context-engineering
SolidContext window monitoring and budget management. Keeps orchestrator at 15-30% context usage while subagents get full 200k tokens. Provides warnings at thresholds, context-aware summarization triggers, and wave-level budget planning.
Install
Quality Score: 96/100
Skill Content
Details
- Author
- a5c-ai
- Repository
- a5c-ai/babysitter
- Created
- 4 months ago
- Last Updated
- today
- Language
- JavaScript
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
context-window
Use when allocating context-window budget across system, skill-injection, working, and output zones; monitoring context health; deciding when to compact; preserving state before compaction; recovering after compaction; or choosing strategies for 1M, 200K, or 128K context windows. Covers zone budgets, practical model-budget tables, the 80% compaction rule, pre/post-compact protocols, persistence hierarchy, operation token costs, and token-reduction techniques. Do NOT use for deciding what information belongs in the working set (use `context-management`), prompt design (use `prompt-craft`), graph architecture (use `context-graph`), or memory curation.
context-window
Use when allocating context-window budget across system, skill-injection, working, and output zones; monitoring context health; deciding when to compact; preserving state before compaction; recovering after compaction; or choosing strategies for 1M, 200K, or 128K context windows. Covers zone budgets, practical model-budget tables, the 80% compaction rule, pre/post-compact protocols, persistence hierarchy, operation token costs, and token-reduction techniques. Do NOT use for deciding what information belongs in the working set (use `context-management`), prompt design (use `prompt-craft`), graph architecture (use `context-graph`), or memory curation.
context-fundamentals
This skill should be used when the user asks to "understand context", "explain context windows", "design agent architecture", "debug context issues", "optimize context usage", or discusses context components, attention mechanics, progressive disclosure, or context budgeting. Provides foundational understanding of context engineering for AI agent systems.
context-fundamentals
This skill should be used when the user asks to "understand context", "explain context windows", "design agent architecture", "debug context issues", "optimize context usage", or discusses context components, attention mechanics, progressive disclosure, or context budgeting. Provides foundational understanding of context engineering for AI agent systems.
context-fundamentals
This skill should be used when the user asks to "understand context", "explain context windows", "design agent architecture", "debug context issues", "optimize context usage", or discusses context components, attention mechanics, progressive disclosure, or context budgeting. Provides foundational understanding of context engineering for AI agent systems.