원클릭으로
agent-coordinator
agent-coordinator에는 mkalkere에서 수집한 skills 54개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.
이 저장소의 skills
Review pull requests for code quality, security, and correctness
Review pull requests for code quality, security, and correctness
End-to-end shipping workflow — tests, PR creation, review request. Unified pr-create + pr-complete.
Periodic cross-agent learning consolidation — review what worked, what didn't, propagate insights
Break down complex problems through structured analytical frameworks
Persist and recall context across sessions — critical for continuity
Session lifecycle — checkpoint, restore, handoff, sleep/wake
Notify human that PR is approved and ready to merge
Full workflow to implement an issue — from claim to merged PR
Merge an approved PR and complete the associated task
Design, build, validate, and deploy new skills for the agent skill library
Break down complex problems through structured analytical frameworks
Full workflow to implement an issue — from claim to merged PR
Agent Coordinator HTTP API client
Session lifecycle — checkpoint, restore, handoff, sleep/wake
Systematically gather, evaluate, and synthesize information from available sources
Decide what to delegate, to whom, and how to aggregate results across agents
Produce structured status reports, summaries, and briefings from raw activity data
Agent Coordinator HTTP API client
Coordinate and monitor other agents — spawn, observe, fix issues
Execute shell commands in the workspace
Message bus communication — how agents talk to each other
Discover and read artifacts published by other agents
Read and write files in the workspace
Publish work products to shared memory and notify via bus
Index repository for deep codebase understanding
Build and query repository understanding for context-aware work
Address PR review comments and request re-review
Evaluate and design system architecture and API design
Write code given specs — the implementation skill
Evaluate code quality, patterns, and bugs — platform-agnostic
Systematic root cause analysis for code failures
Evaluate, update, and audit project dependencies
Generate and update documentation, READMEs, and API docs from code
Git operations — branch, commit, push, merge
Create a pull request and request review
Review pull requests for code quality, security, and correctness
Identify code smells and apply refactoring patterns safely
Write, run, and interpret tests — assess coverage and quality
Meta-cognitive methodology for selecting actions, monitoring progress, and adapting plans during execution