slackbot-builder

Agent Building

Build production Slack bots as a maturity ladder (L0–L6): signature verification, fast acks + event idempotency, threads-as-sessions, responsive feedback (reactions, status, live streaming), Block Kit interactions + human-in-the-loop approvals, the native Agents & AI Apps surface, file/media outputs + settings modals, durable long-running work, rate-limit + security hardening, model-call tracing, and multi-surface/multi-tenant scale. Use when building or hardening any Slack app, bot, agent-in-Slack workflow, or Slack Events API / Block Kit / slash-command integration.

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How to use this skill

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Source SKILL.md: https://github.com/swyxio/skills/blob/HEAD/slackbot-builder/SKILL.md

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Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

Slackbot Builder

Use this skill when creating or hardening Slack apps, Slack bots, agent-in-Slack workflows, or production Slack integrations.

This skill is organized as a maturity ladder (L0 → L6). Find the level you're targeting, build everything at and below it, then graduate. Each level has a full reference file with prose, code, and anti-patterns — read the file for the level you're working on; don't load all of them at once.

Patterns distill source-level lessons from AppSumo OpenInspect's Slack bot at packages/slack-bot/src (inspected at commit bd76f8d) plus a production aiebot scheduling assistant (web + Slack sharing one core). Treat both as pragmatic references, not dependencies.

The one rule that survives every level

Slack is a thin adapter; all intelligence lives in a channel-agnostic core. The Slack layer only verifies signatures, calls the Slack Web API, renders Block Kit, and delegates to a single core entrypoint (e.g. runBotQuery(input, {emit})). The same core serves web, cron, and future bots. If your Slack handler contains business logic, that's the bug.

The ladder

Level	Theme	What you add	Reference
L0	Skeleton — it responds	`/health`, `/events`, signature verify, `url_verification`, fast `200`	level-0-skeleton.md
L1	Responsive Q&A (MVP) — a working bot	3s ack + async work, `event_id` dedupe, ignore bots, strip mentions, threaded `chat.postMessage`, thin `fetch` wrappers, JSON logs + trace id	level-1-mvp.md
L2	Context-aware — feels conversational	threads-as-sessions + TTL store, bounded thread/channel context, DMs, empty-mention nudge, 👀 reaction + `assistant.threads.setStatus`	level-2-context.md
L3	Interactive / agentic — acts, human in the loop	`/interactions` (signed), Block Kit approvals that resolve in place, dry-run validation, slash commands, routing/clarification ladder, rich/actionable drafts (evidence + artifacts, bulk + edit-before-apply, deep links), file/media uploads with in-message control buttons + a `views.open` settings modal (per-thread), live status streaming, monitored-thread "should I reply?"	level-3-interactive.md
L4	Native agent surface — first-class agent UX	Agents & AI Apps container, `assistant_thread_started` greeting + suggested prompts, thread titles, native text streaming (`chat.startStream`/`appendStream`/`stopStream`) mapping your `emit` stream to a typed answer + tool-call timeline, graceful fallback to the message flow	level-4-native-agent.md
L5	Hardened — won't page you at 2am	long-running signed callbacks + durable URL, App Home prefs/dashboard (allowlisted), rate-limit backoff + `ok:false` handling, sanitized user-facing errors, storage TTL table, service-user attribution + audit, full observability, security/testing checklists, scope degradation, manifest setup	level-5-hardened.md
L6	Multi-surface / scale — polished platform	one core across web/Slack/cron, multi-workspace/tenancy, queues + backpressure for heavy work, target caching, usage analytics + answer-quality feedback, break-glass/degraded config	level-6-scale.md

Optional capability references (load only if you ship the feature — they're not always-on rungs): image generation → image-generation.md (durable renders, model-param gating, iterate buttons).

Strong opinions

Universal invariants — true at every level (the level-specific opinions live in their level files so they load only when you're there):

Prefer the Events API over Socket Mode for production web services unless inbound HTTP is impossible.
Verify every request from the raw body before parsing. No exceptions, including the url_verification handshake.
Return fast. Authenticate, dedupe, background the work, log, and 200 within Slack's 3-second window.
Never run agent work inline. Every serverless handler has a silent timeout ceiling (~30s on Cloudflare waitUntil) that cancels slow work with no error — the bot just goes quiet. Ack instantly, run agent loops / renders / audit turns in durable execution, and guarantee a final result-or-error. Fix the execution model on one surface, then audit every entry point (mention, DM, slash, button, cron) that calls the same core. → L5
Threads are the session boundary. Key state by channel + thread_ts.
Never answer yourself. Drop bot_id / bot_message and message subtypes before expensive work.
Real shared store for state (idempotency, sessions, pending clarifications, prefs). In-memory maps are dev-only.
Slack is a status surface, not the product. Link to a durable web/session URL for long output, logs, PRs, artifacts.
Keep Block Kit terse; canonical state lives in your backend.
Every enriching call is best-effort — a failed reaction, status update, or context fetch must never abort the real answer.
Don't degrade silently. Log every non-default path (canned/deterministic answer, model skipped, provider fallback) — a bot that silently returns the same answer to every prompt is the worst kind of bug to debug.
Flat JSON logs with trace ids everywhere. Slack bots are otherwise painful to debug.

Level-specific opinions (full rationale + war stories in the linked file): mutations require a human, inline flags configure the core, route on the raw request not the context, interactive actions ack the click instantly + batch ops show incremental progress, artifacts get iterate-button + settings-modal affordances → L3; instrument every model call (not just text), slow work runs in durable execution not a background promise, every entry surface protected equally, every job ends in a guaranteed result-or-error delivered by the right surface mechanism → L5; image-gen specifics → image-generation.md.

How to use this skill

Identify your target level from the table.
Open the reference file for that level (and skim the one below it).
Build the checklist for each level bottom-up; don't skip L0/L1 hardening to chase L3 features.
Use the "Graduate when…" gate at the end of each file before moving up.

Implementation bias: start boring

TypeScript; a small HTTP framework (Hono, Fastify, Express, or native route handlers); shared KV/Redis/Postgres for state; raw Slack Web API fetch wrappers unless an SDK is already established; a queue or platform-native background execution for work over 1–2s; a web page for long output. Add slash commands, modals, Socket Mode, or workflow steps only when the product need is clear.