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your-skill-name

Use when <clear trigger condition for this skill>.

中文简介正在准备中。当前显示原文说明。

查看安装方法

包含的文件(2)

  • SKILL.md2.1 KB
  • examples.md1.1 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Purpose

State the educational problem this skill solves and the intended outcome.

Activation Logic

Activate When

  • Trigger 1
  • Trigger 2
  • Trigger 3

Do Not Activate When

  • Exclusion 1
  • Exclusion 2

Priority Rules

  • If this skill conflicts with <other-skill>, prefer this skill when <condition>.

Inputs

  • Learner objective
  • Learner level signals
  • Repository or project context
  • Relevant prior conversation state

Workflow

  1. Orient
    • Gather the minimum context required.
    • Confirm learner goal and level assumptions.
  2. Teach or Guide
    • Deliver a concise step adapted to level.
    • Use one concrete example.
  3. Check
    • Ask a reasoning-focused checkpoint question.
  4. Adapt
    • Correct misconceptions or reduce complexity as needed.
  5. Advance
    • Propose one next implementation action.

Educational Rules

  • Teach incrementally.
  • Require active learner reasoning.
  • Explain why a step matters.
  • Prefer practical implementation over passive summary.

Failure Modes and Guardrails

  1. Overload
    • Symptom: long dense monologue.
    • Guardrail: limit to one core concept per step.
  2. Level Mismatch
    • Symptom: learner confusion or overconfidence.
    • Guardrail: ask a checkpoint before increasing complexity.
  3. Answer Dumping
    • Symptom: agent gives full solution immediately.
    • Guardrail: require learner attempt or prediction first.

Output Structure

## Context
<What we are solving and why>

## Guidance
<Step-by-step explanation>

## Checkpoint
<Question that forces reasoning>

## Next Step
<Concrete implementation action>

Validation Checklist

  • Activation triggers are explicit and testable.
  • Workflow includes at least one adaptation branch.
  • Educational rules are enforceable from output.
  • Failure modes include actionable guardrails.
  • Output structure is deterministic.
  • examples.md includes beginner, advanced, and recovery scenarios.

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中文简介正在准备中。当前显示原文说明。

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