intentsolutions.io

Troubleshoot Apple Notes automation by classifying macOS permission denials, AppleEvent communication failures, and sync issues. Get scoped checks and recovery guidance while keeping note content, account names, and other sensitive details out of diagnostic output.

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• Diagnosing an AppleEvent permission denial
• Checking why Notes.app timed out or stopped responding
• Reviewing safe retry steps after a failed note operation

Build and refactor Apollo.io API integrations in TypeScript using reusable client patterns. Add configuration validation, structured errors, controlled retries, paginated search retrieval, and batch contact enrichment to organize API access across a project.

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• Building a reusable Apollo.io API client
• Standardizing error handling and retries
• Retrieving search results across multiple pages

Set up macOS permissions and verify access for automating Apple Notes with AppleScript, JavaScript for Automation (JXA), `osascript`, or Shortcuts. It helps establish a scoped, read-only authorization and a wrapper for approved operations.

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• Granting macOS automation permission for Notes
• Checking Apple Notes access through `osascript` or JXA
• Preparing an approved Notes wrapper or Shortcuts workflow

Plan and carry out note migrations involving Apple Notes, Obsidian, Notion, and other platforms. Separate export, format conversion, and import, then reconcile source and destination records while checking formatting differences and attachment limitations.

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• Move Apple Notes content into an Obsidian vault
• Import Obsidian Markdown files into Apple Notes
• Plan a move from Apple Notes to Notion

Test an Apollo.io integration with small examples for people search and person or company enrichment, which adds further details. TypeScript and Python examples help check API credentials and understand the returned data.

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• Checking credentials for a new Apollo.io integration
• Trying people search without enrichment credits
• Testing company enrichment with a small credit budget

Add observability to Claude API integrations by recording request metadata, latency, token totals, estimated cost, errors, and rate-limit headroom. It helps define dashboards and alerts, then verify them with synthetic requests while keeping prompts and responses out of telemetry.

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• Tracking Claude API latency and token totals
• Setting alerts for errors, rate limits, or budget thresholds
• Verifying telemetry with synthetic requests

Improve Apify Actor runs by comparing baseline metrics and adjusting crawler choice, concurrency, memory, and proxies. Get workload-specific recommendations for speed, reliability, and cost, along with before-and-after measurements.

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• Speeding up a slow crawl
• Reducing memory use or out-of-memory crashes
• Lowering cost per Actor run

Create small working examples for the Claude Messages API in Python or TypeScript. Use them to check credentials and learn how to send text, analyze an image, stream output, and inspect response metadata.

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• Checking that an Anthropic API key works
• Learning a basic text message request
• Trying image analysis with a local file

Set up separate Claude API configurations for development, staging, and production. The skill maps each environment to its own workspace and credentials, applies model and spend limits, and guides isolation checks and a reviewed canary before promotion.

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• Separating Claude API keys by environment
• Setting model and spend policies per environment
• Checking isolation before production promotion

Upgrade Apify SDK, apify-client, and Crawlee packages while checking for version conflicts and code changes. It explains the Apify SDK v2 to v3 migration, including renamed imports and crawler options, then guides testing and rollback.

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• Updating Apify packages safely
• Migrating a crawler from SDK v2 to v3
• Resolving breaking changes after a package upgrade

Create a shared API contract that defines endpoint routes, request and response schemas, TypeScript interfaces, pagination, and error formats. It helps frontend and backend agents implement against the same agreed specification.

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• Defining request and response schemas for a new endpoint
• Aligning frontend and backend work around one API specification
• Standardizing pagination and error responses across endpoints

Design Apify data collection systems using a standalone scraper, a multi-stage pipeline, or an application integration. Get directory layouts, TypeScript skeletons, input validation, configuration patterns, and health checks suited to the chosen structure.

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• Designing a standalone Apify scraper
• Connecting discovery, scraping, and cleanup stages
• Integrating Apify data into an application

Use these TypeScript patterns to build Apify Actors with Crawlee or call Actors through apify-client. Examples cover crawler choice, datasets and key-value stores, proxies, typed wrappers, and handling failed requests without stopping a crawl.

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• Choosing Crawlee for static or JavaScript-heavy pages
• Building an Actor with request error handling
• Reading Actor datasets from an application

Prepare Apollo.io integrations for production on Vercel, GCP Cloud Run, or Kubernetes. Provides deployment configurations, secure API key handling, connectivity health checks, and validation scripts to check readiness before release.

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• Deploy an Apollo.io integration to production
• Configure deployment secrets
• Add Apollo API connectivity health checks

Build an application layer that controls team access to Apollo.io APIs. It helps define role permissions, issue scoped and expiring API keys, route requests through an Express proxy, and provide administrative key and usage endpoints.

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• Defining Apollo API permissions for team roles
• Issuing scoped, expiring keys for team members
• Routing Apollo requests through an Express permission check

Use Apollo.io to find email sequences and sending accounts, create or locate CRM contacts, and enroll contacts in outreach campaigns. The skill also supports checking engagement counts and updating sequence status, with a workflow for reviewing results before sending.

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• Find an existing Apollo email sequence
• Create or search CRM contacts
• Enroll contacts in an outreach campaign

Respond to Claude API errors, latency, throttling, or degraded service with a bounded incident workflow. The skill helps classify severity, check provider and application signals, apply reversible mitigations, verify recovery, and prepare a redacted incident receipt and postmortem.

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• Triage Claude API errors or outages
• Investigate rate limits and high latency
• Apply and verify a reversible mitigation

Review Claude API integrations before production launch, covering credentials, error handling, costs, monitoring, and content safety. Collect test evidence, assess a limited rollout, and document approvals and rollback readiness.

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• Reviewing a Claude API feature before launch
• Checking rate limits and cost alerts
• Validating logs and output safety in staging

Set up Apollo.io API access in TypeScript or Python by configuring an HTTP client, API key headers, and environment variables. Verify authentication with a health check and troubleshoot missing keys, insufficient permissions, rate limits, and network errors.

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• Start a new Apollo.io API integration
• Configure API keys through environment variables
• Create a TypeScript or Python API client

Respond to Apollo.io API incidents with severity classification, diagnostic scripts, and recovery procedures. Use temporary call blocking and cached responses to handle failures, then document the timeline, customer impact, and corrective actions in a post-incident review.

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• Triage an Apollo.io API outage
• Diagnose authentication and rate-limit failures
• Plan cached responses during an outage

Troubleshoot common Apify Actor and API failures by matching the exact error signature to a catalog entry. Get likely causes, copyable fixes, and commands to verify recovery for authentication, rate limits, builds, proxies, payloads, and anti-bot blocks.

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• Diagnosing a failed or timed-out Actor run
• Understanding an Apify API status code
• Investigating proxy or anti-bot failures

Gather diagnostic details for a failed, stalled, or empty Apify Actor run. The skill packages run metadata, logs, a small dataset sample, and environment information into an archive that can support troubleshooting or an Apify support request.

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• Investigating an Actor run that failed
• Collecting evidence for an Apify support request
• Comparing a failed run with a successful one

Manage Apollo.io contact data through examples for subject access exports, erasure, retention rules, local PII encryption, and audit logs. The workflows cover removing contacts from active sequences before deletion and recording data operations.

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• Preparing an authorized contact data access export
• Removing a contact from sequences before erasure
• Applying age-based retention rules to saved contacts

Manage Apify API request limits during bulk operations by tuning retries, batching dataset writes, and queuing calls. It helps build integrations that control request frequency and respond to rate-limit headers.

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• Troubleshooting repeated Apify API 429 errors
• Batching large dataset uploads
• Controlling concurrent API reads