Organize project learnings and issue notes into a centralized knowledge base via qmd MCP server.
npx skills add https://github.com/jellydn/my-ai-tools --skill qmd-knowledge
Please help me install this Agent Skill. Skill: qmd-knowledge Source: https://github.com/jellydn/my-ai-tools/tree/main/skills/qmd-knowledge Command: npx skills add https://github.com/jellydn/my-ai-tools --skill qmd-knowledge
This Skill provides a centralized, AI-assisted knowledge base for projects by capturing learnings, issue notes, and conventions using the qmd MCP server, reducing context switching and information loss.
Install the qmd tool and this skill, then create a project knowledge base by running the skill's recording commands to populate your ~/.ai-knowledges/<project-name>/ and index content with qmd embed. For routine use, record learnings with the script and query with qmd MCP to surface relevant context.
High-intent search queries and answers about installing and using this skill.
To create a searchable knowledge base for project learnings, you can use this Skill to automatically capture and store decisions and notes into a centralized repository, then run qmd embed to index the content for fast retrieval.
The qmd MCP server indexes project knowledge by enforcing a structured storage model at ~/.ai-knowledges and running qmd embed after changes, ensuring the searchable index of learnings and issues stays up to date.
Yes, you can query project issue notes across different coding tools. This Skill operates across supported environments like Claude Code, OpenCode, and Amp to record and retrieve knowledge from your preferred tool.
Yes, you need the qmd tool installed as a dependency. This Skill relies on the qmd MCP server to automate the organization, embedding, and querying of your project's historical context and learnings.
The best way to organize AI-assisted project learnings is using a structured storage model at ~/.ai-knowledges, which automatically captures notes and conventions into a unified repository to prevent context switching and information loss.
You record key learnings after design decisions by running the Skill's recording commands to populate your project directory, then use the qmd MCP to instantly search and surface relevant historical context and related issues.
suwandreManage and search project knowledge with a qmd MCP-backed knowledge base.
kelpRoute and retrieve notes from a three-layer knowledge base using index-first search.
wiltaylorManage cloud agents via Warp's REST API and CLI.
Tommy-ywRead, search, and create notes in an Obsidian vault.
