'Check knowledge flywheel health, velocity, staleness, and pool depth.'
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →'Check knowledge flywheel health, velocity, staleness, and pool depth.'
'Record and verify Brownian Ratchet progress gates.'
Help users write correct R code for async, parallel, and distributed computing using mirai. Use when users need to: run R code asynchronously or in parallel, write mirai code with correct dependency passing, set up local or remote parallel workers, convert code from future or parallel, use parallel map operations, integrate async tasks with Shiny or promises, or configure cluster/HPC computing.
Privacy-protected ID management with @ledgerhq/client-ids — DeviceId, UserId, DatadogId, export-rules.json
Compute metrics for Claude Code sessions. Discovers via ccrider, filters trivial, computes friction/opportunity/fingerprint scores. Use for broad session triage.
Use anki-card-creator for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries for study-card generation.
Use biotech-pitch-deck-narrative for academic writing workflows that need structured investor-facing storytelling, explicit assumptions, and clear output boundaries.
Use figure reference checker for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries.
Use grant budget justification for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries.
Use poster layout planner for other workflows that need structured execution, explicit assumptions, and clear output boundaries.
Use lab budget forecaster for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries.
Use preclinical pkpd analyst for data analysis workflows that need structured execution, explicit assumptions, and clear output boundaries.
A comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival; use it when you need to model censored time-to-event outcomes, fit Cox/RSF/GB models or Survival SVMs, evaluate with C-index/Brier score, or handle competing risks.
Monitor and summarize competitor clinical trial status changes from ClinicalTrials.gov.
> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)
Calculate literature growth velocity and acceleration to assess research.
IoT monitoring simulation to predict CO2 tank depletion and prevent weekend gas outages in cell culture facilities. Monitors cylinder pressure, calculates consumption rates, provides early warnings, and supports automated scheduling via cron.
Calculate medical date windows including gestational age, estimated delivery dates, and follow-up visit scheduling. Produces structured JSON output for clinical research and trial coordination workflows.
Local schedule management for adding events, tracking deadlines, generating reminders, and detecting time conflicts when users need offline scheduling with optional popup notifications.
Output rules for all agents - concise, scannable, actionable. Based on Matt Pocock's planning principles.
Core principle that the main agent is a coordinator, not an implementer. All work must be delegated to subagents.
Shared commit message rules and technical constraints referenced by /stage-commit and /commit-staged. Not typically invoked directly.
Produce an implementation plan at `.turbo/plans/<slug>.md`. Capture the task, survey patterns, escalate decisions, discuss, and draft.
Run two independent interpretations of third-party feedback in parallel (internal + codex peer), then reconcile into enriched items with clear intent summaries. Designed for feedback where the author'
Commit, push, and optionally create or update a PR for the current staged changes.
Stage implementation changes with precise file selection.
Slash commands are frequently-used prompts defined as Markdown files that Claude executes during interactive sessions. Understanding command structure, frontmatter options, and dynamic features enable
Hooks are event-driven automation scripts that execute in response to Claude Code events. Use hooks to validate operations, enforce policies, add context, and integrate external tools into workflows.
StatsPAI is the agent-native Python package for causal inference and applied econometrics. One `import statspai as sp`, 900+ functions, covering the complete empirical research workflow.
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Compile a Beamer LaTeX slide deck with XeLaTeX (3 passes + bibtex). Use when compiling lecture slides.
Compile a LaTeX manuscript with pdflatex (3 passes + bibtex). Use when compiling the research paper.
Utility commands — commit, compile, validate-bib, journal, context-status, deploy, learn. Replaces individual utility skills.
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Use when writing Python code for DSGE models, HANK models, numerical economic computation, causal inference, or quantitative economic data analysis
orchestrator
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Render Quarto slides and sync to docs/ for GitHub Pages deployment. Use when deploying lecture slides after making changes.
Finds a paper by title, author, or DOI, adds BibTeX to references.bib, and shows citation syntax. Use when adding a reference.
Drafts academic prose for a manuscript section from bullet points or an outline. Use when writing or expanding a section.
Captures tool versions, packages, and kernel info as a reproducibility record in notes/. Use when documenting the environment.
Writes a session handoff report to handoffs/ with project state, work done, decisions, and next steps. Use at session end or after significant work.
Slash commands are frequently-used prompts defined as Markdown files that Claude executes during interactive sessions. Understanding command structure, frontmatter options, and dynamic features enable
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context-status