Create a reusable command with explicit preconditions, numbered actions, checks after each step, and error handling. This template provides a structure to customize so Claude verifies the required context before starting a defined workflow.
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Template for commands that implement a structured recipe: validate preconditions, then execute numbered steps. Fork this and replace the placeholder content. The 'Context Validation Checkpoints' section is the key pattern, forcing Claude to verify preconditions before starting.
安装前可以查看交给 AI 代理的指令内容。
This is a template. Replace all
[placeholder]content with your specifics.
Before executing any step, verify all of these are true. If any checkpoint fails, stop and explain why to the user.
[Clear instructions for this step. Be specific about what to read, what to check, what to write.]
Validation: [How Claude verifies this step completed correctly before moving to Step 2]
[Instructions]
Validation: [How to verify]
[Instructions]
Validation: [How to verify]
Summarize what was done:
| Situation | Response |
|---|---|
| [Error condition 1] | [What to do: retry / stop / ask user] |
| [Error condition 2] | [What to do] |
| Precondition checkpoint fails | Stop. Explain which checkpoint failed and what the user needs to fix before re-running |
If $ARGUMENTS[0] was provided: [how to use it]
If no argument was provided: [default behavior]
The "Context Validation Checkpoints" section is the key pattern from this template. It forces Claude to verify preconditions explicitly rather than discovering failures mid-execution. Inspired by recurring patterns in Packmind commands (Apache 2.0).
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Audit Claude Code agents, skills, and commands for quality and production readiness. Use when evaluating skill quality, checking production readiness scores, or comparing agents against best-practice templates.
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Assess a codebase across seven areas, including exposed credentials, security, dependencies, structure, and tests. Receive category scores, findings tied to file locations, and a prioritized improvement plan with smaller tasks that can be completed quickly.
中文简介正在准备中。当前显示英语简介。
Measure code patterns such as casts to any or disabled lint rules, then run repeated, targeted edits. Keep changes that improve the chosen metric, revert unsuccessful changes, and track results for each improvement loop.
中文简介正在准备中。当前显示英语简介。
Generate several separate solutions, compare them against criteria fixed in advance, and verify the selected result through executable checks or an independent reviewer. Keep a proof log documenting candidates, evidence, failures, and remaining limits.
中文简介正在准备中。当前显示英语简介。
Post-deploy monitoring: watch production after a deploy and alert on regressions
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Restore context after /clear by summarizing recent work and project state
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