context-manager
SolidManage the LLM's context window — token budgeting, prompt assembly, truncation strategies. Use when approaching context limits or optimizing prompt costs.
Install
Quality Score: 86/100
Skill Content
Details
- Author
- Mark393295827
- Repository
- Mark393295827/third-brain-v5-skills
- Created
- 4 weeks ago
- Last Updated
- today
- Language
- HTML
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
context-optimizer
Optimize token usage and context management. Use when sessions feel slow, context is degraded, or you're running out of budget.
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.
moai-foundation-context
Manages context window optimization, session state persistence, and token budget allocation for multi-agent workflows. Use for token budget management, context limits, or session handoff across agents.
context-engineering
Engineer what goes into the LLM context window — system prompts, retrieved docs, tool schemas, conversation history, memory, examples. Apply the four operations write/select/compress/isolate to manage context as a finite resource. Enforce the 40% rule on context utilization. Use whenever the user is designing system prompts, debugging quality degradation in long conversations, hitting context limits, managing per-step retrieval, dealing with sub-agent context isolation, or asking about "context engineering" / "prompt engineering" / CLAUDE.md / AGENTS.md / instruction files.