compound-learnings
Transform session learnings into permanent capabilities (skills, rules, agents). Use when asked to "improve setup", "learn from sessions", "compound learnings", or "what patterns should become skills".
Security Assessment
About compound-learnings
The 'compound-learnings' skill transforms ephemeral session learnings into permanent capabilities, enabling users to consolidate patterns and insights from previous sessions into reusable skills, rules, and agents. This skill addresses the problem of capturing and formalizing knowledge gained over time, allowing users to evolve their workflows and processes based on past experiences. It automates the process of detecting and consolidating useful patterns, improving setups, and creating new rules that guide actions and decisions, ultimately enhancing productivity and consistency across sessions.
The core functionality of 'compound-learnings' revolves around gathering session learnings, extracting structured patterns from them, consolidating similar ideas, and categorizing the findings into meaningful artifacts like skills, rules, or agents. The process includes detecting meta-patterns, categorizing patterns based on their nature, and proposing new capabilities based on their frequency and importance. The skill provides a robust framework for decision-making on when and how to formalize a pattern into a permanent capability, using a decision tree to guide users through this process. It supports multiple tools, such as reading, writing, editing, and asking questions to gather approval for new artifacts.
This skill is ideal for users who frequently engage in iterative workflows and wish to continuously improve and formalize their processes. It is useful for teams or individuals who want to automate the creation of rules, skills, and agents based on patterns found during their work. Whether in software development, system administration, or other fields, this skill helps users turn informal learnings into structured, reusable elements that improve their ongoing work efficiency and consistency.
FAQ
How do I use 'compound-learnings'?
To use 'compound-learnings', you can initiate the process by asking questions related to improving your setup or turning learnings into permanent capabilities. The skill will guide you through gathering recent learnings, extracting key patterns, and categorizing them into skills, rules, or agents. It will also ask for approval on proposed artifacts before finalizing them.
Can I customize the process of extracting learnings?
Yes, you can adjust the parameters to specify the number of learning files to read or define a date range. The skill automatically extracts patterns based on predefined sections in the learning files, but you can modify or extend this process according to your needs.
Is there any limitation on the number of learnings that can be processed?
The skill can process any number of learning files, though it recommends starting with the most recent 5-10 files. The ability to process and categorize them efficiently depends on the structure of your learning data and the clarity of patterns extracted.
What happens if the skill detects a common pattern across sessions?
If a common pattern is detected across sessions, the skill will propose an artifact (such as a rule, skill, or agent update) based on the frequency and relevance of that pattern. It will ask for your approval before finalizing the artifact creation.
What tools are required for using this skill?
The skill requires access to tools such as Read, Glob, Grep, Write, Edit, Bash, and AskUserQuestion. These tools allow the skill to interact with session files, extract relevant information, and ask for user confirmation when necessary.
Install compound-learnings
Quick Setup:
- Copy the skill folder to
.claude/skills/ - Claude will automatically detect and use the skill
Repository
parcadei/Continuous-Claude-v2