Use this skill whenever research materials need to be saved, reused, or linked across AIFi workflows. The archive is part of the product: old material should compound into better future research instead of disappearing into chat history.
Workflow
- Identify the
ResearchTargetand archive path. - Create the target directory if it does not exist.
- Save source material in the right subdirectory.
- Record metadata, retrieval date, source URL or file origin, and confidence.
- Deduplicate against existing material before adding new files.
- Link synthesized notes back to raw evidence.
- Update indexes so future skills can discover reusable material quickly.
Archive Layout
Use this default layout:
research/
targets/
<ticker-or-slug>/
profile.md
index.md
evidence/
filings/
earnings/
news/
market/
competitors/
risks/
media/
artifacts/
memos/
decision-frames/
watchlists/
Read references/archive-layout.md before creating or reorganizing archive
files.
Evidence Rules
- Prefer markdown for extracted notes and structured summaries.
- Preserve original files when they are useful: PDFs, images, spreadsheets, HTML snapshots, and downloaded datasets can live beside markdown summaries.
- Never overwrite useful prior evidence without preserving history or explaining why it is obsolete.
- Every synthesized claim should link to one or more evidence items.
- Label generated analysis separately from source material.
Output
Return:
- files created or updated
- sources stored
- duplicates skipped
- stale or missing metadata
- next skills that can consume the archive
Quality Gate
Before finishing, check:
- target archive has an
index.md - new evidence has source and retrieval metadata
- raw and synthesized materials are clearly separated
- paths are stable and lowercase where practical
- no secrets, paid-content dumps, or private account data were stored