web-research
Research web content, documentation, and best practices using the gemini-search agent for token-efficient searches with caching. Use when you need to fetch documentation, research best practices, or gather information from the web.
researching-web
Web research via Perplexity AI. Use for technical comparisons (X vs Y), best practices, industry standards, documentation. Triggers on "research", "compare", "vs", "best practice", "which is better", "pros and cons".
codex-review-mcp
Use this skill when completing a plan in Plan mode, when stuck on a complex problem, when needing a second opinion on architecture decisions, when facing difficult debugging, or when the user explicitly asks for Codex review. Invokes OpenAI Codex MCP for external perspective and validation through conversational interface.
docs-discovery
Technical documentation discovery via context7 and web search. Capabilities: library/framework docs lookup, topic-specific search. Keywords: llms.txt, context7, documentation, library docs, API docs. Use when: searching library documentation, finding framework guides, looking up API references.
web-search-patterns
Best practices and patterns for effective web searching
looking-up-docs
Library documentation via Context7. Use for API references, code examples, framework docs.
semantic-scholar
Search academic papers. Returns Collection of JSON Notes with fields text (full paper text via GROBID when PDF available, otherwise abstract), metadata.title, metadata.authors, metadata.year, metadata.citations, metadata.uri (alias: pdf_url), metadata.venue
search-web
Search web using Google CSE. Returns Collection of JSON Notes with fields text, metadata.uri (alias: source_url), metadata.domain, format, char_count
extract-struct
Extract structured metadata (title, authors, year) from paper text using LLM. Use to convert online search results metadata to JSON
mc-observe-items
Visible item entities within radius R (default/max 7), filtered by forward cone and line-of-sight.
mc-observe-entities
Visible entities within radius R (default/max 7), filtered by view cone and line-of-sight.
mc-observe-blocks
Visible non-air blocks within radius R (default/max 7). Filtered by forward cone (yaw ±60°, pitch -60..+90) and line-of-sight. Does NOT report items.
mc-map-update
Updates persistent spatial map with observation data. Populates cell-based SpatialMap.
effect-regex
Expert regex pattern generation, optimization, testing, and explanation using deterministic AST-based construction. Use when user needs to create, test, optimize, or understand regex patterns, parse CLI commands, validate inputs, or build complex text matching patterns.
mc-place-until-supported
Create reliable footing by placing blocks until observed support becomes provably solid. Absorbs placement uncertainty and never exposes 'accepted but ineffective' outcomes
ngspice-circuit-simulator
Electronic circuit simulation and SPICE analysis via ngspice MCP tool
scipy
Comprehensive guide for SciPy - the fundamental library for scientific and technical computing in Python. Use for integration, optimization, interpolation, linear algebra, signal processing, statistics, ODEs, Fourier transforms, and advanced scientific algorithms. Built on NumPy and essential for research and engineering.
sunpy
The community-developed free and open-source software package for solar physics. Provides tools for data search and download, coordinate transformations specific to solar physics, and powerful image processing through the Map object. Use when working with solar data, solar images (EUV, magnetograms, white light), solar coordinates (Helioprojective, Heliographic), Fido data search, solar time series, differential rotation, limb fitting, or multi-instrument solar analysis (AIA, HMI, GOES).
marine-engineering-excel-analyzer
Analyzes Excel workbooks with marine engineering calculations and extracts formulas, data structures, and engineering models for Python implementation
photutils
An Astropy coordinated package for detecting and performing photometry of astronomical sources. Provides tools for background estimation, source detection (DAOFIND, IRAF), aperture photometry, and PSF (Point Spread Function) fitting. Use when working with astronomical image analysis, star/galaxy detection, measuring brightness (photometry), background subtraction, PSF fitting, aperture photometry, centroiding, or isophotal analysis.