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Found 5,783 Skills
Agent eXperience Interface (AXI) — ergonomic standards for building CLI tools that agents use via shell execution. Use when building, modifying, or reviewing any agent-facing CLI.
Use this skill when the user wants to spend money, make purchases, send crypto, pay for APIs, browse websites for shopping, complete checkout, or manage an AI agent's payment wallet. Covers buying products online with credit cards (including browser-automated checkout), sending tokens, paying for x402 protocol APIs, checking balances, depositing funds, browsing available services, and signing on-chain transactions — all with secure guardrails, and appropriate human controls. Trigger on any spending, wallet, or shopping intent: "buy this", "pay for that", "send tokens", "how much do I have", "what can I buy", "top up my wallet", "get a card", "set up payments", "find me something to buy", "complete the checkout", or "browse that site" — even if the user doesn't mention "lobster", "crypto", or "Solana" directly.
MUST activate when the project contains a uiBundles/*/src/ directory and the task involves adding or modifying a chat widget, chatbot, or conversational AI. Use this skill when the user asks to add, embed, integrate, configure, style, or remove an agent, chatbot, chat widget, conversation client, or AI assistant. Covers styling (colors, fonts, spacing, borders), layout (inline vs floating, width, height, dimensions), and props (agentId, agentLabel, headerEnabled, showHeaderIcon, showAvatar, styleTokens). Activate when files under uiBundles/*/src/ import AgentforceConversationClient or when adding any chat or agent functionality to a page. Never create a custom agent, chatbot, or chat widget component.
Index skill for the blockint-skills bundle—includes a “choosing a skill” routing map and routes to focused skills on blockchain intelligence fundamentals, address clustering, analytics, tokenomics, investigation ethics, Phalcon Compliance documentation pointer, Chainalysis public Sanctions API/oracle router, FATF official AML/CFT glossary, Arkham Intel research article on leading crypto analysis tools for traders, Christoph Michel cmichel.io guide on becoming an EVM smart contract auditor, risk exposure, behavioral risk, address and transaction screening workflow concepts, Range AI investigation playbook (MCP), crypto market mechanics, OSINT (Bellingcat toolkit), Solana external stacks (Helius, Range MCP, Tavily, PayAI, React Flow, Solana Policy Institute), DeFi/MEV/rug skills, privileged-access mitigation lessons (Chainalysis Drift case study), coral-xyz sealevel-attacks Solana security examples, Neodyme Solana Security Workshop (workshop.neodyme.io), Osec (osec.io) Solana auditor introduction blog post, canonical X post citation for @armaniferrante status 1411589629384355840, BlockchainSpider open-source data collection, MoTS (Know Your Transactions / transaction semantics research repo), Impersonator dApp devtools (EVM + Solana read-only address presentation), Katana web crawling, lcamtuf American Fuzzy Lop (AFL) classic documentation (lcamtuf.coredump.cx/afl), and the official Agent Skills open-format specification (agentskills/agentskills, agentskills.io/llms.txt doc index). Use when the task spans multiple topics or the user needs help picking which named skill to load.
Security auditor for Claude Code skills and agent definitions. Scans a skill or agent directory for prompt injection, data exfiltration, privilege escalation, memory poisoning, obfuscation, malicious persistence, and 12 other threat categories (18 total). Returns a graded verdict (OK / WARNING / CRITICAL) with detailed findings. Use this skill whenever you need to audit, review, or validate the safety of a skill, an agent definition, a system prompt, or any set of instruction files before installing or trusting them. Also use it when the user mentions security scanning, threat detection, prompt injection checking, or wants to verify that a skill is safe. Triggers on: /maton, "audit this skill", "is this skill safe", "check for injection", "scan for threats", "review this agent", "security check".
End-of-session knowledge cleanup with OCD-level rigor — reconciles project docs (CLAUDE.md, README.md, docs/) and agent memory against the code so nothing rots. OCD-level review and synchronization of project documents and agent memory after a session. MUST trigger when the user says: "sync up", "tidy up docs", "update memory", "clean up docs", "/sync", "/neat", "sync up", "tidy up docs", "tidy up", "update memory", "organize", "wrap up", "this phase is done", "newcomers can start directly", or any phrase suggesting a development milestone where knowledge needs reconciliation. Also trigger when the user reports stale docs, conflicting memories, or wants a clean handoff to teammates or other agents. A standalone "tidy" with prior development context counts — do not under-trigger. Cross-platform: works on Claude Code, OpenAI Codex, OpenCode, and OpenClaw.
An image generation/editing Skill for GPT Image 2. It can be used in 3 environments: (A) Garden Local Mode: directly generate and save images via OpenAI-compatible APIs; (B) Host-Native Mode: treat this Skill as a prompt engineering guide, and pass the rendered prompt to the image tool built into the host Agent for image generation; (C) Advisor Mode: degrade to a high-quality prompt consultant when the host has no image tools. It covers 18 major categories and over 80 structured templates, including scenarios such as posters, UI, products, infographics, academic figures, technical architecture diagrams, comics, avatars, process boards, storyboards, IP peripherals, and editing workflows.
This skill should be used when the user asks to "diagnose context problems", "fix lost-in-middle issues", "debug agent failures", "understand context poisoning", or mentions context degradation, attention patterns, context clash, context confusion, or agent performance degradation. Provides patterns for recognizing and mitigating context failures.
让 agent zoom out，并给出更广的 context 或更高层 perspective。Use when you're unfamiliar with a section of code or need to understand how it fits into the bigger picture.
创建结构正确、支持 progressive disclosure 并带 bundled resources 的新 agent skills。Use when user wants to create, write, or build a new skill.
DeepEval evaluation workflow for AI agents and LLM applications. TRIGGER when the user wants to evaluate or improve an AI agent, tool-using workflow, multi-turn chatbot, RAG pipeline, or LLM app; add evals; generate datasets or goldens; use deepeval generate; use deepeval test run; add tracing or @observe; send results to Confident AI; monitor production; run online evals; inspect traces; or iterate on prompts, tools, retrieval, or agent behavior from eval failures. AI agents are the primary use case. Covers Python SDK, pytest eval suites, CLI generation, tracing, Confident AI reporting, and agent-driven improvement loops. DO NOT TRIGGER for unrelated generic pytest, non-AI test setup, or non-DeepEval observability work unless the user asks to compare or migrate to DeepEval.
dontbesilent Good Question Generator. Rewrite vague problems into problem briefs that Agents can reason about, critique, and verify, and assess the degree to which they can be solved automatically. Triggers: /dbs-good-question, /good-question, /problem-brief, /agent-solvability, "Can this problem be solved automatically?", "Help me clarify this problem" Turn fuzzy problems into agent-solvable problem briefs and evaluate automation readiness. Trigger: /dbs-good-question, "clarify this problem", "can an agent solve this"