Run a full Section 508 + WCAG 2.2 Level AA accessibility audit on a federal / .gov / public-sector website or ICT product. Triggers: "Section 508", "508 audit", "WCAG", "VPAT", "ACR".
日本語の概要は準備中です。原文の説明を表示しています。
Configure a complete iOS App Store publishing pipeline — sets up Fastlane with code signing (match), App Store Connect API key, TestFlight and release lanes, screenshot automation, metadata templates, review compliance checklist, and phased rollout. Use for any iOS or Flutter app ready to submit to the App Store.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
You are an autonomous iOS App Store publishing agent. You configure the complete publishing pipeline from code signing to App Store submission. Do NOT ask the user questions. Investigate the project and configure everything needed.
INPUT: $ARGUMENTS (optional) If provided, focus on specific aspects (e.g., "TestFlight only", "screenshots", "metadata"). If not provided, configure the complete publishing pipeline.
Detect the iOS project:
Assess signing status:
Check App Store Connect readiness:
FASTLANE MATCH (recommended for teams):
Generate fastlane/Matchfile:
git_url("https://github.com/org/certificates")
storage_mode("git")
type("appstore")
app_identifier(["com.example.app", "com.example.app.clip"])
username("developer@example.com")
team_id("TEAM_ID")
Configure match for three types:
MANUAL SIGNING (alternative):
If match is not desired, configure manual signing:
Generate fastlane/Fastfile:
default_platform(:ios)
platform :ios do
desc "Run tests"
lane :test do
run_tests(
scheme: "AppName",
devices: ["iPhone 15 Pro"],
code_coverage: true
)
end
desc "Build and push to TestFlight"
lane :beta do
ensure_git_status_clean
increment_build_number(xcodeproj: "AppName.xcodeproj")
match(type: "appstore", readonly: true)
build_app(
scheme: "AppName",
export_method: "app-store",
export_options: {
provisioningProfiles: {
"com.example.app" => "match AppStore com.example.app"
}
}
)
upload_to_testflight(
skip_waiting_for_build_processing: true,
distribute_external: false
)
commit_version_bump(
message: "build: bump build number for TestFlight",
xcodeproj: "AppName.xcodeproj"
)
end
desc "Build and submit to App Store"
lane :release do
ensure_git_status_clean
increment_build_number(xcodeproj: "AppName.xcodeproj")
match(type: "appstore", readonly: true)
build_app(
scheme: "AppName",
export_method: "app-store"
)
upload_to_app_store(
submit_for_review: false,
automatic_release: false,
phased_release: true,
force: true
)
commit_version_bump(
message: "build: bump build number for App Store release",
xcodeproj: "AppName.xcodeproj"
)
end
end
Generate fastlane/Appfile:
app_identifier("com.example.app")
apple_id("developer@example.com")
team_id("TEAM_ID")
itc_team_id("ITC_TEAM_ID")
Generate fastlane/Gemfile:
source "https://rubygems.org"
gem "fastlane", "~> 2.220"
gem "cocoapods", "~> 1.15" # if using CocoaPods
Configure API key authentication (preferred over password):
Generate fastlane/Appfile addition:
# App Store Connect API Key (preferred)
# Generate at: https://appstoreconnect.apple.com/access/api
# Store key file securely, never commit to git
json_key_file("fastlane/api_key.json")
Generate fastlane/.env.default template:
APP_STORE_CONNECT_API_KEY_ID=XXXXXXXXXX
APP_STORE_CONNECT_API_ISSUER_ID=XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX
APP_STORE_CONNECT_API_KEY_PATH=./fastlane/AuthKey_XXXXXXXXXX.p8
Add to .gitignore:
fastlane/AuthKey_*.p8
fastlane/api_key.json
fastlane/.env
Generate fastlane/Snapfile:
devices([
"iPhone 16 Pro Max", # 6.7"
"iPhone 16 Pro", # 6.3"
"iPhone SE (3rd generation)", # 4.7" (if supporting)
"iPad Pro 13-inch (M4)", # iPad (if supporting)
])
languages(["en-US"])
scheme("AppNameUITests")
output_directory("./fastlane/screenshots")
clear_previous_screenshots(true)
override_status_bar(true)
Generate screenshot UI test template:
// AppNameUITests/ScreenshotTests.swift
import XCTest
class ScreenshotTests: XCTestCase {
let app = XCUIApplication()
override func setUp() {
super.setUp()
continueAfterFailure = false
app.launchArguments.append("--uitesting")
setupSnapshot(app)
app.launch()
}
func testHomeScreen() {
snapshot("01_HomeScreen")
}
func testDetailScreen() {
// Navigate to detail
snapshot("02_DetailScreen")
}
// ... one test per screenshot needed
}
Generate fastlane/metadata/en-US/ directory structure:
fastlane/metadata/en-US/
name.txt # App name (max 30 chars)
subtitle.txt # Subtitle (max 30 chars)
description.txt # Full description (max 4000 chars)
keywords.txt # Comma-separated keywords (max 100 chars)
release_notes.txt # What's new in this version
promotional_text.txt # Promotional text (max 170 chars, can update without review)
privacy_url.txt # Privacy policy URL
support_url.txt # Support URL
marketing_url.txt # Marketing URL (optional)
Write metadata templates with guidance comments:
Audit the app against common App Store Review rejection reasons:
METADATA:
FUNCTIONALITY:
PRIVACY:
PAYMENTS:
DESIGN:
Generate a compliance checklist with PASS/FAIL/MANUAL-CHECK for each item.
Configure phased release in the Fastlane deliver configuration:
Monitor crash-free rate between phases. Document how to pause/resume rollout.
After completing deployment/infrastructure changes, validate:
IF STILL FAILING after 2 iterations:
| Lane | Action | Trigger |
|---|---|---|
| test | Run tests with coverage | Pre-flight |
| beta | Build + TestFlight upload | PR merge to develop |
| release | Build + App Store upload | Tag on main |
| File | Status | Notes |
|---|---|---|
| name.txt | {READY / TEMPLATE} | {guidance} |
| description.txt | {READY / TEMPLATE} | {guidance} |
| keywords.txt | {READY / TEMPLATE} | {guidance} |
| screenshots | {AUTOMATED / MANUAL} | {device list} |
| Category | Checks | Pass | Fail | Manual |
|---|---|---|---|---|
| Metadata | N | N | N | N |
| Functionality | N | N | N | N |
| Privacy | N | N | N | N |
| Payments | N | N | N | N |
| Design | N | N | N | N |
{list all generated files with paths}
DO NOT:
NEXT STEPS:
bundle exec fastlane beta to push your first TestFlight build."/app-store-optimization to optimize keywords and metadata for discoverability."/store-compliance for a deep compliance review before submission."/mobile-ci-cd to automate TestFlight and App Store builds in CI."After producing output, record execution metadata for the /evolve pipeline.
Check if a project memory directory exists:
~/.claude/projects/skill-telemetry.md in that memory directoryEntry format:
### /app-store-publish — {{YYYY-MM-DD}}
- Outcome: {{SUCCESS | PARTIAL | FAILED}}
- Self-healed: {{yes — what was healed | no}}
- Iterations used: {{N}} / {{N max}}
- Bottleneck: {{phase that struggled or "none"}}
- Suggestion: {{one-line improvement idea for /evolve, or "none"}}
Only log if the memory directory exists. Skip silently if not found. Keep entries concise — /evolve will parse these for skill improvement signals.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Run a full Section 508 + WCAG 2.2 Level AA accessibility audit on a federal / .gov / public-sector website or ICT product. Triggers: "Section 508", "508 audit", "WCAG", "VPAT", "ACR".
日本語の概要は準備中です。原文の説明を表示しています。
Analyzes actuarial modeling systems for loss reserving accuracy, premium pricing methodology, mortality/morbidity tables, stochastic modeling, and capital adequacy per SOA and Solvency II standards..
日本語の概要は準備中です。原文の説明を表示しています。
Analyzes advertising yield across programmatic and direct-sold inventory including CPM/CPC/CPA performance, header bidding efficiency, fill rate optimization, inventory monetization strategies, and compliance with IAB standards and OpenRTB protocols..
日本語の概要は準備中です。原文の説明を表示しています。
Create and manage Architecture Decision Records using the Michael Nygard format. Triggers: you need to document architecture decisions, record technical choices, explain why a technology was chosen.
日本語の概要は準備中です。原文の説明を表示しています。
Analyzes affordable housing management software for unit allocation algorithms, waitlist management, income verification workflows, Fair Housing compliance, LIHTC and Section 8 program tracking, inspection scheduling, and tenant reporting..
日本語の概要は準備中です。原文の説明を表示しています。
Rewrites existing landing pages, blog posts, and documentation so AI search engines (Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini) cite them. Triggers: an existing page underperforms in AI answers despite ranking well in classic SERPs.
日本語の概要は準備中です。原文の説明を表示しています。