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.
将此请求复制给你的智能体,其中包含权威 Skill 页面和清单。
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.你的智能体仍应展示其计划,并按安全策略请求必要确认。
当 AI Agent、爬虫或脚本需要干净上下文,而不是读取完整页面时,请使用这些链接。
正在使用“diagnose-ci-failures”。 Diagnose the failures on pull request 42.
预期结果:
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.
预期结果:
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.
分享版本化评估报告、中性徽章、嵌入卡片和引用。Skillstore 只报告证据,不判断该 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许可证
MIT
Skillstore 修订
r1
版本提示
作者未声明版本。
引用
6e663c781098ffdba3ad66055d217e0dd327bd20
维护新鲜度
2026/9/18
使用量
0 次下载 · 0 次浏览
文件结构
📄 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.
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.
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.
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.
诊断生产错误
由 sickn33
生产错误可能很难跨日志、服务和告警进行追踪。此技能会指导结构化调查、根因分析和事故响应步骤。
调试错误和根本原因
由 89jobrien
当证据分散在日志、堆栈跟踪和服务中时,错误和事故很难分诊。此技能会结构化诊断、解析日志、识别模式,并指导最小化修复。
更快查找代码上下文
由 89jobrien
开发者常常花时间追踪代码为何存在以及哪些内容依赖它。此技能会提示 Claude、Codex 或 Claude Code 在进行更改前收集相关图谱知识、调用方、imports 和测试。
系统化调试软件问题
由 Asmayaseen
无结构的错误修复会浪费时间,并可能掩盖真正的故障。此技能会引导 Claude、Codex 和 Claude Code 进行基于证据的根因分析。
诊断 AI 智能体中的上下文退化
由 ChakshuGautam
长对话和大型提示可能会让 AI 智能体丢失重要信息,或遵循相互冲突的上下文。此技能可帮助 Claude、Codex 和 Claude Code 识别退化模式并选择缓解策略。
通过构建应用来教授编程
由 Emz1998
当示例与真实项目脱节时,学习编程可能会显得抽象。这个技能会在逐步构建可运行应用的过程中讲解概念。