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home / skills / kimasplund / claude_cognitive_reasoning
kimasplund/claude_cognitive_reasoning
19 skills
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benchmark-framework
kimasplund/claude_cognitive_reasoning
1
Rigorous A/B/C testing framework for empirically evaluating reasoning patterns. Use when you need data-driven pattern selection, want to quantify trade-offs between patterns, or need to validate claims about which cognitive methodology performs best. Enables scientific measurement of quality, cost, and time trade-offs across ToT, BoT, SRC, HE, AR, DR, AT, RTR, and NDF patterns.
parallel-execution
kimasplund/claude_cognitive_reasoning
1
Parallel execution patterns for cognitive reasoning tasks. Use when independent sub-problems can be solved simultaneously, multiple solution approaches need exploration, ensemble confidence is required, or time permits depth without sequential constraints. Integrates with ToT, BoT, HE, and AT for accelerated reasoning with fan-out/fan-in, MCTS-style search, and MoA aggregation patterns.
reasoning-handover-protocol
kimasplund/claude_cognitive_reasoning
1
Protocol for cognitive pattern handovers during complex reasoning sessions. Defines .reasoning/ directory structure, handover schemas, and IR-v2 orchestration integration. Use when reasoning sessions require mid-stream pattern transitions, parallel branch merging, state checkpointing, or multi-pattern orchestration. Essential for complex problems where ToT, BoT, HE, or other patterns must hand off work to each other.
document-writing-skills
kimasplund/claude_cognitive_reasoning
1
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.
git-workflow-skills
kimasplund/claude_cognitive_reasoning
1
Provides standardized Git workflows, commit message conventions, branching strategies, and collaboration patterns for all agents performing Git operations. Use when creating commits, choosing branching strategies, creating PRs, performing git operations (merge vs rebase), or handling git collaboration workflows.
agent-memory-skills
kimasplund/claude_cognitive_reasoning
1
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.
chromadb-integration-skills
kimasplund/claude_cognitive_reasoning
1
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.
skill-creator
kimasplund/claude_cognitive_reasoning
1
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
self-reflecting-chain
kimasplund/claude_cognitive_reasoning
1
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.
breadth-of-thought
kimasplund/claude_cognitive_reasoning
1
Exhaustive solution space exploration methodology. Use when solution space is unknown, you need multiple viable options (not just one best), or can't afford to miss alternatives. Explores 8-10 approaches in parallel at each level, prunes conservatively (keep above 40% confidence), returns 3-5 viable solutions. Example - data pipeline options - Apply BoT to explore all architectures exhaustively.
integrated-reasoning
kimasplund/claude_cognitive_reasoning
1
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.
integrated-reasoning-v2
kimasplund/claude_cognitive_reasoning
1
Enhanced meta-orchestration for selecting and combining reasoning patterns. Now includes 9 methodologies (ToT, BoT, SRC, HE, AR, DR, AT, RTR, NDF) with weighted multi-dimensional selection, feedback loops, uncertainty propagation, and validated confidence aggregation. Use when facing complex problems requiring optimal reasoning strategy selection.
negotiated-decision-framework
kimasplund/claude_cognitive_reasoning
1
Multi-stakeholder coordination for decisions involving competing interests, different value systems, or organizational politics. Use when multiple parties must agree, when power dynamics affect decisions, or when consensus is required but perspectives diverge. Unlike DR (resolves conceptual tensions), NDF resolves stakeholder tensions.
agent-creator
kimasplund/claude_cognitive_reasoning
1
Comprehensive guide for creating high-quality specialized agents following v2 architecture patterns. Use this skill when users need to design and implement new agents, understand agent architecture, or learn best practices for agent creation.
ralph-loop-integration
kimasplund/claude_cognitive_reasoning
1
Persistent iteration wrapper for cognitive reasoning patterns using ralph-loop's Stop hook mechanism. Use when high confidence (>90%) is required, complex multi-pattern orchestration needs iterative refinement, self-correcting analysis is needed, or long-running tasks require checkpointed persistence. Wraps IR-v2 patterns in completion promise-gated loops.
rapid-triage-reasoning
kimasplund/claude_cognitive_reasoning
1
Fast decision-making methodology for time-critical situations. Use when you have minutes (not hours) to decide, during incidents, emergencies, or hard deadlines. Optimizes for "good enough now" over "perfect later". Unlike other patterns that maximize quality, RTR maximizes decision speed while maintaining acceptable quality floors.
confidence-check-skills
kimasplund/claude_cognitive_reasoning
1
Pre-implementation validation framework requiring ≥90% confidence before coding. Prevents wrong-direction work by assessing duplicates, architecture alignment, documentation, OSS references, and root cause understanding. Use before implementing features, fixes, or refactoring to save 5K-50K tokens per prevented error.