skills went official
╔═══════════════════════════════════════╗
║ skills went official ║
║ ║
║ grassroots hack → ║
║ ░░░ three months ║
║ ║
║ official infrastructure → ║
║ ███ 24 hours ║
║ ║
║ your workflow just became code. ║
╚═══════════════════════════════════════╝
skills infrastructure goes mainstream
github.com/anthropics/skills + github.com/huggingface/skills
both anthropic and hugging face launched official skills repositories within 24 hours of each other. same naming, same pattern, two major AI labs blessing the same format.
three months ago, skills were a grassroots hack. coders writing markdown files to teach their agents custom workflows. no spec, no standard, just “here’s how i want you to behave when you see this file.”
now it’s official infrastructure. when two major labs release the same thing independently, it’s not a product — it’s a pattern. and when those labs are anthropic (safety-conscious research) and hugging face (open-source platform everyone uses), it’s a standard.
self.md angle: your workflow just became programmable. before: you’d prompt-engineer your preferences every session, hope the context window held, pray it didn’t forget. after: you write a SKILL.md file. the agent reads it. every time. no decay, no re-explaining. skills are durable configuration, not ephemeral prompts.
deep dive: skills went from grassroots hack to official infrastructure in 24 hours
claude code remote control
reddit.com/r/ClaudeAI/comments/1rdyhk4 + x.com/claudeai/status/2026418433911603668
claude code now supports remote control. start a task on your machine, continue from your phone or web browser while the agent keeps running locally. your terminal became a persistent compute layer you can detach from.
this shifts coding agents from synchronous tools to asynchronous coworkers. start a refactor, go for a walk, check back via phone. the barrier between “work time” and “life time” blurs when your agent doesn’t need you present to work.
self.md angle: agents as coworkers, not tools. the infrastructure is finally supporting “kick off a task and walk away.” remote control means your agent can be working while you’re not. the personal OS isn’t just reactive anymore — it’s proactive, persistent, detached from your presence.
qwen3.5-35b-a3b: local agentic coding on one gpu
reddit.com/r/LocalLLaMA/comments/1rdxfdu + huggingface.co/Qwen/Qwen3.5-35B-A3B
qwen3.5-35B-A3B runs on a single RTX 3090 and delivers competitive agentic coding performance with opencode. users report cloud-level tool use and code generation on consumer hardware.
cloud dependence was the last moat keeping personal AI from going fully sovereign. a 35B model on consumer hardware that actually works for agentic tasks means you can build your OS without an API bill or latency tax.
self.md angle: sovereign compute just crossed viability. most “personal AI” setups still phone home to openai or anthropic for every interaction. qwen3.5 means you can run a capable agentic system locally. no rate limits, no TOS violations, no company deciding whether you’re allowed to use your own AI.
clawsec: security suite for openclaw agents
github.com/prompt-security/clawsec
complete security skill suite for openclaw and nanoclaw agents. features include drift detection, live security recommendations, automated audits, and skill integrity verification.
when your OS runs in markdown and your agent has file access, security isn’t optional. clawsec addresses the “wait, can my agent be compromised?” question that everyone thinks about but nobody wants to debug manually.
self.md angle: if agents read markdown files for instructions, those files can be injected, modified, or maliciously crafted. clawsec is the first serious attempt at treating agent configuration as an attack surface. security for personal AI means: did someone change what my agent thinks it should do?
memu: memory for 24/7 proactive agents
persistent memory infrastructure specifically designed for 24/7 proactive agents like openclaw (moltbot, clawdbot). handles long-running context across sessions.
most agents forget between runs. if your agent is supposed to be your OS, amnesia every reboot isn’t acceptable. memu tackles the “how does my agent remember what i care about across days/weeks” problem.
self.md angle: durability matters. the personal AI OS needs memory that persists across sessions, reboots, updates. not just “context window” but “this is what i know about you, your projects, your preferences.” memu is infrastructure for agents that live longer than a single conversation.
lucidia: personal ai built on transparency
github.com/BlackRoad-AI/lucidia-platform
personal AI companion explicitly built on transparency, consent, and care. emphasizes “your AI that actually knows you” — positioning itself as ethical alternative to corporate assistants.
the backlash against chatgpt (#QuitGPT movement, 700K users reportedly leaving) shows people want AI that doesn’t treat them as data sources. lucidia’s framing — consent over surveillance, care over extraction — is the vibe personal AI needs to own.
self.md angle: ethics as differentiator. corporate AI optimizes for engagement, data extraction, and keeping you on-platform. personal AI should optimize for your goals, your privacy, your control. lucidia stakes out that position explicitly.
gitnexus: client-side code intelligence
github.com/abhigyanpatwari/GitNexus
zero-server knowledge graph creator that runs entirely in the browser. drop a github repo or zip file, get an interactive knowledge graph with a built-in graph rag agent. no backend, no API calls.
most code intelligence tools want your repo on their servers. gitnexus runs locally in-browser, meaning you can analyze private codebases without uploading anything. it’s the self-hosting ethos applied to code exploration.
self.md angle: zero-trust tooling. if your personal AI OS is supposed to be yours, the tools shouldn’t require uploading your code to someone else’s server. gitnexus proves you can do sophisticated analysis entirely client-side.
themes this edition
→ skills went from community hack to official infrastructure — anthropic + hugging face both blessing the format creates a de facto standard for extending AI agents
→ remote/async agent control unlocks “agent as coworker” workflows — start task, walk away, check back later. your agent doesn’t need you present
→ local agentic coding crossed viability threshold — qwen3.5 on single GPU means sovereign compute is now realistic
→ security and memory becoming explicit infrastructure problems — clawsec and memu address real gaps in making agents durable and safe
→ transparency/consent as differentiator vs corporate AI — lucidia’s positioning shows demand for AI that doesn’t treat you as a data source
edition curated: 2026-02-25
signals tracked: 577 raw → 532 after dedup → 7 selected