AgentSkillsCN

checkpoint

一种元认知决策支持工具,能够分析当前上下文,并为用户提供智能的下一步选项。当出现以下情况时可使用此技能:(1) 用户明确调用 /checkpoint;(2) 已完成大量工作,此时建立检查点意义重大;(3) 对需求或方案存在不确定性或模糊性;(4) 任务复杂度已超出初始范围;(5) 在最终定稿或提交前,确保万无一失。此技能会暂停执行,从整体上评估当前状况,并通过 AskUserQuestion 提供 2–5 个符合情境的选项,同时附上推荐选项及其理由。

SKILL.md
--- frontmatter
name: checkpoint
description: |
  Meta-cognitive decision support that analyzes current context and surfaces intelligent next-step options to the user. Use this skill when: (1) User explicitly invokes /checkpoint, (2) Significant work has been completed and a checkpoint is valuable, (3) Uncertainty or ambiguity exists about requirements or approach, (4) Task complexity has expanded beyond initial scope, (5) Before finalizing or committing to ensure nothing is missed. This skill pauses execution, assesses the situation holistically, and presents 2-5 contextually-appropriate options via AskUserQuestion, with a recommended option and rationale.

Checkpoint

Pause, assess, and surface intelligent next-step options to the user.

When to Trigger Proactively

Suggest this skill (without being asked) when detecting:

  • Completion signal: A feature, fix, or milestone just finished
  • Uncertainty signal: Requirements unclear, multiple valid paths, or low confidence in current direction
  • Complexity signal: Scope expanded, unexpected dependencies emerged, or task is taking longer than expected
  • Drift signal: Work may have diverged from user's original intent
  • Quality signal: Code works but may benefit from review, testing, or refactoring

Workflow

1. Context Assessment

Silently evaluate the current state across these dimensions (do not output this analysis):

  • Progress: What has been accomplished? What remains?
  • Quality: Is the work solid, or are there rough edges?
  • Alignment: Does recent work match what the user actually wants?
  • Uncertainty: What assumptions were made? What's unclear?
  • Risk: What could go wrong? What hasn't been tested?
  • Efficiency: Is there a better path forward?

2. Generate Options

Based on assessment, generate 2-5 contextually-appropriate options. Draw from (but don't limit to) these archetypes:

ArchetypeWhen Relevant
Commit progressMeaningful progress made, good stopping point
Systems auditComplex changes, potential for bugs or regressions
Prioritize/planMultiple pending tasks, unclear what matters most
Re-evaluate decisionsLow confidence in recent choices, new information available
Clarify with userAssumptions made, requirements ambiguous
Test/verifyCode works but edge cases untested
Refactor/clean upCode functional but messy
DocumentComplex logic that needs explanation
Step backMay be overcomplicating or missing simpler solution
Continue current pathClear next step, no reason to pause

Option generation principles:

  • Options should be meaningfully different, not variations of the same thing
  • Include at least one "continue forward" option when momentum is valuable
  • Include at least one "pause and verify" option when risk is present
  • Avoid analysis paralysis - fewer sharp options beat many vague ones

3. Select Recommendation

Choose one option as recommended. The recommendation should reflect:

  • What would a thoughtful senior engineer do here?
  • What reduces risk of wasted effort or rework?
  • What serves the user's underlying goals (not just stated requests)?

4. Present via AskUserQuestion

Use AskUserQuestion with this structure:

code
Question: "What would you like to do next?"
Header: "Next step" (or contextually appropriate 1-2 words)
Options: [generated options with descriptions]

Option format:

  • label: Action verb phrase (e.g., "Commit current progress", "Run systems audit")
  • description: 1 sentence explaining what this involves and why it might be valuable

Recommendation:

  • Place recommended option FIRST in the list
  • Append "(Recommended)" to its label
  • Include rationale in the description

Example Output

For a scenario where a feature was just implemented but with some shortcuts:

code
AskUserQuestion:
  question: "Feature implementation complete. What would you like to do next?"
  header: "Next step"
  options:
    - label: "Review and refactor (Recommended)"
      description: "Clean up the shortcuts taken during implementation before they become technical debt. The core logic works but could be more maintainable."
    - label: "Add test coverage"
      description: "Write tests for the new feature to catch edge cases and prevent regressions."
    - label: "Commit and move on"
      description: "The feature works - commit it and tackle the next task. Can refactor later if needed."
    - label: "Walk me through what was built"
      description: "Explain the implementation so you can verify it matches your expectations before proceeding."

Anti-Patterns

  • Don't overthink: This skill should take seconds, not minutes
  • Don't list every possible option: Curate the most valuable 2-5
  • Don't recommend "ask user" when the situation is clear: Have a point of view
  • Don't trigger too frequently: Reserve for genuine decision points, not every minor step
  • Don't explain the assessment process: Just present the options naturally