AI & LLM Engineering · agentsope/SkillAlchemy

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

SOP for building multi-agent systems with CrewAI — role-based collaboration, sequential/hierarchical processes, Flows, memory, delegation.

agentsope/SkillAlchemy

SOP for building LLM applications on Dify — visual workflow + chatflow + agent + RAG knowledge base + plugin marketplace + observability, self-hostable.

agentsope/SkillAlchemy

Designs multiscale chunking for RAG by embedding small units for retrieval precision and returning larger context for synthesis.

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

Symbol-level code context for LLM coder-agents: tree-sitter extracts symbols, PageRank ranks them over the cross-file reference graph, and the top class/function signatures are fed to the LLM as a…

agentsope/SkillAlchemy

Adds and tunes a reranker stage for RAG using the retrieve-wide, rerank-narrow pattern.

agentsope/SkillAlchemy

Operating SOP for DSPy (Stanford NLP) — the declarative framework for "programming, not prompting" language models.

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

Enhancement-overlay SOP for adding sparse (BM25 / keyword) retrieval alongside dense (embedding) retrieval.

agentsope/SkillAlchemy

Re-ingest-correctness SOP for production RAG. An agent skill from agentsope/SkillAlchemy.

agentsope/SkillAlchemy

Operating-system distillation of LlamaIndex — the leading RAG / document-agent framework.

agentsope/SkillAlchemy

Security-first SOP for multi-tenant RAG systems. An agent skill from agentsope/SkillAlchemy.

agentsope/SkillAlchemy

Lifecycle SOP for per-model prompt artifacts — the compiled prompts, instructions, few-shot demos, edit-format pins, and embedding-bound indices that change behavior when the underlying LM, dataset…

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

Decide where to enforce structured LM output (constrain at decode time with Outlines vs validate-and-retry with Instructor vs grammar with Guidance) and which failure stance to take…

agentsope/SkillAlchemy

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

agentsope/SkillAlchemy

Enhancement overlay for multi-agent / tool-using coder agents.

agentsope/SkillAlchemy

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

agentsope/SkillAlchemy

Build and govern a 50-200 example domain-specific held-out benchmark sampled from real traffic.

agentsope/SkillAlchemy

Decision protocol for wrapping a REST / GraphQL / RPC API as a tool an LLM agent can call.

agentsope/SkillAlchemy

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

agentsope/SkillAlchemy

Cross-engine decision rubric for self-hosting or recommending an LLM serving stack.

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

Decomposed, multi-criteria metric design for LLM pipelines. An agent skill from agentsope/SkillAlchemy.

agentsope/SkillAlchemy

The compile-readiness gate for prompt auto-optimization. An agent skill from agentsope/SkillAlchemy.

agentsope/SkillAlchemy

Project-kickoff rubric for the self-host vs managed-cloud decision — when is running your own inference engine / LLM platform worth the ops cost vs paying per-token for a managed API?

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 SOP for serving LLMs with vLLM. An agent skill from agentsope/SkillAlchemy.

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