Render compact generic data tables to PNG images with json-render-cli. Use when users ask to visualize arbitrary structured rows/columns (non-ticket-specific...
Session crash and compaction recovery using a two-file WAL (Write-Ahead Log) system. Use when setting up persistent memory for an OpenClaw agent that needs t...
管理 OpenClaw 长会话防爆机制（80%自动归档、自动轮换新会话、低 token 交接）及定时任务安装。用户提到 compacting context、会话过长、自动总结归档、sessi
Output validation gates for AI agent systems. Prevents hallucinated data, leaked internal context, wrong formats, duplicate sends, and post-compaction drift....
Low-level docx format tool for AI document review. Three operations: (1) read docx → output compact Markdown or JSON; (2) apply edits JSON back to docx (trac...
Saves 20-40% of LLM tokens by teaching the agent to write compressed responses, compressed memory logs, and compressed pre-compaction summaries. Works via SO...
Compress OpenClaw session context to reduce token usage and extend session lifetime. Uses NLP summarization (Sumy) to intelligently compact conversation history while preserving essential context. Tri
Return a compact full report for one major-US credit card — fees, welcome offer, earning rates, redemption, credits, travel benefits, protections, mechanics,...
Build reliable tool context from command output using artifacts and compact reproducible code queries.
Plan Denmark trips with compact route logic, verified entry rules, island transport choices, and practical local execution.
Token and context window optimization — compact prompts, reduce redundancy, prioritize critical context. Use when hitting context limits or to improve agent...
Persistent, semantic memory for AI agents. Gives your AI long-term recall that survives compaction and session resets — 98% accuracy, 20ms latency.
Automated multi-tiered memory management (HOT, WARM, COLD). Use this skill to organize, prune, and archive context during memory operations or compactions.
Analyze wearable health CSV exports (steps, heart rate, sleep, calories, SpO2, exercise, distance) and produce compact JSON reports for hourly, daily, weekly...
Compact AI-to-AI communication protocol. Use when spawning sub-agents, sending inter-agent messages via sessions_send/sessions_spawn, or when instructed to s...
Daily low-token, safety-first upskilling loop for OpenClaw multi-agent teams. Runs configurable micro-drills, scores quality, and produces a compact daily di...
Translate between English and MoltLang, a compact AI language that cuts token usage by 50-70% for efficient, validated, and error-handled agent communication.
--- name: toon-adoption description: Optimize token usage by adopting the compact TOON format for data storage and context. version: 1.0.0 author: Agent Zero Community tags: [token-optimization, toon,
Distill verbose daily logs into compact, indexed digests. Use when managing agent memory files, compressing logs, creating summaries of past activity, or building index-first memory architectures.
This skill should be used when the user asks to "compress context", "summarize conversation history", "implement compaction", "reduce token usage", or mentions context compression, structured summariz
Write-Ahead Log protocol for agent state persistence. Prevents losing corrections, decisions, and context during conversation compaction. Use when: (1) recei...
DuckDuckGo HTML search scraper CLI with JSON, CSV, OpenSearch, markdown, and compact outputs.
Moltlang is a compact symbolic language for AI-to-AI communication using a small codebook of Unicode symbols to convey precise, concise messages.