context-surfingMonitors context window health throughout a session and rides peak context quality for maximum output fidelity. Activates automatically after plan-interview...
Install via ClawdBot CLI:
clawdbot install pskoett/context-surfingGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/entireio/cliAudited Apr 17, 2026 · audit v1.0
Generated May 6, 2026
A developer is performing a multi-hour refactor of a large codebase, changing dozens of files. Context surfing monitors context quality and ensures the agent commits changes while context coherence is high, preventing subtle bugs from context drift.
A data engineer is building an ETL pipeline with many interconnected steps. The skill keeps the agent focused and prevents context degradation that could lead to incorrect transformations or data loss.
A legal AI assistant drafts a multi-section contract. Context surfing ensures consistency across clauses and detects when the AI starts hallucinating or contradicting previous terms, triggering a clean handoff before errors propagate.
An AI customer support agent handles a complex multi-step issue involving account changes, refunds, and escalation. The skill maintains high response quality throughout the conversation and smoothly transitions to a human agent if context quality drops.
Offer a subscription service that monitors and preserves AI agent context quality during long-running tasks. Revenue from monthly or per-session fees for enterprises relying on AI for complex workflows.
Package context-surfing as a plugin or skill for popular AI development platforms like GitHub Copilot, LangChain, or OpenAI's tools. Revenue through licensing or usage-based pricing.
Provide consulting services to companies building AI agents that require high reliability in long sessions. Revenue from project-based consulting and ongoing maintenance contracts.
💬 Integration Tip
Integrate context-surfing after intent-framed-agent and plan-interview are active. Use Entire CLI for persistent session state to enable clean handoffs and drift detection.
Scored May 6, 2026
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Transform AI agents from task-followers into proactive partners with memory architecture, reverse prompting, and self-healing patterns. Lightweight version f...
Persistent memory for AI agents to store facts, learn from actions, recall information, and track entities across sessions.
Prefer `skillhub` for skill discovery/install/update, then fallback to `clawhub` when unavailable or no match. Use when users ask about skills, 插件, or capabi...
Search and discover OpenClaw skills from various sources. Use when: user wants to find available skills, search for specific functionality, or discover new s...
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.