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Works with the AI Agents you already use
skill miner
Analyzes your agent conversation history to find and automate your most frequent recurring tasks.
$2.99
skill miner
Example session with this skill installed
Look at what I have been doing in Cursor and Claude Code over the last few months and make skills for the tasks I repeat most.
- Read your context and instructions
- Compiled the miner
I found 412 requests across your history. After clustering, I have identified 'Feature Documentation' and 'PR Security Review' as your top repetitions. I have generated two .skill files for you: doc-gen.skill and security-audit.skill. Shall I build the third candidate?
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
Your agent history is a goldmine of patterns you do not notice. You repeat the same instructions, corrections, and context every day, wasting tokens and time re-explaining your preferences.
What it does
- Scans local history from over 20 different AI agents to find recurring requests.
- Redacts sensitive data including credentials and emails before analysis.
- Clusters thousands of requests into distinct tasks using lexical analysis and human-in-the-loop scoring.
- Generates three ready-to-install .skill files based on your specific historical preferences.
- Produces a detailed report on three additional automation candidates for future development.
Frameworks & tools
Python 3, SQLite, Claude Code, Cursor, and various local agent storage formats.
Why this beats prompting it yourself
Manual prompts are based on what you remember, which is often biased toward recent tasks. This tool uses cold data to identify high-friction repetitions you have become blind to, ensuring your skills handle the specific edge cases you have historically encountered.
Use cases
- Bootstrap a personalized skill library based on your actual work habits.
- Audit a team's agent usage to identify common bottlenecks.
- Turn a complex, multi-step workflow into a single, standardized agent command.
- Migrate your working preferences between different AI tools and agents.
Known limitations
Analysis requires at least 40 requests to be meaningful. It cannot access cloud-only history that is not mirrored to local disk.
Requires local history files on disk. Needs at least 40 requests for meaningful analysis. Performs best with a 6-month history window.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
Reviews
This skill has been used 33 times.
Trust & safety
Security scan
Security scan passed 3 months ago
- Software
Python