Skills Plugins MCP Prompt Model 博客 我的中心
开发编程 #ai #agent #cloud

flue

Build Flue AI-agent applications on Cloudflare Workers with Hono and the Agents SDK. Load when creating Flue agents, workflows, tools, skills, subagents, channels, routing, persistence, validation, deployment, observability, or tests. Entry point for all Flue sub-skills.

DeepseekModel 官方收录技能 质量 良好 · 48 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=louisbrulenaudet-flue-skills-skills-flue-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name flue description Build Flue AI-agent applications on Cloudflare Workers with Hono and the Agents SDK. Load when creating Flue agents, workflows, tools, skills, subagents, channels, routing, persistence, validation, deployment, observability, or tests. Entry point for all Flue sub-skills. type core library flue library_version 1.x (1.0 Beta line) license MIT Flue Flue is a TypeScript framework for building AI agents using the harness-driven architecture popularized by coding agents. An application is a set of agents (continuing instances that accept messages over time), workflows (finite agent-backed operations), tools (application code the model can call), skills (reusable instructions), and channels (verified provider ingress). Flue mounts a Hono HTTP surface and runs on Node.js or Cloudflare Workers; on Cloudflare it uses the Agents SDK and Durable Object SQLite for durable runs and sessions. CRITICAL — documentation first. Flue's API surface is young and version-sensitive. Before writing or editing Flue code, confirm the exact API against the installed version: run pnpm flue docs (bundled offline docs) or read https://flueframework.com/docs . Do not invent APIs, bindings, file layouts, or runtime behavior. If something is not in the docs, omit it or mark it as a recommendation. Package manager — pnpm. This skill pack assumes pnpm to run project-local CLIs: pnpm flue … , pnpm wrangler … . Do not use npx for Flue or Wrangler commands. Ensure flue and wrangler are in your project's devDependencies (or dependencies ) so pnpm resolves them. The one-time skill-pack install ( npx skills add … ) is the only exception. CRITICAL — schema library. This project standardizes on Zod (v4) for all validation, see reference/validation-zod.md for the exact pattern and the z.toJSONSchema() fallback. CRITICAL — Flue manages its own persistence. Flue stores session/run state in Durable Object SQLite automatically on Cloudflare (or via a db.ts adapter on Node) — never wire an external database in as Flue's session store. Keep your business data in your own application database. See reference/database.md . Sub-skills Task File Where files go, src/ vs .flue/ , naming reference/project-layout.md HTTP surface, src/app.ts , middleware, mounting flue() reference/routing.md Hono + Workers entrypoint, assets, request flow reference/hono-workers.md createAgent , profiles, ids, sessions, HTTP exposure reference/agents.md run() , FlueContext , sessions, result schemas reference/workflows.md defineTool , parameters, safe interfaces reference/tools.md Flue skills ( SKILL.md , with { type: 'skill' } ) reference/skills.md Subagent profiles, delegation boundaries reference/subagents.md Verified provider ingress, dispatch, idempotency reference/channels.md Zod validation, type inference, Flue schema slots reference/validation-zod.md Flue persistence + your own business database reference/database.md flue build , wrangler, migrations, secrets, deploy reference/deployment-cloudflare.md ctx.log , observe() , OTel/Braintrust/Sentry reference/observability.md vitest-evals, local dev, pre-deploy checks reference/testing.md Auth boundaries, secrets, prompt injection, isolation reference/security.md End-to-end copy-pasteable examples reference/examples.md Step-by-step task recipes live in workflows/ . Start there for a concrete job; drop into reference/ for depth. Quick decision tree Need a continuing, conversational instance that accepts messages over time? → agents Need a finite, one-shot agent-backed job (summarize, review, transform)? → workflows Need the model to call your code (DB lookup, API call, action)? → tools Need reusable instructions/process the agent loads on demand? → skills Need a specialist the parent agent delegates to (no public endpoint)? → subagents Need to accept verified webhooks/events from an external provider? → channels Need to validate input/output shapes? → validation-zod Need durable business data (customers, tickets, payments)? → database Shipping to Cloudflare Workers? → deployment-cloudflare Default implementation philosophy Prefer the smallest unit that fits: a tool for a discrete action, a workflow for a finite job, an agent only when conversation continuity matters, a subagent for bounded delegation. Validate every trust boundary. Keep Flue's session state separate from durable business data. Expose nothing over HTTP without an explicit route export and middleware. Go through Flue's HTTP admission boundary (or dispatch ) — never call run() directly. Minimal working example // src/agents/hello.ts import { createAgent } from '@flue/runtime' ; export const description = 'Tells a short hello-world joke.' ; export default createAgent ( () => ({ model : 'anthropic/claude-haiku-4-5' , instructions : 'Tell a short "hello world" engineering joke.' , })); pnpm flue dev # watch-mode local server pnpm flue connect hello demo # interactive session against instance "demo" Verification is required before completion Every workflow recipe in this pack ends with a verification step. Do not report a task done until you have run it. The baseline gate for any Flue change: pnpm flue build --target <node|cloudflare> # must build clean # then exercise the affected route, e.g.: curl "http://localhost:3583/workflows/<name>?wait=result" \ -H 'Content-Type: application/json' -d '{ ... }' Anti-patterns (do not do) Inventing Flue APIs from memory instead of checking pnpm flue docs / the live docs. Wiring an external database as Flue's session/run store — that is DO SQLite (automatic on Cloudflare) or a db.ts adapter (Node). Deploying the source wrangler.jsonc instead of the generated dist/<name>/wrangler.json . Adding an agent/workflow without a uniquely-tagged new_sqlite_classes migration. Calling a workflow's run() directly from app code. Exposing an agent/workflow without a route export and auth middleware. One giant skill file or overloaded CLAUDE.md — use progressive disclosure.
Agent 识别该技能的关键词,点击任意一个即可复制。

该技能未提供触发词。

下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。