chain-of-thought plugins

by Alberto Leal

MCP server exposing a single sequentialthinking tool for dynamic, reflective, step-by-step problem-solving. Use when a task needs structured reasoning, planning, hypothesis generation, branching to explore alternatives, or revising earlier steps while keeping a running chain of thoughts.

by Matt Corbett

Prompt & context engineering team — agents (prompt-architect, prompt-implementation-engineer, prompt-reliability-engineer) that own the layer between the model and the app: prompt & context strategy (task decomposition, pattern selection across few-shot / CoT / decomposition / role, system-vs-user structure), the output-format contract (JSON mode, tool/function-calling schemas, few-shot curation, token budgeting), and prompt reliability (eval sets & regression, prompt versioning/CI, prompt-injection & jailbreak defense at the prompt layer). Provider-neutral. skills, a knowledge bank with Mermaid decision trees + a dated 2026 reference, best-practices, templates. Seams: which model → ai-coding-model-guidance / claude-api; retrieval → ai-rag-engineering; eval at scale → llm-evaluation-engineering; adversarial testing → ai-red-teaming; the app → claude-app-engineering / backend-engineering. Requires ravenclaude-core@>=0.7.0.

by Anselm Hahn

Staged reasoning-composition techniques from prompt-engineering theory for complex, ambiguous, or multi-faceted tasks: a Clarify -> Explore -> Decompose -> Execute -> Revise pipeline with code-enforced guarantees.