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Autonomous multi-team codebase improvement agent with specialized modes: narrow (goal-directed), broad (hypothesis-divergent), and sweep (quality-focused).
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529 skills found
Autonomous multi-team codebase improvement agent with specialized modes: narrow (goal-directed), broad (hypothesis-divergent), and sweep (quality-focused).
Monitor project progress, analyze active tracks, and identify blockers within your development workspace.
Standardized Git workflow for pattern development, including rebase strategies, pull request creation, and upstream synchronization for collaborative community repository management.
End-to-end GitHub repository maintenance agent. Automates triage, PR review, issue analysis, and maintenance reporting to ensure long-term repository health, stability, and growth.
Foundational mental model and operational rules for using TraceMem to ensure secure, auditable, and compliant AI agent execution.
Automates the triage, prioritization, and feedback process for new MultiQC module requests by analyzing repository activity, community engagement, and technical feasibility.
Manage screenpipe pipes (AI-driven automations) and integrations via CLI. Create, run, schedule, and debug local agents to automate tasks based on your computer activity.
Create robust, scalable, and maintainable technical implementation plans for complex software projects.
Analyze AppWorld task failures to extract specific API patterns and generate actionable playbook bullets with concrete code examples.
Manage Jenkins CI/CD pipelines via REST API. Trigger builds, monitor job status, view console logs, and manage nodes and queues directly from your terminal or AI agent.
Manage Git worktrees for parallel feature development. Automates environment setup, branch hierarchy enforcement, and workspace cleanup based on Langstar's issue-driven workflow.
Automated LaTeX compilation, error diagnosis, and PDF verification pipeline for academic paper submissions.