Deliberative Refinement — AI skill for Claude Code
Run your content through multiple rounds where the AI critiques itself from different expert angles (structured code review, strategic debate councils, elimination tournaments for binary choices), gro.
How to install Deliberative Refinement
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open aaaronmiller/deliberative-refinement and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Deliberative Refinement does
Run your content through multiple rounds where the AI critiques itself from different expert angles (structured code review, strategic debate councils, elimination tournaments for binary choices), ground with multi-web search between passes, and revise until only ideas that survive adversarial pressure remain.
Alternatives in AI
- Debate — AI Debate Hub - Structured four-way debates between Claude, Sonnet, Gemini, and Codex 2.8k ★
- Mysti — AI coding dream team of agents for VS Code 1k ★
- UltraCode Shim — Give Claude Code's ultracode mode to ANY model you already pay for 422 ★
README
Deliberative Refinement
Stop asking AI for answers. Make it defend them.
A structured multi-agent deliberation framework for complex reasoning, uncertain situations, and consequential decisions.
What Is This?
**Deliberative Refinement** forces AI through multiple rounds of structured critique—different expert perspectives attack from different angles, web search grounds claims between passes, iteration continues until only ideas that survive adversarial pressure remain.
The Core Idea
Instead of prompt → output → polish, you architect critique rounds:
- Expert councils attack the draft from different angles (code reviewers, strategy councils, elimination tournaments)
- Web search grounds claims with actual evidence between rounds
- Iteration continues until weak ideas die and strong ones survive
The Breakthrough
Six months ago, this required orchestrating a dozen different models—one for generation, another for critique, a third for fact-checking. **Tool-interspersed reasoning** collapsed all of that into a single model that switches roles on demand. Same quality, fraction of the complexity.
flowchart LR subgraph Input A[📄 Draft] end
subgraph "Phase 0: Intent Detection"
B{Detect Mode}
B -->|CREATE| C1[Generate First]
B -->|REFINE| C2[Analyze Input]
B -->|DECIDE| C3[Frame Options]
B -->|DISCOVER| C4[Explore Space]
end
subgraph "Phase 1: Council Selection"
D{Select Council}
D -->|Code/Tech| E1[Structured Review]
D -
Related Skills
AI Pair Collaboration
/ai-pair, ai pair, dev-team, content-team, team-stopCoordinate heterogeneous AI teams: one creates, two review from different angles. Uses Claude Code's native Ag
Agents Crossfire
Cross-LLM debate skill for Claude Code. Put different AI models in a room and see what happens.
AI Debate Club
A multi-agent debate engine. Two different LLMs argue any motion, research the web for themselves, and cite th
Inversion Thinking
A cognitive base that shifts reasoning from forward optimization to reverse elimination. Works with any AI age
ApexAG3NT
ApexAgent is a multi-model AI developer harness and execution engine. It combines massive context caching and
Wp Acf
Fast WordPress ACF/content-model scan - checks CPT vs taxonomy vs field choices, field-group hygiene, repeater
Related Agents
Tree Of Thought
Explores multiple solution approaches before committing to one. Use proactively for algorithm selection, data
Brancher
Explores multiple solution approaches before committing to one. Use proactively for algorithm selection, data
Toy Researcher
Researches ONE toy angle for a specific kid — deep, review-backed, obsession-matched — and returns structured