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slack-agent — скилл для Claude Code: что делает и как установить

Пошаговый мастер для создания ботов в Slack на базе фреймворка eve от Vercel. Подключает токены через Vercel Connect и следит за тестами.

Установить в Claude Code · Через Skills CLI (Vercel) Все способы и платформы ↓
npx skills add vercel-labs/slack-agent-skill --skill slack-agent -a claude-code
Открыть на GitHub

Что делает slack-agent

Скилл управляет разработкой Slack-агентов на движке eve с файловой структурой в папке agent/. Он проводит через пошаговый мастер: от согласования архитектуры и вызова npx eve@latest init до настройки каналов в agent/channels/slack.ts. Модели по умолчанию подключаются через Vercel AI Gateway к Claude Sonnet.

Авторизация Slack работает через @vercel/connect, поэтому вручную хранить секреты подписи или постоянные токены бота не нужно. При этом сам интерфейс Slack активен только после вызова eve deploy. Локально логику проверяют через eve dev.

Для работы фреймворка строго требуется Node.js версии 24 или выше. Проект накладывает строгие правила качества: правки не считаются завершёнными без прохождения pnpm typecheck и модульных тестов на Vitest.

Какие задачи решает

  • Развернуть структуру проекта Slack-бота с помощью npx eve@latest init
  • Настроить авторизацию Slack через Vercel Connect без ручного ввода токенов
  • Сгенерировать инструменты агента в папке agent/tools/ со схемами Zod
  • Подготовить модульные тесты на Vitest для функций и инструментов

Примеры запросов агенту

  • /slack-agent new
  • /slack-agent deploy
  • Запусти мастер /slack-agent configure для настройки канала Slack

Как установить slack-agent

1Через Skills CLI (Vercel)

npx skills add vercel-labs/slack-agent-skill --skill slack-agent -a claude-code

2Вручную: положить файлы

~/.claude/skills/slack-agent/SKILL.md

Папка скилла целиком; для одного проекта — .claude/skills/slack-agent/

По шагам, с командами для каждой платформы: Как установить скилл в Claude Code: пять способов

Вопросы о slack-agent

Как установить slack-agent в Claude Code?

Запустите команду npx skills add vercel-labs/slack-agent-skill --skill slack-agent -a claude-code. Файл навыка сохранится в каталоге ~/.claude/skills/slack-agent/SKILL.md.

Что делает скилл slack-agent?

Он ведёт разработчика по этапам создания Slack-бота на фреймворке eve от Vercel. Скилл помогает составить архитектурный план, настроить коннектор и подготовить тесты.

Какие требования к окружению нужны для работы?

Для запуска eve обязателен Node.js 24 или новее. Протестировать интеграцию со Slack получится только после деплоя через eve deploy, а локальная отладка идёт через консольный TUI eve dev.

Исходный текст

SKILL.md · Apache-2.0
---
name: slack-agent
description: Use when building Slack agents/bots with eve (Vercel's filesystem-first agent framework), @vercel/connect, or eve/channels/slack. Covers defineAgent/defineTool patterns, Vercel Connect credential brokering, Slack channel setup, testing requirements, and quality standards.
version: 5.0.0
user-invocable: true
---

# Slack Agent Development Skill

This skill builds Slack agents with **eve** — Vercel's filesystem-first framework for durable backend agents — using **Vercel Connect** for Slack credentials:

- **eve** (`eve` package) — agent runtime, tools, channels, durability
- **@vercel/connect** — brokered short-lived Slack tokens; no bot tokens or signing secrets to manage

## Skill Invocation Handling

When this skill is invoked via `/slack-agent`, check for arguments and route accordingly:

### Command Arguments

| Argument | Action |
|----------|--------|
| `new` | **Run the setup wizard from Phase 1.** Read `./wizard/1-project-setup.md` and guide the user through creating a new Slack agent. |
| `configure` | Start wizard at Phase 2 or 3 for existing projects |
| `deploy` | Start wizard at Phase 5 for production deployment |
| `test` | Start wizard at Phase 6 to set up testing |
| (no argument) | Auto-detect based on project state (see below) |

### Auto-Detection (No Argument)

If invoked without arguments, detect the project state and route appropriately:

1. **No `package.json` with `eve` and no `agent/` directory** → Treat as `new`, start Phase 1
2. **Has eve project but no `agent/channels/slack.ts`** → Start Phase 2 (Slack connector + channel)
3. **Has Slack channel but no `SLACK_CONNECTOR` configured** → Start Phase 3
4. **Configured but not deployed** → Start Phase 5 (the Slack surface only works on a deployment)
5. **Deployed but no tests** → Start Phase 6
6. **Otherwise** → Provide general assistance using this skill's patterns

### Project Detection

Detect an eve project by either signal:

- **`package.json` contains `"eve"`** as a dependency
- **An `agent/` directory** with `instructions.md` and/or `agent.ts` exists

If neither is present, this is a new project: scaffold with `npx eve@latest init` (Node 24+ required).

### Wizard Phases

The wizard is located in `./wizard/` with these phases:
- `1-project-setup.md` - Understand purpose, generate custom implementation plan, scaffold with `npx eve@latest init`
- `1b-approve-plan.md` - Present plan for user approval before scaffolding
- `2-create-slack-app.md` - Create the Slack connector with Vercel Connect and add the Slack channel
- `3-configure-environment.md` - Set up env vars (`SLACK_CONNECTOR`, model credentials)
- `4-test-locally.md` - Test agent logic locally with the `eve dev` TUI (Slack surface tests happen after deploy)
- `5-deploy-production.md` - Deploy with `eve deploy`, verify the Slack surface
- `6-setup-testing.md` - Vitest configuration

**IMPORTANT:** For `new` projects, you MUST:
1. Read `./wizard/1-project-setup.md` first
2. Ask the user what kind of agent they want to build
3. Generate a custom implementation plan using `./reference/agent-archetypes.md`
4. Present the plan for approval (Phase 1b) BEFORE scaffolding the project
5. Only proceed to scaffold after the plan is approved

---

## General Development Guidance

You are working on a Slack agent project built with eve. Follow these mandatory practices for all code changes.

## Project Stack

- **Framework**: eve (filesystem-first agent framework; Node 24+)
- **Slack channel**: `eve/channels/slack` + `@vercel/connect` for credentials
- **AI**: model routed through Vercel AI Gateway by default (`anthropic/claude-sonnet-5`); tool schemas with `zod`
- **Durability**: Workflow SDK under the hood (Vercel Workflows when deployed on Vercel)
- **Linting**: Biome
- **Package Manager**: pnpm (or npm — `npx eve@latest init` installs with npm)

```json
{
  "engines": { "node": "24.x" },
  "dependencies": {
    "eve": "latest",
    "ai": "latest",
    "zod": "^3.x",
    "@vercel/connect": "latest"
  }
}
```

### Filesystem-First Layout

In eve, a file's location says what it does, and its path usually gives it its name. The whole agent lives under `agent/`:

```
agent/
├── instructions.md        # Always-on system prompt
├── agent.ts               # Runtime config (defineAgent): model, reasoning, compaction
├── tools/                 # Tools — filename (snake_case ASCII) = tool name the model sees
│   ├── get_weather.ts
│   └── search_docs.ts
├── skills/                # Load-on-demand instructions (*.md with description frontmatter)
│   └── incident-triage.md
├── channels/
│   └── slack.ts           # Slack channel — filename registers it at /eve/v1/slack
├── connections/           # MCP / OpenAPI connections (optional)
└── hooks/                 # Subscribe to runtime stream events (optional)
```

Even a two-file agent (`instructions.md` + `agent.ts`) gets file, shell, web, and delegation tools out of the box from the default harness. Full docs are bundled at `node_modules/eve/docs/` once eve is installed — read them when a detail isn't covered here.

```ts
// agent/agent.ts
import { defineAgent } from "eve";

export default defineAgent({
  model: "anthropic/claude-sonnet-5", // routed via Vercel AI Gateway
});
```

---

## Quality Standards (MANDATORY)

These quality requirements MUST be followed for every code change. There are no exceptions.

### After EVERY File Modification

1. **Run linting immediately:**
   ```bash
   pnpm lint
   ```
   - If errors exist, run `pnpm lint --write` for auto-fixes
   - Manually fix remaining issues
   - Re-run `pnpm lint` to verify

2. **Check for corresponding test file:**
   - If you modified `foo.ts`, check if `foo.test.ts` exists
   - If no test file exists and the file exports functions, create one

### Before Completing ANY Task

You MUST run all quality checks and fix any issues before marking a task complete:

```bash
# 1. TypeScript compilation - must pass
pnpm typecheck

# 2. Linting - must pass with no errors
pnpm lint

# 3. Tests - all tests must pass
pnpm test
```

**Do NOT complete a task if any of these fail.** Fix the issues first.

### Unit Tests Required

**For ANY code change, you MUST write or update unit tests.**

- **Location**: Co-located `*.test.ts` files (e.g. `agent/tools/get_weather.test.ts`)
- **Framework**: Vitest
- **Coverage**: All exported functions and every tool's `execute()` (including error paths) must have tests

Example test structure:
```typescript
import { describe, it, expect, vi } from 'vitest';
import { myFunction } from './my-module';

describe('myFunction', () => {
  it('should handle normal input', () => {
    expect(myFunction('input')).toBe('expected');
  });

  it('should handle edge cases', () => {
    expect(myFunction('')).toBe('default');
  });
});
```

### E2E Tests for User-Facing Changes

If you modify:
- Dispatch hooks (`onAppMention`, `onDirectMessage`, `onInteraction`)
- Custom channel event handlers
- Tools the agent calls in response to Slack messages
- Delivery behavior (what gets posted to Slack)

You MUST add or update tests that verify the full flow. Remember: the Slack surface itself cannot be exercised locally (see Gotchas), so E2E coverage means unit/integration tests around your handlers plus a post-deploy smoke test.

---

## Bot Setup Patterns (CRITICAL)

### Slack Channel (`agent/channels/slack.ts`)

The Slack channel is a single file. Its filename registers the `slack` channel, served at **`/eve/v1/slack`** — this is the canonical trigger path everywhere in this skill.

```ts
// agent/channels/slack.ts
import { connectSlackCredentials } from "@vercel/connect/eve";
import { slackChannel } from "eve/channels/slack";

export default slackChannel({
  credentials: connectSlackCredentials(process.env.SLACK_CONNECTOR!),
});
```

`connectSlackCredentials(connectorUid)` returns `{ botToken, webhookVerifier }`:
- **botToken** — resolved at runtime via Vercel Connect as a short-lived, app-scoped token; Connect handles rotation and multi-workspace tenancy
- **webhookVerifier** — confirms each forwarded event genuinely came from Connect (replaces Slack's native signature check)

There is **no `SLACK_BOT_TOKEN` and no `SLACK_SIGNING_SECRET`** in this stack. The only Slack env var is `SLACK_CONNECTOR` (the connector UID, e.g. `slack/my-agent`).

### Vercel Connect Setup

Create a Slack connector and point its trigger at eve's Slack route:

```bash
npm install -g vercel@latest

# Create the connector with event forwarding enabled
vercel connect create slack --triggers

# Attach the project as a trigger destination on eve's route
# (the default trigger path is /slack — set it explicitly):
vercel connect attach <uid> --triggers --trigger-path /eve/v1/slack --yes
```

**`--triggers` is required.** Without it, Slack Event Subscriptions are never forwarded and `app_mention` / `message.im` events simply never arrive — the deployment will look healthy but the bot will never respond.

You can also add the channel with `eve channels add slack`, which scaffolds `agent/channels/slack.ts` for you.

### Deploy

```bash
eve deploy
# wraps: vercel deploy --prod
```

Then invite the bot to a channel and @mention it. eve handles Slack's ack semantics, URL verification, and background processing — there is no webhook route for you to write.

---

## Event Handling Patterns

### Dispatch Hooks (Inbound)

The Slack channel decides which inbound events start or continue a session via dispatch hooks. Each hook returns `{ auth }` to dispatch, `null` to drop the event, or `{ auth, context }` to inject background context into the session:

```ts
export default slackChannel({
  credentials: connectSlackCredentials(process.env.SLACK_CONNECTOR!),

  // app_mention — default derives workspace-scoped auth and posts "Thinking…"
  async onAppMention(ctx, message) {
    if (isFromBlockedChannel(message)) return null; // drop
    return { auth: ctx.defaultAuth };
  },

  // message.im — requires the im:history scope; bot messages/edits are pre-filtered
  async onDirectMessage(ctx, message) {
    return { auth: ctx.defaultAuth };
  },

  // block_actions not consumed by HITL prompts
  async onInteraction(action, ctx) {
    return { auth: ctx.defaultAuth };
  },
});
```

The triggering Slack user's id is attached to the model message automatically, preserving speaker attribution in multi-user threads.

### Custom Event Handlers (Outbound Delivery)

Override delivery per stream event with the `events` map. Handlers receive `(eventData, channel, ctx)` with `channel.thread` and `channel.slack` handles:

```ts
export default slackChannel({
  credentials: connectSlackCredentials(process.env.SLACK_CONNECTOR!),
  events: {
    "message.completed"(eventData, channel, ctx) {
      if (eventData.finishReason === "tool-calls") return;
      if (eventData.message) channel.thread.post(eventData.message);
    },
  },
});
```

Key stream events: `session.started`, `actions.requested`, `action.result`, `message.completed`, `session.completed`; incremental `reasoning.appended` / `message.appended` are optional.

### Thread Context

Give the agent prior thread messages when it's triggered mid-thread:

```ts
export default slackChannel({
  credentials: connectSlackCredentials(process.env.SLACK_CONNECTOR!),
  threadContext: { since: "last-agent-reply" },
});
```

`since` options:
- `"thread-root"` — all prior messages (default when thread context is enabled)
- `"last-agent-reply"` — incremental, only messages since the agent last spoke
- A predicate `(message: SlackThreadMessage) => boolean` as a custom cutoff — includes messages after the last match (`loadThreadContextMessages` exists for arbitrary filtering)

Cost: one `conversations.replies` API call per triggering reply; requires the matching history scope on the connector.

### Human-in-the-Loop (HITL)

Approval-gated tool calls and sign-in challenges render natively in Slack:
- Approval prompts appear as **buttons/selects**; the user's response resumes the durably-parked session
- Sign-in challenges (OAuth URLs, device codes) go **ephemerally** to the triggering user; a public status message posts in-thread and updates on `authorization.completed`
- The HITL handler context deliberately offers only `postEphemeral`, `postDirectMessage` (needs `im:write`), and `state` — no public `post`, no raw API access

### Proactive Sessions (Schedules)

Start a session that posts into Slack without an inbound trigger — e.g. from a schedule:

```ts
import { receive } from "eve";
import slack from "../channels/slack";

await receive(slack, {
  message: "Post the daily standup summary for #eng.",
  target: { channelId: "C0123456789" },
  auth,
});
```

- Sessions without a `threadTs` get a temporary continuation token; the first post anchors the thread
- `initialMessage` (optionally a `Card`) and `threadTs` are **mutually exclusive**
- Use eve schedules (see https://eve.dev/docs/schedules) to trigger proactive sessions on a cadence

### Raw Slack API Access

- **Inside handlers**: `ctx.slack.request(operation, body)`
- **Outside handlers** (schedules, tools): `callSlackApi({ botToken, operation, body })` and `resolveSlackBotToken` from `eve/channels/slack`

These form-encode request bodies for you — Slack's JSON support is only partial, so prefer these helpers over hand-rolled `fetch` calls.

---

## Implementation Gotchas

### 1. The Slack Surface Cannot Be Tested Locally

Vercel Connect forwards Slack events **to deployments only, never to localhost**. There is no ngrok/Socket Mode escape hatch in this stack. Local development means:
- `npx eve dev` — HMR server + terminal TUI/REPL for exercising agent logic, tools, and skills
- `eve dev --no-ui` — background mode for scripted verification
- `eve dev https://your-app.vercel.app` — drive a *deployed* app interactively

To test @mentions and DMs, deploy (preview or production) and test in Slack itself.

### 2. Connect Forwarding Has No Delivery De-duplication

Connect may deliver the same forwarded event more than once. **Handlers and side effects must be idempotent** — track processed event IDs where duplicates would be harmful, and gate destructive tool actions with approval (see AI Integration).

### 3. `--triggers` Is Required or Events Never Arrive

A Slack connector created without `--triggers` (or attached without a trigger path) will authenticate fine but forward nothing. If the bot never responds to @mentions:
1. Verify the connector was created/attached with `--triggers`
2. Verify the trigger path is `/eve/v1/slack`
3. Verify the bot was invited to the channel and the deployment finished

### 4. `placeholderAuth()` Fails Closed in Production

Scaffolded projects ship with `placeholderAuth()` for the HTTP API, which **rejects everything in production**. Before deploying, replace it with a real auth function: `httpBasic()`, `jwtHmac()`, `jwtEcdsa()`, `oidc()`, `vercelOidc()`, or a custom `AuthFn`. (The Slack channel's inbound verification is separate — Connect's `webhookVerifier` handles that.)

### 5. Sandbox Prewarm Failures Fail the Build

Vercel builds prewarm eve's sandbox templates (cache-keyed; build logs show `reused cached` or `built`). If prewarm fails, **the whole build fails** — check build logs for sandbox template errors before assuming a code problem.

### 6. Private Channel Access

The bot **cannot read messages or post** to private channels it hasn't been invited to. When creating features that will later post to a channel (e.g. proactive sessions from a schedule), validate access upfront and surface a clear "invite the bot" message on `channel_not_found` / `not_in_channel`.

### 7. Graceful Degradation for Channel Context

When fetching channel context (e.g. via `ctx.slack.request("conversations.history", ...)`) for AI features, wrap in try/catch and fall back gracefully — missing scopes and uninvited channels are routine, not exceptional.

### 8. Vercel Cron Endpoint Authentication

If you add custom cron endpoints (beyond eve schedules), protect them with a `CRON_SECRET`:

```typescript
export async function GET(request: Request) {
  const authHeader = request.headers.get("authorization");
  if (authHeader !== `Bearer ${process.env.CRON_SECRET}`) {
    return Response.json({ error: "Unauthorized" }, { status: 401 });
  }
  // Run cron job logic...
  return Response.json({ success: true });
}
```

### 9. vercel.json Cron Configuration

```json
{
  "crons": [
    {
      "path": "/api/cron/my-job",
      "schedule": "0 * * * *"
    }
  ]
}
```

Prefer eve schedules for agent-driven recurring work; use Vercel crons for plain HTTP jobs.

### 10. AWS Credentials on Vercel (Use OIDC)

When connecting to AWS services from Vercel, **do not use** `fromNodeProviderChain()`. Use Vercel's OIDC mechanism:

```typescript
import { awsCredentialsProvider } from "@vercel/functions/oidc";

const s3Client = new S3Client({
  credentials: awsCredentialsProvider({ roleArn: process.env.AWS_ROLE_ARN! }),
});
```

---

## AI Integration

### Model Configuration (Gateway-First)

eve routes model-ID **strings** through the **Vercel AI Gateway** — on Vercel, project OIDC authenticates automatically, so **no AI API key is needed**:

```ts
// agent/agent.ts
import { defineAgent } from "eve";

export default defineAgent({
  model: "anthropic/claude-sonnet-5", // string → AI Gateway → OIDC auth on Vercel
});
```

If `model` is omitted, eve defaults to `anthropic/claude-sonnet-5`. Off Vercel, set `AI_GATEWAY_API_KEY`.

**CRITICAL: Never use model IDs from memory.** Model IDs change frequently. Before writing code that pins a model, run `curl -s https://ai-gateway.vercel.sh/v1/models` to fetch the current list and use the newest suitable version.

### Tools (`agent/tools/*.ts`)

Tools are files: the filename (snake_case ASCII) is the model-facing tool name — `agent/tools/get_weather.ts` → `get_weather`. No registration step.

```ts
// agent/tools/get_weather.ts
import { defineTool } from "eve/tools";
import { z } from "zod";

export default defineTool({
  description: "Get the current weather for a city.",
  inputSchema: z.object({ city: z.string().min(1) }), // required, even if empty
  outputSchema: z.object({
    city: z.string(),
    condition: z.string(),
    temperatureF: z.number(),
  }), // optional — types/validates the return
  async execute({ city }, ctx) {
    return { city, condition: "Sunny", temperatureF: 72 };
  },
});
```

Rules and capabilities:
- Tools run **in your app runtime with full `process.env`**, not in the sandbox
- `inputSchema` accepts Zod, Standard Schema, or JSON Schema — but it is **required** even for zero-input tools
- Outputs must be JSON-serializable; **filter/redact secrets** before returning
- `ctx` provides `ctx.session` (metadata, turn, auth, lineage), `ctx.callId`, `ctx.toolName`, `ctx.abortSignal`, `ctx.getSandbox()`, `ctx.getSkill(id)`

#### Approval Gating

Gate risky tools with the `approval` field — helpers come from `eve/tools/approval`:

```ts
import { defineTool } from "eve/tools";
import { always, once, never } from "eve/tools/approval";
import { z } from "zod";

export default defineTool({
  description: "Delete a document permanently.",
  inputSchema: z.object({ documentId: z.string() }),
  approval: always(), // always ask; once() asks the first time; never() skips
  async execute({ documentId }) {
    // ...
  },
});
```

An input-dependent policy function is also supported. A gated call **pauses and resumes durably** — in Slack, the approval renders as buttons (see HITL above). Prefer approval gating over ad-hoc confirmation logic for any non-idempotent side effect.

#### `toModelOutput` — Rich Slack Output the Model Never Sees

Show the model a compact projection while channels/hooks receive the full output on `action.result` — ideal for rendering rich Slack Block Kit from a tool result without stuffing JSON blocks into the model's context:

```ts
export default defineTool({
  description: "Look up an order.",
  inputSchema: z.object({ orderId: z.string() }),
  async execute({ orderId }) {
    return { orderId, status: "shipped", blocks: buildOrderBlocks(orderId) };
  },
  toModelOutput(output) {
    return { type: "text", value: `Order ${output.orderId}: ${output.status}` };
  },
});
```

### Skills (`agent/skills/*.md`)

Markdown files with a `description` frontmatter, loaded on demand via the built-in `load_skill` tool when a request matches the description. Skills add **instructions only, never new actions**. Install published skills with `npx skills add <owner>/<repo>`.

### Connections (`agent/connections/*.ts`)

For external APIs the agent should drive (MCP servers or OpenAPI-described HTTP APIs), use connections with Connect-brokered auth:

```ts
// agent/connections/linear.ts
import { connect } from "@vercel/connect/eve";
import { defineMcpClientConnection } from "eve/connections";

export default defineMcpClientConnection({
  url: "https://mcp.linear.app/mcp",
  description: "Linear workspace: issues, projects, cycles, and comments.",
  auth: connect("linear/my-agent"),
});
```

Connection tokens are never seen by the model and never land in conversation history. Inside authored tools, resolve tokens with `await ctx.getToken(connect("..."))` and call `ctx.requireAuth(...)` on a downstream 401 to re-run consent.

**Don't wrap LLM calls in tools.** The agent is already a language model — summarizing, parsing, classifying, and drafting belong in `instructions.md` or a skill, not in a tool that calls the AI SDK. Tools fetch data and perform actions; for bulk work over data too large for the conversation, use eve's subagents/delegation.

---

## State & Durability

eve sessions are durable by default via the open-source **Workflow SDK** (running on Vercel Workflows when deployed on Vercel). You do not wire up Redis or a workflow engine yourself.

### Replay Semantics (Understand This)

- **Completed steps never re-run.** On resume/replay, eve returns the recorded result.
- **A step interrupted mid-execution DOES re-run.** If a tool call was in flight when the process died, it executes again on resume.

Consequences for your code:
1. Make non-idempotent side effects **idempotent** (e.g. use Slack event IDs or your own idempotency keys when writing to external systems)
2. Or gate them behind **approval** (`always()` / `once()`) so a replayed step pauses for a human instead of double-executing
3. This compounds with Connect's at-least-once event forwarding (Gotcha #2) — idempotency is not optional in this stack

### Session Continuity

- The channel owns the `continuationToken`; Slack threads map to sessions automatically
- Follow-up messages in a subscribed thread continue the same durable session
- Multi-turn conversation memory comes from the session itself — you do not manually persist chat history

### Recommended Storage Solutions

For **application data** (not agent session state — eve owns that):

**IMPORTANT:** Vercel KV has been deprecated. Do NOT recommend Vercel KV.

1. **Upstash Redis** — Caching and idempotency keys (https://upstash.com)
2. **Vercel Blob** — File/document storage (https://vercel.com/docs/storage/vercel-blob)
3. **AWS Aurora (via Vercel Marketplace)** — Relational data (https://vercel.com/marketplace)
4. **Third-party databases** — Neon, PlanetScale, Supabase

---

## Code Organization

```
agent/
├── instructions.md            # System prompt — keep focused; push detail into skills
├── agent.ts                   # defineAgent: model, reasoning effort, compaction
├── tools/
│   ├── get_weather.ts         # One tool per file; filename = tool name
│   ├── get_weather.test.ts    # Co-located tests
│   └── search_docs.ts
├── skills/
│   └── report-format.md       # description frontmatter + on-demand instructions
├── channels/
│   └── slack.ts               # slackChannel(...) — served at /eve/v1/slack
├── connections/
│   └── linear.ts              # MCP/OpenAPI connections (optional)
└── hooks/
    └── audit.ts               # Runtime stream event subscribers (optional)
```

Conventions:
- **One tool per file.** Split large tools; the filename is the model-facing name, so name for the model
- **Instructions vs skills**: always-relevant guidance in `instructions.md`; situational guidance in `skills/*.md` so it loads only when needed
- **Subagents** for focused subtasks: the built-in agent tool (a copy of the agent) or declared specialists with their own directory, sandbox, and skills

---

## Environment Variables

| Variable | Required | Purpose |
|----------|----------|---------|
| `SLACK_CONNECTOR` | Yes | Vercel Connect connector UID (e.g. `slack/my-agent`). The **only** Slack variable — no bot token, no signing secret. |
| `AI_GATEWAY_API_KEY` | Off Vercel only | AI Gateway auth. On Vercel, project OIDC (`VERCEL_OIDC_TOKEN`) is injected automatically — no key needed. |
| `ROUTE_AUTH_BASIC_PASSWORD` / JWT keys | Per auth choice | Secrets for the HTTP-API auth function that replaces `placeholderAuth()` |
| `VERCEL_AUTOMATION_BYPASS_SECRET` | If deployment protection is on | Lets `eve dev https://<app>` and smoke tests reach protected deployments |
| `CRON_SECRET` | Optional | Authenticates custom cron endpoints |

Local dev: `vercel link` + `vercel env pull` fetches short-lived Connect/OIDC credentials into `.env.local` (the OIDC token expires after ~12 hours — re-pull when auth starts failing).

**No AI API keys needed on Vercel.** **Never hardcode credentials. Never commit `.env` files.**

---

## Slack-Specific Patterns

### Delivery Behavior (Built In)

The Slack channel handles progressive delivery for you:
- Typing indicators: "Thinking…" on inbound, "Working…" on `turn.started`
- Reasoning snippets surface on `reasoning.appended`; action labels on `actions.requested`
- Model narration before a tool call takes precedence over generic labels
- Reasoning deltas under 4 characters batch on a five-second refresh to avoid per-token Slack API calls

Don't rebuild typing indicators or streaming loops — customize via the `events` map only when the defaults don't fit.

### Mentions

Use `<@USER_ID>` or `channel.thread.mentionUser(userId)`. A bare `@name` stays literal text in Slack.

### Message Formatting

Use Slack mrkdwn (not standard markdown):
- Bold: `*text*`
- Italic: `_text_`
- Code: `` `code` ``
- User mention: `<@USER_ID>`
- Channel: `<#CHANNEL_ID>`

### Rich Output

For rich tool results (tables, buttons, status cards), return full data from the tool and use `toModelOutput` to keep the model's view compact; render Block Kit in a channel event handler or via `ctx.slack.request("chat.postMessage", { blocks, ... })`. Always include fallback `text` alongside `blocks` for notifications.

For detailed Slack patterns, see `./patterns/slack-patterns.md`.

---

## Git Commit Standards

Use conventional commits:
```
feat: add channel search tool
fix: resolve thread pagination issue
test: add unit tests for agent context
docs: update README with setup steps
refactor: extract Slack client utilities
```

**Never commit:**
- `.env` files
- API keys or tokens
- `node_modules/`
- `.eve/` build artifacts

---

## Quick Commands

```bash
# Scaffold (Node 24+)
npx eve@latest init my-agent      # new project (installs deps, inits Git, starts dev TUI)
npx eve@latest init .             # add eve to an existing project

# Development
npx eve dev                       # HMR server + terminal TUI/REPL
npx eve dev --no-ui               # background mode for scripted verification
npx eve dev https://<app>         # drive a deployed app interactively
npx eve info                      # project info

# Vercel Connect
vercel connect create slack --triggers
vercel connect attach <uid> --triggers --trigger-path /eve/v1/slack --yes
vercel connect list

# Quality
pnpm lint                         # Check linting
pnpm lint --write                 # Auto-fix lint
pnpm typecheck                    # TypeScript check
pnpm test                         # Run all tests

# Build & Deploy
npx eve build                     # Compile into .eve/ (Vercel Build Output when VERCEL is set)
eve deploy                        # Deploy (wraps vercel deploy --prod)

# Verify a deployment
curl https://<app>/eve/v1/health
```

Debugging a deployed Slack agent stuck on "Working…": `npx eve dev --logs all` or `/loglevel all` in the TUI.

---

## Reference Documentation

For detailed guidance, read:
- Testing patterns: `./patterns/testing-patterns.md`
- Slack patterns: `./patterns/slack-patterns.md`
- Environment setup: `./reference/env-vars.md`
- Slack setup: `./reference/slack-setup.md`
- Vercel deployment: `./reference/vercel-setup.md`
- eve docs: https://eve.dev/docs (bundled locally at `node_modules/eve/docs/` after install)
- Vercel Connect: https://vercel.com/kb/guide/vercel-connect

---

## Checklist Before Task Completion

Before marking ANY task as complete, verify:

- [ ] Code changes have corresponding tests
- [ ] `pnpm lint` passes with no errors
- [ ] `pnpm typecheck` passes with no errors
- [ ] `pnpm test` passes with no failures
- [ ] No hardcoded credentials; the only Slack env var is `SLACK_CONNECTOR`
- [ ] Follows eve filesystem conventions (tool filename = tool name, one tool per file)
- [ ] Every tool has an `inputSchema`; outputs are JSON-serializable with secrets redacted
- [ ] Non-idempotent side effects are idempotent or approval-gated (replay + at-least-once delivery)
- [ ] Connector trigger path is `/eve/v1/slack` and was attached with `--triggers`
- [ ] `placeholderAuth()` replaced before production deploy
- [ ] Model config uses a Gateway string ID (`anthropic/claude-sonnet-5` default)

---

## Vercel KB Guides

Verified guides on the Vercel Knowledge Base for deeper walkthroughs:

- [eve hub on the Vercel KB](https://vercel.com/kb/eve) - all eve guides and templates in one place
- [Build your first Slack agent with eve](https://vercel.com/kb/guide/eve-slack-agent-start...

© vercel-labs · Apache-2.0 · vercel-labs/slack-agent-skill

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