agentleFS
sashabogisashabogi/trantor/skills/research/SKILL.md

research

Skill1 starsChanged 32 days agoMITView on GitHub

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

189 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use daily-arxiv, exp-eval and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • LambenthanSkill

    daily-arxiv

    每日从 arXiv 拉取新论文,过滤相关性,auto-ingest 高优先级论文,检测 SOTA 更新

    Also in 5 projects that use this

  • LambenthanSkill

    exp-eval

    实验判决门:Review LLM 独立评判实验结果 → 4 种判决路径 → 自动更新 claims confidence、ideas status、graph edges

    Also in 5 projects that use this

  • truongtv22Skill

    Problem-Solving Techniques

    Apply systematic problem-solving techniques for complexity spirals (simplification cascades), innovation blocks (collision-zone thinking), recurring patterns (meta-pattern recognition), assumption constraints (inversion exercise), scale uncertainty (scale game), and dispatch when stuck. Techniques derived from Microsoft Amplifier project patterns adapted for immediate application.

    Also in 5 projects that use this

  • liufeng1976Skill

    setup-ts-deep-modules

    Wire dependency-cruiser into a TypeScript repo so each package is a deep module — implementation hidden in subfolders, reachable only through its entry-point files. User-invoked.

    Also in 43 projects that use this

  • skyllwtSkill

    exp-pilot-eval

    Pilot result evaluation — read pilot results, apply success criteria, update idea page (pilot_result, failure_reason if failed), generate PILOT_VERDICT_REPORT. Called by /ideate Phase 5 after /exp-pilot-run.

    Also in 4 projects that use this

  • skyllwtSkill

    exp-pilot-run

    Pilot experiment execution — read Pilot Spec YAML, write pilot code, run experiment(Confirm with the user before operation and require the applicant to conduct manual inspection), return results. Called by /ideate Phase 5. Does NOT modify wiki pages or judge pass/fail.

    Also in 4 projects that use this

  • +5 more from Lambenthan
  • +1 more from skyllwt

The file

We split this skill into the rules it gives an agent

4 rules. 0 are common, 1 is distinctive, and 3 are very specific to this project.

  • 0

    Common

    Most of the 169 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 3

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Run agent-reach doctor --json if available to see which backends are live, then choose per angle:

    line 23
  2. Very specific:

    If Agent-Reach isn't installed and the user wants the full reach, tell them once: 帮我安装 Agent …

    line 32
  3. Very specific:

    If the research feeds a build, the dispatch rule holds: the target project is confirmed from the session's badge and cwd before any …

    line 41
  4. Distinctive:

    Write a tight, cited answer: the finding, the evidence (with links + dates), the disagreements, and the confidence.

    line 51

“Common” is measured: kept by at least 6 in 10 of the 169 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Trantor research — fetch wide, read cheap, synthesize sharp

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.

1. Scope the question

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.

2. Pick sources (capability, not habit)

Run agent-reach doctor --json if available to see which backends are live, then choose per angle:

  • Semantic web search → mcporter call 'exa.web_search_exa(query: "…", numResults: 5)' (free, no key)
  • Read a page/article → curl -s "https://r.jina.ai/<URL>" (clean markdown, no HTML soup)
  • Code / repos → gh search repos "…" --sort stars · gh repo view owner/repo
  • Video → yt-dlp --write-sub --skip-download -o /tmp/%(id)s "<URL>" (NEVER yt-dlp for Bilibili → bili …)
  • Discussion → Twitter (twitter search), Reddit (opencli reddit search / rdt search), V2EX
  • Chinese platforms (often weeks ahead on AI) → Bilibili, XiaoHongShu, Zhihu, Weibo, Xueqiu via Agent-Reach
  • No Agent-Reach? Fall back to your own WebSearch/WebFetch — the method below still holds.

If 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

3. Fan out + read cheap

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). If the research feeds a build, the dispatch rule holds: the target project is confirmed from the session's badge and cwd before any relay_send, relay_task_add or trantor up — a research answer ("where the answers are stored") is not a project name — and a session that is asking the operator a question never triggers a wake; its messages batch until the answer arrives.

4. Verify before you trust

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.

5. Synthesize (this part is yours)

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.

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