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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.
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: anima-prod-checklist
description: 'Production readiness checklist for Anima design-to-code pipelines.
Use when deploying automated design-to-code services, preparing CI/CD
Figma-to-code automation, or validating output quality before production.
Trigger: "anima production", "anima go-live", "anima prod checklist".
'
allowed-tools: Read, Write, Edit, Bash(curl:*), Grep
version: 1.4.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
tags:
- saas
- design
- figma
- anima
- production
compatibility: Designed for Claude CodeAnima converts Figma designs into production-ready code for React, Vue, and HTML. A failed design-to-code pipeline means engineers receive broken components, mismatched tokens, or stale screens that drift from the source of truth. This checklist ensures your Anima integration produces reliable, framework-compliant output before it reaches CI/CD.
ANIMA_API_KEY stored in secrets manager (never in source)https://api.animaapp.com)async function checkAnimaReadiness(): Promise<void> {
const checks: { name: string; pass: boolean; detail: string }[] = [];
// Verify Anima API connectivity
try {
const res = await fetch('https://api.animaapp.com/v1/projects', {
headers: { Authorization: `Bearer ${process.env.ANIMA_API_KEY}` },
});
checks.push({ name: 'Anima API', pass: res.ok, detail: res.ok ? 'Connected' : `HTTP ${res.status}` });
} catch (e: any) { checks.push({ name: 'Anima API', pass: false, detail: e.message }); }
// Verify Figma access
try {
const res = await fetch('https://api.figma.com/v1/me', {
headers: { 'X-Figma-Token': process.env.FIGMA_TOKEN! },
});
checks.push({ name: 'Figma Access', pass: res.ok, detail: res.ok ? 'Authenticated' : `HTTP ${res.status}` });
} catch (e: any) { checks.push({ name: 'Figma Access', pass: false, detail: e.message }); }
// Token leak check
const fs = await import('fs');
if (fs.existsSync('./dist')) {
const content = fs.readdirSync('./dist').map(f => fs.readFileSync(`./dist/${f}`, 'utf8')).join('');
const leaked = content.includes(process.env.ANIMA_API_KEY || '');
checks.push({ name: 'Token Safety', pass: !leaked, detail: leaked ? 'KEY IN BUILD!' : 'Clean' });
}
for (const c of checks) console.log(`[${c.pass ? 'PASS' : 'FAIL'}] ${c.name}: ${c.detail}`);
}
checkAnimaReadiness();
| Check | Risk if Skipped | Priority |
|---|---|---|
| API key rotation | Expired keys break entire pipeline | P1 |
| Figma token expiry | Silent sync failure, stale designs | P1 |
| Generation rate limits | 429 errors drop design updates | P2 |
| Component render validation | Broken UI shipped to production | P2 |
| Design token mapping | Visual inconsistencies across app | P3 |
See anima-security-basics for secret management and access control patterns.
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