#skill-engineering
26 resources
Results
- yao-meta-skill
Create, improve, or evaluate an existing skill from workflows, prompts, SOPs, scripts.
- SkillAlchemy
SkillAlchemy — One thought conceived, one goal achieved.
- agentsop-multi-tenant-rag
Security-first SOP for multi-tenant RAG systems.
- LEAP
LEAP builds skills through two pipelines: Branch A distills a skill from raw data, while Branch B combines multiple skills into one.
- agentsop-bio-fraud-forensics
Screens biomedical / life-science papers for signs of data fabrication, image manipulation, and statistical anomalies, using the detection techniques…
- agentsop-agent-topology-selection
Cross-framework enhancement overlay for choosing a multi-agent topology BEFORE writing any agent.
- agentsop-aider
SOP for terminal-based, git-native AI pair programming with Aider (git work-tree + tree-sitter repo-map + edit-format + human-in-loop REPL).
- agentsop-bounded-loop
Universal discipline for any LM-driven loop — agent retries, plan-act-observe, multi-agent handoffs, optimiser passes, test-fix cycles.
- agentsop-context-scope-discipline
Coder-agent working-file budget discipline: keep the editable working set (files you /add into writable context) under ~25k tokens, separate "read" from…
- agentsop-conventions-pinning
SOP for writing, loading, and evolving a project-level convention file (CONVENTIONS.md / CLAUDE.md / .cursor/rules / .clinerules /…
- agentsop-cost-tiered-models
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…
- agentsop-crewai
SOP for building multi-agent systems with CrewAI — role-based collaboration, sequential/hierarchical processes, Flows, memory, delegation.
- agentsop-dify
SOP for building LLM applications on Dify — visual workflow + chatflow + agent + RAG knowledge base + plugin marketplace + observability, self-hostable.
- agentsop-domain-eval-set
Build and govern a 50-200 example domain-specific held-out benchmark sampled from real traffic.
- agentsop-dspy
Operating SOP for DSPy (Stanford NLP) — the declarative framework for "programming, not prompting" language models.
- agentsop-framework-selection
Neutral, framework-agnostic decision tree for project kickoff: "which agent / RAG / LLM framework should I reach for?" Synthesizes the ecosystem sections…
- agentsop-http-tool-wrapping
Decision protocol for wrapping a REST / GraphQL / RPC API as a tool an LLM agent can call.
- agentsop-hybrid-retrieval
Enhancement-overlay SOP for adding sparse (BM25 / keyword) retrieval alongside dense (embedding) retrieval.
- agentsop-idempotent-ingestion
Re-ingest-correctness SOP for production RAG.
- agentsop-langgraph
Decision protocol for building, debugging, and operating LangGraph-based agent systems.
- agentsop-llamaindex
Operating-system distillation of LlamaIndex — the leading RAG / document-agent framework.
- agentsop-llm-artifact-versioning
Enhancement overlay — version the WHOLE deployable LLM-app artifact as one bundle: prompts + compiled programs + model snapshot pins + retrieval config +…
- agentsop-llm-engine-selection
Cross-engine decision rubric for self-hosting or recommending an LLM serving stack.
- agentsop-llm-tool-idempotency
Decision protocol for making side-effectful agent tools idempotent — so when an LLM tool call is retried (timeout, framework resume, user re-run, model…
- agentsop-module-shape-selection
ENHANCE overlay on [[dspy]] — the upfront rubric for choosing a reasoning SHAPE (Predict / ChainOfThought / ReAct / ProgramOfThought)…
- agentsop-multiscale-chunking
Enhancement-overlay (C5) for RAG over long documents — the chunk-paradox resolution.
