ReddRadar
Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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pptx
Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks
majiayu000/claude-skill-registry 163
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vendor-risk-scorer
Comprehensive supplier risk scoring skill with multi-dimensional risk assessment
majiayu000/claude-skill-registry 163
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saga-orchestration
Implement saga patterns for distributed transactions and cross-aggregate workflows. Use when coordinating multi-step business processes, handling compensating transactions, or managing long-running workflows.
majiayu000/claude-skill-registry 163
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ln-221-story-creator
Creates Stories from IDEAL plan (CREATE) or appends user-requested Stories (ADD). Generates 8-section documents, validates INVEST, creates in Linear. Invoked by ln-220.
majiayu000/claude-skill-registry 163
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sigma-algebras
Problem-solving strategies for sigma algebras in measure theory
majiayu000/claude-skill-registry 163
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Pair Programming
AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code review, security scanning, and performance optimization with truth-score verification.
majiayu000/claude-skill-registry 163
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assess
This skill should be used when the user asks to determine what tax filings they need, wants to know if they must file a tax return (確定申告), asks about consumption tax obligations (消費税), or needs help understanding their filing requirements. Trigger phrases include: "確定申告が必要か", "申告の種類", "消費税の届出", "課税事業者かどうか", "何を申告すればいい", "申告要否", "税金の申告", "住民税の申告".
majiayu000/claude-skill-registry 163
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langchain-architecture
Design LLM applications using LangChain 1.x and LangGraph for agents, memory, and tool integration. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.
majiayu000/claude-skill-registry 163
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hodd-rust
HODD-RUST validation-first Rust development - design Rust-specific verifications from requirements, then execute through validation pipeline. Use when developing Rust code with formal verification using rustfmt, clippy, static_assertions, Miri, Loom, Flux, contracts, Kani, or Lean4.
majiayu000/claude-skill-registry 163
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python-testing-patterns
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.
majiayu000/claude-skill-registry 163
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tldr-router
Maps questions to the optimal tldr command. Use this to pick the right layer
majiayu000/claude-skill-registry 163
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software-design-philosophy
Manage software complexity through deep modules, information hiding, and strategic programming. Use when the user mentions "module design", "API too complex", "shallow class", "complexity budget", or "strategic vs tactical". Covers deep vs shallow modules, red flags for complexity, and comments as design documentation. For code quality, see clean-code. For boundaries, see clean-architecture.
majiayu000/claude-skill-registry 163
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ln-100-documents-pipeline
Top orchestrator for complete doc system. Delegates to ln-110 coordinator (project docs via 5 L3 workers) + ln-120-150 workers. Phase 4: global cleanup. Idempotent.
majiayu000/claude-skill-registry 163
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babysit
Orchestrate via @babysitter. Use this skill when asked to babysit a run, orchestrate a process or whenever it is called explicitly. (babysit, babysitter, orchestrate, orchestrate a run, workflow, etc.)
majiayu000/claude-skill-registry 163
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ideate-solutions
Use after opportunities are defined to generate and evaluate multiple product solution concepts before validating assumptions. Triggers when you need a set of distinct solution options tied to outcomes and opportunities.
majiayu000/claude-skill-registry 163
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design-by-contract
Design-by-Contract (DbC) development - design contracts from requirements, then execute CREATE -> VERIFY -> TEST cycle. Use when implementing with formal preconditions, postconditions, and invariants using deal (Python), contracts (Rust), Zod (TypeScript), or Kotlin contracts.
majiayu000/claude-skill-registry 163
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discover-outcomes
Use at the start of product strategy to define or refine desired outcomes and success metrics (e.g., for Opportunity Solution Trees or continuous discovery) before selecting opportunities or solutions.
majiayu000/claude-skill-registry 163
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temporal-python-testing
Test Temporal workflows with pytest, time-skipping, and mocking strategies. Covers unit testing, integration testing, replay testing, and local development setup. Use when implementing Temporal workflow tests or debugging test failures.
majiayu000/claude-skill-registry 163
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research
Conduct preliminary research on a topic and generate research outline. For academic research, benchmark research, technology selection, etc.
majiayu000/claude-skill-registry 163
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perplexity-search
AI-powered web search, research, and reasoning via Perplexity
majiayu000/claude-skill-registry 163
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explore
Meta-skill for internal codebase exploration at varying depths (quick/deep/architecture)
majiayu000/claude-skill-registry 163
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144-java-data-oriented-programming
Use when you need to apply data-oriented programming best practices in Java — including separating code (behavior) from data structures using records, designing immutable data with pure transformation functions, keeping data flat and denormalized with ID-based references, starting with generic data structures converting to specific types when needed, ensuring data integrity through pure validation functions, and creating flexible generic data access layers. Part of the skills-for-java project
majiayu000/claude-skill-registry 163
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senior-data-scientist
World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.
majiayu000/claude-skill-registry 163
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senior-computer-vision
Computer vision engineering skill for object detection, image segmentation, and visual AI systems. Covers CNN and Vision Transformer architectures, YOLO/Faster R-CNN/DETR detection, Mask R-CNN/SAM segmentation, and production deployment with ONNX/TensorRT. Includes PyTorch, torchvision, Ultralytics, Detectron2, and MMDetection frameworks. Use when building detection pipelines, training custom models, optimizing inference, or deploying vision systems.
majiayu000/claude-skill-registry 163