git-commits
Best practices for creating high-quality Git commits. Covers commit message conventions (Conventional Commits), atomic commits, staging strategies, and when to amend vs create new commits. Helps AI agents generate clean, meaningful commit history.
git-recovery
Safety practices and recovery techniques for Git. Covers reflog usage, reset vs revert strategies, recovering lost commits, undoing mistakes, and preventing data loss. Helps AI agents safely navigate Git operations and recover from errors.
git-collaboration
Collaboration workflows for team-based Git development. Covers pull request workflows, merge vs rebase strategies, conflict resolution, code review practices, and branch protection. Helps AI agents follow team conventions and collaborate effectively.
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-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".
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-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-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".
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.
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.
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.
brand-consistent-visuals
Generate professional brand visualizations that maintain consistent brand identity across all creative assets using multi-step AI analysis and brand guidelines.
copy_writing
Generate professional e-commerce marketing copy, descriptions, and blog posts. Use when the user needs text content.
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.
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.
goals
Optimize prompts via process goals (controllable behavioral instructions) rather than outcome goals (sparse end-result demands). Grounded in sports psychology meta-analysis showing process goals (d=1.36) vastly outperform outcome goals (d=0.09). Use when designing prompts, optimizing LLM steering, implementing CoT/decomposition patterns, or building automatic prompt optimization pipelines. Instantiates surrogate loss paradigm for discrete prompt space.
graph
Use when extracting entities and relationships, building ontologies, compressing large graphs, or analyzing knowledge structures - provides structural equivalence-based compression achieving 57-95% size reduction, k-bisimulation summarization, categorical quotient constructions, and metagraph hierarchical modeling with scale-invariant properties. Supports recursive refinement through graph topology metrics including |R|/|E| ratios and automorphism analysis.
grounding-router
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invoice-organizer
Automatically organizes invoices and receipts for tax preparation by reading messy files, extracting key information, renaming them consistently, and sorting them into logical folders. Turns hours of manual bookkeeping into minutes of automated organization.
internal-comms
A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).
infrastructure-router
Routes infrastructure, MCP, and tooling tasks. Triggers on mcp, server, deploy, orchestrate, pipeline, tools, docker, ci/cd, hook, config, setup.
infranodus-orchestrator
Orchestrates complex knowledge graph analysis workflows using InfraNodus MCP tools integrated with hierarchical-reasoning, knowledge-graph, and obsidian-markdown skills. Use when tasks involve text network analysis, content gap detection, research question generation, SEO optimization, comparative text analysis, or Google search intelligence requiring multi-step analytical workflows with local documentation.
image-enhancer
Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.
hkgb
This skill should be used when building hybrid Knowledge Graphs that integrate structured data (CSV, databases) with automatically extracted entities from unstructured documents (PDFs, text). The pattern establishes a reliable join key between domain graphs and lexical graphs, enabling GraphRAG, document ingestion with metadata enrichment, and Knowledge Graph construction from heterogeneous sources using neo4j-graphrag SimpleKGPipeline.
hierarchical-reasoning
Implements sophisticated multi-level reasoning for complex problems requiring strategic planning, tactical approach design, and operational execution. Use for problems needing deep analysis, multi-step reasoning, systematic decomposition from first principles to implementation, convergence-aware iterative refinement, or uncertainty quantification across abstraction levels.
learn
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CreateSkill
Create and validate skills. USE WHEN create skill, new skill, skill structure, canonicalize. SkillSearch('createskill') for docs.
agent-evaluation
Evaluate and improve Claude Code commands, skills, and agents. Use when testing prompt effectiveness, validating context engineering choices, or measuring improvement quality.
agent-observability
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Agent Prompt Evolution
Track and optimize agent specialization during methodology development. Use when agent specialization emerges (generic agents show >5x performance gap), multi-experiment comparison needed, or methodology transferability analysis required. Captures agent set evolution (Aₙ tracking), meta-agent evolution (Mₙ tracking), specialization decisions (when/why to create specialized agents), and reusability assessment (universal vs domain-specific vs task-specific). Enables systematic cross-experiment learning and optimized M₀ evolution. 2-3 hours overhead per experiment.
agents-router
Routes tasks to appropriate Task tool agents (subagents). Triggers on complex multi-step tasks, research, code review, exploration, or any task benefiting from specialized agent execution. Matches intent to agent types.
alex-hormozi-pitch
Create irresistible offers and pitches using Alex Hormozi's methodology from $100M Offers. Guides through value equation, guarantee frameworks, pricing psychology, and creating offers "too good not to take" for any product or service.
analysis-router
Routes analysis and debugging tasks. Triggers on analyze, debug, troubleshoot, review, audit, security, performance, optimize, investigate, trace.
API Design
Systematic API design methodology with 6 validated patterns covering parameter categorization, safe refactoring, audit-first approach, automated validation, quality gates, and example-driven documentation. Use when designing new APIs, improving API consistency, implementing breaking change policies, or building API quality enforcement. Provides deterministic decision trees (5-tier parameter system), validation tool architecture, pre-commit hook patterns. Validated with 82.5% cross-domain transferability, 37.5% efficiency gains through audit-first refactoring.
apple-reminders
Manage Apple Reminders via the `remindctl` CLI on macOS (list, add, edit, complete, delete). Supports lists, date filters, and JSON/plain output.
article-extractor
Extract clean article content from URLs (blog posts, articles, tutorials) and save as readable text. Use when user wants to download, extract, or save an article/blog post from a URL without ads, navigation, or clutter.
artifacts-builder
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
Baseline Quality Assessment
Achieve comprehensive baseline (V_meta ≥0.40) in iteration 0 to enable rapid convergence. Use when planning iteration 0 time allocation, domain has established practices to reference, rich historical data exists for immediate quantification, or targeting 3-4 iteration convergence. Provides 4 quality levels (minimal/basic/comprehensive/exceptional), component-by-component V_meta calculation guide, and 3 strategies for comprehensive baseline (leverage prior art, quantify baseline, domain universality analysis). 40-50% iteration reduction when V_meta(s₀) ≥0.40 vs <0.20. Spend 3-4 extra hours in iteration 0, save 3-6 hours overall.
bd
Git-native issue tracking with first-class dependency support. Issues stored alongside code in .beads/ directory, dual-persisted in SQLite (queries) and JSONL (git-friendly history). Hash-based IDs, DAG dependencies, daemon mode with RPC, and LSP-inspired multi-workspace support.
bmad-skill
This skill should be used when working with BMAD (BMad-CORE) v6-alpha projects. BMAD is a universal human-AI collaboration platform with specialized modules for software development (BMM), agent building (BMB), creative intelligence (CIS), and project management (BMD). Use this skill to understand agent workflows, command patterns, scale-adaptive methodology, and effective utilization of the four-phase development system.
build-quality-gates
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