本文へ移動
cccskills
無料GitHub で公開

github-manager

Use when configuring or optimising GitHub repositories for cost-effective, consistent operations — CI triggers, Actions billing, issue tracking, labelling, branch protection, or release workflow.

インストール方法を見る

含まれるファイル(1)

  • SKILL.md6.3 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

GitHub Manager

CI validates what cannot be cheaply verified locally. It is not a remote test runner for every commit.

This skill enforces disciplined, cost-aware GitHub operations. It turns GitHub from a free-for-all into a governed delivery surface: selective automation, traceable issues, consistent labels, and protected mainlines.

When to use

  • Setting up or revising a repository's CI/CD workflow
  • Investigating unexpected GitHub Actions spend
  • Creating or triaging issues and defining acceptance criteria
  • Designing a label taxonomy or branch-protection policy
  • Preparing a release process or tag strategy

Operating model context

This skill governs the GitHub surfaces that enforce the harness contract at the repository level. It is not general DevOps housekeeping — each procedure below maps to a harness invariant:

  • Branch protection + required status checks are the enforcement mechanism for the PR review gate and the exact-candidate binding rule. A CI check that passes on an unprotected branch is a claim; a passing check required by branch rules is evidence.
  • Receipts are delivery evidence. Both CI and an explicitly approved controlled runner must retain candidate/artifact-bound commands, results and provenance. A green label or local success claim alone does not establish release readiness.
  • Modifying branch protection, CI pipelines, or billing settings is an R2 action. These changes affect all contributors and shared infrastructure. Classify risk, confirm authority, and record the decision before any write.

Use release-readiness to gate a specific deployment. Use this skill to configure and audit the repository surfaces that make those gates trustworthy.

Procedure

1. Rightsize CI triggers

Resolve the approved release ADR and profile first. The following CI layout is the default recommendation; audit and configure the mode the team actually approved. Do not silently reinstate retired CI, substitute a runner during an outage, or treat local execution as equivalent without review of the required evidence.

  • Push to default branches should run lightweight gates only (lint, typecheck, unit tests).
  • Pull requests and version tags run the full pipeline, including packaging and cross-platform smoke tests.
  • Feature branches do not fire CI on every push; open a PR when ready for validation.
  • Path filters skip irrelevant jobs: docs-only changes should not rebuild the extension, code-only changes should not re-render documentation.

2. Minimise Actions billing

  • Know the runner multipliers: Linux ×1, Windows ×2, macOS ×10.
  • Gate expensive runners (macOS, Windows) behind PRs and releases, not every push.
  • Cache dependency stores (cache: 'pnpm', cache: 'npm', pip, etc.).
  • Do not run local-integration or exploratory tests in CI; keep them local or on-demand.
  • Set a spending limit and billing alert before usage surprises you.

3. Structure issues and tracking

  • Every issue states a problem or outcome and has acceptance criteria.
  • Link PRs to issues (Closes #123 or Refs #123).
  • Close issues with a concise note explaining what changed and where.
  • Use milestones or projects for release-scope tracking, not long-lived catch-all issues.

4. Label consistently

Adopt a namespaced taxonomy and avoid one-off labels:

NamespaceExamplesPurpose
kind/kind/bug, kind/feature, kind/docsType of work
area/area/ci, area/ui, area/securityComponent or domain
priority/priority/p0, priority/p1Triage urgency
status/status/blocked, status/needs-reviewWorkflow state

5. Protect the mainline

  • Require PR reviews before merging to main.
  • Require status checks to pass (lint, typecheck, test).
  • Use squash or rebase merges for a linear history; avoid merge commits unless the project explicitly allows them.
  • Restrict force-push and deletion on default branches.

6. Define the release workflow

  • In tag-ci mode, version tags trigger CI builds. Promotion needs its own evidence and release-owner approval boundary, even if the same tag starts that pipeline.
  • In approved-alternative mode, follow the ADR's trigger and controlled executor. Validate the same candidate/artifact, review, rollback and observation requirements.
  • Reconcile the effective pipeline with the profile; invoke release-manager and its structural contract check.
  • Verify version/changelog alignment and protect tags with tag rules, not merely branch protection. Neither a label nor a successful build authorises deployment.

Outputs

  • CI trigger matrix: event → jobs that run
  • Monthly Actions cost estimate with runner-multiplier breakdown
  • Issue template with acceptance criteria
  • Label taxonomy
  • Branch-protection policy
  • Release checklist

Guardrails

  • Local testing is not CI. If a check belongs on a developer's machine, do not run it on every push.
  • macOS minutes are the silent budget killer. A one-minute macOS job costs ten billable minutes.
  • Unconditional full pipelines scale badly. Every unconditional job is a tax on every future commit.
  • Labels without a taxonomy become noise. Delete or consolidate labels that do not fit the scheme.
  • Never substitute an unapproved build path. Reproducibility and provenance must be demonstrated for the declared executor, whether hosted or locally controlled.

Anti-rationalization table

ExcuseCounter
"Run everything on every push to be safe"Safety is selective gates, not redundant burn. Run full checks on PRs and tags.
"It's only a few CI minutes"At 10× for macOS, "a few minutes" becomes hundreds of dollars per cycle.
"We'll clean up labels later"Label debt compounds fast and breaks automation that depends on them.
"Force-push is fine, we're a small team"Force-push on main destroys recovery options. Protect the branch.
"I'll build the release artifact locally"The approved mode and evidence requirements decide whether that executor is allowed.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Google ADK (Agent Development Kit) orchestration patterns — boundaries, agent composition, and tool seams. Trigger when designing or reviewing multi-agent systems built on ADK. Authoritative source: adk.dev.

日本語の概要は準備中です。原文の説明を表示しています。

jpantsjoha/ai-native-developer-experience122026年10月13日 更新

JP's signature red-team pass — "how would I break this?" Argue against your own approach before proceeding. Trigger on any high-stakes decision, architecture choice, or before marking work complete.

日本語の概要は準備中です。原文の説明を表示しています。

jpantsjoha/ai-native-developer-experience122026年10月13日 更新

Read-only SRE checkup of any GCP project: deterministic probes of the edge, Cloud Run services, 7-day error logs, Cloud Scheduler, alert policies and uptime checks, Secret Manager and IAM, the data stores and the machine's own scheduled jobs, audited into one fixed status table (LIVE / WARNING / RED / INCONCLUSIVE) with evidence, findings by severity, what could not be checked, and a single OVERALL line delivered as one notification. Parametrised by a per-project manifest, so the same routine runs on every project. Use when the operator says "cloud checkup", "SRE check", "is everything live", "what's healthy / warning / red", "any errors this week", "audit the infra", "weekly checkup", "set up the weekly checkup", before a deploy or demo, or after an incident. Cloud Run first; App Engine and GKE differ only in the serving probes.

日本語の概要は準備中です。原文の説明を表示しています。

jpantsjoha/ai-native-developer-experience122026年10月13日 更新

Cloud guardrails for any vendor workload — Google Cloud (GCP, Vertex AI, GKE), AWS (IAM, EKS, Bedrock), Azure (Entra ID, Policy, AKS), Alibaba Cloud (RAM, mainland/international residency). Enforces identity least-privilege, mechanical policy, data boundaries, residency, cost caps, network egress and observability, with official-source validation before any claim. Trigger on any cloud infrastructure design, review, Terraform plan, or LLM/agent deployment; the-architect routes here.

日本語の概要は準備中です。原文の説明を表示しています。

jpantsjoha/ai-native-developer-experience122026年10月13日 更新

LLM and cloud cost awareness — model tiering, token budgets, right-sizing, and when a cheaper model suffices. Trigger before finalising any architecture that calls LLMs, before scaling a workload, or when a cost estimate is needed.

日本語の概要は準備中です。原文の説明を表示しています。

jpantsjoha/ai-native-developer-experience122026年10月13日 更新

Decompose an epic into atomic parallelizable tasks, route each to the right skill, and keep the four delivery records straight — issues, STATUS, ROADMAP, CHANGELOG. Use as a meta-router when several skills could apply, and as the baseline for how delivery state is recorded. Trigger at the start of any multi-track epic, when the skill count exceeds ~12, or when the records have drifted from reality.

日本語の概要は準備中です。原文の説明を表示しています。

jpantsjoha/ai-native-developer-experience122026年10月13日 更新

jpantsjoha のスキルをすべて見る

このスキルの問題を報告する