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SkillsMP hat 1.315 Skills aus christophacham/agent-skills-library gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
christophacham/agent-skills-libraryEs werden 40 von 1.315 gesammelten Skills angezeigt.
Use this skill when building applications with Gemini models, Gemini API, working with multimodal content (text, images, audio, video), implementing function calling, using structured outputs, or n...
Quellsprache: Englisch
Generates a project-specific AGENTS.md that captures conventions, build commands, module rules, and coding standards. This file is read at session start by coding agents and helps keep behavior consistent.
Quellsprache: Englisch
Generate project documentation from an existing codebase. This documentation shall serve Agents and Humans. Creates a project overview, module documentation, and feature documentation with explicit inventories (files/dirs + symbols) for each module. Use this…
Quellsprache: Englisch
Generate a session handover document that captures progress, decisions, and context for seamless session continuity. This documentation shall serve Agents and Humans when working in consecutive sessions with the project. Use this skill at the end of a work…
Quellsprache: Englisch
Generate or edit images using AI models (FLUX, Nano Banana 2). Use for general-purpose image generation including photos, illustrations, artwork, visual assets, concept art, and any image that is not a technical diagram or schematic. For flowcharts, circuits,…
Quellsprache: Englisch
This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based…
Quellsprache: Englisch
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
Quellsprache: Englisch
This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic recommendations that…
Quellsprache: Englisch
Scoped CLAUDE.md memory system that reduces context token spend. Creates directory-level context files, tracks savings via dashboard, and routes agents to the right sub-context.
Quellsprache: Englisch
Configure AI coding agents to be honest, objective, and non-sycophantic. Use when the user wants to set up honest feedback, disable people-pleasing behavior, enable objective criticism, or configure agents to contradict when needed. Triggers on honest agent,…
Quellsprache: Englisch
This skill should be used when the user asks to "build background agent", "create hosted coding agent", "set up sandboxed execution", "implement multiplayer agent", or mentions background agents, sandboxed VMs, agent infrastructure, Modal sandboxes,…
Quellsprache: Englisch
Build hosted agents using Azure AI Projects SDK with ImageBasedHostedAgentDefinition. Use when creating container-based agents in Azure AI Foundry.
Quellsprache: Englisch
Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection, content analysis). Combines literature insights with data-driven…
Quellsprache: Englisch
Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework.…
Quellsprache: Englisch
Implement a task with automated LLM-as-Judge verification for critical steps
Quellsprache: Englisch
Diagnose and fix retention problems using behavior design (B=MAP). Use when the user mentions "users drop off", "activation rate", "onboarding friction", "retention metrics", or "why users don't complete". Covers the Ability Chain, prompt design, and tiny…
Quellsprache: Englisch
Multi-agent research skill for parallel research execution (10 agents, battle-tested with real case studies).
Quellsprache: Englisch
Debug and optimize AI agents by analyzing reasoning traces. Activates on 'debug agent', 'optimize prompt', 'analyze reasoning', 'why did the agent fail', 'improve agent performance', or when diagnosing agent failures and context degradation.
Quellsprache: Englisch
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 ...
Quellsprache: Englisch
Write internal communications using company formats. Use when writing status reports, leadership updates, company newsletters, FAQs, incident reports, project updates, or any internal communications.
Quellsprache: Englisch
Launch a sub-agent judge to evaluate results produced in the current conversation
Quellsprache: Englisch
Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI. Essential for debug...
Quellsprache: Englisch
Research a topic from the last 30 days on Reddit + X + Web, become an expert, and write copy-paste-ready prompts for the user's target tool.
Quellsprache: Englisch
Launch an intelligent sub-agent with automatic model selection based on task complexity, specialized agent matching, Zero-shot CoT reasoning, and mandatory self-critique verification
Quellsprache: Englisch
Draws 4 Tarot cards using os.urandom() to inject entropy into planning when prompts are vague or underspecified. Interprets the spread to guide next steps. Use when the user is nonchalant, feeling lucky, says 'let fate decide', makes Yu-Gi-Oh references…
Quellsprache: Englisch
Manage Linear issues, projects, and teams
Quellsprache: Englisch
Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG, buildin...
Quellsprache: Englisch
You are an AI assistant development expert specializing in creating intelligent conversational interfaces, chatbots, and AI-powered applications. Design comprehensive AI assistant solutions with natur
Quellsprache: Englisch
You are an expert LangChain agent developer specializing in production-grade AI systems using LangChain 0.1+ and LangGraph.
Quellsprache: Englisch
You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimizati
Quellsprache: Englisch
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or ...
Quellsprache: Englisch
Microsoft 365 Agents SDK for .NET. Build multichannel agents for Teams/M365/Copilot Studio with ASP.NET Core hosting, AgentApplication routing, and MSAL-based auth.
Quellsprache: Englisch
Microsoft 365 Agents SDK for Python. Build multichannel agents for Teams/M365/Copilot Studio with aiohttp hosting, AgentApplication routing, streaming responses, and MSAL-based auth.
Quellsprache: Englisch
Microsoft 365 Agents SDK for TypeScript/Node.js.
Quellsprache: Englisch
Design and implement a complete ML pipeline for: $ARGUMENTS
Quellsprache: Englisch
Install and configure the Manifest observability plugin for your agents. Use when setting up telemetry, configuring API keys, or troubleshooting the plugin.
Quellsprache: Englisch
Curates insights from reflections and critiques into CLAUDE.md using Agentic Context Engineering
Quellsprache: Englisch
Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating mod...
Quellsprache: Englisch
Simulate a structured peer-review process using multiple specialized agents to validate designs, surface hidden assumptions, and identify failure modes before implementation.
Quellsprache: Englisch
Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.
Quellsprache: Englisch