Extract non-obvious learning insights from conversations into reusable skill units.
npx skills add https://github.com/sehoon787/my-claude --skill learner-sehoon787
Please help me install this Agent Skill. Skill: learner Source: https://github.com/sehoon787/my-claude/tree/main/skills/omc/learner Command: npx skills add https://github.com/sehoon787/my-claude --skill learner-sehoon787
Extracting meaningful, non-obvious learning insights from conversations and project exploration to create reusable guidance for AI-led workflows and developer collaboration.
Identify a concrete, non-obvious learning insight from this conversation and save it as a learner skill using the /oh-my-claudecode workflow.
High-intent search queries and answers about installing and using this skill.
Capture non-obvious learning insights by identifying concrete problem statements, step-by-step solutions, and triggers from your conversation to create validated, repository-ready skill units for knowledge management.
The best way to create a validated skill unit is to formalize debugging efforts into a structured format containing the problem statement, proposed solution, triggers, and validation checks to ensure repository-ready knowledge management.
Yes, you can build a project-level skill library because the extraction process formats captured insights into repository-ready outputs, allowing direct storage of validated skill units into project repositories or personal workspaces.
You need to formalize conversation insights into decision-making heuristics when developers or AI agents require principled thinking to handle recurring tasks, ensuring captured knowledge triggers apply consistently across multiple scenarios.
Yes, skill extraction works for codebase exploration by capturing high-signal learnings that require debugging effort, applying validation guidelines to ensure the structured knowledge is non-trivial and reusable across workflows.
Structured capture enforces a problem statement, proposed solution, triggers, and validation checks, ensuring your knowledge management produces high-quality, reusable guidance rather than fragmented or unvalidated plain notes.
blake-goodwynGuide structured interviews to surface non-obvious requirements and refine specs.
mozilla-aiQuery, propose, and confirm knowledge units in a shared SQLite store.
mazenyassergithubConfigure oh-my-claudecode for a local project by creating a `.claude` directory and downloading `CLAUDE.md` from GitHub.
Moliboy5000Extract reusable skills and decision-making heuristics from conversational context.
