council
78Compare Decisions with an AI Council
Complex decisions can suffer from narrow analysis and hidden assumptions. This skill coordinates diverse agents, compares their evidence, and produces one actionable recommendation.
Diagnose CI Failures Faster
CI failures can hide the first useful error among checks, logs, and repeated noise. This skill gathers relevant GitHub evidence and produces a prioritized plan for repair.
將此請求複製給你的智慧代理,其中包含權威 Skill 頁面和清單。
Review the Skillstore skill "diagnose-ci-failures" from https://skillstore.io/skills/warpdotdev-diagnose-ci-failures.md and its manifest at https://skillstore.io/api/skills/warpdotdev-diagnose-ci-failures/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.你的智慧代理仍應顯示其計畫,並依安全政策請求必要確認。
當 AI Agent、爬蟲或腳本需要乾淨脈絡、而不是讀取完整頁面時,請使用這些連結。
正在使用「diagnose-ci-failures」。 Diagnose the failures on pull request 42.
預期結果:
The Linux test job fails first because a fixture is missing. Formatting and downstream build checks may be secondary failures. Recommended order: restore the fixture, rerun tests, then address formatting.
正在使用「diagnose-ci-failures」。 Compare the failed macOS and Linux checks.
預期結果:
All 25 static detections are false positives: the reported backticks occur in Markdown examples, inline code formatting, or command references. The available evidence shows no executed command, injected input, data exfiltration, or prompt-injection content.
分享版本化評估報告、中性徽章、嵌入卡片與引用。Skillstore 只報告證據,不判斷該 Skill 是否安全。
https://skillstore.io/skills/warpdotdev-diagnose-ci-failures/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/warpdotdev-diagnose-ci-failures?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/warpdotdev-diagnose-ci-failures?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/warpdotdev-diagnose-ci-failures/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/warpdotdev-diagnose-ci-failures.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>warpdotdev. (2026). diagnose-ci-failures security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/warpdotdev-diagnose-ci-failures/audits/1@techreport{warpdotdev-warpdotdev-diagnose-ci-failures-2026,
author = {warpdotdev},
title = {diagnose-ci-failures security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/warpdotdev-diagnose-ci-failures/audits/1},
note = {Author version unspecified}
}cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "diagnose-ci-failures security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "warpdotdev"
date-released: "2026-09-18"
url: "https://skillstore.io/skills/warpdotdev-diagnose-ci-failures/audits/1"
identifiers:
- type: other
value: "skillstore:warpdotdev-diagnose-ci-failures:audit:1"
description: "Skillstore immutable audit report identifier"
Review failing checks on an active pull request and isolate the earliest actionable error.
Convert noisy CI output into a prioritized plan that another engineer can implement.
Compare platform-specific checks and identify whether formatting, tests, builds, or tooling cause the failure.
Inspect the CI status for pull request <number> in <owner>/<repo>. Summarize failed checks and the first useful error for each.
For pull request <number>, retrieve the relevant failed job logs, remove repeated noise, and explain the likely cause in plain language.
Analyze all failed checks for pull request <number>. Group related failures, rank them by likely root cause, and create a step-by-step repair plan with verification commands.
Investigate pull request <number> across macOS, Linux, and Windows checks. Distinguish shared root causes from platform-specific issues and cite the evidence for each conclusion.
作者
warpdotdev授權
MIT
Skillstore 修訂
r1
版本提示
作者未聲明版本。
引用
6e663c781098ffdba3ad66055d217e0dd327bd20
維護新鮮度
2026/9/18
使用量
0 次下載 · 0 次瀏覽
檔案結構
📄 SKILL.md
Compare Decisions with an AI Council
Complex decisions can suffer from narrow analysis and hidden assumptions. This skill coordinates diverse agents, compares their evidence, and produces one actionable recommendation.
Plan Features With Living Specs
Substantial feature work can become ambiguous when product intent, technical decisions, and implementation drift apart. This skill guides agents through practical product and technical specifications that stay aligned with shipped work.
Migrate Workflows to Factory
Moving an existing agent workflow into Factory can create duplicate roles, broken paths, or conflicting handoffs. This skill guides a focused migration into an existing Factory repository and validates the resulting configuration.
Resolve Pull Request Feedback Safely
Pull request feedback can be difficult to track, implement, and answer consistently. This skill guides each decision, validates accepted changes, and previews GitHub responses before posting.
Write Clear Product Specifications
Turn ambiguous feature requests into structured product specifications that align design, engineering, and review. This skill defines user-visible behavior, scope, references, open questions, and handoff details in a consistent PRODUCT.md format.
Delegate Broad Codebase Research
Large investigations can flood the primary agent context with irrelevant files and logs. This skill delegates read-only research and returns concise conclusions with cited evidence.
安全地操作本機專案堆疊
由 ACSKamloops
當記錄、服務與設定變更未依順序處理時,本機開發堆疊可能很難除錯。此技能會引導 Claude、Codex 和 Claude Code 先檢查證據,並說明安全的操作步驟。
診斷生產環境錯誤
由 sickn33
生產環境錯誤可能很難在日誌、服務與警示之間追蹤。此技能會引導結構化調查、根本原因分析,以及事件回應步驟。
偵錯錯誤與根本原因
由 89jobrien
當證據分散在日誌、堆疊追蹤與服務之間時,錯誤和事件很難分流判斷。此技能會結構化診斷流程、解析日誌、識別模式,並引導最小修復。
更快找到程式碼脈絡
由 89jobrien
開發人員經常耗費時間追查程式碼為何存在,以及有哪些內容依賴它。這個技能會提示 Claude、Codex 或 Claude Code 在變更前收集相關圖譜知識、呼叫者、匯入項目和測試。
有系統地偵錯軟體問題
由 Asmayaseen
缺乏結構的錯誤修復會浪費時間,並可能掩蓋真正的失敗原因。此技能會引導 Claude、Codex 和 Claude Code 進行以證據為基礎的根本原因分析。
診斷 AI 代理中的上下文退化
由 ChakshuGautam
長對話和大型提示可能會讓 AI 代理遺失重要資訊,或遵循互相衝突的上下文。此技能可協助 Claude、Codex 和 Claude Code 識別退化模式並選擇緩解策略。