Add meeting-case-study skill#15
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Replaces the auto-publish `script/posts/arxiv.py` workflow that produced ~88 unreviewed posts. New posts are drafted via this skill on a `paper/<arxiv-id>` branch and merged only after human review by someone who is not the paper's lead author. Tone constraints baked in: - exact paper title (no clever rewrites) - no press-release language - no AI-generated body text and no synthetic AI illustrations - 200-500 words; the paper is the long-form artefact - explicit "How AI helped (or didn't)" section is the differentiator; honest "didn't help" answers are acceptable This is a baseline produced during the 5 May 2026 workshop. The first real paper post written through it (Toby Lovick's latest ALCS paper) is expected to drive the next iteration. Refs #3
Removes 88 .md files from `_posts/` and 82 .png illustrations from `assets/images/posts/`. These were generated by the legacy `script/posts/arxiv.py` pipeline and shipped to `main` without human review. The 5 May 2026 workshop converged on phasing out that pipeline in favour of PR-reviewed paper posts via the `paper` skill (added elsewhere in this PR). Effect: `/papers/` now renders only its index intro (no posts listed) until the first PR-reviewed post lands. Recovery: anything worth re-publishing is recoverable from git history (`git show <commit>:<path>`); copy back to `_posts/` only via the `paper` skill workflow with human review. Also gitignores the orchestrator-day `context/` scratch directory and `.playwright-mcp/` browser cache, which were accidentally included in the previous commit.
Toby Lovick, David Yallup, Will Handley — "Automatic Laplace Collapsed Sampling: Scalable Marginalisation of Latent Parameters via Automatic Differentiation". The first post produced through skills/paper, included in this PR as a worked example of what the skill produces from a single arXiv ID. Per the skill's tone constraints: paper title verbatim; no synthetic AI illustration; no press-release language; ~140 words on the science. The "How AI helped" section is left as a TODO for Toby, because the skill explicitly requires the lab author to fill it — it's the load-bearing differentiator from the arXiv abstract and not the agent's voice. Reviewer should not be Toby (the lead author). The TODO blocks need filling before the post is "done"; merging this PR ships them publicly as TODOs, which is intentional during the workshop iteration phase. Refs #3
The post layout now keys off the `arxiv:` frontmatter field: - a clickable arXiv-id badge renders near the top of the post header - if `assets/images/papers/<arxiv-id>.png` exists, it auto-renders as a figure linked to the PDF, captioned "First page of arXiv:<id>" This means paper post markdown no longer repeats the arXiv link as the first body line — the badge handles it. Body content starts with the human authors line, then "What the paper does", then "How AI helped". Includes: - _layouts/post.html: rewritten header + first-page figure block; MathJax updated to v3 (was a broken reference to mathjax.org/latest) - _sass/minima/custom-styles.scss: arxiv-badge and paper-firstpage styles - assets/images/papers/2603.26644.png: rendered first page (pdftoppm at 150 DPI) of the ALCS paper, ~340 KB - skills/paper/SKILL.md: documents the load-bearing `arxiv:` field, the auto-included first-page screenshot, and the pdftoppm command; drops the previous "manual cropped figure" wording - _posts/2026-03-27-2603.26644.md: drops the redundant first body line pointing at the paper (now the badge does that) Refs #3
/papers/ list: each entry is now a card-row with the first-page thumbnail on the left, date, arXiv badge, title, authors, and an optional excerpt on the right. Posts without an arxiv frontmatter field still render with a placeholder thumbnail box. Post page: the first-page figure is now a 150px floated thumbnail beside the header rather than a full-width inline figure. Caption is hidden (the badge already labels the source). On narrow viewports it falls back to centered above the body.
Splitting PR #6 into two: this branch keeps the paper skill, the auto- generated-post purge, the post-layout improvements (arXiv badge + first-page thumbnail) and the /papers/ index card-row treatment. Toby's ALCS paper post (`_posts/2026-03-27-2603.26644.md` and `assets/images/papers/2603.26644.png`) lands in a follow-up PR authored on his behalf so he can review and adjust the 'How AI helped' section before merge.
First post produced by an agent following the skills/paper baseline, ready for review by @tobyLovick (the lead author). The post itself contains a TODO block for the 'How AI helped' section, which only Toby can fill. The agent did NOT speculate about the AI involvement in the research — that section is the load-bearing differentiator from the arXiv abstract and must come from the lab author. Refs #3 #6
Sibling of recipe skill but for Otter-transcript-based meeting capture rather than Claude Code session JSONL forensics. Documents the workflow used for the 26 May 2026 thesis-writing workshop (private repo: handley-lab/thesis-writing-workshop).
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Summary
What it does
Phases 0–8: identify the meeting in Otter → decide Chatham House discipline → live or post-hoc polling → first OpenAI synthesis pass → apply a LaTeX style (default matplotlib `tab10`, or pulled from email via the separate `tex-style-from-email` skill) → iterate during/after the meeting → build a private group repo with verbatim transcripts → write `CASE_STUDY.md` matching the jaxwavelets exemplar → hand off to the `website` skill to publish at `/cookbook//`.
Test plan