reward-sciencesReward Sciences integration. Manage Persons, Organizations, Deals, Leads, Projects, Activities and more. Use when the user wants to interact with Reward Scie...
Install via ClawdBot CLI:
clawdbot install gora050/reward-sciencesGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://getmembrane.comAudited Apr 16, 2026 · audit v1.0
Generated May 6, 2026
Quickly set up a reward campaign for new hires, automatically adding them as campaign members upon onboarding. This ensures immediate engagement and a positive first impression.
Create reward rules that trigger actions like bonus points or gift cards when sales targets are met. This drives performance and morale in sales departments.
Use the platform to create and allocate reward batches efficiently for recognition events, such as employee of the month. This streamlines administration and reduces manual errors.
Define conditions based on performance metrics (e.g., hours worked, projects completed) and automatically assign rewards via Reward Rule Actions. This creates a data-driven recognition system.
When built-in actions are insufficient, use Membrane's proxy to send direct API requests—for example, creating a custom reward frequency not supported by default. This extends flexibility without manual auth handling.
Offer the skill as a paid add-on within Membrane, charging businesses a monthly fee for automated reward management. The free tier attracts small teams, while premium tiers scale with campaign volumes.
Monetize by charging per action execution (e.g., per campaign created, per reward issued) or through Membrane token consumption. This aligns cost with usage for variable demand.
License the skill to large corporations needing deep customization, dedicated support, and data sovereignty. Include bespoke reward rules and on-premises deployment options.
💬 Integration Tip
Start by listing available actions with `membrane action list --intent=QUERY` before building custom logic, and always create a connection instead of asking users for API keys.
Scored May 6, 2026
对用户提供的任何学术论文(PDF附件或URL)进行双模式深度研读。当用户请求分析、研读、解读或总结一篇学术论文时,使用此技能。一次性生成两份报告:Part A 面向研究者的深度专业解析,Part B 面向快速理解的核心逻辑与价值提炼。
Access and interact with AI group interview simulations: browse jobs, create/join rooms, speak, advance interviews, upload resumes, and view history and eval...
Intelligent educational curriculum generation system with strict step enforcement and human escalation policies
Auto-learns how you learn best. Adapts teaching style, format, and depth to you.
HTTP client for IServ school platforms. Log in to an IServ instance (e.g. https://grabbe-dt.de) and fetch common student data like unread mail counts, calendar events, files/folders, tasks/exercises, announcements/news, and other IServ modules via HTTP endpoints. Includes best-effort file ops + exercise submission.
Production-grade autonomous self-improvement system with research-backed meta-learning, safe self-modification, and continuous optimization. Based on AI safe...