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    Universal Agent Hub — Blackboard Shared Memory & Swarm

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    Asynchronous blackboard shared memory engine and supervisor delegation pattern for concurrent multi-agent swarms.

    $35

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    Universal Agent Hub — Blackboard Shared Memory & Swarm

    Universal Agent Hub — Blackboard Shared Memory & Swarm

    Example session with this skill installed

    Initialize an asynchronous 3-agent swarm to refactor the authentication module: Worker 1 audits security & JWT rotation, Worker 2 creates unit test suites in isolation, and Worker 3 updates OpenAPI schemas using Blackboard memory.

    • Read your context and instructions
    • Compiled the universal agent hub

    Multi-Agent Blackboard Orchestration Active

    • Supervisor: Conductor Agent (PID: 50421)
    • Shared Memory Board: ~/.antigravity/blackboard/board_state.json
    • Lock State: Active (Concurrency lock acquired: Zero race conditions)
    Subagent IDRoleTask FocusMemory Payload Status
    Worker-1Security AuditorJWT expiration & CSRF audit🟢 Briefing posted (0 CVEs, RS256 hardened)
    Worker-2QA EngineerPyTest unit coverage🟢 14 new test cases written & passing
    Worker-3Schema SpecialistOpenAPI 3.1 Spec sync🟢 Contract synced with auth routes

    Conductor Aggregation Result:

    All 3 workers reported back to the shared blackboard without file collision.
    Aggregated pull request branch prepared: feature/auth-hardening-swarm.

    Benchmark Verdict:

    • Dual-Write Collisions: 0 (Zero Race Conditions)
    • Context Token Savings: 87.4%
    • Execution Speedup: 3.4x Parallel Acceleration

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

    About this skill

    Universal Agent Hub — Enterprise Multi-Agent Swarm & Blackboard Memory

    An asynchronous blackboard shared memory engine, concurrency lock manager, and supervisor delegation protocol designed for concurrent multi-agent swarms. Solves agent isolation, amnesia, and dual-write race conditions in modern AI coding agents.

    ⚡ Key Features & Engineering Guardrails:

    • Asynchronous Blackboard Shared Memory: Centralized state board (~/.antigravity/blackboard/) enabling continuous inter-agent coordination without context bloat.
    • Supervisor-Worker Delegation Matrix: Deconstructs massive engineering goals into independent, sandboxed worker pipelines running in isolated contexts.
    • Zero Race Conditions & Concurrency Locking: File-level mutex locks guarantee zero merge collisions and safe parallel file modifications.
    • Standardized Briefing Payloads: Subagents submit compact structured summaries, cutting context token consumption by 85%+.
    • Universal IDE Compatibility: Native drop-in support for Claude Code, Cursor, Windsurf, Codex CLI, and Google Antigravity.

    📦 What's Included in the ZIP:

    • Core CLI Engine: scripts/blackboard_hub.py (Zero-dependency standard library CLI for --init, --post, --read).
    • Architectural Specifications:
      • references/blackboard_memory_spec.md (Atomic concurrency locking & memory layout).
      • references/supervisor_pattern_protocol.md (Conductor-Worker delegation matrix).
    • Agent Skill Specification: Production-ready SKILL.md instruction schema.
    • Testing & Verification Suite: Interactive terminal demo and integration harness.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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