meeting-note探讨/决策型会议与谈话纪要（结论/共识/分歧/决策轨迹/隐含假设/风险机会/行动项）+ Zettelkasten 连接。Use when 用户要整理会议纪要、复盘讨论、把多方探讨变成可执行资产。信息/学习型谈话（培训、分享会、单向汇报）请改用 deep-learning。关键词：会议纪要、会议、谈话、讨论、mee...
Install via ClawdBot CLI:
clawdbot install mikonos/meeting-noteGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 20, 2026
A cross-functional team meeting to decide on the next quarter's product roadmap, involving debates over feature priorities and resource allocation. This skill extracts decisions, dissents, and action items to ensure alignment and execution.
A high-stakes meeting discussing company strategy, financial risks, or major investments. The skill clarifies hidden assumptions, power dynamics, and strategic decisions, linking insights to long-term knowledge networks.
A team discussion analyzing a completed project's successes and failures, focusing on lessons learned and process improvements. The skill captures consensus on changes, unresolved issues, and actionable steps for future projects.
A debrief after a client or partner meeting to dissect negotiation outcomes, unspoken objections, and next steps. The skill highlights risks, opportunities, and follow-up actions to close deals effectively.
A collaborative session where teams brainstorm new ideas or solve complex problems, with multiple contributors debating approaches. The skill structures divergent views, decision paths, and innovation risks into reusable insights.
Integrate this skill into project management platforms to automate meeting note generation, enhancing team collaboration and accountability. Revenue comes from subscription fees based on user tiers and advanced analytics features.
Offer workshops or consulting packages that teach organizations how to apply this skill for better meeting outcomes, using it as a methodology for decision-making and knowledge management. Revenue is generated through service fees and ongoing support contracts.
Embed this skill into enterprise software for capturing and linking meeting insights across departments, improving strategic alignment and reducing information silos. Revenue streams include licensing fees and customization services.
💬 Integration Tip
Integrate with existing calendar and communication tools (e.g., Slack, Microsoft Teams) to automatically trigger note-taking based on meeting types, ensuring seamless workflow adoption.
Scored May 10, 2026
Manages free AI models from OpenRouter for OpenClaw. Automatically ranks models by quality, configures fallbacks for rate-limit handling, and updates openclaw.json. Use when the user mentions free AI, OpenRouter, model switching, rate limits, or wants to reduce AI costs.
Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trigger when asked for model-level usage/cost data from codexbar, or when you need a scriptable per-model summary from codexbar cost JSON.
Reduce OpenClaw AI costs by 97%. Haiku model routing, free Ollama heartbeats, prompt caching, and budget controls. Go from $1,500/month to $50/month in 5 min...
Generate and edit images with Gemini API using pure Python stdlib. Zero dependencies - works on locked-down environments where pip/uv aren't available.
Manage and use local Ollama models. Use for model management (list/pull/remove), chat/completions, embeddings, and tool-use with local LLMs. Covers OpenClaw sub-agent integration and model selection guidance.
Auto-route tasks to the cheapest Claude model that works correctly. Three-tier progression: Haiku → Sonnet → Opus. Classify before responding. HAIKU (default): factual Q&A, greetings, reminders, status checks, lookups, simple file ops, heartbeats, casual chat, 1-2 sentence tasks. ESCALATE TO SONNET: code >10 lines, analysis, comparisons, planning, reports, multi-step reasoning, tables, long writing >3 paragraphs, summarization, research synthesis, most user conversations. ESCALATE TO OPUS: architecture decisions, complex debugging, multi-file refactoring, strategic planning, nuanced judgment, deep research, critical production decisions. Rule: If a human needs >30 seconds of focused thinking, escalate. If Sonnet struggles with complexity, go to Opus. Save 50-90% on API costs by starting cheap and escalating only when needed.