ionic-appflow-migration
Guides the agent through migrating an existing Ionic or Capacitor project away from Ionic Appflow. Use when detecting Appflow live updates, cloud builds, or store deployment flows and replacing them with Capgo live updates plus the repository's CI/CD and store publishing setup. Do not use for Ionic Enterprise SDK plugin migration or for setting up a fresh Capacitor project from scratch.
What this skill does
# Ionic Appflow Migration
Migrate an existing Ionic or Capacitor project away from Ionic Appflow.
## When to Use This Skill
- User is moving off Ionic Appflow
- The project uses Appflow Live Updates, cloud builds, or store deployment
- The repository still references `ionic appflow`, `@capacitor/live-updates`, or `cordova-plugin-ionic`
## Live Project Snapshot
Detected Appflow-related packages and scripts:
!`node -e "const fs=require('fs');if(!fs.existsSync('package.json'))process.exit(0);const pkg=JSON.parse(fs.readFileSync('package.json','utf8'));const out=[];for(const section of ['dependencies','devDependencies']){for(const [name,version] of Object.entries(pkg[section]||{})){if(name==='@capacitor/live-updates'||name==='cordova-plugin-ionic'||name.includes('appflow'))out.push(section+'.'+name+'='+version)}}for(const [name,cmd] of Object.entries(pkg.scripts||{})){if(/appflow|ionic cloud|ionic package|live-updates/i.test(cmd))out.push('scripts.'+name+'='+cmd)}console.log(out.join('\n'))"`
Possible Appflow config and workflow paths:
!`find . -maxdepth 4 \( -name '.io-config.json' -o -name 'ionic.config.json' -o -name 'capacitor.config.json' -o -name 'capacitor.config.ts' -o -name 'capacitor.config.js' -o -path './.github/workflows' \)`
## Migration Strategy
Split the Appflow migration by feature instead of treating it as a single package swap.
- Live Updates -> `capgo-live-updates`
- Native cloud builds -> `capacitor-ci-cd`
- Store publishing -> `capacitor-app-store`
Use this skill to detect what Appflow is doing today, then hand off each feature area to the right skill.
## Procedures
### Step 1: Detect Appflow Usage
Start from the injected snapshot above, then search more broadly if the migration surface is still unclear.
Search the repository for:
- `ionic appflow`
- `@capacitor/live-updates`
- `cordova-plugin-ionic`
- `dashboard.ionicframework.com`
- `appflow.ionic.io`
Record whether the project currently uses:
- live updates
- cloud/native builds
- app store deployment automation
### Step 2: Migrate Live Updates
If Appflow live updates are in use:
1. Remove `@capacitor/live-updates` or `cordova-plugin-ionic`.
2. Install and configure Capgo using the `capgo-live-updates` skill.
3. Map Appflow channels and rollout behavior onto Capgo channels.
4. Verify that `notifyAppReady()` or the equivalent Capgo startup flow is wired correctly.
Do not delete Appflow configuration until the Capgo update path is validated.
### Step 3: Replace Cloud Build Automation
If Appflow was building the app in the cloud:
1. Inspect the existing CI/CD workflow for `ionic appflow build`.
2. Replace it with repository-owned automation using the `capacitor-ci-cd` skill.
3. Preserve signing inputs, environment variables, and platform-specific build arguments.
Treat Appflow build settings as migration input, not as a runtime dependency.
### Step 4: Replace Store Publishing
If Appflow handled TestFlight or Google Play publishing:
1. Inspect the current deployment flow.
2. Move that workflow to the repository's publishing pipeline using the `capacitor-app-store` skill.
3. Keep bundle identifiers, track selection, and credential handling unchanged unless the user wants a new release process.
### Step 5: Clean Up
After each migrated feature is verified:
- remove Appflow packages and scripts
- remove obsolete Appflow configuration
- remove stale CI secrets that are no longer needed
## Error Handling
- For live update migrations, validate rollback behavior before deleting the old Appflow setup.
- For build migrations, preserve the existing signing path first and only simplify later.
- For publishing migrations, move one destination at a time so App Store and Play failures stay isolated.
Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.