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Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.
Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Ein direkter Befehl überspringt den Prüf-Prompt. Prüfen Sie die Quelle, bevor Sie ihn ausführen.
npx skills add https://github.com/agent-substrate/substrate --skill agents-mdDer Befehl bleibt in einer Zeile. Scrollen Sie horizontal, um ihn vor dem Kopieren vollständig zu prüfen.
Sie bevorzugen eine lokale Kopie? Laden Sie die Dateien herunter, die SkillsMP derzeit vorliegen.
Detects flaky Go tests by analyzing GitHub Actions workflow runs across the last 7 days and all PRs — covering both the run-tests job (unit/integration) and the e2e-test job (gVisor and microVM lanes). For each newly-detected flaky test or infra issue, opens a GitHub issue with full evidence and a draft fix PR. Does not touch BigQuery, dashboards, or any external storage — those are cron-job concerns layered on top.
Generates a security status report based on docs/threats.json by spinning up sub-agents for each threat to compute a quality score.
Reviews CRDs for compliance with Kubernetes API conventions.
Basierend auf der SOC-Berufsklassifikation
SKILL.md wird angezeigt
| name | agents-md |
| description | Generates or updates an AGENTS.md file |
Generate or update AGENTS.md files in key folders of the project. Ensure the target AGENTS.md file accurately reflects the current status of the code.
There must always be an AGENTS.md file in the project root. The AGENTS.md file at the root of the project may include the following sections:
AGENTS.md files in subfolders may be even more concise and specific to those subfolders.
To maximize agent performance and token efficiency, adhere to the following:
Each AGENTS.md should be short. Approx. 100-150 lines total. Link to a handful of relevant, focused reference documents in the same repo, as needed.
While only one AGENTS.md is allowed per folder, you can create an AGENTS.md file in any folder. Rather than putting everything in the root AGENTS.md, move highly specific advice to AGENTS.md in the most relevant folders of the project.
When documentation that would have helped you is missing, add references in the docs/ folder found at the project root. When these get out of date, update them.
When references describe workflows, the tasks should be described as numbered steps. For example:
When there are multiple ways of doing something in the codebase, use a decision table like the following:
| Question | Boop | Bop |
|---|---|---|
| Is foo a bar baz? | ✅ | |
| Is foo a quux? | ✅ |
If you think they are particularly good examples, include snippets from actual code in the repo, up to approx. 10 lines in length. These should only be the most relevant examples and representative of patterns that would be good to repeat in future code. Their purpose is to improve code reuse by agents, rather than each agent reinventing the wheel.
If you think it would help, you can include a few simple domain specific rules. Not too many, or agents will get stuck trying to handle too many rules. A general example of a domain specific rule is "Use a finance-specific numeric type for any financial calculations."
When adding warnings against doing something, also make a concrete suggestion for the correct approach. "Don't do X, do Y instead."