Research

Complex analysis using Cipher MCP (10-30s) for library research via context7, design pattern memory search, and multi-tool integration for LoRAIro strategic planning

AI assistant framework for building unique, authentic portfolio websites from scratch. Guides agents through research, design, and implementation phases.

AI-powered PR creation after spec completion. Analyzes spec metadata, git diffs, commit history, and journal entries to generate comprehensive PR descriptions with user approval before creation.

딥리서치 결과 파일(research/*.md)을 파싱하여 테스트 생성에 필요한 구조화된 데이터 추출. 리서치 파일 읽기, 차원/결과 추출 시 사용.

Validate PubMed search field tags against official NCBI documentation before implementing them. Use when adding new field tags to the query builder, debugging search queries, or verifying existing field tag implementations. Prevents invalid tags like [organism] and ensures compliance with NCBI PubMed standards.

Career Advisor agent for PhD application planning and career management. Helps with university research, application tracking, professor matching, and career documentation.

Use when assessing team resilience, planning for developer departures, calculating bus/truck factor, identifying knowledge silos, or evaluating organizational risk - maps code ownership from git history and identifies single points of failure using research-backed thresholds (>80% ownership = silo)

Formulate research questions using FINER criteria (Feasible, Interesting, Novel, Ethical, Relevant). Use when: (1) Starting new research projects, (2) Refining study scope, (3) Grant proposal development, (4) Ensuring research question quality.

Perform comprehensive exploratory data analysis on research data. Automatically analyze data structure, quality, distributions, and generate insights. Use when the user provides a dataset, asks to "explore data", "analyze this file", or needs to understand their data before formal analysis.

Comprehensive guide to Learning Path patterns for the Plataforma B2B de treinamento técnico corporativo educational platform. This skill covers the conceptual difference between Study Areas (courses) and Proposed Paths (sequences of courses), data modeling, UI/UX patterns, and implementation guidelines.Learn how to structure Learning Paths correctly: a Proposed Path is NOT a container of loose flashcards, but a curated sequence of Study Areas (courses). Each path references existing courses with metadata like order, availability status, and estimated hours.Real-world examples are taken from the Hub MVP implementation (US-044), including caminhoExemploData.js, HubView.jsx, and LearningPathView.jsx. The skill demonstrates the reference pattern used for "Desenvolvedor Backend" path that sequences Bash, Linux, Docker, and DevOps courses.Key topics include data schema design (cursos array with ordem, areaId, disponivel flags), computed properties (getters for statistics), navigation patterns (path -> course

Fine-tuning Text-to-Speech (TTS) models with Unsloth for voice cloning and synthetic speech (triggers: TTS, text-to-speech, voice cloning, Orpheus-TTS, audio fine-tuning, speech synthesis).

Generate tight, one-page PRDs for CustomGPT.ai Labs projects aligned to Why/How/What, success metrics, and fast experimentation constraints.

WasteWise Complete Analysis with automated regulatory compliance research and LLM Judge validation. Includes all standard analysis features PLUS automated ordinance research, compliance checklists, and quality-scored evaluation. Use when you need both waste analysis AND regulatory compliance documentation.

Designs and documents control testing procedures. Creates test plans, executes walkthroughs, and documents results for audit workpapers.

Create patent-style technical diagrams including flowcharts, block diagrams, and system architectures using Graphviz with reference numbering

Generate and edit images using the Gemini API (Nano Banana). Use this skill when creating images from text prompts, editing existing images, applying style transfers, generating logos with text, creating stickers, product mockups, or any image generation/manipulation task. Supports text-to-image, image editing, multi-turn refinement, and composition from multiple reference images.

Research-driven PyIceberg development. Injects research steps for Iceberg table operations, ACID transactions, catalog integration, and schema evolution. Use when working with Iceberg table storage, time-travel queries, or data lake operations.

Generate song lyrics with citations from pinned sources. Enforces rhyme scheme, meter, syllable counts, hook strategy, and profanity filter while retrieving from MCP sources with deterministic hash-based pinning. Use when creating lyrics with structural constraints, source attribution, and policy compliance.

Search Practice Hub documentation for architecture, API reference, database schema, integrations, and implementation patterns. Triggers when user asks about multi-tenancy, authentication, tRPC routers, database, Better Auth, pricing calculator, Client Hub, Proposal Hub, Admin Panel, Client Portal, design system, integrations (LEM Verify, Gemini AI, DocuSeal, S3), or implementation patterns.

Context preservation with semantic memory: six-tier importance system (constitutional/critical/important/normal/temporary/deprecated), hybrid search (FTS5 + vector), 90-day half-life decay for recency boosting, checkpoint save/restore for context safety, constitutional memories (always surfaced), confidence-based promotion (90% threshold), session validation logging, context type filtering (research/implementation/decision/discovery/general), auto-indexing (memory_save/memory_index_scan). Manual trigger via keywords or /memory:save command.