SkillAtlasSkill 详情

adobe-multi-env-setup

A model-agnostic agent-skills platform.

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项目 README

来源文件:README.md

抓取于 2026年8月26日

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.

Release CLI Plugins Skills GitHub Stars skills.sh Sponsor: Kobiton Buy me a monster

ko-fi

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."

CountCohortReproduce with
442catalog plugins (catalog-entry cohort)node scripts/generate-readme-toc.mjs over marketplace.extended.json
3,067marketplace-visible skills (distinct)node -e "import('./scripts/corpus-resolver.mjs').then(m=>console.log(m.resolveCorpus('marketplace-visible').length))"
347agent definitions in pluginsgit ls-files 'plugins/**' | grep '/agents/.*\.md'
19plugin categoriesls -d plugins/*/

📦 Live npm Downloads

Across 396 published packages in the claude-code-plugins namespace. Updated daily by GitHub Actions.

WindowAll packagesEstablished (>30d)
Last 24 hours962962
Last 7 days2,9202,916
Last 30 days12,86812,779

"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:

#PackageLast 30d
1@intentsolutionsio/openrouter-pack556
2@intentsolutionsio/groq-pack496
3@intentsolutionsio/databricks-pack274
4@intentsolutionsio/clickhouse-pack273
5@intentsolutionsio/wallet-security-auditor263
6@intentsolutionsio/notion-pack258
7@intentsolutionsio/elevenlabs-pack244
8@intentsolutionsio/freshie-inventory-manager214
9@intentsolutionsio/supabase-pack210
10@intentsolutionsio/agency-os204

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:

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).

CategoryPlugins
🤖AI & Machine Learning36
🎭AI Agents & Agency10
🔌API Development26
💼Business Tools6
👥Community21
₿Crypto & Web327
💾Database26
🎨Design2
🔧DevOps & Infrastructure36
📚Examples & Templates5
🧩MCP Servers16
📦Packages5
⚡Performance25
✅Productivity30
🎁SaaS Skill Packs106
🔐Security27
✨Skill Enhancers9
🧪Testing28
📁Analytics1

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:

ClassWhat it isHow the reader can tell
Canonical skillFirst-party, harness-free, the source of truthNo .source.json in its plugin directory
Generated adapterA thin, machine-produced harness projectionLives under a generated path with a "generated — do not edit" header
First-party packageAn Intent Solutions distribution (npm, cowork zip)@intentsolutionsio scope, IS-authored license
Upstream mirrorSomebody 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:

Governance

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:3 条。

Codex — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/jeremylongshore/tons-of-skills-marketplace.git
  3. 将 "skills/.curated/adobe-multi-env-setup" 文件夹复制到 Codex 的 skills 目录中。
  4. 重启 Codex 让新的 skill 生效。

Codex — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Codex 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Codex 让新的 skill 生效。

Claude Code — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/jeremylongshore/tons-of-skills-marketplace.git
  3. 将 "skills/.curated/adobe-multi-env-setup" 文件夹复制到 Claude Code 的 skills 目录中。
  4. 重启 Claude Code 让新的 skill 生效。

Claude Code — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Claude Code 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Claude Code 让新的 skill 生效。

Cursor — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/jeremylongshore/tons-of-skills-marketplace.git
  3. 将 "skills/.curated/adobe-multi-env-setup" 文件夹复制到 Cursor 的 skills 目录中。
  4. 重启 Cursor 让新的 skill 生效。

Cursor — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Cursor 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Cursor 让新的 skill 生效。

GitHub Copilot — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/jeremylongshore/tons-of-skills-marketplace.git
  3. 将 "skills/.curated/adobe-multi-env-setup" 文件夹复制到 GitHub Copilot 的 skills 目录中。
  4. 重启 GitHub Copilot 让新的 skill 生效。

GitHub Copilot — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 GitHub Copilot 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 GitHub Copilot 让新的 skill 生效。

Windsurf — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/jeremylongshore/tons-of-skills-marketplace.git
  3. 将 "skills/.curated/adobe-multi-env-setup" 文件夹复制到 Windsurf 的 skills 目录中。
  4. 重启 Windsurf 让新的 skill 生效。

Windsurf — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Windsurf 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Windsurf 让新的 skill 生效。
查看 SKILL.md 原文
name: adobe-multi-env-setup
description: 'Configure Adobe OAuth credentials and API access across development,

  staging, and production environments with separate Developer Console

  projects, secret managers, and environment-specific scoping.

  Trigger with phrases like "adobe environments", "adobe staging",

  "adobe dev prod", "adobe environment setup", "adobe config by env".

  '
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
- design
- adobe
compatibility: Designed for Claude Code

Adobe Multi-Environment Setup

Overview

Configure Adobe APIs across development, staging, and production environments using separate Developer Console projects, environment-specific OAuth credentials, and cloud-native secret management.

Prerequisites

  • Adobe Developer Console access (admin or developer role)
  • Secret management solution (GCP Secret Manager, AWS Secrets Manager, or Vault)
  • CI/CD pipeline with environment variable injection

Instructions

Step 1: Create Separate Developer Console Projects

Adobe best practice: one Developer Console project per environment with separate OAuth credentials.

EnvironmentConsole ProjectScopesProduct Profile
Developmentmy-app-devopenid,AdobeIDDev sandbox
Stagingmy-app-stagingopenid,AdobeID,firefly_apiStaging profile
Productionmy-app-prodopenid,AdobeID,firefly_api,ff_apisProduction profile

Step 2: Environment Configuration Files

// src/config/adobe.ts
interface AdobeEnvConfig {
  imsEndpoint: string;       // Same across all envs
  fireflyEndpoint: string;   // Same across all envs
  photoshopEndpoint: string; // Same across all envs
  scopes: string;            // Different per env (least privilege)
  retries: number;
  timeoutMs: number;
  cache: { enabled: boolean; ttlMs: number };
}

const configs: Record<string, AdobeEnvConfig> = {
  development: {
    imsEndpoint: 'https://ims-na1.adobelogin.com',
    fireflyEndpoint: 'https://firefly-api.adobe.io',
    photoshopEndpoint: 'https://image.adobe.io',
    scopes: 'openid,AdobeID',        // Minimal scopes for dev
    retries: 1,                       // Fast failure in dev
    timeoutMs: 15_000,
    cache: { enabled: false, ttlMs: 0 },  // No cache in dev
  },
  staging: {
    imsEndpoint: 'https://ims-na1.adobelogin.com',
    fireflyEndpoint: 'https://firefly-api.adobe.io',
    photoshopEndpoint: 'https://image.adobe.io',
    scopes: 'openid,AdobeID,firefly_api',
    retries: 3,
    timeoutMs: 30_000,
    cache: { enabled: true, ttlMs: 60_000 },
  },
  production: {
    imsEndpoint: 'https://ims-na1.adobelogin.com',
    fireflyEndpoint: 'https://firefly-api.adobe.io',
    photoshopEndpoint: 'https://image.adobe.io',
    scopes: 'openid,AdobeID,firefly_api,ff_apis',
    retries: 5,
    timeoutMs: 60_000,
    cache: { enabled: true, ttlMs: 300_000 },
  },
};

export function getAdobeConfig(): AdobeEnvConfig & { clientId: string; clientSecret: string } {
  const env = process.env.NODE_ENV || 'development';
  const config = configs[env] || configs.development;

  return {
    ...config,
    clientId: process.env.ADOBE_CLIENT_ID!,
    clientSecret: process.env.ADOBE_CLIENT_SECRET!,
  };
}

Step 3: Secret Management per Environment

# --- Local Development ---
# .env.local (git-ignored)
ADOBE_CLIENT_ID=dev-client-id-from-console
ADOBE_CLIENT_SECRET=p8_dev_secret
ADOBE_SCOPES=openid,AdobeID

# --- GCP Secret Manager ---
# Create secrets for staging and production
gcloud secrets create adobe-client-id-staging --data-file=- <<< "staging-client-id"
gcloud secrets create adobe-client-secret-staging --data-file=- <<< "p8_staging_secret"
gcloud secrets create adobe-client-id-prod --data-file=- <<< "prod-client-id"
gcloud secrets create adobe-client-secret-prod --data-file=- <<< "p8_prod_secret"

# Grant service account access
gcloud secrets add-iam-policy-binding adobe-client-secret-prod \
  --member="serviceAccount:my-app@project.iam.gserviceaccount.com" \
  --role="roles/secretmanager.secretAccessor"

# --- AWS Secrets Manager ---
aws secretsmanager create-secret \
  --name adobe/staging/credentials \
  --secret-string '{"client_id":"...","client_secret":"p8_staging_..."}'

aws secretsmanager create-secret \
  --name adobe/production/credentials \
  --secret-string '{"client_id":"...","client_secret":"p8_prod_..."}'

# --- HashiCorp Vault ---
vault kv put secret/adobe/staging client_id="..." client_secret="p8_staging_..."
vault kv put secret/adobe/production client_id="..." client_secret="p8_prod_..."

Step 4: CI/CD Environment Matrix

# .github/workflows/deploy.yml
jobs:
  deploy:
    strategy:
      matrix:
        environment: [staging, production]
    environment: ${{ matrix.environment }}
    runs-on: ubuntu-latest
    env:
      NODE_ENV: ${{ matrix.environment }}
      ADOBE_CLIENT_ID: ${{ secrets[format('ADOBE_CLIENT_ID_{0}', matrix.environment)] }}
      ADOBE_CLIENT_SECRET: ${{ secrets[format('ADOBE_CLIENT_SECRET_{0}', matrix.environment)] }}
    steps:
      - uses: actions/checkout@v4
      - run: npm ci && npm test
      - name: Verify Adobe credentials for ${{ matrix.environment }}
        run: |
          HTTP_CODE=$(curl -s -o /dev/null -w "%{http_code}" -X POST \
            'https://ims-na1.adobelogin.com/ims/token/v3' \
            -d "client_id=${ADOBE_CLIENT_ID}&client_secret=${ADOBE_CLIENT_SECRET}&grant_type=client_credentials&scope=openid,AdobeID")
          if [ "$HTTP_CODE" != "200" ]; then
            echo "::error::Adobe credential validation failed for ${{ matrix.environment }}"
            exit 1
          fi
      - run: npm run deploy:${{ matrix.environment }}

Step 5: Environment Safety Guard

// Prevent accidental production operations in non-prod
function requireEnvironment(required: string): void {
  const current = process.env.NODE_ENV || 'development';
  if (current !== required) {
    throw new Error(
      `Operation requires ${required} environment, currently running in ${current}`
    );
  }
}

// Usage: guard dangerous operations
async function deleteAllCachedAssets() {
  requireEnvironment('production');
  // ... actual deletion logic
}

Output

  • Separate Developer Console projects per environment
  • Environment-aware configuration with least-privilege scoping
  • Cloud-native secret management for credentials
  • CI/CD pipeline with per-environment credential injection
  • Safety guards preventing cross-environment operations

Error Handling

IssueCauseSolution
invalid_scope in stagingScope not in staging projectAdd API to staging Console project
Wrong credentials deployedEnvironment mismatchVerify NODE_ENV matches secret path
Secret access deniedMissing IAM bindingGrant secretAccessor role
Config merge failsMissing env config fileEnsure all environments defined

Examples

Start with the smallest applicable command or code example already provided in this guide, using a non-production Adobe environment and credentials. Confirm the documented response or validation result before applying the pattern to production.

Resources

Next Steps

For observability setup, see adobe-observability.

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