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/dialectic

Prove and counter-prove a statement using parallel agents to eliminate confirmation bias. Use when someone says "dialectic", "prove/disprove", "stress test this claim", "is this really true", "argue both sides", or when a statement needs objective analysis from opposing

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cc-thingz
49516 skills2 agents1 command

Claude Code

$ npx -y skills add umputun/cc-thingz --skill dialectic --agent claude-code

SKILL.md

dialectic.SKILL.md
name: dialectic
description: Prove and counter-prove a statement using parallel agents to eliminate confirmation bias. Use when someone says "dialectic", "prove/disprove", "stress test this claim", "is this really true", "argue both sides", or when a statement needs objective analysis from opposing viewpoints.
argument-hint: '<statement to analyze>'
allowed-tools: Bash, Read, Grep, Glob, Task, AskUserQuestion

Dialectic Analysis

Objective analysis of a statement by running two agents with opposing goals in parallel, then synthesizing findings.

Process

Step 1: Launch Parallel Agents

**CRITICAL: Both Task tool calls MUST be in a single message for true parallel execution.** Do NOT use run_in_background. Do NOT launch sequentially. Foreground agents in the same message run in parallel and block until both complete.

**Agent 1 (Thesis)** — find all POSITIVE evidence:

  • what works well, improvements, correct patterns
  • supporting facts, proof the statement is TRUE
  • benefits, strengths, successful outcomes

**Agent 2 (Antithesis)** — find all NEGATIVE evidence:

  • what's problematic, issues, risks, anti-patterns
  • edge cases, proof the statement is FALSE
  • weaknesses, failure modes, hidden costs

Both agents must provide specific file paths and line numbers when analyzing code.

Step 2: Synthesize

After both agents complete, synthesize findings into an objective conclusion:

  • weigh evidence from both sides
  • identify where thesis and antithesis agree (strongest signal)
  • note unresolved tensions

Step 3: Verify

**CRITICAL** — after presenting the synthesis, verify it against actual implementation:

  • read the specific files and line numbers referenced by both agents
  • confirm the evidence cited actually exists in the codebase
  • check the implementation flow matches the claims made
  • verify the synthesis accurately reflects the actual code context
  • identify any misinterpretations or missing context from agent reports
  • revise synthesis if verification reveals inaccuracies

Use Cases

**Architecture decisions:**

/thinking-tools:dialectic this microservice split improves maintainability

**Bug analysis:**

/thinking-tools:dialectic the connection pool fixes the timeout issue

**Performance claims:**

/thinking-tools:dialectic caching reduced database load by 80%

**Refactoring safety:**

/thinking-tools:dialectic extracting this interface simplifies testing

**Code review:**

/thinking-tools:dialectic this implementation is thread-safe

**Review changes:**

/thinking-tools:dialectic review the changes in server.go

Key Principles

  • **Eliminate confirmation bias** — examining both sides simultaneously prevents anchoring on the first conclusion
  • **Evidence-based** — agents must cite specific files, lines, and facts, not general claims
  • **Verification required** — synthesis must be checked against actual code before presenting
  • **Objective conclusion** — the goal is truth, not winning either side
Read more
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Questions about dialectic.

Which coding agents can use dialectic?
dialectic installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.