Self-Improving Marketing

Captures messaging misses, channel underperformance, audience drift, brand inconsistency, attribution gaps, and content decay to enable continuous marketing...

This skill appears to do what it says: create local marketing log files, surface reminders, and optionally run lightweight scripts to detect marketing-related issues in tool output. Before installing or enabling hooks: (1) inspect the provided scripts (activator.sh, error-detector.sh, extract-skill.sh) and hook handlers to confirm you’re comfortable with their behavior; (2) do not enable the PostToolUse (error-detector) hook if you run commands that produce sensitive outputs you don't want scanned — the script reads CLAUDE_TOOL_OUTPUT; (3) enable hooks only by explicit action (copy + openclaw hooks enable) and prefer project-level testing or a sandbox workspace first; (4) the package requests no credentials and performs no network exfiltration, but verify any git clone source you use (the manual install references a GitHub repo) and audit the code before trusting it in production.

Type: OpenClaw Skill Name: self-improving-marketing Version: 1.1.0 The skill bundle is a marketing performance tracking and optimization framework designed for OpenClaw agents. It provides a structured system for logging campaign issues, messaging learnings, and feature requests into local markdown files. The included shell scripts (activator.sh, error-detector.sh, and extract-skill.sh) are utility helpers for environment initialization, keyword-based detection of marketing failures in tool outputs, and scaffolding new skill templates. The OpenClaw hooks (handler.js/ts) are used to inject reminders into the agent's context. No evidence of malicious intent, data exfiltration, or harmful prompt injection was found; all actions are consistent with the stated purpose of marketing self-improvement.