audit-paper-book
Use when you need to detect drift between an existing paper-book companion and a revised version of its source paper, then sync the mechanical pieces (new bib entries, new/changed figures) and report the substantive drift (renamed sections, changed numbers, new theorems, new contributions) for the user to triage. Counterpart to /init-paper-book. Read-only by default; --apply flag opts in to mechanical fixes.
Academic Paper Skill
Generate publication-ready academic research papers as professionally formatted PDFs. This skill covers the full pipeline: gathering inputs â writing/rewriting â figure creation â PDF formatting with reportlab â submission preparation for SSRN/arXiv.
exploring-llm-traces
ABSOLUTE MUST to debug and inspect LLM/AI agent traces using PostHog's MCP tools. Use when the user pastes a trace URL (e.g. /llm-observability/traces/<id>), asks to debug a trace, figure out what went wrong, check if an agent used a tool correctly, verify context/files were surfaced, inspect subagent behavior, investigate LLM decisions, or analyze token usage and costs.
glyph-arts
glyph-arts -- terminal-visible chart toolkit. All chart types directly in the CLI -- no files, no GUI. plotext (kline/candlestick/line/scatter/step/bar/multibar/stackedbar/hist/heatmap/box/indicator/event/confusion), rich (table/tree/panel/gauge/pie/dashboard/rich_live), drawille (curve/hires/radar), plotille (composable braille Figure), uniplot scientific line, media image/video (via chafa+ffmpeg, 2x4 braille sub-pixel with 24-bit truecolor), ASCII network graph, sparkline, pyfiglet banner, composable art text. LTTB-aware downsampling via --sample. Textual TUI dashboard via scripts/dashboard.py.
academic-pdf-to-gfm
Convert academic PDF papers to GitHub-renderable GFM markdown with inline figures and correctly formatted math equations. Use this skill when converting research papers, technical reports, or math-heavy PDFs for display on GitHub or GitLab. Also use it when GFM math equations are broken or not rendering on GitHub, when someone asks about the $$-vs-```math decision, when equations look garbled on GitHub, when KaTeX validation is needed, or when investigating why LaTeX renders locally but not on GitHub. Also use when comparing GitHub vs GitLab math rendering, when asking about self-hosting GitLab for math documents, or when looking for a platform that requires less LaTeX workarounds. Covers PDF type detection (Word vs LaTeX vs scanned), tool selection (pymupdf4llm/pdftotext/marker-pdf), image extraction, GitHub math rendering rules ($$-vs-```math decision), GitLab native math support (no workarounds needed), KaTeX validation, and multi-agent adversarial equation verification.
academic-plotting
Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, auto-selects chart type and generates data-driven figures via matplotlib/seaborn. Use when creating any figure for a conference paper.