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    Repair Resource Lifecycle Race Bugs

    1

    Diagnose and repair asynchronous resource create/update/delete races, tombstones, late callbacks, retries, and reconciliation.

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    Repair Resource Lifecycle Race Bugs

    Repair Resource Lifecycle Race Bugs

    Example session with this skill installed

    A delete event for 'user-123' arrived at 10:00:01, but the late 'create' callback finished at 10:00:05, resurrecting the resource. Help me fix this lifecycle race.

    • Read your context and instructions
    • Compiled the repair resource lifecycle

    The issue is a classic resurrection race where the system lacks a terminal state (tombstone) to prevent late-arriving create confirmations from overwriting a completed deletion.

    Diagnosis

    • Identity: user-123
    • Conflict: The delete operation finished locally, but the provider's create callback was still in flight.

    Root Cause: The system treats the absence of a record as "not yet created" rather than "already deleted," allowing the late callback to insert a stale record.

    Implementation: Tombstone Pattern

    Replace the hard delete with a soft-delete tombstone that includes a deleted_at timestamp or a monotonically increasing version ID to discard late-arriving operations.

    interface ResourceState {
      id: string;
      status: 'active' | 'deleted';
      version: number;
      deletedAt?: Date;
    }
    
    async function handleCreateCallback(providerResult: any) {
      const { id, version } = providerResult;
      
      // Atomic check-and-set or transaction
      const existing = await db.resources.find(id);
      
      if (existing && (existing.status === 'deleted' || existing.version >= version)) {
        console.log(`[Lifecycle] Ignoring late callback for ${id}. Resource already terminal.`);
        // Cleanup provider resource if necessary
        await provider.cleanup(id);
        return;
      }
    
      await db.resources.upsert({
        id,
        status: 'active',
        version,
        updatedAt: new Date()
      });
    }
    

    Deterministic Test Plan

    it('should discard create callback if delete occurred during flight', async () => {
      const store = new MockStore();
      const lifecycle = new LifecycleManager(store);
    
      // 1. Start creation
      const createPromise = lifecycle.create('res-1');
      
      // 2. Immediate delete before callback returns
      await lifecycle.delete('res-1');
      
      // 3. Resolve late create callback
      await mockProvider.resolveCreate('res-1');
    
      // 4. Invariant: Store must still reflect 'deleted' state
      const finalState = await store.get('res-1');
      expect(finalState.status).toBe('deleted');
    });
    

    Next steps

    1. Update your database schema to include a version or deleted_at column.
    2. Modify the delete handler to write the tombstone instead of purging the row.
    3. Add a background TTL task to purge expired tombstones after your max-retry window.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Repair Resource Lifecycle Race Bugs targets production and repository defects around diagnose and repair asynchronous resource create/update/delete races, tombstones, late callbacks, retries, and reconciliation.. It examines resource generation/operation identity, create versus delete ordering, late provider callbacks, tombstone and terminal-state semantics, retry/idempotency behavior, cleanup ownership, reconciler authority, mixed-version rollout and observability, then establishes one explicit repair contract and focused deterministic validation.

    The skill works from repository access or partial evidence such as snippets, logs, configuration, traces, and architecture notes. It preserves existing product/security policy, avoids invented execution claims, and keeps production systems, real credentials, and deployment outside the validation path.

    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.

    Requires clear evidence of the state machine or lifecycle events. Cannot fix underlying hardware-level clock skew issues.

    How to use

    1. 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. 2

      Sign in to Agensi

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    3. 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

    Terminal / Shell
    Listed2 months ago
    Updated9 days ago

    What's inside

    Frequently Asked Questions

    This skill identifies and resolves complex distributed system issues where asynchronous operations overlap, such as a 'delete' signal arriving before a 'create' completes or handling late callbacks that corrupt resource states.

    The skill requires access to your code repository or specific debug artifacts like logs, traces, and architecture notes to analyze the lifecycle logic.

    No, the skill operates in a sandboxed analysis mode that respects your security policies and never interacts with live production environments or real credentials.

    It is compatible with any AI agent capable of repository interaction and code analysis, particularly those built on LLMs optimized for backend engineering and distributed systems.

    You receive the specialized diagnostic logic, a set of deterministic validation patterns, and a framework for establishing explicit repair contracts for your resources.

    Yes, the skill is designed to handle mixed-version rollout scenarios, ensuring that reconciler authority and tombstone semantics remain consistent during system upgrades.

    New in Agents & Orchestration