Agent 工作流

使用 Cargo CLI 拉取使用指标、检查订阅状态、查看发票和管理积分。当用户需要其 Cargo 工作区的账单分析、使用报告、积分使用、成本分析、订阅详情或发票历史时使用。

getcargohq

cargo-workspace-management

Administer a Cargo workspace and talk back to the Cargo team — invite and manage members, mint and rotate API tokens, organize plays, tools, and agents into folders, inspect roles, upload batch input files, and file reports. Triggers: \"invite my teammate\", \"create an API token for CI\", \"who has access\", \"organize these into folders\", \"rotate that token\", \"upload this CSV for a batch\" — and for feedback: \"report this bug to Cargo\", \"send feedback to the Cargo team\", \"this CLI command is broken\", \"share this session with Cargo\", \"request a feature\". Most commands need a token with admin access. Skip when: the question is about credits, plans, or invoices — use cargo-billing.

getcargohq

strengthen

Upgrade a vigiles spec's guidance() rules to enforce() — scan the guidance rules in a CLAUDE.md/AGENTS.md spec and find existing linter rules (ESLint, Ruff, Clippy, Pylint, RuboCop, Stylelint) that back them. Use when asked to strengthen, harden, or make vigiles rules enforceable; NOT for general linting or fixing lint errors.

edit-spec

Edit a vigiles .spec.ts to change a compiled instruction file (CLAUDE.md / AGENTS.md) — add, modify, or remove a rule, section, command, or key file. Use whenever you need to change a CLAUDE.md/AGENTS.md that carries a vigiles hash (edit the spec, never the artifact), including adding a new enforce()/check()/guidance() rule.

adopt-spec

Adopt a typed .spec.ts for an existing hand-written CLAUDE.md — start from the file you already have, non-destructively

debug-my-harness

Diagnose why an agent harness misbehaved by reading the local flight-recorder ledger (.vigiles/runs.jsonl) — which skills fired or got hijacked, which hooks blocked or wrongly allowed, which subagent tool-contract violations happened, and how a skill's trigger rate moved. Use when asked why a skill stopped firing, why a hook didn't block, why the wrong skill ran, or to debug/investigate what the harness actually did. NOT for writing new rules (use strengthen) or editing the spec (use edit-spec).

openclaw-config

13agent-workflows

Manage OpenClaw bot configuration - channels, agents, security, and autopilot settings

adisinghstudent

emblem-portfolio-tracker

通过EmblemAI追踪7条区块链上的加密投资组合。聚合余额及美元价值、条件交易盈亏及通过Nansen追踪DeFi头寸。当用户想要查看投资组合、跨链余额或审查交易头寸时使用。

emblem-market-research

通过EmblemAI获取加密货币市场情报。热门代币、链上分析、衍生品数据和来自CoinGecko、CoinGlass、Birdeye和Nansen的聪明钱追踪。当用户需要市场数据、热门代币、衍生品分析或链上情报时使用。

emblem-defi-yield

通过EmblemAI进行DeFi收益研究和流动性质押。发现收益机会，比较协议，使用Nansen检查DeFi头寸，并通过代币交换进入流动性质押。当用户想要研究收益、寻找质押选项或查看DeFi头寸时使用。

emblem-memecoin-scout

通过EmblemAI进行Memecoin发现和风险评估。Solana、Base和Hedera上的热门Memecoin。Pump.fun和LaunchLab新代币提醒、Clanker发现、Rug Pull检测、持有者分析和聪明钱追踪。当用户想要寻找新的Memecoin、检查代币是否为Rug Pull或搜寻热门低市值代币时使用。

emblem-token-swap

通过EmblemAI在6条区块链上执行代币交换。自动路由优化和通过ChangeNow实现的跨链桥接。当用户想要交换代币、兑换加密货币、转换货币或跨链桥接资产时使用。

openclaw-config

Manage OpenClaw bot configuration - channels, agents, security, and autopilot settings

adisinghstudent

emblem-ai-prompt-examples

精选的提示词和使用示例，涵盖研究、投资组合审查、报价请求、审批控制的草稿、NFT发现、预测市场分析和助手工作流程。重点在于审查优先、信任边界感知的外部数据使用，以及在任何价值转移操作前进行明确确认。当用户需要面向终端用户的EmblemAI任务的示例提示词、措辞指导或样本请求时使用。

emblem-ai

用于应用的一站式用户管理、多链钱包认证、AI 驱动的助手以及 AI 应用内省。当用户希望让网站用户通过钱包、邮箱/密码或社交登录进行登录，并为每个用户创建支持钱包的账户，然后嵌入 EmblemAI 聊天界面、连接插件或添加 Reflexive 可观测性时使用。提供 React 组件、TypeScript SDK、基于会话的认证，以及指向 React 和 agent-wallet 技能的指针，用于专门的工作流程。

emblem-ai-react

React 集成技能，用于 EmblemAI 的一站式用户管理。当用户想要在 React 应用中添加网站认证和钱包支持的用户功能时使用，包括 EmblemAuthProvider、ConnectButton、社交/邮箱/钱包登录、聊天组件、React 认证钩子、React 组合模式或 Migrate.fun React 钩子。

anthropic-cybersecurity-skills

11agent-workflows

Use 754 structured cybersecurity skills mapped to MITRE ATT&CK, NIST CSF, ATLAS, D3FEND, and NIST AI RMF for AI-driven security operations

reason-machines

meticulous-fix

Fix the visual diffs that have been reviewed and rejected on a Meticulous test run, following their review comments if given. Use when a user has reviewed the results of a test run and is handing off to an agent to implement the fixes.

alwaysmeticulous

meticulous-zero-diff-task

Implement a task for which no visual diffs are expected end to end, using Meticulous to drive the implementation to a clean visual diff before opening a PR. Use when the task's whole premise is "the UI shouldn't change" — a dependency/version upgrade, a code refactor, a migration, or similar. Meticulous isn't just a final check here, it's the loop you iterate against while implementing.

alwaysmeticulous

china-3c-marketing-copilot

AI-powered marketing copilot for China's 3C consumer electronics market (mobile, laptops, earphones, wearables, smart home)

reason-machines

founder-marketing-skills

Open-source marketing skills for founders using Claude agents - keyword research, growth strategy, social search audit, and competitor analysis

reason-machines

twill-cloud-coding-agent

9agent-workflows

Use Twill Cloud Coding Agent to manage Twill's public v1 API workflows. Create/list/update tasks, stream and cancel jobs, manage scheduled tasks, list repositories, and export Claude teleport sessions.

twillai

meticulous-iterative-dev

7agent-workflows

使用 Meticulous 进行逐步视觉验证的迭代式前端开发循环。适用于实现多步骤前端变更时，希望在最终云端测试运行之前，在每一步捕获视觉回归和意外副作用。

alwaysmeticulous

shape-your-agent

7agent-workflows

Interactive session to craft a system prompt for an AI agent powered by the Sanity Context MCP server. Use this skill when users want to define agent personality, set tone/voice, establish boundaries and guardrails, configure refusal behaviors, or control how their agent communicates. Trigger when users mention their agent sounds wrong, needs to refuse certain requests, has the wrong tone, or they want to set communication rules and policies.

sanity-io