数据与研究

deep-research

zernie/vigiles

Use when the user asks to research a topic in depth, map a competitive/market landscape, run a multi-source investigation, or "fan out" parallel research agents — anything where many findings must be gathered and then NOT lost. Enforces durable, detail-preserving research (write full findings to disk; keep a full appendix beside the synthesis).

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安装命令

npx skills add https://github.com/zernie/vigiles --skill deep-research

SKILL.md

Deep research — gather wide, lose nothing

The failure mode this skill exists to prevent: a big parallel research fan-out gathers 80–100K tokens of detail, each subagent returns a trimmed summary, the orchestrator compresses again into a short brief, and the raw findings live only in ephemeral agent transcripts (scratchpad task outputs) that vanish when the container is reclaimed. Net: expensive research → a thin artifact, detail gone. Don't do that.

The rule: two durable artifacts, never just one

Every nontrivial research effort produces, and SAVES to disk:

  1. A synthesis — the brief / answer (tables, thesis, recommendation).
  2. A full appendix — the per-source / per-company / per-angle DETAIL (raw numbers, funding histories, surfaces, dates, verbatim source URLs) the synthesis compressed.

If the saved synthesis is dramatically smaller than what was gathered, the appendix is how you reconcile that — the detail must land somewhere durable, not only in chat or a transcript. "I summarized it in chat" is not saved.