Integrate code search, knowledge queries, and known issue checks for task context.
npx skills add https://github.com/dmzoneill/skills --skill gather-context-dmzoneill
Please help me install this Agent Skill. Skill: gather-context Source: https://github.com/dmzoneill/skills/tree/main/gather-context Command: npx skills add https://github.com/dmzoneill/skills --skill gather-context-dmzoneill
This skill consolidates information from various sources like code search, knowledge bases, and known issues to provide comprehensive context for a given task.
Gather context for the query "fix login button bug" in the "webapp-frontend" project.
High-intent search queries and answers about installing and using this skill.
To gather context for a bug fix, you can integrate semantic code search, knowledge base queries, and known issue checks. This consolidates relevant code snippets, architectural patterns, and historical issues into a comprehensive background summary for the task.
Preparing task context for a Jira issue or code review involves consolidating information from code search, knowledge bases, and known issues. This provides comprehensive background information including relevant code snippets and project architecture details.
Yes, you can check for known issues before debugging by running a known issues check. This identifies if a similar issue has been encountered before with a specific tool, preventing duplicate work and leveraging past solutions.
Semantic code search retrieves relevant code snippets based on a natural language query. When combined with knowledge queries, it retrieves detailed information on project architecture, coding patterns, and potential gotchas for comprehensive task context.
Gathering task context does not require any specific external dependencies or components. It operates independently using integrated tools for code search, knowledge queries, and known issue checks to prepare background information.
You should avoid automated context gathering for tasks lacking a clear textual description, such as ambiguous feature requests or undocumented code reviews, because the semantic search and knowledge query tools rely on a defined query string to retrieve relevant information.
Datus-aiBuild vector-indexed knowledge bases from project files, database metadata, and validated SQL corpora.
databrickslabsGenerate step-by-step implementation plans with exact file paths, tests, and commit commands.
CyapstayeEnforce the Red-Green-Refactor cycle with failing tests before implementation.
sadie100Generate a Product Requirements Document from conversation context and codebase insights.
