SkillAtlasSkill 详情

apify-webhooks-events

A model-agnostic agent-skills platform.

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项目 README

来源文件:README.md

抓取于 2026年8月27日

Tons of Skills

A model-agnostic agent-skills platform. The canonical layer is harness-free by construction; Claude Code is currently the verified-native harness. Other harnesses remain engineering candidates until their native-path integration is verified; source research alone is never presented as public support.

Release CLI Plugins Skills GitHub Stars skills.sh Sponsor: Kobiton Buy me a monster

ko-fi

Version semantics: the release badge is this marketplace's display version. npm packages, including the ccpi CLI and publishable plugins, retain their own package versions; they are intentionally not expected to equal the display version. The version-surface checker governs the display surfaces without rewriting package semver.

Install

Inside Claude Code, one command installs the whole marketplace:

/plugin marketplace add jeremylongshore/claude-code-plugins

Or use the CLI:

pnpm add -g @intentsolutionsio/ccpi
ccpi install devops-automation-pack

Browse the marketplace · Explore plugins · Download bundles

Killer Skill of the Week — no-ai-slop by Peter Yang

Strip AI slop from any draft — named-pattern edits that keep the writer's real voice

no-ai-slop does two jobs and refuses to fake a third. In Edit mode it makes the minimum effective edit — cutting throat-clearing, weak verbs, and abstract nouns while deliberately preserving the writer's cadence, bluntness, humor, and honest admissions, so a rough draft still sounds like the same person afterward. In Detect mode it names each AI-slop pattern it finds, quotes the offending line, and gives the fix in a few words — and pointedly does NOT score the draft or guess whether an AI wrote it. That restraint is the whole point: AI detectors guess; named patterns are evidence the reader can check. MIT-licensed, single focused skill, actively maintained by Peter Yang.

"AI detectors guess. Named patterns are evidence the user can check." — Peter Yang

Grade: A | Week of July 22, 2026 (W30) | View on GitHub

Previous picks: tonone, mnemos, databricks-pack, kobiton-automate, skyvern, code-cleanup, web-analytics, token-optimizer, executive-assistant-skills, skill-creator, cursor-pack, crypto-portfolio-tracker. See all at tonsofskills.com.

Scale, labeled

Every number below names the cohort it counts and the command that reproduces it — an unlabeled count is how a corpus ends up with five contradictory answers to "how many skills."

CountCohortReproduce with
442catalog plugins (catalog-entry cohort)node scripts/generate-readme-toc.mjs over marketplace.extended.json
3,067marketplace-visible skills (distinct)node -e "import('./scripts/corpus-resolver.mjs').then(m=>console.log(m.resolveCorpus('marketplace-visible').length))"
347agent definitions in pluginsgit ls-files 'plugins/**' | grep '/agents/.*\.md'
19plugin categoriesls -d plugins/*/

📦 Live npm Downloads

Across 396 published packages in the claude-code-plugins namespace. Updated daily by GitHub Actions.

WindowAll packagesEstablished (>30d)
Last 24 hours962962
Last 7 days2,9202,916
Last 30 days12,86812,779

"Established" excludes packages first published within the last 30 days, so a bulk-publish event doesn't dominate the headline.

Top 10 by last 30 days:

#PackageLast 30d
1@intentsolutionsio/openrouter-pack556
2@intentsolutionsio/groq-pack496
3@intentsolutionsio/databricks-pack274
4@intentsolutionsio/clickhouse-pack273
5@intentsolutionsio/wallet-security-auditor263
6@intentsolutionsio/notion-pack258
7@intentsolutionsio/elevenlabs-pack244
8@intentsolutionsio/freshie-inventory-manager214
9@intentsolutionsio/supabase-pack210
10@intentsolutionsio/agency-os204

Last refreshed 2026-08-19T03:03:05.709Z.

Ways in

Five real questions, five doors — each resolves to a live, generated surface, never a hand-maintained list:

Browse by category

The 19 categories below link into the live marketplace. Plugin counts are the catalog-entry cohort — regenerated from marketplace.extended.json by this generator; the catalog itself lives on tonsofskills.com, never in this file (§ 6A of the platform blueprint).

CategoryPlugins
🤖AI & Machine Learning36
🎭AI Agents & Agency10
🔌API Development26
💼Business Tools6
👥Community21
₿Crypto & Web327
💾Database26
🎨Design2
🔧DevOps & Infrastructure36
📚Examples & Templates5
🧩MCP Servers16
📦Packages5
⚡Performance25
✅Productivity30
🎁SaaS Skill Packs106
🔐Security27
✨Skill Enhancers9
🧪Testing28
📁Analytics1

What the classes mean

Four artifact classes live in this repository, distinguished on sight and never blurred — provenance is a truth requirement here, not a UX nicety:

ClassWhat it isHow the reader can tell
Canonical skillFirst-party, harness-free, the source of truthNo .source.json in its plugin directory
Generated adapterA thin, machine-produced harness projectionLives under a generated path with a "generated — do not edit" header
First-party packageAn Intent Solutions distribution (npm, cowork zip)@intentsolutionsio scope, IS-authored license
Upstream mirrorSomebody else's work, hosted mirror-by-default.source.json present — upstream author, license, and pinned commit recorded

Certification

Not yet certified. The certification program (tiers T0–T4 with retained, hash-matched evidence) is a later epic of the platform blueprint; until its report exists, no artifact on this surface claims a tier. This line is rendered from the absence of certification-report.json — honestly, not cosmetically.

Contribute

Start with the contribution guide, then the intake and review standards every submission passes through:

Governance

Provenance

External plugins are hosted mirror-by-default: the contributor's repository stays the source of truth, every mirrored source is pinned in a content lockfile, and upstream credit — author, license, resolved commit — is recorded in the mirror itself. Improvements flow by upstreaming to the author's repository, never by silently editing the mirror. The full decision record is the external-sync model.

License

MIT for the repository scaffolding and first-party tooling; each plugin carries its own license in its manifest, and mirrored plugins keep their upstream license verbatim.

其他

中风险

  • 来源需自行核对维护者身份。
  • 包含脚本或命令调用,安装前请复核。
  • 可能需要外部 token、网络权限或第三方服务。
  • 未检测到高风险命令。
  • 扫描发现:3 条。

Codex — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/jeremylongshore/tons-of-skills-marketplace.git
  3. 将 "skills/.curated/apify-webhooks-events" 文件夹复制到 Codex 的 skills 目录中。
  4. 重启 Codex 让新的 skill 生效。

Codex — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Codex 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Codex 让新的 skill 生效。

Claude Code — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/jeremylongshore/tons-of-skills-marketplace.git
  3. 将 "skills/.curated/apify-webhooks-events" 文件夹复制到 Claude Code 的 skills 目录中。
  4. 重启 Claude Code 让新的 skill 生效。

Claude Code — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Claude Code 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Claude Code 让新的 skill 生效。

Cursor — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/jeremylongshore/tons-of-skills-marketplace.git
  3. 将 "skills/.curated/apify-webhooks-events" 文件夹复制到 Cursor 的 skills 目录中。
  4. 重启 Cursor 让新的 skill 生效。

Cursor — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Cursor 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Cursor 让新的 skill 生效。

GitHub Copilot — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/jeremylongshore/tons-of-skills-marketplace.git
  3. 将 "skills/.curated/apify-webhooks-events" 文件夹复制到 GitHub Copilot 的 skills 目录中。
  4. 重启 GitHub Copilot 让新的 skill 生效。

GitHub Copilot — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 GitHub Copilot 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 GitHub Copilot 让新的 skill 生效。

Windsurf — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/jeremylongshore/tons-of-skills-marketplace.git
  3. 将 "skills/.curated/apify-webhooks-events" 文件夹复制到 Windsurf 的 skills 目录中。
  4. 重启 Windsurf 让新的 skill 生效。

Windsurf — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Windsurf 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Windsurf 让新的 skill 生效。
查看 SKILL.md 原文
name: apify-webhooks-events
description: 'Implement Apify webhooks for Actor run notifications and event-driven
  pipelines.

  Use when setting up run completion alerts, building event-driven scraping pipelines,

  or configuring ad-hoc webhooks for individual runs.

  Trigger with "apify webhook", "apify events", "actor run notification",

  "apify run succeeded webhook", "apify ad-hoc webhook".

  '
allowed-tools: Read, Write, Edit, Bash(curl:*)
version: 1.5.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
tags:
- saas
- scraping
- automation
- apify
compatibility: Designed for Claude Code

Apify Webhooks & Events

Overview

Configure webhooks to receive notifications when Actor runs complete, fail, or time out. Apify supports both persistent webhooks (for all runs of an Actor) and ad-hoc webhooks (for a single run). Event-driven architecture is the recommended pattern for production Apify integrations.

Prerequisites

  • npm install apify-client in your project (and express if you build an HTTP handler)
  • An API token in APIFY_TOKEN — read it from the environment (process.env.APIFY_TOKEN) or pass Authorization: Bearer $APIFY_TOKEN on REST calls, never hard-code it
  • A public HTTPS endpoint for Apify to POST to (use ngrok while developing)
  • Familiarity with apify-sdk-patterns

Event Types

EventFired When
ACTOR.RUN.CREATEDA new Actor run starts
ACTOR.RUN.SUCCEEDEDRun finishes with SUCCEEDED status
ACTOR.RUN.FAILEDRun finishes with FAILED status
ACTOR.RUN.ABORTEDRun is manually or programmatically aborted
ACTOR.RUN.TIMED_OUTRun exceeds its timeout
ACTOR.RUN.RESURRECTEDA finished run is resurrected

Instructions

Step 1: Create a Persistent Webhook

Persistent webhooks fire for every run of an Actor. Set condition.actorId, list the eventTypes you care about, and shape the delivered body with payloadTemplate:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });

const webhook = await client.webhooks().create({
  eventTypes: ['ACTOR.RUN.SUCCEEDED', 'ACTOR.RUN.FAILED', 'ACTOR.RUN.TIMED_OUT'],
  condition: { actorId: 'YOUR_ACTOR_ID' },
  requestUrl: 'https://your-app.com/api/webhooks/apify',
  payloadTemplate: JSON.stringify({
    eventType: '{{eventType}}',
    actorRunId: '{{actorRunId}}',
    defaultDatasetId: '{{resource.defaultDatasetId}}',
    status: '{{resource.status}}',
    statusMessage: '{{resource.statusMessage}}',
  }),
  isAdHoc: false,
});

console.log(`Webhook created: ${webhook.id}`);

The full payload template (all run fields) and the complete variable table are in payload templates & local testing.

Step 2: Use Ad-Hoc Webhooks for Single Runs

Ad-hoc webhooks are created at run time and fire only for that specific run — pass a webhooks array when starting the Actor:

const run = await client.actor('username/my-actor').start(
  { startUrls: [{ url: 'https://example.com' }] },
  {
    webhooks: [{
      eventTypes: ['ACTOR.RUN.SUCCEEDED', 'ACTOR.RUN.FAILED'],
      requestUrl: 'https://your-app.com/api/webhooks/apify',
    }],
  },
);

The equivalent REST/curl form is in payload templates & local testing.

Step 3: Handle the Webhook

Your endpoint must return a 2xx within 30 seconds, so acknowledge immediately and process asynchronously. On SUCCEEDED, fetch the dataset via defaultDatasetId; on FAILED/TIMED_OUT, pull the run log and alert:

app.post('/api/webhooks/apify', async (req, res) => {
  res.status(200).json({ received: true }); // ack first
  try {
    await processWebhook(req.body); // switch on eventType, fetch dataset, alert
  } catch (error) {
    console.error('Webhook processing failed:', error);
  }
});

The full processWebhook switch (dataset fetch, log tail, oncall alerting) is in full implementation.

Step 4: Make Processing Idempotent, Chain Pipelines, and Manage Webhooks

Apify may deliver a webhook more than once, so dedupe on ${actorRunId}:${eventType} before doing work. You can also chain Actors (Stage 1 SUCCEEDED → start Stage 2) and manage the webhook lifecycle (list, update, delete, inspect dispatches). All three patterns — idempotent processing, event-driven pipeline, and lifecycle management — are in full implementation.

Output

  • A created webhook returns its id (persistent webhooks are visible under client.webhooks().list(); ad-hoc webhooks are scoped to one run)
  • On each matching event, Apify POSTs the rendered payloadTemplate JSON to your requestUrl
  • client.webhook(id).dispatches().list() returns the delivery history — each entry carries a status, createdAt, and the endpoint's responseStatus so you can confirm delivery or diagnose retries

Examples

  • Persistent + ad-hoc webhook creation — Steps 1 and 2 above
  • Full handler, idempotency, pipeline chaining, lifecycle management — full implementation
  • Payload template variables, REST/curl creation, and local testing with ngrok — payload templates & local testing

Error Handling

IssueCauseSolution
Webhook not deliveredURL unreachableVerify HTTPS, check firewall
Duplicate processingWebhook retry on non-2xxImplement idempotency
Slow processingHandler takes >30sRespond 200 immediately, process async
Missing data in payloadWrong template varsCheck template variable spelling
Webhook disabledToo many failuresRe-enable in Console or via API

Resources

Next Steps

For performance optimization, see apify-performance-tuning.

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