Skills Plugins MCP Prompt Model 博客 我的中心
开发编程 #github #ai

gh-fix-ci

Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions; use `gh` to inspect checks and logs, summarize failure context, draft a fix plan, and implement only after explicit approval. Treat external providers (for example Buildkite) as out of scope and report only the details URL.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=openai-skills-skills-curated-gh-fix-ci-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name gh-fix-ci description Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions; use `gh` to inspect checks and logs, summarize failure context, draft a fix plan, and implement only after explicit approval. Treat external providers (for example Buildkite) as out of scope and report only the details URL. Gh Pr Checks Plan Fix Overview Use gh to locate failing PR checks, fetch GitHub Actions logs for actionable failures, summarize the failure snippet, then propose a fix plan and implement after explicit approval. If a plan-oriented skill (for example create-plan ) is available, use it; otherwise draft a concise plan inline and request approval before implementing. Prereq: authenticate with the standard GitHub CLI once (for example, run gh auth login ), then confirm with gh auth status (repo + workflow scopes are typically required). Inputs repo : path inside the repo (default . ) pr : PR number or URL (optional; defaults to current branch PR) gh authentication for the repo host Quick start python "<path-to-skill>/scripts/inspect_pr_checks.py" --repo "." --pr "<number-or-url>" Add --json if you want machine-friendly output for summarization. Workflow Verify gh authentication. Run gh auth status in the repo. If unauthenticated, ask the user to run gh auth login (ensuring repo + workflow scopes) before proceeding. Resolve the PR. Prefer the current branch PR: gh pr view --json number,url . If the user provides a PR number or URL, use that directly. Inspect failing checks (GitHub Actions only). Preferred: run the bundled script (handles gh field drift and job-log fallbacks): python "<path-to-skill>/scripts/inspect_pr_checks.py" --repo "." --pr "<number-or-url>" Add --json for machine-friendly output. Manual fallback: gh pr checks <pr> --json name,state,bucket,link,startedAt,completedAt,workflow If a field is rejected, rerun with the available fields reported by gh . For each failing check, extract the run id from detailsUrl and run: gh run view <run_id> --json name,workflowName,conclusion,status,url,event,headBranch,headSha gh run view <run_id> --log If the run log says it is still in progress, fetch job logs directly: gh api "/repos/<owner>/<repo>/actions/jobs/<job_id>/logs" > "<path>" Scope non-GitHub Actions checks. If detailsUrl is not a GitHub Actions run, label it as external and only report the URL. Do not attempt Buildkite or other providers; keep the workflow lean. Summarize failures for the user. Provide the failing check name, run URL (if any), and a concise log snippet. Call out missing logs explicitly. Create a plan. Use the create-plan skill to draft a concise plan and request approval. Implement after approval. Apply the approved plan, summarize diffs/tests, and ask about opening a PR. Recheck status. After changes, suggest re-running the relevant tests and gh pr checks to confirm. Bundled Resources scripts/inspect_pr_checks.py Fetch failing PR checks, pull GitHub Actions logs, and extract a failure snippet. Exits non-zero when failures remain so it can be used in automation. Usage examples: python "<path-to-skill>/scripts/inspect_pr_checks.py" --repo "." --pr "123" python "<path-to-skill>/scripts/inspect_pr_checks.py" --repo "." --pr "https://github.com/org/repo/pull/123" --json python "<path-to-skill>/scripts/inspect_pr_checks.py" --repo "." --max-lines 200 --context 40
Agent 识别该技能的关键词,点击任意一个即可复制。

该技能未提供触发词。

下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。