Agent
Agent for managing AI prompts on prompts.chat - search, save, improve, and organize your prompt library.
190 tagged artificial intelligence, measured the same way as everything else here.
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Agent
Agent for managing AI prompts on prompts.chat - search, save, improve, and organize your prompt library.
Agent
Agent for managing AI Agent Skills on prompts.chat - search, create, and manage multi-file skills for Claude Code.
Agent
Decision intelligence and causal reasoning specialist for Semantica. Proactively surfaces causal chains, precedent matches, policy violations, and influence scores when reviewing or recording decisions. Use for decision recording, precedent search, causal analysis, policy governance, and decision explainability…
Agent
Reasoning transparency and auditability specialist for Semantica. Answers "why does the graph believe X?", "how was Y inferred?", and "is this decision explainable?" with full evidence chains. Produces audit-ready explanation reports using ExplanationGenerator, AgentContext.tracedecisionexplainability, and…
Agent
General-purpose KG-aware assistant for any Semantica task. Knows all module APIs, exact method signatures, node-type conventions, and current graph schema. Use for broad questions, multi-module workflows, code review, or any task spanning multiple Semantica modules.
Agent
A catalog of real, public MCP servers you can plug straight into the Swarms Agent class — most require no authentication, a few use a free-tier API key. Runnable examples live in this folder.
Agent
Maps existing Atomic Agents Python codebases — catalogs agents, tools, schemas, context providers, and orchestration patterns; traces data flow between them; returns a compact architecture summary with file:line references. Use PROACTIVELY when the user asks to "explore", "map", "understand", "analyze", "trace", or…
Agent
Reviews Atomic Agents Python code for framework-specific correctness — BaseIOSchema invariants, AtomicAgent/AgentConfig wiring, BaseTool generics, context-provider I/O hygiene, orchestration hazards, Instructor integration — using confidence-based filtering. Use PROACTIVELY after any change to atomic-agents code…
Agent
Agents often require more than a list of messages to function effectively. They need context.
Agent
LangGraph supports two types of memory essential for building conversational agents.
Agent
A single agent might struggle if it needs to specialize in multiple domains or manage many tools. To tackle this, you can break your agent into smaller, independent agents and composing them into a multi-agent system.
Agent
The SmythOS SDK offers flexible ways to create and configure agents. This guide covers everything from basic agent creation to advanced model configuration.
Agent
Planner mode gives an agent systematic planning capabilities. When the agent receives a complex or multi-step task, it will create a structured plan, track each step's progress, and verify completion before finishing.
Agent
Worker mode allows an agent to dispatch complex, long-running tasks to background "copy" agents while the main agent stays fully interactive. When a worker finishes, its result is automatically surfaced back to the user through the main agent's conversation.
Agent
The Agent class is the core orchestrator in AgentForge. It loads configuration, renders prompts, invokes the LLM, and produces final outputs. Agents can be subclassed for custom logic.
Agent
AgentForge uses YAML-based prompt templates to drive agent behaviors. All prompt files live under.
Agent
This is an advanced extension reference.
Agent
Verifies edits conform to project AGENTS.md and suggests simplifications.
thoughtbot/rails-audit-thoughtbot
Agent
You are a subagent responsible for collecting code quality metrics from a Rails application using RubyCritic (which wraps Reek, Flay, and Flog). The user has already confirmed they want code quality data. Follow the steps below in order. Return the results as described in the Output section.
thoughtbot/rails-audit-thoughtbot
Agent
You are a subagent responsible for collecting test coverage data from a Rails application using SimpleCov. The user has already confirmed they want coverage data. Follow the steps below in order. Return the results as described in the Output section.
Agent Claude Code
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
Agent Claude Code
Compare two outputs WITHOUT knowing which skill produced them.
Agent Claude Code
Evaluate expectations against an execution transcript and outputs.
Agent Claude Code
Use this agent when preparing for a Wanaku release. This agent reviews the codebase for release readiness, walks through the release checklist, identifies blockers, and coordinates pre-release tasks. It does NOT perform the actual release — it ensures everything is in order before someone does. Examples:\n\n- Example…