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SkillAtlasSkill 详情
anima-rate-limits
A model-agnostic agent-skills platform.
审核状态：已审核Quality 72Security 70
项目 README
来源文件：README.md
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.
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."
| 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/*/ |
📦 Live npm Downloads
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.
Ways in
Five real questions, five doors — each resolves to a live, generated surface, never a hand-maintained list:
- By category — the table below, regenerated from the catalog on every sync.
- By plugin — tonsofskills.com/explore, the full browsable catalog.
- By skill — tonsofskills.com/skills, searchable across the whole corpus.
- By job to be done — tonsofskills.com/cowork, curated bundles as one-click downloads.
- By certification tier — the Certification section below, rendered from the live report.
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).
| 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 |
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:
| 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 |
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:
- Contribution requirements — including the AI-assistance disclosure expectation.
- Skill submission intake standard — the tiered document matrix new plugins ship with.
- External-PR review standard — how maintainers triage and what gets a submission merged.
Governance
- STANDARDS.md — the public spec posture and the canonical-documents index (one owner per fact class).
- The platform master blueprint — CI gates, release, docs governance, and this README's own landing contract.
- GOVERNANCE.md · SECURITY.md · LICENSE
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.
开发与工程
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：2 条。
Codex — Git Clone 安装
- 安装前请先查看来源仓库和风险报告。
- 克隆仓库：git clone https://github.com/jeremylongshore/tons-of-skills-marketplace.git
- 将 "skills/.curated/anima-rate-limits" 文件夹复制到 Codex 的 skills 目录中。
- 重启 Codex 让新的 skill 生效。
Codex — 手动复制安装
- 安装前请先查看来源仓库和风险报告。
- 从源仓库下载 SKILL.md 及相关文件。
- 在 Codex 的 skills 目录中创建新文件夹。
- 将所有 skill 文件复制到新文件夹中。
- 重启 Codex 让新的 skill 生效。
Claude Code — Git Clone 安装
- 安装前请先查看来源仓库和风险报告。
- 克隆仓库：git clone https://github.com/jeremylongshore/tons-of-skills-marketplace.git
- 将 "skills/.curated/anima-rate-limits" 文件夹复制到 Claude Code 的 skills 目录中。
- 重启 Claude Code 让新的 skill 生效。
Claude Code — 手动复制安装
- 安装前请先查看来源仓库和风险报告。
- 从源仓库下载 SKILL.md 及相关文件。
- 在 Claude Code 的 skills 目录中创建新文件夹。
- 将所有 skill 文件复制到新文件夹中。
- 重启 Claude Code 让新的 skill 生效。
Cursor — Git Clone 安装
- 安装前请先查看来源仓库和风险报告。
- 克隆仓库：git clone https://github.com/jeremylongshore/tons-of-skills-marketplace.git
- 将 "skills/.curated/anima-rate-limits" 文件夹复制到 Cursor 的 skills 目录中。
- 重启 Cursor 让新的 skill 生效。
Cursor — 手动复制安装
- 安装前请先查看来源仓库和风险报告。
- 从源仓库下载 SKILL.md 及相关文件。
- 在 Cursor 的 skills 目录中创建新文件夹。
- 将所有 skill 文件复制到新文件夹中。
- 重启 Cursor 让新的 skill 生效。
GitHub Copilot — Git Clone 安装
- 安装前请先查看来源仓库和风险报告。
- 克隆仓库：git clone https://github.com/jeremylongshore/tons-of-skills-marketplace.git
- 将 "skills/.curated/anima-rate-limits" 文件夹复制到 GitHub Copilot 的 skills 目录中。
- 重启 GitHub Copilot 让新的 skill 生效。
GitHub Copilot — 手动复制安装
- 安装前请先查看来源仓库和风险报告。
- 从源仓库下载 SKILL.md 及相关文件。
- 在 GitHub Copilot 的 skills 目录中创建新文件夹。
- 将所有 skill 文件复制到新文件夹中。
- 重启 GitHub Copilot 让新的 skill 生效。
Windsurf — Git Clone 安装
- 安装前请先查看来源仓库和风险报告。
- 克隆仓库：git clone https://github.com/jeremylongshore/tons-of-skills-marketplace.git
- 将 "skills/.curated/anima-rate-limits" 文件夹复制到 Windsurf 的 skills 目录中。
- 重启 Windsurf 让新的 skill 生效。
Windsurf — 手动复制安装
- 安装前请先查看来源仓库和风险报告。
- 从源仓库下载 SKILL.md 及相关文件。
- 在 Windsurf 的 skills 目录中创建新文件夹。
- 将所有 skill 文件复制到新文件夹中。
- 重启 Windsurf 让新的 skill 生效。
查看 SKILL.md 原文
name: anima-rate-limits
description: 'Implement rate limiting for Anima API code generation requests.
Use when batching component generation, handling rate limit errors,
or optimizing API throughput for large design systems.
Trigger: "anima rate limit", "anima throttling", "anima batch generation".
'
allowed-tools: Read, Write, Edit, Bash(npm:*)
version: 1.4.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
tags:
- saas
- design
- figma
- anima
- rate-limiting
compatibility: Designed for Claude CodeAnima Rate Limits
Overview
Anima API has per-minute rate limits on code generation. Each generateCode call processes one Figma node through AI — it's compute-intensive and rate-limited accordingly.
Rate Limit Tiers
| Tier | Generations/min | Concurrent | Notes |
|---|---|---|---|
| Partner (standard) | 10 | 2 | Most common |
| Enterprise | 30 | 5 | Custom agreement |
Instructions
Step 1: Throttled Generator with Bottleneck
// src/anima/throttled-generator.ts
import Bottleneck from 'bottleneck';
import { Anima } from '@animaapp/anima-sdk';
const limiter = new Bottleneck({
maxConcurrent: 2,
minTime: 6000, // 10 per minute = 1 every 6 seconds
reservoir: 10,
reservoirRefreshInterval: 60000,
reservoirRefreshAmount: 10,
});
const anima = new Anima({ auth: { token: process.env.ANIMA_TOKEN! } });
async function throttledGenerate(params: any) {
return limiter.schedule(() => anima.generateCode(params));
}
// Batch generate with automatic throttling
async function batchGenerate(nodeIds: string[], settings: any) {
const results = [];
for (const nodeId of nodeIds) {
const result = await throttledGenerate({
fileKey: process.env.FIGMA_FILE_KEY!,
figmaToken: process.env.FIGMA_TOKEN!,
nodesId: [nodeId],
settings,
});
results.push({ nodeId, files: result.files });
console.log(`Generated ${nodeId}: ${result.files.length} files`);
}
return results;
}
export { throttledGenerate, batchGenerate };
Step 2: 429 Retry Handler
async function generateWithRetry(anima: Anima, params: any, maxRetries = 3) {
for (let attempt = 1; attempt <= maxRetries; attempt++) {
try {
return await anima.generateCode(params);
} catch (err: any) {
if (err.response?.status !== 429 || attempt === maxRetries) throw err;
const wait = Math.min(60000, 10000 * attempt); // Wait up to 60s
console.log(`Rate limited — waiting ${wait / 1000}s`);
await new Promise(r => setTimeout(r, wait));
}
}
}
Output
- Bottleneck-throttled code generation matching API limits
- Batch generator for design system-scale operations
- 429 retry handler with progressive backoff
Resources
Next Steps
For security practices, see anima-security-basics.
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