academicOps

Daily note lifecycle — compose and maintain a factual daily note. Reports the state of the day; does not prioritise or recommend. SSoT for daily note structure.

Unified memory skill: immediate mode (/remember) persists knowledge via PKB MCP; maintenance mode (/sleep, GHA cron) runs periodic consolidation — transcript mining, knowledge synthesis, data quality, brain sync.

Unified multi-agent review of any artifact — a document, plan, proposal, or pull request. The calling agent deploys rbg, pauli, and marsha in parallel, then @james reconciles their findings into one verdict. Pass `comment` and/or `fix` to write the result back to the review surface. Use `--critic` for a fast pauli-only pre-hoc critique.

Instruction quality gate — reviews agent instructions (task bodies, workflow steps, skill procedures, self-test protocols) for shallow-execution vulnerabilities before deployment. Two modes: author (pre-hoc review) and audit (trace a failure back to the instruction gap). The bar is excellence, not compliance.

Strategic planning agent — graph structure ownership, task decomposition, knowledge-building, and PKM maintenance. Works on WHAT exists and HOW it relates.

Survey a corpus, classify, and dispatch outputs. Three modes: retro (transcript review → issues), trend (longitudinal performance analysis), sweep (GitHub issue triage → fix-epics). Delegates execution to pauli (retro/trend) or jr (sweep) to keep main context clean.

The single authoritative supervision process for any delegate-and-verify work — at every scale: one epic, a release spanning many epics (portfolio), or conversational orchestration of background workers (`/goal` "don't get involved yourself, make sure it gets done", `/dogfood`). Stateless tick driven by `/loop`; cross-tick state lives in the task body. Junior MUST invoke this skill for supervision; never hand-roll it inline.

Scaffold research project repositories with smart defaults — repo creation, directory structure, CI/CD, documentation, and PKB integration in one pass.

Core academicOps skill — institutional memory, strategic coordination, workflow routing, and framework governance. Merges butler (chief-of-staff) with framework development conventions.

Canonical session close — commit, push, PR, release_task, reflection blocks, handover. Use /dump for emergency bail (no commit/PR/reflection).

The shared queue-to-execution spine for claiming work. Selects the next queued task, runs the premise + freshness gates, then either DISPATCHES it to a background surface (`/dispatch`) or CLAIMS and runs it INLINE in the current interactive session (`/pull`). Owns the select/gate/claim/verify/complete lifecycle so the two commands stay thin and never duplicate it. Invoked with a leading mode token: `dispatch: …` or `execute: …`.

Judgement-based QA pass. Does this artifact meet its goal and serve its user? Demands excellence, not compliance. Owned by marsha; reads the spec's Fitness Rubric (designed upstream via /design-rubric).

Delegated instruction testing — write instructions, commission contextless execution, observe friction, iterate, review quality, codify.

dbt (data build tool) implementation of the analyst transformation layer. Use when a project has a dbt/ directory or you need to build, test, or document SQL transformations as version-controlled, reproducible dbt models. This is the dbt-specific HOW for the tech-agnostic principles in the aops-tools analyst skill.

Python plotting and statistical-modelling libraries (matplotlib, seaborn, statsmodels) for the analyst presentation and statistical-methodology layers. Use when producing publication-quality figures or fitting statistical models in Python. Library-specific HOW for the tech-agnostic principles in the aops-tools analyst skill.

Streamlit implementation of the analyst presentation layer. Use when building or updating a Streamlit dashboard that displays pre-computed research data. This is the Streamlit-specific HOW for the tech-agnostic principles in the aops-tools analyst skill — display only, never transform.

Support academic research data analysis with technology-agnostic principles — research-data immutability, a versioned/tested/reproducible transformation layer, statistical methodology, and self-documenting research. Use this skill for any computational research project with an empirical data pipeline. The skill enforces academicOps best practices for reproducible, transparent research with a collaborative single-step workflow. Tech-specific how-to (dbt, Streamlit, Python plotting/stats) lives in the aops-extras package.

Peer review of research funding applications and academic submissions. Scheme-agnostic — fetches current criteria from the relevant handbook each round, since weights and language change. Covers Detailed Assessor and College-of-Experts / General Assessor roles, plus collegial draft review.

Design-stage fitness rubric — persona immersion, scenario design, dimensions that define what excellence looks like for the people a feature serves. Two modes — author (produce a rubric for a new spec) and critique (red-team an existing spec). Output lives on the spec, not in the verification brief. Owned by pauli.

Emergency session bail — fast resume task + short handover, no commit/PR/reflection. For when you (or the user) need a clean context now. Use /end-session for canonical close.

Mirror PKB tasks onto the Cowork native task list at claim time and sync completion back to PKB. Cowork-only; ships only in the cowork build of aops-core.

Academic research methodology guardian. Ensures agents working on empirical research maintain methodological integrity: research questions drive all design decisions, methods are appropriate and justified, data collection quality is verified before proceeding, and convenience shortcuts that compromise validity are caught and refused.

Creating diagrams in any style — Mermaid flowcharts (structured, code-based) or Excalidraw (hand-drawn, organic). Use style parameter to select.

General extraction/ingestion skill that routes to specific workflows based on input type. Extracts structured information from documents, emails, reviews, feedback, and other sources.

Author high-quality deep-research prompts (Gemini / ChatGPT Pro / Perplexity Deep Research), then capture the resulting documents into the PKB — including figure extraction, agent-transcribed alt-text for load-bearing images, frontmatter, and wikilink wiring to the sourcing task.

Convert markdown documents to professionally formatted PDFs with academic-style typography, Roboto fonts, proper page layouts, and styling suitable for research documents, reviews, reports, and academic writing.