parallel-execution
Parallel Execution Patterns for Cognitive Reasoning
Purpose: Accelerate and improve cognitive reasoning by executing independent tasks simultaneously. Parallel execution can achieve 2-4x efficiency gains and 70% faster convergence when applied appropriately to reasoning patterns like ToT, BoT, HE, and AT.
When to Use Parallel Execution
Use parallel execution when:
- Problem decomposes into independent sub-problems
- Multiple solution approaches need exploration (BoT, ToT branching)
- High confidence required (ensemble methods)
- Multiple hypotheses need simultaneous testing (HE)
- Time permits depth but sequential execution is unnecessary
- Cross-domain analogies need parallel investigation (AT)
Do not parallelize when:
- Steps have sequential dependencies (use SRC instead)
- Each step depends on previous results
- Problem is inherently linear (debugging traces)
- Resource constraints limit concurrent execution
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.
95agent-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