Turn an article URL into a clean, vault-ready markdown note with the defuddle CLI, stripping ads, navigation and comments and cutting 40-60% of tokens versus a raw fetch. Prefer it over a raw web fetch whenever the task is reading or ingesting a normal web article. Triggers: "/defuddle <url>", "clean import this page".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
The defuddle CLI (by kepano, MIT, v0.19.1) is installed globally via npm. Node is the only dependency.
# article → clean markdown on stdout
defuddle parse <url> --markdown
# with frontmatter (title/author/published/domain) — for the vault
defuddle parse <url> --markdown --frontmatter
# straight to a file
defuddle parse <url> --markdown --frontmatter --output "<path>.md"
defuddle parse <url> --markdown --frontmatter → draft.origin: external!), reindex, ≥1 inbound link (rules always-archive-artifacts-to-vault, no-orphan-notes-rule).^Error:, NOT the exit code.npm install -g defuddle first (node required). The skill syncs across the cluster; the binary does not.A .md URL → fetch it directly; JS-heavy SPAs, paywalls, logins → a regular web fetch or live-browser automation.
Like this skill? It is part of second-brain-starter-kit: the second brain we built for ourselves and run every day at Palo Alto AI Research Lab. Install the whole set with npx skills add tonydzi/second-brain-starter-kit. Everything is open source and free, so take what you need.
Flagships worth a look on their own: secondop-panel (a second opinion from a panel of external models), claude-memory-tidy (stop your agent's memory from rotting), telegram-mcp-kit (your own Telegram over MCP in about 15 minutes).
Author: Anton Dziatkovskii, Palo Alto AI Research Lab. Telegram @tonydzi - WhatsApp +1 341 222 9178 - X @Tony_Stef_
Engineers: want to test-drive this setup? Message me. I hand out free starter seeds to engineers who test and report back, and custom skill requests are welcome.
아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Run an autonomous consensus round between agent peers on several machines: they negotiate a decision over a shared channel and execute it without a human relaying messages. Use when multiple machines must agree on a change. Triggers: "/03", "work it out among yourselves", "find consensus". Wakes the human only for irreversible actions or a deadlock.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Recover a session after a hard crash (app died, machine rebooted, context lost mid-work): replay the turn-state ledger for the last requests, files and decisions, run a green/red health ping over the system map, file sync and MCP connectors, then rebuild the previous session history for pickup. Triggers: "/1", "resume after crash", "wake".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Show the operator's day: today's calendar plus what needs them personally (leads due, people awaiting a reply, deadlines), pulled from Calendar and Telegram and ranked. Read-only: sends and commits nothing. Triggers: "/agenda", "what's on today", "my agenda".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Rewrite machine-written text so it reads like a busy human wrote it: cut 50-70%, break the even rhythm, drop AI-tell words and filler, keep facts and protected terms. Use before publishing any post, reply or email drafted by a model. Triggers: /ai-slop, /slop, humanize, anti-slop, make it shorter and alive.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Decision protocol for strategic work: recall the knowledge vault, run a gap analysis, emit a deep-research prompt for external tools, then synthesize the returned reports into a decision memo. Use before any new product, feature, market, pricing, GTM or architecture call, where local recall alone is not enough. Triggers: "/alfa-search-recall-deepresearch", "alpha protocol", "R+DR".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
- КРЕДИТ АВТОРУ ИДЕИ: совет из комментария (TG @ClawRus / @ClawInga, комменты под постами Антона в FB, треды и issue на… Триггеры: “/alpha-credit“, “/credit“, “кто нам это посоветовал“, “запиши совет“, “поблагодари советчиков“, “кому мы должны спасибо“, “кредит автору“, “чей это был совет“, “credit the author“
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.