integrated-reasoning-v2
Integrated Reasoning v2 - Meta-Orchestration
Purpose: Select and orchestrate optimal reasoning pattern(s) for your problem. V2 addresses limitations of v1: adds new patterns, replaces order-dependent decision tree with weighted scoring, includes feedback loops, and fixes confidence aggregation.
Available Reasoning Patterns (9)
| Pattern | Purpose | Best For |
|---|---|---|
| Tree of Thoughts (ToT) | Find optimal solution through deep exploration | Optimization, clear criteria, find THE best |
| Breadth of Thought (BoT) | Map solution space comprehensively | Unknown space, need multiple options |
| Self-Reflecting Chain (SRC) | Sequential reasoning with validation | Dependent steps, proofs, linear traces |
| Hypothesis-Elimination (HE) | Systematic elimination through evidence | Diagnosis, debugging, root cause |
| Adversarial Reasoning (AR) | Stress-test through attack simulation | Validation, security, pre-mortems |
| Dialectical Reasoning (DR) | Synthesize opposing valid perspectives | Trade-offs, conceptual conflicts |
| Analogical Transfer (AT) | Solve via cross-domain parallels | Novel problems, no direct precedent |
| Rapid Triage Reasoning (RTR) | Fast decisions under time pressure | Incidents, emergencies, time-boxed choices |
| Negotiated Decision Framework (NDF) | Multi-stakeholder coordination | Politics, competing interests, buy-in needed |
More from kimasplund/claude_cognitive_reasoning
self-reflecting-chain
Sequential reasoning with deep self-reflection and backtracking. Use when problems have step-by-step dependencies, need careful logical reasoning, or require error correction. Each step includes self-reflection, and incorrect steps trigger backtracking. Ideal for debugging, mathematical proofs, sequential planning, or causal analysis where order matters.
96agent-memory-skills
Self-improving agent architecture using ChromaDB for continuous learning, self-evaluation, and improvement storage. Agents maintain separate memory collections for learned patterns, performance metrics, and self-assessments without modifying their static .md configuration.
44chromadb-integration-skills
Universal ChromaDB integration patterns for semantic search, persistent storage, and pattern matching across all agent types. Use when agents need to store/search large datasets, build knowledge bases, perform semantic analysis, or maintain persistent memory across sessions.
42integrated-reasoning
Meta-orchestration guide for choosing optimal reasoning patterns. Analyzes problem characteristics and recommends which cognitive methodology to use - tree-of-thoughts (find best), breadth-of-thought (explore all), self-reflecting-chain (sequential logic), or direct analysis. Use when facing complex problems and unsure which reasoning approach fits best.
30document-writing-skills
Teaches document writing patterns and templates that agents apply when generating documentation, reports, contracts, guides, and technical writing. Use when creating API docs, user guides, reports, changelogs, ADRs, or technical documentation.
23error-handling-skills
Universal error handling, exception management, and logging best practices for all development agents across JavaScript/TypeScript, Python, Rust, Go, and Java. Use when implementing error handling, exception management, logging, error recovery, or debugging production issues.
20