Execute mechanistic interpretability experiments from JSON specs - family sweeps, itemsets, interactions, minimal cores, validation

Run credibility checks on feature interpretations including split-half stability and shuffle null tests

Polish assemblies and call variants from Oxford Nanopore data using medaka. Uses neural networks trained on specific basecaller versions. Use when improving ONT-only assemblies or calling variants from Nanopore data without short-read polishing.

When the user requests to find official media content like movie trailers, YouTube links, or other online resources, this skill performs targeted web searches to locate specific media content, extracts relevant URLs and metadata, and verifies the authenticity of sources. It's triggered by requests for 'official trailer', 'YouTube link', 'search for', or when specific media content needs to be found and integrated into other systems.

AI-powered media production pipeline using Nano Banana Pro (images), KLING AI (video/transitions), and ElevenLabs (voiceover). Use when creating video content, product demos, social media assets, or any multimedia production.

Process multimedia files with FFmpeg (video/audio encoding, conversion, streaming, filtering, hardware acceleration), ImageMagick (image manipulation, format conversion, batch processing, effects, composition), and RMBG (AI-powered background removal). Use when converting media formats, encoding videos with specific codecs (H.264, H.265, VP9), resizing/cropping images, removing backgrounds from images, extracting audio from video, applying filters and effects, optimizing file sizes, creating streaming manifests (HLS/DASH), generating thumbnails, batch processing images, creating composite images, or implementing media processing pipelines. Supports 100+ formats, hardware acceleration (NVENC, QSV), and complex filtergraphs.

Medical document OCR processing for extracting structured clinical data from medical images (prescriptions, lab results, clinical notes). Uses Google Cloud Vision for text extraction and medical NLP for entity recognition. Deploy when processing healthcare documents, extracting patient data, or converting medical images to structured formats.

Complete MediRecords FHIR/REST API integration guide for Dr. Sophia AI consultations. Covers two-phase workflow (FHIR Encounter creation + REST notes append), patient search, SOAP note formatting, and troubleshooting. Use when integrating MediRecords API, creating consultations, debugging FHIR/REST endpoints, or saving AI consultations to patient records.

Multi-persona product meeting with PM and CTO to discuss UX vs technical tradeoffs. Converts vague feedback into concrete requirements, updates REQUIREMENTS.md, and syncs with Linear.

[EXPERIMENTAL] Debug Melee in Dolphin emulator. Breakpoints are unreliable with JIT mode. Use for memory inspection only until stability improves.

Use this to save important implementation decisions, patterns, or context to the Nori knowledge base for future sessions.

Debug TraitorSim agent memory systems including profile.md, diary entries, trust matrices (suspects.csv), and SKILL.md files. Use when troubleshooting agent behaviors, inspecting memory contents, validating memory updates, or when asked about agent memory, profile debugging, or trust matrix issues.

Interpretive guidance for Claude Code memory management system. Helps choose between memory locations, organize modular rules, use path-specific rules, and avoid common pitfalls. Use when setting up CLAUDE.md files, organizing .claude/rules/ directories, or deciding where to put project instructions.

Generate evidence-based documentary reports by searching across all 4

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Memory leak detection and analysis for Node.js, Python, and browsers

Automatically activates after significant decisions, pattern discoveries, or context that should persist across sessions. Saves decisions to org memory, patterns to pattern library, and context to user memory. Activates when important architectural choices are made, new patterns are discovered, or valuable context emerges.

Persist and recall context between sessions

Unified four-tier memory system for AI agents. Tier 1 Semantic (Serena+Forgetful

Synchronize CLAUDE.md and AGENTS.md with available agents and skills.

Merges a cover image (PNG/JPG) into an existing PDF book, ensuring the cover matches the book's page width exactly while preserving its aspect ratio.

Merge the latest main branch into your current feature branch. Use when you need to sync your branch with upstream changes.

mermaid-diagram-generator

Specialized skill for generating Mermaid diagrams with light/dark mode compatible colors. Use when creating architectural diagrams, flowcharts, ER diagrams, or sequence diagrams.

Build TX V4 meshes - agent configs, prompts, routing. Use for new meshes, agent roles, or multi-agent workflows. Triggers - mesh, routing, agents, multi-agent, config.yaml

Proactively analyzes the codebase and generates specialized subagents and skills to standardize agentic workflows.

Create language conversion skills for translating code from language A to language B. Use when building 'convert-X-Y' skills, designing type mappings between languages, establishing idiom translation patterns, or defining conversion methodologies. Provides foundational patterns that specific conversion skills extend.

Guide for translating code between programming languages. Use when converting code from one language to another, planning language migrations, understanding conversion challenges, asking about type mappings, idiom translations, or referencing pattern mappings. Covers APTV workflow, type systems, error handling, concurrency, and language-specific gotchas.

meta-prompt-framework

Identify skill coverage gaps and improvement opportunities. Use when analyzing missing skills for a task, creating skill gap issues, evaluating skill effectiveness, or refining skill progressive disclosure.

Comprehensive guide for creating Claude Code custom skills. Use when asked to create, design, or improve custom skills for Claude Code. Provides templates, best practices, and patterns for simple, moderate, and advanced skills.

Performs enrichment analysis (GSEA-based) for metabolic pathways across different cell groups to identify significantly enriched pathways. Uses fast gene set enrichment analysis (fgsea package) to rank pathways by their association with specific clusters, conditions, or cell states. Generates summary plots and enrichment visualizations for biological interpretation.

Analyzes metabolic pathway heterogeneity within cell populations by calculating normalized enrichment scores (NES) for each pathway across different groups. Quantifies metabolic diversity and identifies pathways with variable activity patterns. Uses principal component analysis and GSEA to assess pathway heterogeneity, revealing subpopulation-specific metabolic states and transitions.

Use this skill when creating or updating DAG configurations (dags.yaml), schema.yaml, and metadata.yaml files for BigQuery tables. Handles creating new DAGs when needed and coordinates test updates when queries are modified (invokes sql-test-generator as needed). Works with bigquery-etl-core, query-writer, and sql-test-generator skills.

Especialista en validación y generación de metadatos YAML (frontmatter) para archivos markdown del proyecto SyV, garantizando coherencia con estándares

Marker gene-based taxonomic profiling using MetaPhlAn 4. Provides accurate species-level relative abundances using clade-specific markers. Use when accurate taxonomic profiling is needed and computational resources are limited, or for comparison with HMP/other MetaPhlAn studies.

Apply Bootstrapped AI Methodology Engineering (BAIME) to develop project-specific methodologies through systematic Observe-Codify-Automate cycles with dual-layer value functions (instance quality + methodology quality). Use when creating testing strategies, CI/CD pipelines, error handling patterns, observability systems, or any reusable development methodology. Provides structured framework with convergence criteria, agent coordination, and empirical validation. Validated in 8 experiments with 100% success rate, 4.9 avg iterations, 10-50x speedup vs ad-hoc. Works for testing, CI/CD, error recovery, dependency management, documentation systems, knowledge transfer, technical debt, cross-cutting concerns.

Draft publication-ready Methods sections for interview-based sociology articles. Guides pathway selection, component coverage, and calibration based on analysis of 77 Social Problems/Social Forces articles.

Use when investigating unexpected metric changes - systematically narrows root cause through 4D segmentation, intrinsic vs extrinsic factor analysis, hypothesis testing, and North Star impact assessment

Comprehensive metrics dashboard strategy including North Star Metric definition, AARRR Pirate Metrics framework, product engagement tracking, 5 role-specific dashboards, alert configuration, data infrastructure planning, and 90-day implementation roadmap for data-driven decision making

Authentic Mexican cooking expert covering moles, salsas, tacos, and regional Mexican dishes

Rapidly build and launch micro-SaaS applications with best practices, monetization, and deployment

End-to-end 16S amplicon workflow from FASTQ reads to differential abundance. Orchestrates DADA2 ASV inference, taxonomy assignment, diversity analysis, and compositional testing with ALDEx2. Use when processing 16S/ITS amplicon data.

Interact with MicroPython boards via mpy-repl-tool to push files, execute code, and test MicroPython scripts. Use when working with MicroPython development, testing board functionality, or evaluating MicroPython code on hardware.

Creates interactive educational MicroSims using the best-matched JavaScript library (p5.js, Chart.js, Plotly, Mermaid, vis-network, vis-timeline, Leaflet, Venn.js). Analyzes user requirements to route to the appropriate visualization type and generates complete MicroSim packages with HTML, JavaScript, CSS, documentation, and metadata.

This skill analyzes diagram, chart, or simulation specifications and returns a ranked list of the most suitable MicroSim generator skills to use. It compares the specification against capabilities of all available microsim generators (p5.js, ChartJS, Plotly, Mermaid, vis-network, timeline, map, Venn, bubble) and provides match scores (0-100) with detailed reasoning for each recommendation. Use this skill when a user has a diagram specification and needs guidance on which MicroSim generator skill to use.

Utility tools for MicroSim management including quality validation, screenshot capture, icon management, and index page generation. Routes to the appropriate utility based on the task needed.

Expert guidance for Microsoft Fabric development using the Fabric MCP Server. Access Fabric public APIs, OpenAPI specs, item schemas, best practices, and OneLake file management. Use when working with Fabric workloads, Lakehouses, pipelines, semantic models, notebooks, or building Fabric integrations.

Craft effective Midjourney V7 prompts for any style — photography, illustration, anime, or artistic. Provides frameworks (7-Element, F.O.C.A.L.), parameter reference (--ar, --stylize, --sref, --cref), lighting/camera terminology, and V7-specific optimization. Auto-activates when writing Midjourney prompts, discussing MJ parameters, or creating AI image prompts. Triggers: Midjourney, MJ prompt, --ar, --stylize, --sref, style reference, character reference, image generation prompt.

Generate MJ V7 prompts for all images in a page.