Plan observability for an application's Algolia search journey. Define measurements for availability, latency, index freshness, relevance, and event health, then map them to dashboards, alerts, traces, and service objectives using product baselines.
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Find where an Algolia search journey spends time, from input handling and network requests to rendering. Compare targeted changes against a measured baseline while checking result relevance and freshness.
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Choose a suitable Alchemy integration for each capability: viem for EVM node reads, direct Data APIs, Wallet APIs v5, or Solana Web3.js. The skill helps define typed adapters, keep credentials and signing authority separate, and document failure cases and migration checks.
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Diagnose Algolia request pressure using actual response details, client behavior, and queue data. Set bounded retries and concurrency, reduce competition between interactive search and batch indexing, and document verification results without assuming a universal quota.
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Plan or review an Algolia search system by mapping its data sources, indexing, queries, user interface, permissions, and operations. Get documented architecture decisions, failure handling, validation steps, and a phased rollout with a rollback path.
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Create or review a typed wrapper, a shared interface around the Algolia JavaScript v5 client. Centralize search calls, writes, task completion, and error handling while preserving provider metadata and migrating callers incrementally.
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Assemble a reproducible Alchemy incident bundle with sanitized environment details, request IDs, timing, status evidence, and reproduction results. It helps teams prepare support evidence while screening out credentials and sensitive customer data before sharing.
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Review security in Alchemy applications across credentials, browser access, wallet signing authority, and webhook verification. Map trust boundaries, define data checks, and collect evidence from secret scans and failure tests.
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Set up repeatable local blockchain tests with Alchemy by fixing the chain, block number, dependencies, and test data. Check clean reruns, record service usage, and document how to diagnose failures and restore earlier settings.
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Collect cryptocurrency headlines from more than 50 sources, then filter by coin, topic, and time range. The skill ranks matching articles by relevance and recency, shows source links, and can export results as JSON for further use.
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Plan and verify releases for applications that use Algolia search. Map environments, separate browser search keys from server write keys, prepare index assets, run health and representative query checks, and document rollback steps.
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Diagnose Algolia failures using the actual status, message, request ID, operation, client version, and target index. It narrows likely causes such as key permissions, endpoint or index mistakes, filters, and unfinished tasks, then validates a minimal correction with safe evidence.
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Prepare an Alchemy service for deployment by checking environment credentials, blockchain connections, and a limited trial of live traffic. Produce deployment evidence, promotion decisions, and rollback records for review before expanding traffic.
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Add or strengthen CI checks for Alchemy integrations. The workflow combines deterministic unit and contract tests with secret scans, fork protections, and controlled live checks, producing reviewable evidence for failures such as invalid keys, wrong chains, and unavailable providers.
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Check a local repository before AI-assisted edits and issue a Green, Yellow, or Red risk receipt. It highlights destructive commands, credential-writing automation, risky agent permissions, and Git state, then recommends whether to proceed, checkpoint, or stop for review.
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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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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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Plan Adobe integration migrations by identifying outdated authentication and APIs, defining replacements, and testing compatibility. It organizes evidence, limited trial rollouts, cutover decisions, and rollback steps into artifacts that teams can review.
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Draft business agreements for ten common relationship types, including freelancer, partnership, consulting, and referral arrangements. It gathers party, payment, term, and jurisdiction details, then produces structured clauses with plain English explanations and marked assumptions for review.
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Manage AI work in one Notion task database, from capturing ideas and discussing proposals to approving and running tasks. Dispatch approved work to parallel agents using task-specific model choices while respecting dependencies and tracking progress.
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Create structured Markdown definitions for custom subagents, including their role, workflow, and output format. The skill also checks existing agent files against documented Anthropic fields and marketplace rules, then reports specific issues and fixes.
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Review security controls for Adobe integrations, including access permissions, credential rotation, webhook authenticity, signed URLs, and logs. Produce a threat model, access matrix, test evidence, and ownership plan before making changes to live services.
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Find and load AGENTS.md instruction files across a project's directory hierarchy. Combine shared and module-specific rules, report conflicting instructions and source paths, and reuse discovery results during the current agent session.
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Coordinate multiple AI agents during development sprints with consistent task requests and completion reports. Define separate work areas, share API agreements, and collect implementation and testing results so the project architect can review progress and decide next steps.
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