christophacham/agent-skills-library - 4ページ

gemini-api-dev

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...

原文の言語: 英語

generate-agents-md

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.

原文の言語: 英語

generate-docs

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…

原文の言語: 英語

generate-handover

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…

原文の言語: 英語

generate-image

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,…

原文の言語: 英語

geniml

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…

原文の言語: 英語

geo-fundamentals

Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).

原文の言語: 英語

get-available-resources

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…

原文の言語: 英語

hierarchical-agent-memory

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.

原文の言語: 英語

honest-agent

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,…

原文の言語: 英語

hosted-agents

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,…

原文の言語: 英語

hosted-agents-v2-py

Build hosted agents using Azure AI Projects SDK with ImageBasedHostedAgentDefinition. Use when creating container-based agents in Azure AI Foundry.

原文の言語: 英語

hypogenic

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…

原文の言語: 英語

hypothesis-generation

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.…

原文の言語: 英語

sddimplement

Implement a task with automated LLM-as-Judge verification for critical steps

原文の言語: 英語

improve-retention

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…

原文の言語: 英語

infinite-gratitude

Multi-agent research skill for parallel research execution (10 agents, battle-tested with real case studies).

原文の言語: 英語

reasoning-trace-optimizer

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.

原文の言語: 英語

internal-comms-anthropic

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 ...

原文の言語: 英語

internal-comms

Write internal communications using company formats. Use when writing status reports, leadership updates, company newsletters, FAQs, incident reports, project updates, or any internal communications.

原文の言語: 英語

saddjudge

Launch a sub-agent judge to evaluate results produced in the current conversation

原文の言語: 英語

langfuse

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...

原文の言語: 英語

last30days

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.

原文の言語: 英語

saddlaunch-sub-agent

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

原文の言語: 英語

let-fate-decide

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…

原文の言語: 英語

linear-claude-skill

Manage Linear issues, projects, and teams

原文の言語: 英語

llm-app-patterns

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...

原文の言語: 英語

llm-application-dev-ai-assistant

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

原文の言語: 英語

llm-application-dev-langchain-agent

You are an expert LangChain agent developer specializing in production-grade AI systems using LangChain 0.1+ and LangGraph.

原文の言語: 英語

llm-application-dev-prompt-optimize

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

原文の言語: 英語

llm-evaluation

Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or ...

原文の言語: 英語

m365-agents-dotnet

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.

原文の言語: 英語

m365-agents-py

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.

原文の言語: 英語

m365-agents-ts

Microsoft 365 Agents SDK for TypeScript/Node.js.

原文の言語: 英語

machine-learning-ops-ml-pipeline

Design and implement a complete ML pipeline for: $ARGUMENTS

原文の言語: 英語

manifest

Install and configure the Manifest observability plugin for your agents. Use when setting up telemetry, configuring API keys, or troubleshooting the plugin.

原文の言語: 英語

reflexionmemorize

Curates insights from reflections and critiques into CLAUDE.md using Agentic Context Engineering

原文の言語: 英語

ml-pipeline-workflow

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...

原文の言語: 英語

multi-agent-brainstorming

Simulate a structured peer-review process using multiple specialized agents to validate designs, surface hidden assumptions, and identify failure modes before implementation.

原文の言語: 英語

saddmulti-agent-patterns

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.

原文の言語: 英語