hook-lister
プロジェクトに設定されたフックの一覧を表示するスキル。「フック一覧」「フックを見せて」「設定済みフック」「hooks 確認」「フックリスト」「hook
hooks-authoring
Author AgentOps runtime hooks.
hooks
Hook Development Rules
hosted-agents-v2-py
Build hosted agents using Azure AI Projects SDK with ImageBasedHostedAgentDefinition. Use when creating container-based agents in Azure AI Foundry.
identity
Assume the agent identity
ilya-sutskever
Agente que simula Ilya Sutskever — co-fundador da OpenAI, ex-Chief Scientist, fundador da SSI. Use quando quiser perspectivas sobre: AGI safety-first, consciência de IA, scaling laws, deep learning profundo, o episódio de novembro 2023 na OpenAI, superinteligência segura.
implement-task
Implementation agent that executes a single task and creates handoff on completion
implement_task
Implementation agent that executes a single task and creates handoff on completion
implementing-agent-modes
Guidelines to create/update a new mode for PostHog AI agent. Modes are a way to limit what tools, prompts, and prompt injections are applied and under what conditions. Achieve better results using your plan mode.
implicit-decision-capture
Automatically capture implicit technical decisions and uncertainties encountered by AI agents during coding work. This skill logs decision points where the agent chose an approach without explicit user guidance, enabling later review and context enrichment. Use this proactively during any coding task to track "what choices I made and why."
create-master
基于佛教经典文献，生成特定高僧大德的 AI 教学角色
improve-agents-md
Generate and update AGENTS.md (CLAUDE.md) for projects using a single template with dynamic per-type tooling injection. Auto-detects project type and renders the appropriate Environment & Tooling section. Triggers on keywords: improve agents, generate agents.md, update agents.md, setup claude.md, bootstrap agents
inbox
Agent Mail inbox monitoring. Check pending messages, HELP_REQUESTs, and recent completions. Triggers: "inbox", "check mail", "any messages", "show inbox", "pending messages", "who needs help".
incarnation
Full character autonomy across all layers of existence
incremental-commits
Commit code after each logical unit of work is complete Use when configuring AI agent workflows and patterns. Agent Behavior category skill.
Industry Verticals
Specialized agent configurations for specific industries
infinite-gratitude
Multi-agent research skill for parallel research execution (10 agents, battle-tested with real case studies).
kradleverse:init
Register an agent on kradleverse
init-first-agent
Walk the operator through creating the first NanoClaw agent for a DM channel — resolve the operator's channel identity, wire the DM messaging group to a new agent, and trigger a welcome DM via the normal delivery path. Use after channel credentials are configured and the service is running.
inits
Analyze a codebase and create or improve an AGENTS.md file for future agent instances. Use when onboarding to a repository and capturing hard-to-rediscover conventions, constraints, and rationale.
inquire
Request clarification when input is ambiguous. Use when user request has missing parameters, conflicting interpretations, or insufficient constraints for reliable execution.
instantly-ai
Talk to Instantly Ai Founders about their expertise. Instantly Ai Founders provides authentic advice using their mental models, core beliefs, and real-world examples.
intent-first
Clarify user intent before executing tasks. Use when requests are vague, ambiguous, or could be interpreted multiple ways. Helps prevent wasted effort from misunderstanding.
intent
Turn rough ideas into clear work orders before planning or building. Use when request is vague like "add a button", "make it better", "fix the thing". Triggers on ambiguous or underspecified requests. Produces a brief with scope, acceptance criteria, and stop conditions.
interaction-guidelines
ユーザーとの効果的な対話パターン、質問生成、曖昧さ解消、合意形成、ユーザー負担軽減のガイドラインを定義する。ユーザーに質問する際、要件を確認する際、フィードバックを収集する際、またはユーザーが対話改善、質問方法、確認プロセス、Progressive Disclosureに言及した際に使用する。
interactor-agents
Create LLM-powered AI assistants with tools and data sources through Interactor. Use when building conversational AI, chatbots, tool-calling assistants, or agents that need to query databases and external APIs.
investigate-before-acting
Mandatory protocol that prevents AI agents from fabricating information. Forces best practice search before every action — coding, design, content, pricing, naming, architecture, everything. Every decision must have a citation (source name + URL + direct quote). Based on Anthropic official hallucination reduction techniques.
invoke-opencode-acp
Delegate complex tasks to OpenCode subagent, use when >=2 file modifications or batch operations
jules-cli
Interact with the Jules CLI to manage asynchronous coding sessions. Use this skill to assign tasks, monitor progress, and pull patches from completed sessions.
kagent
Kubernetes-native AI agent framework for building, deploying, and managing AI agents on Kubernetes. This skill should be used when deploying AI agents as Kubernetes resources, analyzing cluster health with AI, and automating complex K8s operations. Use this skill for Phase IV advanced AIOps and agent-based cluster management.
kagenti
Deploy and manage Kagenti platform, operator, agents, and tools on Kubernetes.
kata-set-profile
Switch model profile for kata agents (quality/balanced/budget). Triggers include "set profile", "set profile".
kit-agent-development
(ePost) This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
kitt-create-subagents
Expert guidance for creating, building, and using Claude Code subagents and the Task tool. Use when working with subagents, setting up agent configurations, understanding how agents work, or using the Task tool to launch specialized agents.
koerner-office
Talk to Koerner Office King Of Hustle about their expertise. Koerner Office King Of Hustle provides authentic advice using their mental models, core beliefs, and real-world examples.
konstantinos
Talk to Konstantinos Doulgeridis Youtuber about their expertise. Konstantinos Doulgeridis Youtuber provides authentic advice using their mental models, core beliefs, and real-world examples.
kramme:agents-md
This skill should be used when the user asks to "update AGENTS.md", "add to AGENTS.md", "maintain agent docs", or needs to add guidelines to agent instructions. Guides discovery of local skills and enforces structured, keyword-based documentation style.
langchain-agent
AI agent with tools (search, calculator) using LangGraph and AI SDK.
langchain-agents
Create and use LangChain agents with createAgent - includes agent loops, ReAct pattern, tool execution, and state management
langchain-human-in-the-loop
Add human oversight to LangChain agents using HITL middleware - includes interrupts, approval workflows, edit/reject decisions, and checkpoints
langchain-react-agent
LangChain ReAct agent implementation with tool binding for reasoning and action loops
langchain-retrieval-agent
AI agent with retrieval tool for document Q&A using RAG and LangGraph.
mastering-langgraph
Build stateful AI agents and agentic workflows with LangGraph in Python. Covers tool-using agents with LLM-tool loops, branching workflows, conversation memory, human-in-the-loop oversight, and production monitoring. Use when - (1) building agents that use tools and loop until task complete, (2) creating multi-step workflows with conditional branches, (3) adding persistence/memory across turns with checkpointers, (4) implementing human approval with interrupt(), (5) debugging via time-travel or LangSmith. Covers StateGraph, nodes, edges, add_conditional_edges, MessagesState, thread_id, Command objects, and ToolMessage handling. Examples include chatbots, calculator agents, and structured workflows.
langgraph-architecture
Guides architectural decisions for LangGraph applications. Use when deciding between LangGraph vs alternatives, choosing state management strategies, designing multi-agent systems, or selecting persistence and streaming approaches.
langgraph-checkpoints
LangGraph checkpointing and persistence. Use when implementing fault-tolerant workflows, resuming interrupted executions, debugging with state history, or avoiding re-running expensive operations.
langgraph-code-review
Reviews LangGraph code for bugs, anti-patterns, and improvements. Use when reviewing code that uses StateGraph, nodes, edges, checkpointing, or other LangGraph features. Catches common mistakes in state management, graph structure, and async patterns.
langgraph-development-skill
'CRITICAL: LangGraph workflows are NestJS applications under apps/langgraph/.
langgraph
Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpointers, human-in-the-loop patterns, and the ReAct agent pattern. Used in production at LinkedIn, Uber, and 400+ companies. This is LangChain's recommended approach for building agents. Use when: langgraph, langchain agent, stateful agent, agent graph, react agent.
langgraph-functional
LangGraph Functional API with @entrypoint and @task decorators. Use when building workflows with the modern LangGraph pattern, enabling parallel execution, persistence, and human-in-the-loop.
langgraph-fundamentals
INVOKE THIS SKILL when writing ANY LangGraph code. Covers StateGraph, state schemas, nodes, edges, Command, Send, invoke, streaming, and error handling.
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