Agent 工作流

可复用的 Agent 工作流和编排模式

926 个 Skills 可用

Skills 列表

session-analyzer

session-analyzer

19agent-workflows

This skill should be used when the user asks to "analyze session", "세션 분석", "evaluate skill execution", "스킬 실행 검증", "check session logs", "로그 분석", provides a session ID with a skill path, or wants to verify that a skill executed correctly in a past session. Post-hoc analysis of Claude Code sessions to validate skill/agent/hook behavior against SKILL.md specifications.

ai-native-camp avatarai-native-camp
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compound

compound

19agent-workflows

작업 중 발견한 인사이트를 구조화된 문서로 축적하여 나만의 지식 베이스를 복리로 성장시킨다

ai-native-camp avatarai-native-camp
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orderly-onboarding

orderly-onboarding

18agent-workflows

Orderly Network 入门:全链永续合约基础设施、MCP 服务器、SDK 和 CLI 快速入门。 在开始使用 Orderly 时使用(例如安装 Orderly MCP、设置 DEX 模板、集成 React SDK、使用 orderly CLI)。

starchild-ai-agent avatarstarchild-ai-agent
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cargo-orchestration

cargo-orchestration

15agent-workflows

通过CLI与Cargo平台交互。当用户想要执行操作、运行工作流、触发批处理、向AI代理发送消息、使用SQL查询编排运行时表(运行/批处理/跨度/记录)、获取段记录、解析操作的输出模式或检查模型模式时使用。

getcargohq avatargetcargohq
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cargo-analytics

cargo-analytics

15agent-workflows

使用 Cargo CLI 下载工作流运行结果、导出分段数据并监控运行指标。当用户需要获取工作区的运行指标、错误率、数据导出或下载结果时使用。如需查看账单和信用额度,请改用 cargo-billing 技能。如需解释运行失败或批次错误的原因,请改用 cargo-diagnostics 技能。

getcargohq avatargetcargohq
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cargo-billing

cargo-billing

15agent-workflows

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 avatargetcargohq
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cargo-workspace-management

cargo-workspace-management

15agent-workflows

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 avatargetcargohq
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strengthen

strengthen

15agent-workflows

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.

zernie avatarzernie
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edit-spec

edit-spec

15agent-workflows

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.

zernie avatarzernie
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adopt-spec

adopt-spec

15agent-workflows

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

zernie avatarzernie
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debug-my-harness

debug-my-harness

15agent-workflows

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).

zernie avatarzernie
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openclaw-config

openclaw-config

13agent-workflows

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

adisinghstudent avataradisinghstudent
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emblem-portfolio-tracker

emblem-portfolio-tracker

12agent-workflows

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。

emblemcompany avataremblemcompany
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emblem-market-research

emblem-market-research

12agent-workflows

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。

emblemcompany avataremblemcompany
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emblem-defi-yield

emblem-defi-yield

12agent-workflows

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。

emblemcompany avataremblemcompany
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emblem-memecoin-scout

emblem-memecoin-scout

12agent-workflows

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。

emblemcompany avataremblemcompany
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emblem-token-swap

emblem-token-swap

12agent-workflows

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。

emblemcompany avataremblemcompany
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openclaw-config

openclaw-config

12agent-workflows

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

adisinghstudent avataradisinghstudent
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emblem-ai-prompt-examples

emblem-ai-prompt-examples

12agent-workflows

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。

emblemcompany avataremblemcompany
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emblem-ai

emblem-ai

12agent-workflows

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。

emblemcompany avataremblemcompany
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emblem-ai-react

emblem-ai-react

12agent-workflows

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。

emblemcompany avataremblemcompany
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anthropic-cybersecurity-skills

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 avatarreason-machines
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meticulous-fix

meticulous-fix

10agent-workflows

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 avataralwaysmeticulous
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meticulous-zero-diff-task

meticulous-zero-diff-task

10agent-workflows

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 avataralwaysmeticulous
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