Skill Detector for Openclaw

Skill Detector is an intelligent architect that passively monitors your workflows to auto-draft, audit, and improve your personal library of Openclaw Skills.

mouserider
v0.1.0
Feb 25, 2026
0
0
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install skill-detector

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install skill-detector using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Skill Detector?

Skill Detector acts as a specialized factory for your AI agent environment. It functions as an always-on observer that identifies repetitive tasks, complex decision trees, and multi-step processes within your daily conversations. By analyzing these patterns, it creates high-quality Openclaw Skills that allow you to codify your expertise and save significant time on recurring manual prompts.

The tool ensures your agent learns your specific style, tone, and technical requirements over time, making every interaction more efficient. Instead of writing documentation from scratch, this skill allows the agent to propose improvements and new additions to your library of Openclaw Skills based on real-world usage data and identified efficiency gaps.

Skill Detector Use Cases

  • Identifying recurring manual workflows that should be automated as permanent Openclaw Skills.
  • Auditing an existing library to find redundant, stale, or weak skill definitions that need updating.
  • Crystallizing complex, multi-step problem-solving sessions into reusable procedural assets.
  • Mapping domain knowledge shared during a conversation into structured Openclaw Skills for future consistency.

How Skill Detector Works

  1. The detector passively monitors every conversation, scoring patterns based on frequency, complexity, and explicit user requests for consistency.
  2. When a workflow hits a specific threshold (total score of 7+), it automatically drafts a production-ready SKILL.md file.
  3. The system scans your existing Openclaw Skills to match your preferred formatting, tone, and level of detail for a seamless fit.
  4. It maintains a pattern-tracker.json file to refine its suggestions and provide insights into potential automation gaps across different sessions.
  5. Upon active request, it performs a full audit of your workspace to suggest improvements, identify redundant assets, or propose skill chains.

Skill Detector Setup

To enable the detector, ensure the skill is present in your workspace skills directory. It will automatically begin tracking patterns in a local JSON file to improve your Openclaw Skills library.

# Initialize the pattern tracker in your base directory
touch ./pattern-tracker.json

# Ask the agent to analyze your existing setup
# "Analyze my skills and suggest improvements"

Skill Detector Data Schema & Taxonomy

The skill organizes data through a centralized tracking file to ensure long-term learning and better drafting of Openclaw Skills.

Data Point Description
patterns An array of detected workflows with their associated scores, frequency, and status.
stats Counters for detected, suggested, accepted, and declined Openclaw Skills.
signals Specific triggers like "multi-step process" or "recurring task" used to calculate value.
frontmatter Metadata including name and description used for auto-drafting new files.

Skill Detector Advanced Features

  • Skill Chaining: Automatically identifies when two separate Openclaw Skills are used back-to-back and offers to create a combined meta-skill.
  • Style Matching: Analyzes your existing repository to ensure newly drafted markdown files use the same headers, tables, and tone as your previous Openclaw Skills.
  • Gap Analysis: Identifies missing automation opportunities by comparing historical conversation data against your current skill library.
  • Conversation-to-Skill: Instantly converts a successful one-off problem-solving session into a permanent, documented asset before the context is lost.

SKILL.md


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