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: clickhouse-multi-env-setup
description: |
Configure ClickHouse across dev, staging, and production with
environment-specific settings, secrets management, and infrastructure-as-code
patterns. Use when setting up per-environment ClickHouse instances, managing
connection configs, wiring secrets per environment, or deploying to multiple
environments. Trigger with "clickhouse environments", "clickhouse dev staging
prod", "clickhouse multi-env", "clickhouse environment config", "clickhouse
staging setup".
allowed-tools: Read, Write, Edit, Bash(aws:*), Bash(gcloud:*), Bash(vault:*)
version: 1.7.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
tags:
- saas
- database
- analytics
- clickhouse
- olap
compatibility: Designed for Claude CodeConfigure separate ClickHouse instances for development, staging, and production
with proper secrets management, environment detection, and infrastructure-as-code.
A single typed config module resolves the right instance from NODE_ENV, so
application code never branches on environment and destructive operations are
blocked outside dev/staging.
The full code for every step lives in references/implementation.md; worked end-to-end flows are in references/examples.md.
Provision one instance per tier, isolated by data sensitivity:
| Environment | Instance | Purpose | Data |
|---|---|---|---|
| Development | Docker local | Fast iteration | Synthetic seed data |
| Staging | ClickHouse Cloud (Dev tier) | Pre-prod validation | Sampled prod copy |
| Production | ClickHouse Cloud (Prod tier) | Live traffic | Real data |
Create src/config/clickhouse.ts with one ClickHouseEnvConfig per environment,
keyed by NODE_ENV. Fail fast in non-dev environments — require a password and
enforce HTTPS at startup:
export function getConfig(): ClickHouseEnvConfig {
const env = process.env.NODE_ENV ?? 'development';
const config = configs[env];
if (!config) throw new Error(`Unknown environment: ${env}`);
if (env !== 'development') {
if (!config.password) throw new Error(`CLICKHOUSE_PASSWORD not set for ${env}`);
if (!config.url.startsWith('https://')) {
throw new Error(`ClickHouse ${env} must use HTTPS`);
}
}
return config;
}
Full per-environment config table (pool sizes, timeouts, compression): references/implementation.md.
A lazily-initialized singleton in src/clickhouse/client.ts builds the pool once
per process from the resolved config. Full code:
references/implementation.md.
Dev uses a git-ignored .env.local; every other tier pulls from a secret manager
(AWS Secrets Manager, GCP Secret Manager, or Vault) — never commit credentials.
CLI recipes for all three:
references/implementation.md.
Run sorted .sql files through a migration runner (scripts/apply-schema.ts).
Fail hard in production, log-and-continue in dev/staging:
references/implementation.md.
requireNonProduction blocks TRUNCATE/reset in prod and validateDatabaseName
catches cross-environment queries. Full guards:
references/implementation.md.
Auto-deploy staging; gate production behind needs: deploy-staging plus a
manual-approval environment. Full workflow:
references/examples.md.
Completing this workflow yields:
src/config/clickhouse.ts — typed, per-environment ClickHouse config with
startup validation (password present, HTTPS enforced outside dev).src/clickhouse/client.ts — a singleton client factory keyed off NODE_ENV.scripts/apply-schema.ts — a deterministic, sorted migration runner..github/workflows/deploy.yml pipeline that migrates schema and deploys
staging automatically, production behind manual approval.Application code then calls getClient() with zero environment branching.
| Issue | Cause | Solution |
|---|---|---|
| Wrong database in prod | Env var not set | Validate config on startup |
| TLS error in staging | Using http:// for Cloud | Force https:// in non-dev |
| Schema drift | Applied manually | Use migration runner in CI |
| Secret not found | Missing env var | Check secret manager + CI config |
Query from application code with no environment logic — getConfig() resolves the
right instance from NODE_ENV:
import { getClient } from './clickhouse/client';
const rows = await getClient().query({
query: 'SELECT count() AS c FROM events WHERE date = today()',
format: 'JSONEachRow',
});
console.log(await rows.json());
More worked flows — the environment-strategy layout, the full CI/CD deploy pipeline, and end-to-end query usage — are in references/examples.md.
For monitoring and observability, see the clickhouse-observability skill, which
covers query performance dashboards, slow-query logging, and alerting across the
same dev/staging/production tiers you configured here.
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