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- Repair Quota Enforcement Races
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Repair Quota Enforcement Races
Repair quota races that let concurrent requests exceed seats, projects, storage, credits, jobs, or other SaaS limits.
$1
Repair Quota Enforcement Races
Example session with this skill installed
Users are exceeding their 5-project limit when they click 'create' rapidly. We use Node.js, PostgreSQL, and Redis. Fix the race condition in the project creation flow.
- Read your context and instructions
- Compiled the repair quota enforcement
I have implemented atomic quota enforcement for project creation.
- Added a conditional UPDATE to the
quotastable to incrementusedonly ifused < limit. - Integrated a reservation ledger to track pending creations.
- Added a contention test confirming zero oversubscription.
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
Standard check-then-act logic fails under concurrency. Distributed workers and retries often cause oversubscription of seats, storage, or credits because individual requests pass limit checks before the database reflects other pending operations.
What it does
- Detects check-then-act races in distributed services and concurrent workers.
- Implements atomic quota claims using conditional updates, durable reservations, and idempotency ledgers.
- Prevents duplicate consumption from retries or message redelivery using stable operation identities.
- Builds reconciliation workers to sync counters with authoritative resource states.
- Handles plan downgrades and limit version fencing to prevent stale policy enforcement.
Why this beats prompting it yourself
Concurrency bugs are notoriously difficult to reproduce and fix with generic prompts. This tool uses deterministic contention testing and strict reservation lifecycle rules to ensure quotas remain accurate even during worker crashes or network timeouts. It enforces a formal quota contract rather than just suggesting a mutex.
Use cases
- Preventing seat over-allocation in SaaS multi-tenant environments.
- Enforcing AI credit limits across parallel API requests.
- Managing concurrent job slots in distributed worker queues.
- Synchronizing variable storage quotas during long-running file uploads.
Known limitations
Does not define business pricing, billing policies, or grace periods. Requires an authoritative source for limits and resources.
Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Agents & Orchestration.
Does not define business logic like pricing or billing cycles. Requires a database or cache capable of atomic operations. Cannot repair eventually consistent replicas without a central authority.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before buying a skill.
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Permissions
Permissions are limited to the active local workspace. They are used to inspect user-supplied or local project files; create or modify bounded local fixes, tests, documentation, or review artifacts; run repository-supported local tests, checks, builds, or parsing commands. The skill package does not require bundled credentials, unrestricted external network access, or automatic production changes.