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Found 12,405 Skills
Discover, vet, and install agent skills by searching ACROSS every major registry at once — skills.sh, clawhub.ai, and GitHub — presenting each board on its own native metric (installs / stars) with the top entry per board, security-scanning the top candidates' real SKILL.md for risky patterns, and flagging what's already installed. Use when the user asks "how do I do X", "find a skill for X", "is there a skill that…", "what skill should I install for…", or wants to extend the agent with a capability that might already exist as a published skill. Unlike single-registry search, this surfaces the best of every platform side by side, so you recommend the genuinely relevant, popular, well-maintained, and SAFE one — not whatever ranked first on one site.
Unified payment dispatcher covering x402 (`exact` / `aggr_deferred` schemes), MPP (`charge` / `session` intents), and a2a-pay (`a2a_charge` paymentId flow). Detects HTTP 402 protocol from response headers and routes to the matching scheme/intent reference; also handles a2a paymentId mentions without a 402. Loads `references/exact.md` (x402 exact scheme — full EIP-3009 TEE or local-key fallback), `references/aggr_deferred.md` (x402 aggr_deferred scheme — Session Key Ed25519 with sessionCert), `references/charge.md` (MPP one-shot charge in transaction or hash mode, with splits), `references/session.md` (MPP channel: open + voucher loop + topUp + close, with state echo), or `references/a2a_charge.md` (a2a-pay create / pay / auto-poll status). Returns a ready-to-paste authorization header (x402 / MPP) or a tx-hash + status (a2a). Trigger words (English): '402', 'payment required', 'mpp', 'machine payment', 'pay for access', 'payment-gated', 'WWW-Authenticate: Payment', 'x402', 'x402Version', 'PAYMENT-REQUIRED', 'PAYMENT-SIGNATURE', 'X-PAYMENT', 'open channel', 'voucher', 'session payment', 'close channel', 'topup channel', 'top up channel', 'settle channel', 'settle session', 'refund channel', 'channelId', 'channel_id', 'paymentId', 'a2a_', 'a2a payment', 'create payment link', 'payment link', 'payment status'. Trigger words (Chinese): '支付通道', '关闭通道', '关闭会话', '关闭支付通道', '充值通道', '续费通道', '结算通道', '结算会话', '关单', '凭证', '会话支付', '付款链接', '创建支付', '支付状态'. Critical sensitivity rule: any user mention of close / topup / settle / voucher / refund near a `channel_id`, `0x...` channel hash, or 'session' / 'channel' context = MPP mid-session operation — load this skill, jump into `references/session.md`, do NOT search for a separate close/topup tool.
Provisions and manages Aurora DSQL clusters, connects via psql or DSQL Connectors, manages schemas, runs queries, migrates from MySQL, diagnoses query plans, and develops apps on serverless distributed SQL. Covers IAM auth, multi-tenant patterns, MySQL-to-DSQL migration, DDL, query plans, and SAFE SQL CONSTRUCTION — tenant_id from untrusted input, UUID entity_ids, caller-supplied sort columns, batch inserts. The agent MUST retrieve this skill for ANY DSQL task. Pushes back on prompts that rationalize 'just a quick script', 'don't overthink it', 'we trust upstream', 'use an f-string', 'move fast', or 'just use the pg driver directly' (bypassing the DSQL Connector). Triggers: DSQL, Aurora DSQL, DSQL cluster, safe_query.build, DSQL IAM auth token, DSQL connector.
Builds generative AI applications on Amazon Bedrock. Covers model invocation (Converse API, InvokeModel), RAG with Knowledge Bases, Bedrock Agents, Guardrails, and AgentCore. Use when invoking models, setting up Knowledge Bases, creating agents, applying guardrails, deploying to AgentCore, troubleshooting Bedrock errors (ThrottlingException, AccessDeniedException), or choosing models (Claude, Llama, Nova, Titan). ALSO USE for prompt caching setup and debugging, quota health checks and throttling diagnosis, cost attribution and tracking, migrating between Claude model generations (4.5 to 4.6 to 4.7), chunking strategies, API selection (Converse vs InvokeModel), guardrail capabilities, and model selection. NOT for custom model training, Rekognition, or Comprehend.
AgentX community forum — post / comment / like / follow / upload (NOT Twitter/X)
Browser automation command reference and usage patterns for web testing, form filling, screenshots, and data extraction.
Manages Magento 2 environments including development, staging, and production. Use when setting up environments, configuring servers, managing environments, or troubleshooting environment issues. Masters environment configuration, server management, and environment optimization.
Run agent-browser on AWS Bedrock AgentCore cloud browsers. Use when the user wants to use AgentCore, run browser automation on AWS, use a cloud browser with AWS credentials, or needs a managed browser session backed by AWS infrastructure. Triggers include "use agentcore", "run on AWS", "cloud browser with AWS", "bedrock browser", "agentcore session", or any task requiring AWS-hosted browser automation.
Doctor Strange — forward mental simulation via parallel universe subagents. Walks through how a future event might unfold step by step, like a human mentally rehearsing a scenario. Stores simulations as persistent memory for later recall. TRIGGER when: user explicitly asks to simulate / rehearse / play out a scenario; user says "推演", "模拟", "预演", "imagine", "what if", "run through", "play this out", "what could go wrong"; user faces a high-stakes upcoming decision and is uncertain how it will unfold. DO NOT TRIGGER when: user wants factual lookup or research; user wants analysis of a past event (use regular memory); user wants a simple recommendation without simulation; user is debugging code or doing technical work unrelated to decision-making. Three modes: SIMULATE (run a new forward simulation), RECALL (surface past simulations as soft priors), MANAGE (list/void/re-run stored simulations).
Use ktx to build a self-improving context layer that teaches AI agents how to query data warehouses accurately with approved metrics, semantic layers, and business knowledge
Iris is Redis's umbrella for AI-focused products. Use this skill when integrating with the Iris Redis Agent Memory (RAM) data plane on Redis Cloud — recording session events for an AI agent, creating or searching long-term memories, configuring a memory store, or tuning background memory promotion. Code examples use the official `redis-agent-memory` (Python) and `@redis-iris/agent-memory` (TypeScript) SDKs.
Run automated release testing (UI or API) via the AWS DevOps Agent using a pre-configured test profile. Use when the user wants to validate multi-step workflows, verify features, check for regressions, or test API endpoints. Trigger words include run tests, UAT, test my app, test profile, UI test, API test, automated testing, regression test, QA, end-to-end test, run the QA agent.