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Dynamic prompt registry with unified categorical syntax. Supports @skills:discover(), @skills:compose(A⊗B), Reader monad for runtime lookup, and quality-tracked prompt libraries. Use for meta-prompts referencin...
Domain-specific language for categorical prompt composition with functor combinators and natural transformation operators. Use when building composable prompt templates, implementing typed prompt algebras, crea...
DSPy compositional prompt optimization with categorical signatures, module chaining, and automated prompt tuning. Use when building declarative LLM programs with typed signatures, composing multi-step reasoning...
@effect/ai integration patterns for categorical AI composition, typed error handling, and production prompt pipelines. Use when building AI applications with Effect-TS, composing LLM calls with typed errors, cr...
CC2.0 seven-function research workflow (observe, reason, create, orchestrate, learn, verify, deploy) for categorical AI research. Use when conducting systematic research on categorical AI topics, coordinating m...
Guidance library grammar-constrained generation with categorical structure. Use when implementing structured LLM outputs with grammar constraints, building template-based generation with guaranteed formats, cre...
LangGraph stateful multi-agent graphs with categorical coordination patterns and cyclic workflows. Use when building stateful AI agent systems, implementing multi-agent orchestration with conditional routing, c...
Systematic analysis patterns for categorical AI papers (Gavranović, de Wynter, Bradley, Zhang). Use when analyzing academic papers on categorical deep learning, extracting categorical structures from AI researc...
DisCoPy categorical quantum NLP for string diagrams, monoidal categories, and compositional semantics in Python. Use when implementing compositional distributional semantics, building string diagram computation...
VoltAgent multi-agent system design with natural transformation coordination between agents. Use when building TypeScript multi-agent AI systems, implementing agent coordination with categorical patterns, desig...
Systematic prompt evaluation framework with MATH, GSM8K, and Game of 24 benchmarks. Use when evaluating prompt effectiveness on standard benchmarks, comparing meta-prompting strategies quantitatively, measuring...
[0,1]-enriched category implementation for gradient-based prompt quality optimization. Use when implementing quality-aware prompt systems, building enriched categorical structures for prompt evaluation, creatin...
Managing design tokens and system context for LLM-driven UI development. Covers loading, persisting, and optimizing design decisions within context windows.
Extract actionable knowledge from external sources and enhance existing skills using 4-tier novelty framework. Use when learning from URLs, documentation, or codebases. Use for enhancing existing skills or crea...
Navigate Claude Code documentation and get quick answers about configuration, MCP, plugins, and best practices.
Core Effect foundations and style for a coding agent. Use when starting an Effect task, choosing operators, or structuring a small pipeline.
Provides interactive fuzzy finder for selecting items from any list with preview capabilities. Use this skill when choosing from search results, files, processes, or any command output
The master skill for generating technical specifications. Identifies project technology and delegates deep analysis to specialized sub-skills.
Manage webhooks in Sinch Conversation API. Use when the user wants to create a webhook, update webhook settings, list webhooks, delete a webhook, get webhook details, configure webhook triggers, or manage webho...
Guide for implementing Claude Code hooks - automated scripts that execute at specific workflow points. Use when building hooks, understanding hook events, or troubleshooting hook configuration.
Expert guide for building Claude Code hooks using the claude-hooks-sdk npm package. Use when implementing TypeScript hooks with HookManager, Logger, transforms, context tracking, or troubleshooting SDK features...
Understand resource exhaustion and denial of service vulnerabilities in AI code including unbounded loops, missing rate limits, and uncontrolled resource consumption. Use this skill when you need to learn about...
Understand authentication and authorization defects in AI-generated code including insecure password storage, broken session management, and access control bypasses. Use this skill when you need to learn about...
Understand the security risks inherent in AI-generated code and vibe coding. Use this skill when you need to understand why AI generates insecure code, statistics on vulnerabilities, real-world breach examples,...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.