★ 2 · Updated 2026-09-20
Maximizes agent output quality while minimizing token expenditure through relevance scoring, context compression, budget allocation, and context reclamation.
Browse skills that share this tag.
★ 2 · Updated 2026-09-20
Maximizes agent output quality while minimizing token expenditure through relevance scoring, context compression, budget allocation, and context reclamation.
★ 0 · Updated 2026-09-16
Provides cost architecture design, model routing, prompt caching, and context compression strategies for AI products.
★ 18 · Updated 2026-09-13
Generates a clipboard-ready bootstrap prompt capturing essential context to seamlessly continue conversation in a new session.
★ 816 · Updated 2026-03-20
Compress session context through local Ollama SLM before sending to cloud LLMs