复制安装命令
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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-sdk-patterns
description: 'Production-ready patterns for Apify SDK and apify-client in TypeScript.
Use when building Actors with Crawlee, managing datasets/KV stores,
or implementing robust client wrappers with retry and validation.
Trigger with "apify SDK patterns", "apify best practices",
"apify client wrapper", "crawlee patterns", "idiomatic apify".
'
allowed-tools: Read, Write, Edit
version: 1.5.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
tags:
- saas
- scraping
- automation
- apify
compatibility: Designed for Claude CodeProduction patterns for both the apify SDK (building Actors) and apify-client (calling Actors remotely). Covers Crawlee crawler selection, data storage, proxy configuration, and typed client wrappers. This skill gives you the essential skeletons inline; the full eight-pattern catalog and two worked scenarios live in references/ for progressive drill-down.
apify-client for calling Actors remotely, or apify + crawlee for building Actors. Both can coexist in one project.APIFY_TOKEN in the environment — read it via process.env.APIFY_TOKEN, never hard-code it. This is the only credential these patterns require (Apify uses a personal API token, not OAuth).ts-node or a compiled build.Use the two skeletons below to start, then reach into the reference catalog for the pattern that matches your task.
Create one lazily-initialized, token-validated ApifyClient and reuse it everywhere. A resetClient() hook keeps it testable.
// src/apify/client.ts
import { ApifyClient } from 'apify-client';
let instance: ApifyClient | null = null;
export function getApifyClient(): ApifyClient {
if (!instance) {
const token = process.env.APIFY_TOKEN;
if (!token) throw new Error('APIFY_TOKEN is required');
instance = new ApifyClient({ token });
}
return instance;
}
// Reset for testing
export function resetClient(): void {
instance = null;
}
Choose the crawler that matches the page, not the other way around:
import { CheerioCrawler, PlaywrightCrawler, PuppeteerCrawler } from 'crawlee';
// CHEERIO — Fast, lightweight, no JavaScript rendering
// Use for: static HTML, server-rendered pages, APIs
// PLAYWRIGHT — Full browser, all engines, modern API
// Use for: SPAs, JavaScript-heavy pages, complex interactions
// PUPPETEER — Chromium-only browser automation
// Use for: when you need Chromium specifically or legacy Puppeteer code
The remaining six patterns are moved verbatim into patterns.md so this file stays scannable. Pick the one you need:
Actor.main() wrapping input validation, conditional proxy, and a failedRequestHandler.Result<T> around remote calls.See patterns.md for the complete code of all six.
Applying these patterns yields:
ApifyClient instance with fail-fast token validation.Result<T> — callers branch on error instead of catching exceptions.{ url, error, '#isFailed': true } rows rather than aborting the crawl.| Pattern | Use Case | Benefit |
|---|---|---|
Actor.main() | Actor entry point | Auto init/exit + error reporting |
failedRequestHandler | Per-request failures | Log failures without stopping crawl |
| Safe wrapper | External calls | Prevents uncaught exceptions |
| Router | Multi-page scrapes | Clean separation of page types |
| Proxy rotation | Anti-bot sites | Higher success rate |
Two runnable end-to-end scenarios live in examples.md:
apify/web-scraper and read its dataset without ever throwing.Apply these patterns in apify-core-workflow-a for a complete build-and-deploy web scraping workflow, or pair them with apify-common-errors when hardening an Actor for production.
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