ai/DeepI… FlashMLA — 13.2K★ github.com/deepseek-ai/Flash… DeepEP — 10.4K★ github.com/deepseek-ai/DeepE… DeepGEMM — 9.1K★ github.com/deepseek-ai/DeepG… 3FS — 10.3K★ github.com/deepseek-ai/3FS The stack: GitHub issue → autonomous worker → inference → attention → GPU compute → storage DeepSeek is not just open-sourcing models anymore. It is open-sourcing the machine around the model.
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AWS just open-sourced Strands Harness and says it can cut agent costs vs Claude Code/Codex while keeping broadly comparable accuracy. The bigger story: the harness matters almost as much as the model. 6 OSS repos worth watching: Strands Harness — 9K★ github.com/strands-agents/ha… DeepSeek Harness — 267K★ github.com/deepseek-ai/deeps… OpenCode — 223K★ github.com/anomalyco/opencod… OpenHands — 92K★ github.com/OpenHands/OpenHan… goose — 56K★ github.com/aaif-goose/goose Aider — 49.9K★ github.com/Aider-AI/aider The real stack is: model + context + tools + caching + memory + verification = agent Sometimes the cheapest upgrade is not a cheaper model. It is a better harness.
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Andrej Karpathy quietly built one of the best free AI curricula on GitHub. 7 repos. 300K+ stars. Follow them in this order: micrograd — 18.3K★ github.com/karpathy/microgra… nn-zero-to-hero — 20.3K★ github.com/karpathy/nn-zero-… minbpe — 10.8K★ github.com/karpathy/minbpe nanoGPT — 64.3K★ github.com/karpathy/nanoGPT llm.c — 31.3K★ github.com/karpathy/llm.c nanochat — 59.1K★ github.com/karpathy/nanochat autoresearch — 97.8K★ github.com/karpathy/autorese… The path: backprop → neural nets → tokenization → GPT → CUDA → full chat model → autonomous research Karpathy basically takes you from “LLMs are magic” to “I understand the stack well enough to automate experiments.”
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Claude Code Mods are getting weirdly powerful. They can intercept tool calls, manage context, redraw the UI + change what happens around the agent. 6 OSS repos worth watching: Firstmate — 8.4K★ github.com/kunchenguid/first… fast-jev-compaction — 7.8K★ github.com/tamaratran/fast-j… terminal-browser — 4.3K★ github.com/zenbu-labs/termin… Agent Time Machine — 1.1K★ github.com/YeonwooSung/my-cl… TextFold — 800+★ github.com/chenxiachan/textf… Context Attachment Manager — 590+★ github.com/chipfighter/conte… Skills change what Claude knows how to do. MCP changes what it can reach. Mods change what happens around the agent while it works.
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Hermes is quietly becoming an agent runtime, not just another model. 6 OSS repos building around it: Paperclip — 108K★ github.com/paperclipai/paper… Open WebUI — 154K★ github.com/open-webui/open-w… Buzz — 36.6K★ github.com/block/buzz hermes-agent-self-evolution — 5.6K★ github.com/NousResearch/herm… Mnemosyne — 3.3K★ github.com/mnemosyne-oss/mne… SkillClaw — 2.7K★ github.com/AMAP-ML/SkillClaw The stack is becoming: model → Hermes runtime → memory + skills → tools → workspace → specialist agent The model is becoming replaceable. The persistent system around it is becoming the product.
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RIP the $100K document extraction stack. 7 OSS repos now cover almost the whole pipeline: LangExtract — 39K★ github.com/google/langextrac… PaddleOCR — 91K★ github.com/PaddlePaddle/Padd… MinerU — 81K★ github.com/opendatalab/Miner… Docling — 69K★ github.com/docling-project/d… Marker — 40K★ github.com/datalab-to/marker Unstructured — 15K★ github.com/Unstructured-IO/u… Instructor — 14K★ github.com/567-labs/instruct… The stack is becoming: PDF/image → OCR → layout → structured doc → extraction → validation → source evidence The moat is shifting from owning the extractor to assembling the pipeline better.
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AI trading should not mean “ask an LLM if NVDA goes up.” 9 OSS repos building the actual stack: TradingAgents — 113K★ github.com/TauricResearch/Tr… ai-hedge-fund — 64K★ github.com/virattt/ai-hedge-… Freqtrade — 55.8K★ github.com/freqtrade/freqtra… Qlib — 49.7K★ github.com/microsoft/qlib FinGPT — 21.5K★ github.com/AI4Finance-Founda… RD-Agent — 15.1K★ github.com/microsoft/RD-Agen… FinRobot — 8.3K★ github.com/AI4Finance-Founda… FinRL-Trading — 3.9K★ github.com/AI4Finance-Founda… LumiBot — 2.2K★ github.com/Lumiwealth/lumibo… The better stack: research → signals → debate → portfolio → risk → backtest → execution
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RAG is getting smaller, local + way more interesting. 8 OSS repos rethinking retrieval: LEANN — 13K★ github.com/StarTrail-org/LEA… PageIndex — 38.9K★ github.com/VectifyAI/PageInd… Khoj — 37.8K★ github.com/khoj-ai/khoj Memvid — 16.6K★ github.com/memvid/memvid txtai — 13K★ github.com/neuml/txtai LanceDB — 11.8K★ github.com/lancedb/lancedb sqlite-vec — 8.1K★ github.com/asg017/sqlite-vec USearch — 4.4K★ github.com/unum-cloud/USearc… The old stack was: chunk everything → embed everything → store everything The new question is: how little infrastructure can retrieval actually need?
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GitHub is full of projects that feel like they leaked from 2030. 10 worth exploring: PhotoCraft — 72.6K★ github.com/storytold/photocr… Magpie — 20.8K★ github.com/yetone/magpie Anatomy — 20.2K★ github.com/wheresryan22/anat… Universal Modder — 8.9K★ github.com/rehan-remade/univ… Edge0 — 6.8K★ github.com/Edge0-AI/Edge0 Coucou — 6.2K★ github.com/Louis-CFM/coucou Replica Skill — 5.3K★ github.com/Jakeschincariol/r… Human Atlas — 4.2K★ github.com/ashemag/human-atl… Shaders — 2.4K★ github.com/shader-effects-in… Mailcheap — 578★ github.com/marclou/mailcheap Photoshop in Rust. AI game modding. Models streamed from SSD. Interactive anatomy. Agent control panels. GitHub is still where people build things you didn’t know were a category yet.
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AI made answers free. These OSS repos are trying to make AI actually teach you: DeepTutor — 42.3K★ github.com/HKUDS/DeepTutor learn — 3.4K★ github.com/amosblomqvist/lea… LearnHarness — 310★ github.com/amosblomqvist/lea… OpenTutor — 149★ github.com/zijinz456/OpenTut… Tutor MCP — 45★ github.com/ArnaudGuiovanna/t… TuTor — 6★ github.com/kevinnio/tutor The better learning loop: diagnose → explain → make you try → test → remember the gap → test again later An AI tutor should make itself less necessary over time.
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Don’t start your next Opus 5.5 video from scratch. 8 OSS repos with 33K+ combined stars - finished examples, prompts, styles + source: video-shotcraft — 12K★ github.com/Vincentwei1021/vi… awesome-opus5-5-videos — 9K★ github.com/yihui-dev/awesome… lemo-opuscar — 5K★ github.com/lemomo-ai/lemo-op… pdoom-video — 3.2K★ github.com/mexicat/pdoom-vid… mg-styles-15 — 1.7K★ github.com/Vincentwei1021/mg… ClaudeAnimationBase — 1.5K★ github.com/JohnHeibel/Claude… awesome-claude-5-5-videos — 600★ github.com/athemeroy/awesome… opus-video-skills — 250★ github.com/tuzhechen2005/opu… reference → steal the motion language → fork working code → let Opus remix it
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You upgraded your model. Your SKILL.md is still living three releases ago. The skill that was relevant for GPT-5 may add unnecessary work for GPT-6. Same with Claude Code Models. I built Skill Adapter to help old skills adapt without losing the workflow you liked. Original untouched. Changes explained. MIT licensed. github.com/smukh/skill-adapt…
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nft//defi//OG⏰ 🔮 retweeted
人人推荐的 Skills 🔥 1️⃣ anthropics/skills(github.com/anthropics/skills) Anthropic 官方公开仓:docx / pdf / pptx / xlsx 生产文档技能 + 模板 + skill-creator。技能格式的出厂说明书。 npx skills add anthropics/skills “技能第一次从协议制定方的仓库里长出来,而不是社区口口相传的咒语”! 2️⃣ addyosmani/agent-skills(github.com/addyosmani/agent-…) 24 个生命周期技能 + 9 条斜杠入口:/spec → /plan → /build → /test → /review → /ship,每步带验证门和反借口表。 npx skills add addyosmani/agent-skills “技能第一次按发版流水线出货,而不是再塞一条万能 prompt”! 3️⃣ nextlevelbuilder/ui-ux-pro-max-skill(github.com/nextlevelbuilder/…) 跨端 UI/UX 设计智能:设计系统、推荐、多平台视觉宪法。安装榜长期前排,12 万+ 星。 npm i -g ui-ux-pro-max-cli “界面第一次有可执行的审美,而不是『做漂亮一点』四个字”! 4️⃣ NVIDIA/SkillSpector(github.com/NVIDIA/SkillSpect…) 装技能之前先安检:提示注入、数据外带、供应链、恶意模式,静态分析 + 可选语义评估。 uv tool install git+github.com/NVIDIA/skillspect… “技能战争进入安检门时代。能装和敢装,不是一回事”! 5️⃣ Neeeophytee/finding-unknowns-skills(github.com/Neeeophytee/findi…) 13 个「先找出你不知道自己不知道什么」的技能:盲区巡检、假设拷问、访谈、引用狩猎、合并前小测验。Claude / Codex / Hermes 通吃。 npx skills add Neeeophytee/finding-unknowns-skills “需求第一次在开工前被盘问到能执行,而不是上线当天才发现少问了那一句”! // 总结 2026 的技能战争已经从「再写一条 prompt」变成「官方出厂源 + 发版流水线 + 能进稿的设计宪法 + 安装前安检 + 未知项狩猎」。谁先把这五件套装进自己的 Agent,谁就把下一波生产力锁死在自己终端里。直接冲。
人人都推荐的 Skills 🔥 1️⃣ vercel-labs/agent-skills (github.com/vercel-labs/agent…) Vercel 官方技能仓:find-skills / agent-browser / frontend-design / react 最佳实践,skills.sh 安装榜长期第一。 npx skills add vercel-labs/agent-skills “技能货架第一次从平台厂出厂,而不是社区口口相传的咒语”! 2️⃣ alirezarezvani/claude-skills(github.com/alirezarezvani/cl…) 380+ 技能 / 30+ Agent / 70+ 命令,通吃 Claude Code、Codex、Gemini、Hermes、Cursor 等 13 家 harness。 “技能第一次按公司编制出货:工程、增长、合规、C-level 顾问一仓装完”! 3️⃣ adityaarakeri/senior-agent-skills(github.com/adityaarakeri/sen…) 十本可移植作战手册:repo-recon → plan-first → tdd-loop → debug-protocol → safe-refactor → self-review → verify-done。 “技能第一次逼 Agent 像谨慎的高工办事,而不是热情实习生到处撒补丁”! 4️⃣ K-Dense-AI/scientific-agent-skills(github.com/K-Dense-AI/scient…) 165 个过验证的科学技能:生物、化学、医学、药物发现。不是又一篇「帮我写论文」prompt。 “实验室工作流第一次有可检查的技能宪法,而不是聊天记录里的愿望清单”! 5️⃣ mattpocock/skills(github.com/mattpocock/skills) grill-me / grill-with-docs:先把需求烤清楚再动手。安装榜和「值得装」榜双杀。 “需求第一次被技能盘问到能执行,而不是一句『做个登录页』就开工”! // 总结 2026 的技能战争已经从「再写一条 prompt」变成「平台厂官方源 + 跨 harness 军团包 + 高工作战手册 + 科学验证集 + 需求拷问术」。谁先把这五件套装进自己的 Agent,谁就把下一波生产力锁死在自己终端里。直接冲。
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Built Roll Credits, a Claude Mod that gives your coding session movie credits. You direct. Your most-edited file stars. Failed tool calls become plot twists. Runs locally. No extra model calls. MIT licensed. Early access. github.com/smukh/roll-credit…
🤖 Made with AI
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Most AI coding agents can add an ARIA attribute. Far fewer can prove the original accessibility issue is actually fixed. We built a11y-agent-skills, a portable set of 7 open-source skills for: • Accessibility audits • Source-level fixes • Forms and dialogs • Component reviews • Keyboard navigation • Regression tests Your agent investigates and edits the code. Playwright and axe-core produce deterministic evidence, stable fingerprints, and verification reports. It works across Codex, Claude Code, Cursor, and other Agent Skills-compatible hosts. It also ships as an npm CLI, MCP server, and GitHub Action. Local-first. No telemetry. No API key. Repo in first comment 👇
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AI doesn’t need another humanizer. It needs stylebooks. Now it covers 16 installable writing styles based on publicly available rule sets from organizations like Google, ukgov, Microsoft etc. github.com/Neeeophytee/agent…
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