autoconference

autoconference-skill

Spawn a conference of autonomous researchers that compete, collaborate, and synthesize breakthroughs.

Commands · When to Use · Quick Start · How It Works · Templates · Guide · 한국어

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[!NOTE] A Claude Code skill that orchestrates N parallel autoresearch agents in structured conference rounds -- with adversarial peer review and cross-researcher synthesis. Write a conference.md defining your research goal, and the conference handles hypothesis generation, experimentation, evaluation, and multi-agent iteration. Built on autoresearch-skill. Works with Claude Code, Codex CLI, and Gemini CLI.

Example: sII Hydrate + Water .gro Generation

Round 1 (Naive)	Final (Converged)
Composite: 34.5 — water in slab	Composite: 99.9 — clean separation

Convergence	Sub-metrics

33 iterations across 3 researchers and 3 rounds. The conference learns to preserve crystal structure and exclude water from the hydrate slab. See full example →

Commands

autoconference v2.0 provides 7 commands through a subcommand architecture:

Command	Description	Use Case
/autoconference	Core conference loop	Run N researchers through structured rounds with peer review
/autoconference:plan	8-step setup wizard	Interactively create a conference.md with dry-run evaluator gate
/autoconference:resume	Checkpoint recovery	Resume an interrupted conference from last completed phase
/autoconference:analyze	Post-conference analysis	Extract insights, failure modes, and transferable learnings
/autoconference:debate	Adversarial debate	2-researcher pro/con format with Opus judge
/autoconference:survey	Literature survey	Multi-database systematic review with citation chains
/autoconference:ship	Ship results	8-phase pipeline to format results for publication

Command chaining:

plan ──> autoconference ──> ship              (standard pipeline)
plan ──> autoconference ──> analyze ──> ship  (with post-analysis)
debate ──> autoconference                     (debate-informed experiment)
survey ──> autoconference                     (literature-guided experiment)
resume ──> autoconference                     (continuation)

Features

• Multi-Agent Orchestration -- N researchers explore different parts of the search space in parallel, then share findings after each round.
• Adversarial Peer Review -- Opus-powered Reviewer agent challenges claims each round, catching overfitting and measurement noise before results propagate.
• Synthesis Over Selection -- Final output combines complementary insights from multiple researchers, not just picks the winner.
• Dual Mode -- Metric mode for numeric optimization, Qualitative mode for literature review and hypothesis generation.
• 7 Subcommands -- Plan, run, resume, analyze, debate, survey, and ship — chainable into full research pipelines.
• Guard Parameters -- Conference-level safety constraints that override metric improvements when violated.
• Automatic Convergence -- Detects plateau, budget exhaustion, or stall and triggers final synthesis automatically.
• Crash Recovery -- 5-type recovery matrix for interrupted conferences (mid-research, mid-poster, mid-review, mid-transfer, pre-synthesis).
• Full Audit Trail -- Per-researcher logs, poster sessions, peer reviews, conference-level TSV, and JSONL event stream.
• Built on autoresearch-skill -- Each researcher runs the proven 5-stage experiment-evaluate-iterate loop.
• Safety Built In -- Max iterations, time budgets, researcher timeouts, forbidden-change boundaries, and automatic rollback.

When to Use