tools

Plugin tools from marketplace academicOps in nicsuzor/aops. Commands read from the repo's manifest — 21 days ago.

Skills (10)

• analyst

  Run academic research data analysis reproducibly -- research data immutability, canonical absolute path resolution, source-derived parity checks, transformation vs presentation layer separation, and defensible statistical methodology. Use for empirical research pipelines, modifying models/marts, dat

• dbt

  dbt transformation layer for version-controlled, tested SQL models in staging, intermediate, and mart layers. Use when projects contain a dbt/ directory or require auditable metric and schema transformations.

• deep-research

  Author deep-research prompts (Gemini, ChatGPT Pro, Perplexity) and capture outputs into the PKB with figure extraction, local vision transcription, frontmatter, and task wikilinks.

• diagram

  Draw, edit, and review diagrams -- Mermaid for version-controlled flowcharts, sequences, and architecture; Excalidraw for mind maps, concept maps, PKB graphs, and sketches. Covers layout routing, house palette, pkb-excalidraw CLI, SVG/PNG rendering, visual QA, fractional index validation, and PKB ex

• new-project

  Scaffold a research project repository end to end -- repo creation, directory structure, git hygiene, CI/CD, documentation stubs, issue templates, and PKB registration in one pass, with defaults proposed for approval before writing. Use for "new project", "set up a project", "create a repo", "scaffo

• pdf

  Render markdown files as typeset PDFs via pandoc and weasyprint using academic (A4, justified, headings, callouts, footnotes) or letter stylesheets. Use for reports, grant reviews, or formal letters.

• peer-review

  Peer review of research funding applications and academic submissions. Scheme-agnostic; fetches round criteria dynamically. Covers Detailed Assessor, General Assessor / College of Experts, and collegial draft review.

• python-viz

  Python plotting and statistical modelling (matplotlib, seaborn, statsmodels) for analyst presentation and statistical layers. Use for generating figures from pre-computed metrics or fitting statistical models.

• streamlit

  Streamlit presentation layer for analyst dashboards. Use to display pre-computed research metrics and charts. Strictly display-only; no inline data transformations or joins.

• style

  Build a personal writing style guide from writing samples -- voice characteristics, recurring vocabulary, structural habits, and context registers -- then calibrate via iterative test drafting.

Similar plugins