Triage GitHub issues and pull requests, classify their next steps, and connect active work to Linear. Keeps public updates in GitHub and internal ownership and priorities in Linear, with a clear recommendation for the next action.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Operate execution flow across GitHub and Linear by triaging issues and pull requests, linking active work, and keeping GitHub public-facing while Linear remains the internal execution layer. Use when the user wants backlog control, PR triage, or GitHub-to-Linear coordination.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
This skill turns disconnected GitHub issues, PRs, and Linear tasks into one execution flow.
Use it when the problem is coordination, not coding.
Gather:
Every item should end up in one of these states:
| State | Meaning |
|---|---|
| Merge | self-contained, policy-compliant, ready |
| Port/Rebuild | useful idea, but should be manually re-landed inside ECC |
| Close | wrong direction, stale, unsafe, or duplicated |
| Park | potentially useful, but not scheduled now |
Create or update Linear only if:
Do not mirror everything mechanically.
When work is active:
When work ships or is rejected:
Return:
PUBLIC STATUS
- issue / PR state
- CI / review state
CLASSIFICATION
- merge / port-rebuild / close / park
- one-paragraph rationale
LINEAR ACTION
- create / update / no Linear item needed
- project / lane if applicable
NEXT OPERATOR ACTION
- exact next move
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Design and audit interfaces for Web, iOS, and Android using WCAG 2.2 accessibility guidance. Check screen-reader labels, keyboard navigation, contrast, and control sizes to identify barriers and guide implementation for people using assistive technology.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Investigate unreliable AI agents across 12 layers, including instructions, memory, tool execution, and display. Use code and logs to trace failures, rank findings by severity, and produce an ordered repair plan that prioritizes code changes.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Compare coding agents on tasks from your own codebase. Define success checks, run agents in separate Git working directories, and report pass rates, available API costs, completion time, and consistency across repeated trials.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Design and refine an AI agent’s available actions, tool inputs, and result formats. Define recovery steps for errors, manage the information kept in context, and evaluate changes through completion rates, retries, and cost per successful task.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Diagnose failed AI agent runs by capturing errors, checking likely causes, and choosing small, reversible recovery actions. The workflow produces a structured report of the failure, recovery steps, and evidence, helping explain repeated retries or stalled progress.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Diagnose AI agent runs that fail repeatedly, loop through tools, or lose track of the task. Capture errors and environment details, test a focused recovery action, and produce a report explaining the evidence and outcome.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.