by affaan-m
token-budget-advisor is a routing skill that helps choose response depth before answering. Use it to control length, detail, or token spend in workflow automation and chat flows. This token-budget-advisor guide covers trigger rules, when not to use it, and how to apply it from skills/token-budget-advisor.
by affaan-m
cost-aware-llm-pipeline helps you build LLM workflows that control API spend with model routing, immutable cost tracking, retry handling, and prompt caching. Ideal for batch jobs, document pipelines, and Workflow Automation where output volume and quality tradeoffs need clear rules.
by affaan-m
The context-budget skill audits Claude Code context use across agents, skills, rules, and MCP servers. It helps identify bloat, duplicate content, and high-cost components, then returns prioritized cleanup actions. Use this context-budget guide for practical context-budget usage and for Skill Testing in larger setups.
by muratcankoylan
context-compression is a practical skill for shrinking long agent sessions without losing the facts needed to continue work. It helps with context compression, structured summarization, file tracking, decision preservation, and tokens-per-task optimization for long-running coding tasks and Context Engineering workflows.
by muratcankoylan
context-fundamentals is a practical guide to context engineering for AI agent systems. It helps you decide what belongs in the prompt, debug context issues, and manage token budgets with clearer context structure. Use this context-fundamentals skill when you need a grounded context-fundamentals guide for agent design and prompt optimization.
by muratcankoylan
context-optimization is a practical skill for Context Engineering that helps reduce token waste, preserve decision state, and manage long workflows. Use it to handle context limits, trim tool-output bloat, improve cache-friendly prompt structure, apply observation masking and compaction, and partition context when needed. It is built for real usage, not just theory.
