Run two opposing agents to gather supporting and opposing evidence with file-line citations.
npx skills add https://github.com/umputun/cc-thingz --skill dialectic
Please help me install this Agent Skill. Skill: dialectic Source: https://github.com/umputun/cc-thingz/tree/main/plugins/thinking-tools/skills/dialectic Command: npx skills add https://github.com/umputun/cc-thingz --skill dialectic
Dialectic Analysis provides objective evaluation of statements by running two agents with opposing goals in parallel to minimize confirmation bias and synthesize findings.
Provide a claim to analyze, prompt two parallel agents to generate thesis and antithesis with specific file-and-line references, then synthesize a conclusion and verify it against the actual codebase.
High-intent search queries and answers about installing and using this skill.
To eliminate confirmation bias during code review, you can run parallel opposing AI agents that independently gather supporting and opposing evidence, synthesizing a balanced, evidence-based conclusion.
Evidence-based bug analysis using parallel agents involves prompting one agent to generate a thesis and another an antithesis with specific file-and-line references, then synthesizing and verifying the conclusion against the codebase.
Dialectic analysis verifies statements by requiring both opposing agents to cite specific files and line numbers, ensuring the final synthesized conclusion is checked directly against the actual codebase implementation.
Yes, you can use parallel agent analysis for evaluating refactoring safety by applying the dual-agent dialectic approach to weigh evidence for and against the refactoring decision, producing a verified conclusion.
The primary limitation of using opposing AI agents for statement analysis is the dependency on the accuracy of the cited file and line references, requiring strict verification against the actual codebase to ensure valid synthesis.
PicoMLXCoordinate parallel read-only sub-agents to diagnose software bugs and rank root causes.
samlaggzGuide structured root-cause debugging through evidence gathering and hypothesis testing.
phuhao00Analyze source code to identify symbols, call graphs, and architectural patterns.
mkusakaVerify code change candidates using a recall-biased model.
