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SkillAtlasSkill 详情
clade-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.
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.
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.
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
- 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/clade-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/clade-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/clade-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/clade-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/clade-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: clade-rate-limits
description: "Handle Anthropic rate limits \u2014 understand tiers, implement backoff,\n\
Use when working with rate-limits patterns.\noptimize throughput, and monitor usage.\n\
Trigger with \"anthropic rate limit\", \"claude 429\", \"anthropic throttling\"\
,\n\"anthropic usage limits\", \"claude tokens per minute\".\n"
allowed-tools: Read, Write, Edit
version: 1.0.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
tags:
- saas
- anthropic
- claude
- rate-limits
compatibility: Designed for Claude CodeAnthropic Rate Limits
Overview
Anthropic enforces three types of limits: requests per minute (RPM), input tokens per minute (TPM), and output tokens per minute. Limits depend on your spend tier.
Rate Limit Tiers
| Tier | Qualification | RPM | Input TPM | Output TPM |
|---|---|---|---|---|
| Tier 1 | Free | 50 | 40,000 | 8,000 |
| Tier 2 | $40+ spend | 1,000 | 80,000 | 16,000 |
| Tier 3 | $200+ spend | 2,000 | 160,000 | 32,000 |
| Tier 4 | $400+ spend | 4,000 | 400,000 | 80,000 |
| Scale | Custom | Custom | Custom | Custom |
Check your tier: console.anthropic.com → Settings → Limits
Response Headers
Every API response includes rate limit headers:
claude-ratelimit-requests-limit: 1000
claude-ratelimit-requests-remaining: 998
claude-ratelimit-requests-reset: 2025-01-01T00:01:00Z
claude-ratelimit-tokens-limit: 80000
claude-ratelimit-tokens-remaining: 79500
claude-ratelimit-tokens-reset: 2025-01-01T00:01:00Z
retry-after: 5
Built-In SDK Retries
The SDK automatically retries 429 and 529 errors with exponential backoff:
import Anthropic from '@claude-ai/sdk';
const client = new Anthropic({
maxRetries: 3, // default: 2. Set to 0 to disable.
});
Custom Backoff
async function callWithBackoff(params: Anthropic.MessageCreateParams, maxRetries = 5) {
for (let attempt = 0; attempt < maxRetries; attempt++) {
try {
return await client.messages.create(params);
} catch (err) {
if (err instanceof Anthropic.RateLimitError) {
const retryAfter = Number(err.headers?.['retry-after'] || 2 ** attempt);
const jitter = Math.random() * 1000;
console.log(`Rate limited. Retry in ${retryAfter}s (attempt ${attempt + 1})`);
await new Promise(r => setTimeout(r, retryAfter * 1000 + jitter));
} else {
throw err;
}
}
}
throw new Error('Exceeded max retries');
}
Throughput Optimization
| Strategy | Impact |
|---|---|
| Use Message Batches API | Bypasses rate limits entirely (async, 24h SLA) |
| Use prompt caching | Cached tokens don't count toward input TPM |
| Use smaller models for simple tasks | Lower token counts = more requests per minute |
Pre-count tokens with countTokens | Avoid wasted requests that will fail |
| Queue and batch requests | Smooth out bursts |
Token Counting
// Count before sending — avoid burning RPM on requests that'll fail
const count = await client.messages.countTokens({
model: 'claude-sonnet-4-20250514',
messages,
system: systemPrompt,
});
console.log(`This request will use ${count.input_tokens} input tokens`);
Python
import anthropic
import time
client = anthropic.Anthropic(max_retries=5)
# Or manual handling:
try:
message = client.messages.create(...)
except anthropic.RateLimitError as e:
retry_after = float(e.response.headers.get("retry-after", 5))
time.sleep(retry_after)
Output
- Rate limit tier identified from response headers
- SDK configured with appropriate
maxRetriessetting - Custom backoff implemented with jitter for high-throughput use cases
- Throughput optimized using batches, caching, or model selection
Error Handling
| Error | Cause | Solution |
|---|---|---|
| API Error | Check error type and status code | See clade-common-errors |
Examples
See Rate Limit Tiers table, Response Headers section, Built-In SDK Retries, Custom Backoff implementation, and Throughput Optimization strategies above.
Resources
- Rate Limits Docs
- Message Batches — no rate limits
- Token Counting
Next Steps
See clade-cost-tuning for cost optimization strategies.
Prerequisites
- Completed
clade-install-auth - Understanding of HTTP response headers
- Familiarity with exponential backoff patterns
Instructions
Step 1: Review the patterns below
Each section contains production-ready code examples. Copy and adapt them to your use case.
Step 2: Apply to your codebase
Integrate the patterns that match your requirements. Test each change individually.
Step 3: Verify
Run your test suite to confirm the integration works correctly.
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