Research

Find qualified leads with decision makers and outreach strategies

Oxford Nanopore basecalling with Dorado on University of Michigan HPC clusters (ARMIS2 and Great Lakes). Use when running dorado basecalling, generating SLURM jobs for basecalling, benchmarking models, optimizing GPU resources, or processing POD5 data. Captures model paths, GPU allocations, and job metadata. Integrates with ont-experiments for provenance tracking. Supports fast/hac/sup models, methylation calling, and automatic resource calculation.

Conduct a thorough literature search on a topic with verified citations. Use when the user types /deep_research, asks to "research a topic", "find papers on", or needs literature review. CRITICAL - Never fabricate citations. Every claim must have a verifiable source.

Generate course content for HPM 883 (PhD Advanced Quantitative Methods) following establishedtemplates, pedagogical principles, and accessibility requirements. Supports unit planning,session generation, code-along creation, problem sets, and reference curation.USE WHEN: creating HPM 883 content, generating units/sessions, building code-alongs/labs,curating references for Spring 2026 course.

Scaffolds a template for a small investigation for empirical experimentation. Use when the user asks for an investigation, experiment or research to support making design decisions, assess performance or try out a new idea that requires data or an MVP.

Research technical solutions by searching the web, examining GitHub repos, and gathering evidence. Use when exploring implementation options or evaluating technologies.

RepoPrompt MCP tool reference. Supplemental parameter docs for context_builder, chat_send, and chats tools.

Step-by-step procedural guidance for executing the /plan command workflow. Covers Phase 0 (Research), Phase 1 (Design), and Phase 2 (Validation) for implementation planning with constitutional compliance.This skill provides step-by-step procedural guidance for tasks handled bythe planning-agent agent. Use when you need to understand the workflow orexecute tasks that planning-agent would typically handle.Triggered by: [TODO: Add trigger phrases]

Detect AI/LLM-generated text patterns in research writing. Use when: (1) Reviewing manuscript drafts before submission, (2) Pre-commit validation of documentation, (3) Quality assurance checks on research artifacts, (4) Ensuring natural academic writing style, (5) Tracking writing authenticity over time. Analyzes grammar perfection, sentence uniformity, paragraph structure, word frequency (AI-typical words like 'delve', 'leverage', 'robust'), punctuation patterns, and transition word overuse.

Create publication-quality scientific figures with matplotlib, seaborn, and plotly. Includes multi-panel layouts, error bars, significance markers, colorblind-safe palettes, and journal-specific export (PDF/EPS/TIFF). Use when creating figures for manuscripts, presentations, or any research visualization.

Splynx REST API client for validated operations on ISP management data.Use when creating, updating, or deleting customers, services, tariffs, invoices, documents, or tickets in Splynx.Validates data before writing. Reference: src/apis/splynx_client.py

This skill should be used when the user asks about "conductor methodology", "context-driven development", "conductor directory structure", "conductor files", "tracks.md", "plan.md", "spec.md", or when commands reference conductor concepts. Provides comprehensive understanding of the Conductor framework for Context-Driven Development.

Add ADR references to code for decision traceability. Use when creating new files, documenting non-obvious implementation choices, or when user mentions ADR traceability, code reference, or document decision in code. Provides language-specific patterns for Python, TypeScript, Rust, Go.

Domain-specific configuration profiles for learning resource creation. Defines search strategies, special fields, terminology policies, and content structures for different academic domains: technology, history, science, arts, and general. Use when researcher or writer agents need domain-adapted behavior.

Claude Code native tools reference. Prefer native tools over bash commands for file operations, search, and orchestration.

Use for Phase 1 of Course OS - collecting and cataloging source materials including existing course content, reference books, videos, competitor courses, and expert knowledge. Triggers on "/course-import", "import course materials", "add sources", "collect references", or when starting a new course project.

Load the full content of a previous Claude Code conversation into current context. Use when user asks to "load conversation <uuid>" or "show me conversation <uuid>" or references loading/viewing a past conversation by its ID.

Systematically validate implementation plans before execution - catches hallucinations, TDD violations, missing references, and temporal drift that derail implementations. Use after writing-plans skill creates a plan document.

Manages personal knowledge about the user through Basic Memory. Use this skill when: (1) User requests to search/retrieve past information, (2) User requests to record/save information, or (3) Important insights about user's thinking patterns, values, preferences, or decisions emerge (propose recording with confirmation).

Use PROACTIVELY when reviewing CLAUDE.md configurations, onboarding new projects, or before committing memory file changes. Validates against official Anthropic documentation, community best practices, and LLM context optimization research. Detects security violations, anti-patterns, and compliance issues. Not for runtime behavior testing or imported file validation.