Monitor and summarize competitor clinical trial status changes from ClinicalTrials.gov.
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 →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.
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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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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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.
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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Final submission gate combining full verification, score enforcement, and submission checklist.
Plan reproducible ML experiment runs with parameters and metrics tracking
Systematic prompt engineering methods for AI-assisted academic research workf...
8 finance skills. Trigger: financial modeling, market data, risk analysis, quantitative finance. Design: data sources, quantitative methods, and regulatory frameworks.
Apply linear algebra concepts to research computing and data analysis
Core methods for empirical social science research including surveys and expe...
Set up RSS feeds and alerts to track new publications in your research area
AI-powered scientific writing workflow from outline to polished draft
Checklist-driven academic English polishing and Chinglish correction
Implement user skill change requests with optimization pattern evaluation
Identify EMERGING trends by connecting dots across unrelated sources. Monitor niche communities, academic research, GitHub, patents, funding, regulatory changes. Predict what will trend in 3-6 months based on weak signals.
Measure what matters with proper event tracking, funnels, cohorts, and metrics. Use when setting up analytics, tracking features, or understanding behavior.
1. [Purpose](#purpose)
Status: Backlog
Creates a Jobs to be Done canvas capturing the functional, emotional, and social dimensions of a customer job. Use when deeply understanding customer motivations, designing for jobs, or reframing product positioning.
Creates a clear problem framing document with user impact, business context, and success criteria. Use when starting a new initiative, realigning a drifted project, or communicating up to leadership.
Documents the reasoning behind design decisions including alternatives considered, trade-offs evaluated, and principles applied. Use when making significant UX decisions, aligning with stakeholders on design direction, or preserving design context for future reference.
Produces a topic-segmented post-meeting summary for attendees with decisions highlighted and actions captured inline per topic (plus a consolidated action view at the end). Auto-populates topic skeleton from a sibling meeting-agenda when available and reconciles planned vs. actual topics. Accepts transcripts from Zoom, Meet, Otter, Fireflies, Krisp MCP, or manual notes; runs on variable-quality input without blocking.
Cross-meeting archaeology skill. Consumes multiple meeting recaps (or raw notes) over a period and surfaces patterns invisible in any single meeting. Shows how decisions evolved, who has been saying what, where threads are stalling, and where contradictions have emerged. Produces a plain-text timeline, themes with confidence markers, stakeholder position tracking, consolidated decision list, contradiction flags, open items, narrative summary, and prioritized follow-ups.
Documents a strategic pivot or persevere decision with the evidence, analysis, and rationale. Use when evaluating whether to change direction on a product, feature, or strategy based on market feedback.
Audits an existing pm-skills skill against structural conventions and quality criteria. Produces a structured validation report with pass/fail checks, severity-graded findings, and actionable recommendations. Use when checking whether a skill meets repo standards before shipping or after making changes.
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Encrypt and decrypt files or streams using age — a simple, modern, and secure encryption tool with small explicit keys, passphrase support, SSH key support, post-quantum hybrid keys, and UNIX-style composability. No config options, no footguns.
Post notes, send encrypted messages, and interact with relays using the Nostr protocol.
Score content against the 10 GEO criteria with evidence and prioritized fixes. Use when users ask to score, rate, evaluate, or estimate ranking strength.