simulator-screenshot
Capture screenshots from iOS Simulator or Android Emulator using the bundled simulator-screenshot.sh script. Use when asked to take simulator/emulator screenshots, list available devices, select a specific simulator or emulator by ID/name, or return JSON output for automation.
skills-scout
Use when a user wants you to discover and optionally install new agent skills for a task, and you must get explicit consent before any global install into Codex.
gemini-batch
Process large volumes of requests using Gemini Batch API via scripts/. Use for batch processing, bulk text generation, processing JSONL files, async job execution, and cost-efficient high-volume AI tasks. Triggers on "batch processing", "bulk requests", "JSONL", "async job", "batch job".
gemini-image
Generate images using Google Gemini and Imagen models via scripts/. Use for AI image generation, text-to-image, creating visuals from prompts, generating multiple images, custom aspect ratios, and high-resolution output up to 4K. Triggers on "generate image", "create image", "imagen", "text to image", "AI art", "nano banana".
gemini-files
Upload and manage files using Google Gemini File API via scripts/. Use for uploading images, audio, video, PDFs, and other files for use with Gemini models. Supports file upload, status checking, and file management. Triggers on "upload file", "file API", "upload image", "upload PDF", "upload video", "file management".
gemini-text
Generate text content using Google Gemini models via scripts/. Use for text generation, multimodal prompts with images, thinking mode for complex reasoning, JSON-formatted outputs, and Google Search grounding for real-time information. Triggers on "generate with gemini", "use gemini for text", "AI text generation", "multimodal prompt", "gemini thinking mode", "grounded response".
gemini-embeddings
Generate text embeddings using Gemini Embedding API via scripts/. Use for creating vector representations of text, semantic search, similarity matching, clustering, and RAG applications. Triggers on "embeddings", "semantic search", "vector search", "text similarity", "RAG", "retrieval".
gemini-tts
Generate speech from text using Google Gemini TTS models via scripts/. Use for text-to-speech, audio generation, voice synthesis, multi-speaker conversations, and creating audio content. Supports multiple voices and streaming. Triggers on "text to speech", "TTS", "generate audio", "voice synthesis", "speak this text".
installation-prisma-7.4.1-database-mysql
Execute a fault-tolerant installation and configuration of Prisma ORM v7.4.1 architecture with MySQL.
ant-to-shadcn-migration
Migrate Ant Design UIs to shadcn/ui + Tailwind (React/CRA/Vite → Next.js App Router). Use for: component replacement (no wrappers), Tailwind-first styling, canonical component consolidation, global CSS cleanup, route/layout scaffolding, and migration gotchas.
manim-personal-style
Plan and implement Manim Community (ManimCE) animations: use when users want 3Blue1Brown-style explainer videos, need scene-by-scene planning, or ask for ManimCE code/visualizations. Must gather requirements, produce a scenes.md plan before any Manim code, then implement with ManimCE best practices using the provided rules, examples, and templates.
fashion-model-photography
Generate professional fashion photography with models wearing products, including pose direction, styling, lighting, and composition for editorial and commercial use. Use for garment shoots, accessory photography, and high-end fashion content.
copy_writing
Generate professional e-commerce marketing copy, descriptions, and blog posts. Use when the user needs text content.
brand-consistent-visuals
Generate professional brand visualizations that maintain consistent brand identity across all creative assets using multi-step AI analysis and brand guidelines.
video_generation
Generate short videos for e-commerce products using Veo. Use this when the user asks for a video, motion, or animation of a product.
product-tryon-visualization
Generate realistic product try-on visualizations showing how garments, accessories, or products look when worn or used. Use for virtual try-on experiences, fit visualization, and helping customers see products in use before purchase.
product-background-generation
Generate professional studio or lifestyle backgrounds for product photography that match product aesthetics, brand positioning, and target audience. Use when creating product shoots, fashion photography, or e-commerce visuals requiring contextual backgrounds.
product-analysis-styling
Analyze product images to extract attributes (category, style, materials, colors, design details) and generate appropriate styling recommendations for photography. Use when preparing product shoots, fashion photography, or creating styled product compositions.
macro-product-photography
Generate extreme close-up macro shots of product details including fabric texture, stitching, hardware, and materials. Use when showcasing product quality, craftsmanship, or material details for e-commerce or marketing. Emphasizes accuracy over aesthetics with three-level material specificity.
image_editing
Edit, modify, or enhance existing images using natural language instructions. Use this skill when the user wants to change colors, remove backgrounds, add objects, or modify the style of an image they have uploaded or generated.
garment-lifestyle-photography
Generate lifestyle photography of garments in real-world contexts with models in natural environments. Use when creating aspirational fashion content, social media imagery, or editorial-style product photography that shows garments in authentic lifestyle settings.
obsidian-markdown
Enforces Obsidian-flavored Markdown syntax when creating any .md file, providing templates, validation, and pattern enforcement for YAML frontmatter, wikilinks, callouts, dataview queries, tables, mermaid diagrams, templater syntax, canvas/JSONCanvas, bases, and footnotes. Activates automatically unless explicitly stated otherwise.
obsidian-batch
Batch processing for Obsidian vaults: bulk tag normalization, wikilink extraction/fixing, frontmatter edits, vault analysis, and migration workflows. Use when asked to analyze or modify many notes in an Obsidian vault at scale, or to script/automate vault-wide changes.
obsidian-data-importer
Transform structured external data (CSV/JSON) into Obsidian's linked knowledge system while preserving semantic relationships, optimizing graph structure, and preventing data corruption through systematic validation and YAML-safe template generation.Enables seamless knowledge transfer from databases, spreadsheets, and APIs into personal knowledge management, maintaining referential integrity and facilitating emergence of insights through networked thought.
obsidian-developer
Expert guide for inspecting and automating Obsidian using the obsidian-devtools MCP server.
pex-lo-skill-creator
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obsidian-devtools
Inspect and automate Obsidian using Chrome DevTools Protocol
obsidian-process
This skill should be used when batch processing Obsidian markdown vaults. Handles wikilink extraction, tag normalization, frontmatter CRUD operations, and vault analysis. Use for vault-wide transformations, link auditing, tag standardization, metadata management, and migration workflows. Integrates with obsidian-markdown for syntax validation and obsidian-data-importer for structured imports.
obsidian
This skill should be used when working with Obsidian files including .md notes with wikilinks/callouts/properties, .base database views with filters/formulas, or .canvas visual diagrams. Routes to specialized sub-skills based on file type and task context. Features self-iterative learning that improves with use.
ontolog
Holarchic reasoning framework implementing λ-calculus over simplicial complexes. Entities (ο) transform through operations (λ) toward terminals (τ) via the universal form λο.τ. Persistent homology captures multi-scale structure; sheaf theory ensures local-to-global consistency. Use when knowledge requires: (1) homoiconic self-reference where structure mirrors content, (2) scale-invariant holonic decomposition, (3) topological invariants preserved across transformations, or (4) formal Lex-style axiom systems over property graphs.
orchestrator
Meta-skill orchestrating 7 atomic skills into unified workflows for intelligent development
osgrep
Semantic NLP-based code search using neural embeddings and hybrid ranking
parallel-debug-orchestrator
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pex-cli
Primary Exam (PEX) Knowledge Graph CLI for CICM/ANZCA exam preparation. Semantic search over Learning Outcomes, SAQs, concepts, and topics. Use for exam study, prerequisite chains, learning paths, and higher-order concept connections.
prompt-engineering
Use this skill when you writing commands, hooks, skills for Agent, or prompts for sub agents or any other LLM interaction, including optimizing prompts, improving LLM outputs, or designing production prompt templates.
prompting
Prompt engineering standards and context engineering principles for AI agents based on Anthropic best practices. Covers clarity, structure, progressive discovery, and optimization for signal-to-noise ratio.
quantitative-physiology
This skill should be used when calculating physiological parameters, modeling membrane transport, analyzing cardiovascular hemodynamics, computing renal clearance, simulating action potentials, or explaining quantitative relationships in any human physiological system. Use for physiology homework, medical calculations, computational biology modeling, and pharmacokinetic analysis.
ralph-graceful-exit
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ralph-invoke
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ralph-prd
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Rapid Convergence
Achieve 3-4 iteration methodology convergence (vs standard 5-7) when clear baseline metrics exist, domain scope is focused, and direct validation is possible. Use when you have V_meta baseline ≥0.40, quantifiable success criteria, retrospective validation data, and generic agents are sufficient. Enables 40-60% time reduction (10-15 hours vs 20-30 hours) without sacrificing quality. Prediction model helps estimate iteration count during experiment planning. Validated in error recovery (3 iterations, 10 hours, V_instance=0.83, V_meta=0.85).
rct-appraisal
Systematically appraise randomized controlled trials using integrated 120-point checklist (CONSORT 2025, Cochrane RoB 2.0, GRADE, TIDieR, Benefits/Harms Assessment, COI Framework) with dual-validation methodology, automated evidence extraction, and comprehensive risk-benefit evaluation. Use when conducting peer review, evaluating RCT quality for systematic reviews, guideline development, assessing intervention benefits and harms, identifying biases, or evaluating conflicts of interest for editorial writing and critical appraisal.
reason
"Understand through recursive decomposition and modular reconstruction
reasoning-router
Routes formal reasoning, thinking, and analysis tasks. Triggers on reason, prove, verify, formal, atomic, logic, think, analyze-deeply, decompose, validate.
refactor
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research-router
Routes research and investigation tasks. Triggers on research, investigate, deep-dive, explore, understand, learn, study, compare, thorough, comprehensive.
research
Multi-source comprehensive research using perplexity-researcher, claude-researcher, and gemini-researcher agents. Three modes - Quick (3 agents), Standard (9 agents), Extensive (24 agents with be-creative skill). USE WHEN user says 'do research', 'quick research', 'extensive research', 'find information about', 'investigate', 'analyze trends', 'current events', or any research-related request.
Retrospective Validation
Validate methodology effectiveness using historical data without live deployment. Use when rich historical data exists (100+ instances), methodology targets observable patterns (error prevention, test strategy, performance optimization), pattern matching is feasible with clear detection rules, and live deployment has high friction (CI/CD integration effort, user study time, deployment risk). Enables 40-60% time reduction vs prospective validation, 60-80% cost reduction. Confidence calculation model provides statistical rigor. Validated in error recovery (1,336 errors, 23.7% prevention, 0.79 confidence).
rpp
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schema
Generate knowledge schemas and ontologies from any input format. Extract semantic structures, relationships, and hierarchies. Output as Obsidian markdown with YAML frontmatter, wikilinks, tags, and mermaid diagrams, or export to semantic formats (JSON-LD, RDF, Neo4j Cypher, GraphQL). Supports fractal mode (strict hierarchical constraints) and free mode (flexible generation). Auto-activates for queries containing "schema", "ontology", "knowledge graph", "extract structure", or "generate outline".
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