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By mistakeknot
Autonomous experiment loop with mutation provenance tracking — init, run, log experiments with JSONL persistence, git isolation, SQLite mutation store, and ic events bridge.
npx claudepluginhub mistakeknot/interagency-marketplace --plugin interlabMulti-campaign optimization — decompose a broad goal into focused campaigns, dispatch via parallel subagents, synthesize results. Use when optimizing multiple aspects or exploring a hypothesis from multiple angles.
Run a continuous optimization loop — edit code, benchmark, keep or discard, repeat. Use when systematically optimizing a metric through iterative code changes.
Autonomous experiment loop for Demarch — an Interverse plugin providing 3 stateless MCP tools for running, recording, and managing optimization experiments.
Install as a Claude Code plugin:
claude plugin install interlab
MIT
ML experiment tracking with metrics logging and run comparison
Admin access level
Server config contains admin-level keywords
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Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Autonomous experiment loop — iteratively optimize any metric with git-tracked experiments
Set up ML experiment tracking
Autonomous research orchestration: agents for hypothesis-driven investigation, experiment running, fresh-eyes review, and batch evaluation.
Claude Code skill for managing ML experiment task queues with Labtasker
Autonomous experimentation skill — your AI coding agent designs experiments, tests hypotheses, discards failures, keeps wins. Runs overnight while you sleep.
[DEPRECATED — use intervoice] Analyze your writing style and adapt Claude's output to sound like you. Replaced by intervoice, which reads one global multi-register profile instead of per-project glob-routed files.
Recursive AGENTS.md generator with integrated Oracle critique, CLAUDE.md harmonization, incremental updates, diff previews, and smart monorepo scoping. Cross-AI compatible.
Self-improving agent rig: codifies product and engineering discipline into composable workflows from brainstorm to ship. Compounds knowledge, generates domain agents, monitors its own docs, and surfaces conservative update drift. Orchestrates Claude, Codex, and Oracle through 6 agents, 52 commands, 19 skills, 0 MCP servers. Factory substrate: CXDB turn DAG, scenario bank with satisfaction scoring, evidence pipeline, agent capability policies. Companions: interspect, interphase, interline, interflux, interpath, interwatch, interslack, interform, intercraft, interdev, interpeer, intertest.
Token-efficient code reconnaissance for LLMs. Autonomous skills save 48-85% tokens via diff-context, semantic search, structural patterns, and symbol analysis. Includes MCP server for direct tool integration.
Token efficiency benchmarking, session analytics, and API-equivalent cost analysis for agent workflows
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