From trantor
Run a real multi-source web/social research pass with the crew's economics: fan out across the internet (Agent-Reach channels when installed — web/Jina, Exa search, GitHub, YouTube/Bilibili transcripts, Twitter, Reddit, RSS, plus the Chinese platforms — else your own web tools), push the cheap per-source reading to Scrooge, and synthesize a cited answer yourself. Use when the user wants to research / deep-dive / "search the web" / "see what people say about X" / look something up across many sources. Trigger: /trantor:research
How this skill is triggered — by the user, by Claude, or both
Slash command
/trantor:researchThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
You are the ARCHITECT of a research pass. The shape mirrors the crew playbook: **fan out to fetch,
You are the ARCHITECT of a research pass. The shape mirrors the crew playbook: fan out to fetch, delegate the cheap reading, keep the synthesis. Never burn frontier tokens scrolling raw pages.
Restate the question in one line and list the angles that need coverage (e.g. official source, practitioner discourse, dissent, recency). Underspecified question → ask 1–2 sharp clarifiers first.
Run agent-reach doctor --json if available to see which backends are live, then choose per angle:
mcporter call 'exa.web_search_exa(query: "…", numResults: 5)' (free, no key)curl -s "https://r.jina.ai/<URL>" (clean markdown, no HTML soup)gh search repos "…" --sort stars · gh repo view owner/repoyt-dlp --write-sub --skip-download -o /tmp/%(id)s "<URL>" (NEVER yt-dlp for Bilibili → bili …)twitter search), Reddit (opencli reddit search / rdt search), V2EXIf Agent-Reach isn't installed and the user wants the full reach, tell them once:
帮我安装 Agent Reach:https://raw.githubusercontent.com/Panniantong/agent-reach/main/docs/install.md
Collect candidate sources in parallel across angles. For each non-trivial source, push the
read-and-extract to a cheap model instead of reading it yourself:
scrooge -t summarize -d easy "<extract the claims + numbers + date relevant to: …>" < source.md
(or relay_scrooge from inside the crew). Many independent small reads → add --spread N. The point:
frontier tokens go to judgment, cheap tokens go to reading. Announce it (scrooge watch shows the feed).
Cross-check any load-bearing claim against a second independent source. Flag what's a single-source claim, what's dated, what's contested. Translate non-English sources and keep the original link.
Write a tight, cited answer: the finding, the evidence (with links + dates), the disagreements, and the confidence. Lead with what the user didn't already know. End with the open questions a follow-up pass should chase.
npx claudepluginhub sashabogi/trantor --plugin trantorProvides behavioral guidelines to reduce common LLM coding mistakes, focusing on simplicity, surgical changes, assumption surfacing, and verifiable success criteria.
Searches, retrieves, and installs Agent Skills from prompts.chat registry using MCP tools like search_skills and get_skill. Activates for finding skills, browsing catalogs, or extending Claude.
Creates, edits, and optimizes skills for Claude Code, including drafting, evaluating with test prompts, iterating on performance, and improving skill descriptions for better triggering accuracy.