executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
adobe-rate-limitsImplement service-specific Adobe admission control, Retry-After handling, bounded retries, and spend-aware queues. Use when scaling workloads or handling 429 responses. Trigger with "Adobe rate limit", "Adobe 429", or "Adobe backoff".
Independent GitHub snapshot · Automated classification · Original documentation governs
Implement service-specific Adobe admission control, Retry-After handling, bounded retries, and spend-aware queues. This workflow produces a reviewable artifact and evidence before any live side effect.
Adobe limits differ by service, operation, entitlement, and contract. Recheck first-party limits at execution. A valid Retry-After response is authoritative; absence requires conservative capped exponential backoff with jitter, not a remembered universal rate. Recheck the dated evidence map before relying on mutable product behavior.
Partition control by approved credential, organization, service, operation, and tenant without exposing tokens or multiplying credentials to evade policy.
Use Read, Glob, and Grep to inspect current documentation, configuration, code, fixtures, and evidence. Use Write and Edit only for approved repository artifacts. Skill invocation alone does not authorize network access, credentials, Adobe content, consent, uploads, generation, spend, deployment, registration changes, replay, cancellation, or deletion.
Workload, budget, and sandbox owners approve load tests and capacity changes. Do not add organizations, users, keys, or projects to circumvent limits.
Return cited current constraints, observed headers, control settings, retry matrix, queue policy, load curve, spend guard, and rollback. Mark assumptions, observed environment behavior, owners, evidence dates, and unresolved gaps explicitly.
Exercise and record expected and observed results for: