Complete methodology for preventing AI hallucinations. Use when accuracy is critical and you need Claude to verify before claiming, cite before asserting, and admit uncertainty instead of guessing.
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Core skill activation protocol - establishes mandatory workflows for finding and applying skills before any task
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
"If a skill exists for your task, you MUST use it. No exceptions. No rationalizations."
Skills encode proven solutions. Ignoring them means repeating solved problems.
Before ANY action, complete this mental checklist:
□ What skills might apply here?
□ Have I checked the skill registry?
□ Did I read the CURRENT version (not memory)?
□ Am I following it exactly?
If a relevant skill exists → USE IT.
"I'm using [Skill Name] to [what you're doing]."
If a skill has a checklist → Create todos for EACH item. Don't work through checklists mentally. Track them.
User says "Fix X" → That's the WHAT, not the HOW. Still follow brainstorming, TDD, verification workflows.
| Category | When to Use |
|---|---|
| Checkers | Before assumptions, before actions |
| Collaboration | Planning, brainstorming, executing plans |
| Debugging | When something's broken |
| Problem-Solving | When stuck |
| Testing | TDD, test design |
| Meta | Writing/improving skills |
Starting a feature → brainstorming → writing-plans → executing-plans
Something broken → systematic-debugging or root-cause-tracing
About to assume → assumption-checker
About to modify → pre-action-verifier
Claiming done → verification-before-completion
| Thought | Reality |
|---|---|
| "I remember this skill" | Skills evolve. Read current version. |
| "This doesn't need a skill" | If skill exists, use it. |
| "Let me just do this first" | Check skills BEFORE anything. |
| "This is simple" | Simple tasks become complex. Use skills. |
Before taking action, the checker agents validate:
assumption-checker → Are you guessing?context-validator → Do you have enough context?intent-clarifier → Is the request clear?pre-action-verifier → Are prerequisites met?fact-checker → Are your claims about code accurate?These checkers are strict mode - they halt and ask rather than proceeding.
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Complete methodology for preventing AI hallucinations. Use when accuracy is critical and you need Claude to verify before claiming, cite before asserting, and admit uncertainty instead of guessing.
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Transform rough ideas into solid designs through structured questioning
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Canvas API Connection Skill
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Forces every code-related claim to include file:line citations. No citation means the claim must be verified or removed. Use when building documentation, writing code reviews, or any output that others will rely on.
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Assign confidence scores (0-100) to every claim in a response. Helps users understand which parts are verified facts and which are educated guesses. Use when the user needs to know how much to trust each part of the answer.
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Forces Claude to extract exact quotes from files before making claims about them. Prevents hallucinations by grounding every statement in actual text from the codebase. Use when working with large files or unfamiliar code.
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