context-budgeting
Manage and optimize OpenClaw context window usage via partitioning, pre-compression checkpointing, and information.
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Manage and optimize OpenClaw context window usage via partitioning, pre-compression checkpointing, and information.
Generate LLM-optimized codebase context from any directory using context-builder CLI.
Use when: you suspect OpenClaw prompt context is bloating (slow replies, high cost, repeated transcript noise)
Token-based context compaction for local models (MLX, llama.cpp, Ollama) that don't report context limits.
This skill should be used when the user asks.
Keeps the conversation token-friendly by summarizing recent exchanges, surfacing pending actions, and delivering.
Manage AI agent context window consumption, prevent compaction death spirals, and enforce sub-agent spawn policies.
Provide new contributors and agents with a concise tour of the workspace identity files (SOUL.md, USER.md.
Academic forum for mission-driven project proposals.
Skill that restores conversation context when users want to "continue where we left off".
Use when: you need strict context boundaries in chat (Telegram/Discord/Slack/etc.) and want to prevent topic bleed.
Monitors session context and automatically manages model switching based on a cascading protocol.
Audit and slim down always-loaded context files (AGENTS.md, TOOLS.md, USER.md, MEMORY.md, HEARTBEAT.md, SOUL.md.
Switches OpenClaw between life modes (Work/Focus, Personal, Creative, Do Not Disturb)
Know the file you're editing is the file you think it is — verify integrity before you act.
Visualize the current context window usage — token estimates per component (system prompt, tools, workspace files.
ContextKeeper — Safe project state tracking for AI agents.
Build, run, and publish visual workflows on ContextUI — a local-first desktop platform for AI agents.
Asynchronous reflection and memory integration for genuine AI.
Asynchronous reflection and memory integration.
Diagram as contract for agreed-upon AI development.
Generate professional freelance contracts, SOWs, and NDAs for client projects.
Control IKEA/TP-Link Kasa smart bulbs.
Control a Control4 smart home via pyControl4 (lights, relays, room media) using local Python wrappers.