LangGraph · By agentsope

Split a multi-call LM workflow by cognitive load, not by accuracy: let one strong model make the few reasoning decisions and a cheap model do the many mechanical executions (Aider architect+editor…

agentsope/SkillAlchemy

Enhancement-overlay skill — the DECISION + WIRING layer for LM observability that the single-backend skills [[langsmith]], [[phoenix]], [[mlflow]] do NOT cover.

agentsope/SkillAlchemy

Neutral, framework-agnostic decision tree for project kickoff: "which agent / RAG / LLM framework should I reach for?" Synthesizes the ecosystem sections of 7 landmark-project SOPs (LangGraph…

agentsope/SkillAlchemy

Tool skill — the first move in any LM-debugging session: dump the actual rendered prompt the framework sent to the model, before changing anything else.

agentsope/SkillAlchemy

Cross-framework enhancement overlay for choosing a multi-agent topology BEFORE writing any agent.

agentsope/SkillAlchemy

Universal discipline for any LM-driven loop — agent retries, plan-act-observe, multi-agent handoffs, optimiser passes, test-fix cycles.

agentsope/SkillAlchemy

Decision protocol for building, debugging, and operating LangGraph-based agent systems.

agentsope/SkillAlchemy

Decision protocol for making side-effectful agent tools idempotent — so when an LLM tool call is retried (timeout, framework resume, user re-run, model duplicate emit), the second call is a no-op…

agentsope/SkillAlchemy

Decision protocol for managing the context/session state of an AI coding tool: when to /clear, when to keep context, and how to detect "context bleed" — the failure mode where stale conversation…

agentsope/SkillAlchemy

Tool skill for declaring reducers on LangGraph state keys so parallel writes merge instead of crashing.

agentsope/SkillAlchemy

Enhancement-overlay decision protocol for STREAMING the output of long-running LLM / agent runs from the backend, not just wiring a typing animation in the UI.

agentsope/SkillAlchemy

Decision protocol for wiring a verify-then-fix loop around a code-editing LLM agent.

agentsope/SkillAlchemy

Decision protocol for the map-reduce / dynamic fan-out pattern in LM pipelines — "given list L, run f(item) for each item in parallel, then combine".

agentsope/SkillAlchemy