Top Rated

Triage, contain, recover, and review Adobe auth, product, async-job, event, storage, spend, or App Builder incidents with evidence

Select and prove the correct Adobe authentication model, entitlement, product profile, and secret lifecycle before integration work

Derive a safe Adobe workload envelope from synthetic load, queue/backpressure behavior, current service constraints, spend, and output correctness

Separate Adobe development, stage, and production organizations/projects/workspaces, credentials, profiles, storage, events, budgets, and evidence

Improve Adobe integration latency and throughput from measurements while preserving correctness, policy, and spend boundaries

Analyze and enforce repository, runtime, data, spend, endpoint, and approval guardrails without guessing secret formats or content-policy rules

Issue an evidence-backed production decision across Adobe auth, entitlements, API versions, data custody, async reliability, spend, observability, and rollback. Use before launch or a material integration change

Implement Adobe I/O Events registration, challenge validation, authentic delivery, idempotent enqueue, replay operations, and disablement recovery

Classify Alchemy authentication, JSON-RPC, Data API, throughput, and partial-response failures before applying bounded recovery

Govern Alchemy compute usage and spend with current account evidence, workload attribution, budgets, and reversible optimizations

Design account-aware Alchemy throttling, bounded retries, and admission control from observed throughput rather than stale plan constants

Design a production Alchemy architecture with capability-specific adapters, explicit trust boundaries, partial-state semantics, and reversible operations

Migrate archived Alchemy JavaScript SDK integrations to current capability-specific clients with parity, canary, and rollback evidence

Operate Alchemy Notify webhooks with raw-body HMAC verification, idempotent intake, durable processing, and safe lifecycle changes

Use when complex problems require systematic step-by-step reasoning with ability to revise thoughts, branch into alternative approaches, or dynamically adjust scope. Ideal for multi-stage analysis, design planning, problem decomposition, or tasks with initially unclear scope.

Use this skill when converting natural language flight commands into waypoints and timing for a drone simulator. Covers parsing commands like "Take off to X m height in Y seconds", "Hover at X m height for Y seconds", "Fly from (x,y,z) to (x',y',z') in T seconds", and "Land from X m height in Y seco…

This skill should be considered when you need to repair an infeasible or non-optimal flexible job scheduling planning schedule into a downtime-feasible, precedence-feasible one while keep no worse policy budget.

❓Ask - You are a task-formulation guide that helps users navigate, ask, and delegate tasks to the correc...

🧠 Auto-Coder - You write clean, efficient, modular code based on pseudocode and architecture. You use configurat...

Multi-agent task orchestration with TodoWrite/TodoRead/Task/Memory using MCP tools.

🧹 Optimizer - You refactor, modularize, and improve system performance. You enforce file size limits, dependenc...

Use when working on accessibility, a11y, WCAG, ARIA, screen readers, keyboard nav, focus order, contrast, alt text, captions, reduced motion, or target sizes; not language/culture/device (see inclusive-design).

Use when working on inclusion, i18n/localization, global name/address forms, low-end devices, slow/metered networks, affordability, or first-time/low-confidence users; not WCAG/screen readers (see accessibility).

Hyperframes-based video template for retro pixel deck motion design. Use when users want a high-fidelity, multi-scene HTML-to-video composition with advanced transitions, interactive preview controls, and ready-to-render default style.