claude

agent-orchestration

Composable agent loop and graph architectures — deterministic state machines, DAG workflows, supervisor/worker loops, and parallel swarms, paired with the multi-LLM task router suite (run_agent.py, 13 expert agent personas, AGT sandboxing, and MAF validation). Framework-agnostic: works with any CLI agent.

7 on GitHubby Richard Fremmerlidv3.0.0MITupdated yesterday

Not in a marketplace yet, so it loads for one session with --plugin-dir.

Plugin agent-orchestration in richfrem/agent-plugins-skills. Commands read from the repo's manifest — yesterday.

What it installs

Skills (5)

  • agt-security

    Provides sandboxing validation, HMAC key rotation, and boundary verification to manage security boundaries under Microsoft Agent Governance Toolkit (AGT).

  • cli-agent

    Dispatches bounded tasks, reviews, and audits through external CLI coding agents (Claude, Codex, Copilot, Agy, and local llama-server), with server lifecycle and model catalog maintenance.

  • evaluating-agent-outcomes

    Repository-independent evaluation of delegated agent work: assesses a delivery against a work contract (criterion-level pass/fail/unverified, failure conditions, budget, authorization), checks evidence validity, selects proportionate verification, measures cost with missing data kept unknown, classi

  • maf-adapter

    Provides validation, setup guidance, and a local test harness simulator to run skills within the Microsoft Agent Framework (MAF).

  • orchestrating-agent-work

    Interactive orchestrator for complex engineering work. Analyzes the task, conducts a diagnostic interview to select the appropriate execution strategy (Directed Acyclic Graph versus Loop, and which Loop type), plans the artifact, and supervises execution and verification. Use for "how should I orche

View source on GitHub

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Developer utilities: 8 self-contained skills. Manages GitHub issues (log, promote, rank, refactor proposals, resolution audits) and resolves them in isolated worktrees through PR closure; bundles code and docs for review; checks links; enforces coding conventions; manages ADRs, symlinks, and HuggingFace dataset/model transfers.

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Ecosystem authoring primitives — creates and audits agent skills, plugins, sub-agents, instructions, rules, hooks, GitHub workflows, and APM packages.

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Business exploration and reengineering: guided discovery, requirements capture, interactive prototypes, risk-tiered handoff to engineering, and rescue of existing vibe-coded prototypes. Phase gates enforced by running-exploration-cycle.

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Agent Memory & Knowledge: filesystem memory, RLM summary ledgers, vector retrieval, and Obsidian vault and wiki workflows.

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Governed control plane and learning layer above Claude Code: a gated task pipeline with signed human approval gates and a gating switch (running-control-plane), project setup and signing-identity guidance (setting-up-agentic-os), and eval-gated skill improvement in an isolated lab (improving-skills-in-lab).

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