using-superpowersUse when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
Install via ClawdBot CLI:
clawdbot install zlc000190/using-superpowersIf you think there is even a 1% chance a skill might apply to what you are doing, you ABSOLUTELY MUST invoke the skill.
IF A SKILL APPLIES TO YOUR TASK, YOU DO NOT HAVE A CHOICE. YOU MUST USE IT.
This is not negotiable. This is not optional. You cannot rationalize your way out of this.
In Claude Code: Use the Skill tool. When you invoke a skill, its content is loaded and presented to you—follow it directly. Never use the Read tool on skill files.
In other environments: Check your platform's documentation for how skills are loaded.
Invoke relevant or requested skills BEFORE any response or action. Even a 1% chance a skill might apply means that you should invoke the skill to check. If an invoked skill turns out to be wrong for the situation, you don't need to use it.
digraph skill_flow {
"User message received" [shape=doublecircle];
"Might any skill apply?" [shape=diamond];
"Invoke Skill tool" [shape=box];
"Announce: 'Using [skill] to [purpose]'" [shape=box];
"Has checklist?" [shape=diamond];
"Create TodoWrite todo per item" [shape=box];
"Follow skill exactly" [shape=box];
"Respond (including clarifications)" [shape=doublecircle];
"User message received" -> "Might any skill apply?";
"Might any skill apply?" -> "Invoke Skill tool" [label="yes, even 1%"];
"Might any skill apply?" -> "Respond (including clarifications)" [label="definitely not"];
"Invoke Skill tool" -> "Announce: 'Using [skill] to [purpose]'";
"Announce: 'Using [skill] to [purpose]'" -> "Has checklist?";
"Has checklist?" -> "Create TodoWrite todo per item" [label="yes"];
"Has checklist?" -> "Follow skill exactly" [label="no"];
"Create TodoWrite todo per item" -> "Follow skill exactly";
}
These thoughts mean STOP—you're rationalizing:
| Thought | Reality |
|---------|---------|
| "This is just a simple question" | Questions are tasks. Check for skills. |
| "I need more context first" | Skill check comes BEFORE clarifying questions. |
| "Let me explore the codebase first" | Skills tell you HOW to explore. Check first. |
| "I can check git/files quickly" | Files lack conversation context. Check for skills. |
| "Let me gather information first" | Skills tell you HOW to gather information. |
| "This doesn't need a formal skill" | If a skill exists, use it. |
| "I remember this skill" | Skills evolve. Read current version. |
| "This doesn't count as a task" | Action = task. Check for skills. |
| "The skill is overkill" | Simple things become complex. Use it. |
| "I'll just do this one thing first" | Check BEFORE doing anything. |
| "This feels productive" | Undisciplined action wastes time. Skills prevent this. |
| "I know what that means" | Knowing the concept ≠using the skill. Invoke it. |
When multiple skills could apply, use this order:
"Let's build X" → brainstorming first, then implementation skills.
"Fix this bug" → debugging first, then domain-specific skills.
Rigid (TDD, debugging): Follow exactly. Don't adapt away discipline.
Flexible (patterns): Adapt principles to context.
The skill itself tells you which.
Instructions say WHAT, not HOW. "Add X" or "Fix Y" doesn't mean skip workflows.
Generated Mar 1, 2026
AI agents handle initial customer inquiries by invoking skills to diagnose issues, follow troubleshooting checklists, and escalate complex cases. This ensures consistent, structured responses before any clarification, reducing response time and errors.
New developers use AI agents to learn coding workflows by invoking skills like debugging or TDD before writing code. This enforces best practices from day one, preventing ad-hoc approaches and improving code quality.
Medical professionals rely on AI agents to assist with patient assessments by invoking diagnostic skills to follow standardized protocols before asking follow-up questions. This minimizes oversight and ensures compliance with medical guidelines.
Financial analysts use AI agents to generate reports by invoking regulatory skills to check for compliance requirements before drafting documents. This reduces legal risks and ensures accuracy in financial disclosures.
AI tutors in online learning platforms invoke teaching skills to structure lessons and assessments before responding to student queries. This provides personalized, methodical guidance that adapts to learning styles.
Offer this skill as part of a monthly subscription for businesses to integrate into their customer service or development workflows. Revenue comes from tiered pricing based on usage volume and features, targeting SMEs seeking automation.
Provide expert services to customize and deploy this skill for large enterprises in regulated industries like finance or healthcare. Revenue is generated through project-based fees and ongoing support contracts.
License the skill technology to other software vendors who embed it into their own products, such as CRM or educational platforms. Revenue comes from upfront licensing fees and royalties based on user adoption.
💬 Integration Tip
Start by mapping common user tasks to relevant skills and enforce the invocation rule in all AI agent responses to build consistent workflows.
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