Agents

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mcp-chainingparcadeiResearch-to-implement pipeline chaining 5 MCP tools with graceful degradation mcp-scriptsparcadeiMCP Script Rules motparcadeiSystem health check (MOT) for skills, agents, hooks, and memory no-polling-agentsparcadeiNo Polling for Background Agents no-task-outputparcadeiNever Use TaskOutput observe-before-editingparcadeiObserve Before Editing onboardparcadeiAnalyze brownfield codebase and create initial continuity ledger parallel-agent-contractsparcadeiParallel Agent Type Contracts parallel-agentsparcadeiParallel Agent Orchestration recallparcadeiQuery the memory system for relevant learnings from past sessions recall-reasoningparcadeiSearch past reasoning for relevant decisions and approaches rememberparcadeiStore a learning, pattern, or decision in the memory system for future recall resume-handoffparcadeiResume work from handoff document with context analysis and validation search-routerparcadeiChoose the right search tool for each query type search-toolsparcadeiSearch Tool Hierarchy skill-developmentparcadeiSkill Development Rules skill-upgraderparcadeiUpgrade any skill to v5 Hybrid format using decision theory + modal logic sub-agentsparcadeiCreate and configure Claude Code sub-agents with custom prompts, tools, and models system-overviewparcadeiShow users how Continuous Claude works - the opinionated setup with hooks, memory, and coordination workflow-routerparcadeiGoal-based workflow orchestration - routes tasks to specialist agents based on user goals culturepaulnsorensenPrimarily the agent's internal-thinking skill — invoke it silently to model a problem, identify trade-offs, and decide what to do, BEFORE asking the user anything or dispatching another skill. Only treat this as a user-facing skill when the user has explicitly opted out of code writes — phrases like "no writes", "just rubber-duck this", "let's only talk", "/culture"; there it records the session's ideas, decisions, and info to the durable knowledge lane. Do NOT use for shaping a written spec (`/wheypointpaulnsorensenMark the current conversation as a durable handoff so a new agent can resume the work. Use when the user wants to preserve state for a later or parallel session. Triggers include "hand this off", "write a handoff", "drop a wheypoint", "checkpoint this", "compact the conversation", and "/wheypoint". Also use for "wrap up" or "I need to clear context" during a task. Do NOT use for phase handoffs from `/cook`, `/press`, `/age`, or `/cure`.mcp-cliphilschmidInterface for MCP (Model Context Protocol) servers via CLI. Use when you need to interact with external tools, APIs, or data sources through MCP servers.honcho-cliplastic-labsInspect and debug Honcho workspaces via the `honcho` CLI. Use when investigating peer representations, memory state, session context, or dialectic quality — any task that requires introspection of a Honcho deployment, including verifying that a recall/record memory loop is actually working.honcho-integrationplastic-labsIntegrate Honcho memory into existing Python or TypeScript codebases. Use when adding Honcho SDK, setting up peers, configuring sessions, and accessing Honcho's representation.implementposit-devOrchestrates implementation of a plan file by delegating work to subagents in parallel. Verifies git branch state, tracks progress, and ensures high-quality implementation. Invoke with a plan file path and optional model override: /implement plans/my-plan.md [--model sonnet]prath-modeprathamdbyprath-mode when routing goal-shaped work to a playbook that sequences prathamdby/skills leaves, including multi-step delivery chains.utility-pm-workflow-builderproduct-on-purposeGuides a contributor from a workflow idea to a complete Workflow Implementation Packet (draft workflow file, draft workflow command, cross-cutting update checklist) in a staging area for review. Runs overlap analysis against the existing workflows with a Why Gate, then helps select and sequence skills with authored handoffs. Use when creating a new multi-skill workflow or promoting a repeated ad-hoc chain into a durable one. To build a single skill instead, use utility-pm-skill-builder; to run a intent-framed-agentpskoettFrames coding-agent work sessions with explicit intent capture and drift monitoring. Use when a session transitions from planning/Q&A to implementation for coding tasks, refactors, feature builds, bug fixes, or other multi-step execution where scope drift is a risk.self-improvement-cipskoettCI-only self-improvement workflow using gh-aw (GitHub Agentic Workflows). Captures recurring failure patterns and quality signals from pull request checks, emits structured learning candidates, and proposes durable prevention rules without interactive prompts. Use when: you want automated learning capture in CI/headless pipelines.self-improving-agentpskoettCaptures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.creative-generation-agentqodex-aiBuild agents that generate creative content including music, memes, podcasts, and multimedia. Covers generative models, content synthesis, style transfer, and creative control. Use when building creative assistants, automated content creators, multimedia generators, or artistic AI systems.ue-project-contextquodsolerUse when creating, refreshing or repairing `.agents/ue-project-context.md`, the project document every other UE skill reads first. Also use when the user says 'project context', 'set up context', 'UE context', 'scan my project', 'onboard the agent to my project', 'update project context', 'configure project', 'what engine version is this project on', 'which plugins do we have enabled', or complains that UE advice keeps coming out generic. For Build.cs and Target.cs mechanics, see ue-module-build codebase-memory-mcp-intelligencereason-machinesHigh-performance code intelligence MCP server that indexes codebases into knowledge graphs for structural queries, call traces, and architecture analysis 724-office-ai-agentreason-machinesSelf-evolving AI agent system with 26 tools, three-layer memory, MCP plugins, and 24/7 self-repair in pure Python.agent-flow-visualizationreason-machinesVS Code extension for real-time visualization of Claude Code agent orchestration as interactive node graphs caveman-token-optimizerreason-machinesClaude Code skill that makes AI agents respond in caveman-speak, cutting ~65-75% of output tokens while preserving full technical accuracy claude-code-source-studyreason-machinesDeep dive into Claude Code source code to learn production-grade AI agent architecture patterns claude-peers-mcpreason-machinesEnable multiple Claude Code instances to discover each other and exchange messages in real-time via a local broker daemon and MCP server.claw-code-harnessreason-machinesBetter Harness Tools for Claude Code — a Python (and in-progress Rust) rewrite of the Claude Code agent harness, with CLI tooling for manifest inspection, parity auditing, and tool/command inventory.clawd-code-python-portreason-machinesPython port of Claude Code agent harness — tools, commands, task orchestration, and CLI entrypoint via oh-my-codex codesight-ai-contextreason-machinesUniversal AI context generator that compiles codebase maps, wiki knowledge bases, and MCP tools to save thousands of tokens per AI conversation.fabro-workflow-factoryreason-machinesSkill for using Fabro, the open source AI coding workflow orchestrator that lets you define agent pipelines as Graphviz DOT graphs with human gates, multi-model routing, and cloud sandboxes.keyid-agent-kit-mcpreason-machinesGive AI agents (Claude, Cursor) a real email address with 27 MCP tools for inbox, send, reply, contacts, search, and more via KeyID.ai mac-code-local-ai-agentreason-machinesRun a free 35B AI coding agent on Apple Silicon Macs using local LLMs via llama.cpp or MLX with web search, shell, and file tools.mcp-brasil-public-apisreason-machinesMCP Server connecting AI agents to 28 Brazilian public APIs covering economy, legislation, transparency, judiciary, elections, environment, health, and more open-agent-sdkreason-machinesBuild and deploy autonomous AI agents in-process using Open Agent SDK, an open-source alternative to @anthropic-ai/claude-agent-sdk that works anywhere without CLI dependencies.open-multi-agent-orchestrationreason-machinesExpertise in using open-multi-agent, a TypeScript framework for building production-grade multi-agent AI teams with task scheduling, dependency graphs, and inter-agent communication.openhanako-personal-ai-agentreason-machinesBuild and configure personal AI agents with memory, personality, and autonomy using OpenHanako on Electron.parlor-on-device-aireason-machinesOn-device, real-time multimodal AI voice and vision assistant powered by Gemma 4 E2B and Kokoro TTS, running entirely locally via FastAPI WebSocket server.