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Expand Step 6 roadmap with implementation details
Documents the name→handle resolution strategy (best-candidate pick with low-confidence flags), multi-source game merging, and output format (per-player Markdown folder + combined PDF). https://claude.ai/code/session_01VQfqug9MDEyRFydkmES4n2
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README.md

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@@ -310,4 +310,8 @@ print(render_markdown(dossier))
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- [x] Step 3 — Look up each player on Lichess and chess.com
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- [x] Step 4 — Analyse openings and tendencies
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- [x] Step 5 — Generate per-opponent dossier report
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- [ ] Step 6 — End-to-end pipeline: tournament URL → resolve Lichess/chess.com handles → fetch games → generate all dossiers in one command
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- [ ] Step 6 — End-to-end pipeline
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- Single command: tournament URL → dossiers for every opponent
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- Name → handle resolver: Lichess autocomplete + chess.com guesser, pick best candidate automatically; flag low-confidence matches in the report
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- Fetch games from MegaDatabase index + Lichess + chess.com and merge
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- Output: folder of Markdown files (one per opponent) + single combined PDF

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