复制安装命令
用 Codex 或 Claude 安装复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它先审查 Skill 页面再帮你安装。
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A model-agnostic agent-skills platform.
用 Codex 或 Claude 安装复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它先审查 Skill 页面再帮你安装。
复制前请先查看来源、License 和安全提示。
来源文件:README.md
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.
Version semantics: the release badge is this marketplace's display version. npm packages, including the
ccpiCLI 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.
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.
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."
| Count | Cohort | Reproduce with |
|---|---|---|
| 442 | catalog plugins (catalog-entry cohort) | node scripts/generate-readme-toc.mjs over marketplace.extended.json |
| 3,067 | marketplace-visible skills (distinct) | node -e "import('./scripts/corpus-resolver.mjs').then(m=>console.log(m.resolveCorpus('marketplace-visible').length))" |
| 347 | agent definitions in plugins | git ls-files 'plugins/**' | grep '/agents/.*\.md' |
| 19 | plugin categories | ls -d plugins/*/ |
Across 396 published packages in the claude-code-plugins namespace. Updated daily by GitHub Actions.
| Window | All packages | Established (>30d) |
|---|---|---|
| Last 24 hours | 962 | 962 |
| Last 7 days | 2,920 | 2,916 |
| Last 30 days | 12,868 | 12,779 |
"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:
Last refreshed 2026-08-19T03:03:05.709Z.
Five real questions, five doors — each resolves to a live, generated surface, never a hand-maintained list:
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).
| Category | Plugins | |
|---|---|---|
| 🤖 | AI & Machine Learning | 36 |
| 🎭 | AI Agents & Agency | 10 |
| 🔌 | API Development | 26 |
| 💼 | Business Tools | 6 |
| 👥 | Community | 21 |
| ₿ | Crypto & Web3 | 27 |
| 💾 | Database | 26 |
| 🎨 | Design | 2 |
| 🔧 | DevOps & Infrastructure | 36 |
| 📚 | Examples & Templates | 5 |
| 🧩 | MCP Servers | 16 |
| 📦 | Packages | 5 |
| ⚡ | Performance | 25 |
| ✅ | Productivity | 30 |
| 🎁 | SaaS Skill Packs | 106 |
| 🔐 | Security | 27 |
| ✨ | Skill Enhancers | 9 |
| 🧪 | Testing | 28 |
| 📁 | Analytics | 1 |
Four artifact classes live in this repository, distinguished on sight and never blurred — provenance is a truth requirement here, not a UX nicety:
| Class | What it is | How the reader can tell |
|---|---|---|
| Canonical skill | First-party, harness-free, the source of truth | No .source.json in its plugin directory |
| Generated adapter | A thin, machine-produced harness projection | Lives under a generated path with a "generated — do not edit" header |
| First-party package | An Intent Solutions distribution (npm, cowork zip) | @intentsolutionsio scope, IS-authored license |
| Upstream mirror | Somebody else's work, hosted mirror-by-default | .source.json present — upstream author, license, and pinned commit recorded |
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.
Start with the contribution guide, then the intake and review standards every submission passes through:
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.
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.
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 CodeConfigure 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.
npm install apify-client in your project (and express if you build an HTTP handler)APIFY_TOKEN — read it from the environment
(process.env.APIFY_TOKEN) or pass Authorization: Bearer $APIFY_TOKEN on REST
calls, never hard-code itapify-sdk-patterns| Event | Fired When |
|---|---|
ACTOR.RUN.CREATED | A new Actor run starts |
ACTOR.RUN.SUCCEEDED | Run finishes with SUCCEEDED status |
ACTOR.RUN.FAILED | Run finishes with FAILED status |
ACTOR.RUN.ABORTED | Run is manually or programmatically aborted |
ACTOR.RUN.TIMED_OUT | Run exceeds its timeout |
ACTOR.RUN.RESURRECTED | A finished run is resurrected |
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.
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.
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.
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.
id (persistent webhooks are visible under
client.webhooks().list(); ad-hoc webhooks are scoped to one run)payloadTemplate JSON to your
requestUrlclient.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 retriescurl creation, and local testing with ngrok — payload templates & local testing| Issue | Cause | Solution |
|---|---|---|
| Webhook not delivered | URL unreachable | Verify HTTPS, check firewall |
| Duplicate processing | Webhook retry on non-2xx | Implement idempotency |
| Slow processing | Handler takes >30s | Respond 200 immediately, process async |
| Missing data in payload | Wrong template vars | Check template variable spelling |
| Webhook disabled | Too many failures | Re-enable in Console or via API |
For performance optimization, see apify-performance-tuning.
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