# Paper Digest

> Use when Wyatt asks for a daily research idea, paper watchlist digest, reranker/multimodal model reading routine, or one-paper-to-experiment summary.

- Skill: `wyattjy/paper-digest` (Agent Skill, multi-file: 5 files)
- Install (CLI): `npx skillmds@latest add wyattjy/paper-digest`
- Raw SKILL.md: https://api.skillmd.com/api/skills/wyattjy/paper-digest/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: WyattJY (https://skillmd.com/u/wyattjy)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/wyattjy/paper-digest

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# Paper Digest
## Claude Code Adaptation

- This copy is prepared for Claude Code personal or project skills.
- Resolve bundled files relative to ${CLAUDE_SKILL_DIR} when Claude Code exposes it; otherwise use the local skill directory.
- Map old agent/tool wording to the closest Claude Code capability by intent.

## Workflow

1. Prefer local T7/HK research material before live web search.
2. Use the local research root from `--research-root`, `CLAUDE_WYATT_RESEARCH_ROOT or CODEX_WYATT_RESEARCH_ROOT`, or `H:/T7/Wyatt/HK_intership`.
3. Use the optional memory root from `--memory-root`, `CLAUDE_WYATT_MEMORY_HOME or CODEX_WYATT_MEMORY_HOME`, or `H:/T7/hermes/home/memory`.
4. Produce exactly one actionable research idea: why it matters, experiment, required data/code, expected signal, stop condition, and references.
5. For external searches, use available Claude Code web/search tools or Python `urllib.request`; respect rate limits and stop on 429 instead of retrying aggressively.
6. Write reports locally only when asked or when running the bundled script. Do not send Weixin/WeCom messages from this skill.

## Hard Rules

- Do not dump generic AI news or multiple papers.
- Do not request or export raw company data.
- Keep private summaries local and report exact saved paths.
- If live search fails, say it is inconclusive and synthesize only from available local files.