개발 스킬

Build or repair Alchemy Notify event delivery with signature checks, duplicate prevention, and persistent processing. Produce a reviewable receiver design, failure tests, replay procedures, and rollback plans for blockchain notifications.

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• Implementing signature verification for Alchemy Notify
• Preventing duplicate events from repeating notifications
• Testing delayed events and downstream failures

Design a wallet holdings workflow using Alchemy Portfolio APIs to gather tokens and NFTs across networks. Define pagination, partial-failure handling, privacy, retries, and reconciliation so the product can show complete, empty, stale, or degraded results clearly.

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• Designing a multi-network wallet holdings view
• Handling partial errors in portfolio API responses
• Defining pagination and bounded retries for balances

Create a small, reviewable viem client for reading an EVM chain through Alchemy. Check the configured chain ID and latest block, and capture redacted evidence for valid and invalid credentials, wrong-chain settings, rate limits, and timeouts.

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• Check an Alchemy connection and read a block
• Verify the configured EVM chain ID
• Exercise invalid-key and wrong-chain behavior

Set up the Algolia JavaScript v5 client with separate credentials for browser searches and server writes. Define environment settings, restrict each key’s permissions, and verify operation through read-only searches or writes to a disposable test index.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up Algolia in a JavaScript project
• Separate browser search keys from server write keys
• Check configuration and accidental key exposure

Design or review an Alchemy-backed dApp architecture by separating service adapters, credentials, and transaction paths. Define how partial results, retries, queues, outages, and data deletion behave, then document risks, validation, rollout, and rollback.

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• Designing an Alchemy-backed dApp backend
• Reviewing credential and trust boundaries
• Planning queue failures and transaction controls

Build Adobe I/O Events webhook handlers with registration checks, signature verification, and duplicate protection. Define asynchronous processing, retry limits, replay procedures, and monitoring so event delivery can be verified and gaps investigated.

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• Implementing Adobe event reception
• Rejecting forged or misaddressed events
• Handling duplicate and out-of-order events

Investigate Adobe API failures using sanitized responses, configuration, and service documentation. Distinguish authentication, permissions, request validation, throttling, and service issues, then document a limited corrective action, retry decision, verification, and evidence for unresolved support cases.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating an Adobe API failure
• Distinguishing possible causes of a 403 response
• Deciding whether and when to retry a 429 response

Design narrow adapters for Adobe SDKs and REST APIs with pinned versions, typed contracts, secret and URL redaction, and bounded polling for asynchronous jobs. It also helps record compatibility evidence and migration notes before approved live actions.

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• Writing or upgrading Adobe integration code
• Wrapping Adobe APIs behind typed interfaces
• Reviewing SDK and REST API version drift

Create a repeatable local development loop for Adobe adapters using synthetic fixtures and offline tests. Document differences between local modes and remote Runtime, and produce a reviewable record of test evidence, cleanup, and open questions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Developing an Adobe adapter locally
• Mocking Adobe API responses with fixtures
• Testing error and throttling cases offline

Build a starter project for AI agents using Google Agent Development Kit (ADK). It can outline single-agent or multi-agent workflows, connect tools, add basic tests, and provide optional deployment and verification steps for Vertex AI Agent Engine.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Starting a ReAct-style ADK agent project
• Planning a multi-agent workflow with an orchestrator
• Preparing an ADK agent for Agent Engine deployment

Compare direct Adobe service integration, Adobe App Builder, and a dedicated queued worker for a workload. Assess ownership, authentication, latency, scale, storage, events, and operations, then document evidence, risks, conditions, and rollback options.

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• Choosing an architecture for an Adobe workload
• Comparing App Builder with a dedicated worker
• Reviewing authentication, storage, and operational tradeoffs

Implement a typed adapter for an authorized Abridge tenant using its vendor-issued interface contract. It guides schema validation, authentication boundaries, timeouts, and limited retries, while keeping unsupported behavior closed and clinical review outside the adapter.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implementing an adapter from a tenant-specific Abridge contract
• Checking an existing integration's schemas and error handling
• Adding synthetic contract fixtures and version negotiation

Verify a single Adobe API connection before building a production workflow. Choose a current, low-impact read or synthetic operation, check the required entitlement, and create a redacted receipt that records the outcome without exposing secrets or customer content.

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• Check Adobe API access during onboarding
• Confirm a service entitlement with a safe test operation
• Record a redacted request receipt for review

Design production integrations across Adobe services, covering authentication, background jobs, asset storage, event verification, and recovery. Produce architecture documents with service contracts, trust boundaries, rollout plans, and evidence for review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing a production integration across Adobe services
• Defining authentication and asset storage boundaries
• Planning event verification and duplicate handling

Map how Abridge connects with electronic health records, identity systems, devices, and clinical review. Produce architecture diagrams and data flows that identify responsibility boundaries, failure paths, verified evidence, and unresolved interface assumptions.

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• Review an enterprise Abridge integration architecture
• Map patient data flows and responsibility boundaries
• Plan clinician review and downtime workflows

Design a callback receiver only when an approved, tenant-specific Abridge event contract exists. The workflow defines authentication, accepted events, duplicate and replay handling, and synthetic tests while protecting sensitive health information and clinical systems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implementing a callback handler from an approved contract
• Preventing duplicate events from repeating downstream actions
• Testing event handling with synthetic data

Build and prepare ADK agents for deployment with clear code structure, tool interfaces, tests, and operational safeguards. The skill covers both individual agents and coordinated teams, with architecture plans, implementation changes, and validation checklists.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an ADK agent with tests
• Refactor an existing agent before deployment
• Design a workflow with multiple agents

Measure latency and throughput across Adobe integration steps, identify bottlenecks, and compare bounded improvements. The workflow tracks output correctness and spend alongside speed, then records evidence, the selected change, and rollback thresholds.

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• Finding which Adobe integration step causes delays
• Comparing polling, connection reuse, or bounded concurrency
• Checking performance changes against correctness and spend

Review a diff, branch, commit range, or pull request against repository rules, the originating spec, and related consumers. It verifies each finding in the code before reporting it, and stays read-only unless you request fixes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing a diff before opening a PR
• Checking an open pull request
• Finding missed requirements or consumers

Run Skillshare CLI commands, Go tests, debugging, and the web dashboard inside the Linux devcontainer. The workflow keeps verification on the project's intended platform, supports isolated test homes, and picks up source edits without a manual rebuild.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Run Skillshare CLI checks in the Linux container
• Execute Go unit or integration tests
• Reproduce a bug using an isolated home

Turn recent commits into a user-facing changelog entry in the project's established format, grouping visible changes such as features and fixes. It also syncs the entry to the website changelog while preserving its frontmatter and existing history.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Writing a changelog entry for a release
• Summarizing changes between tags
• Syncing a changelog entry to the website

Implement Go features from a spec or plain-language request using a test-first workflow. It guides you through identifying affected files, writing integration tests, following project patterns, and verifying the result in the devcontainer.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding a CLI command or flag
• Building a feature from a spec
• Creating an internal Go package

Use the shared design system when building or styling the React dashboard and Docusaurus website. It explains theme tokens, reusable components, page patterns, accessibility, and visual checks so frontend changes stay consistent across light and dark modes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding a dashboard page or component
• Styling or fixing a website page
• Checking theme tokens and accessibility patterns

Get guidance on DataChain SDK APIs, method signatures, UDFs, and Python code patterns when no particular dataset or bucket is involved. It provides the rules needed to write pipeline code, including saving and exporting data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking a DataChain method signature
• Writing a DataChain UDF
• Asking about SDK code patterns