Use when starting any conversation - establishes how to find and use skills, requiring skill invocation before ANY response including clarifying questions
git clone https://github.com/obra/superpowers.git--- name: using-superpowers description: Use when starting any conversation - establishes how to find and use skills, requiring skill invocation before ANY response including clarifying questions --- <SUBAGENT-STOP> If you were dispatched as a subagent to execute a specific task, ignore this skill. </SUBAGENT-STOP> <EXTREMELY-IMPORTANT> If 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. You cannot rationalize your way out of this. </EXTREMELY-IMPORTANT> ## The Rule **Invoke relevant or requested skills BEFORE any response or action** — including clarifying questions, exploring the codebase, or checking files. If it turns out wrong for the situation, you don't have to use it. **Before entering plan mode:** if you haven't already brainstormed, invoke the brainstorming skill first. Then announce "Using [skill] to [purpose]" and follow the skill exactly. If it has a checklist, create a todo per item. ## Skill Priority When multiple skills apply, process skills come first — they set the approach, then implementation skills (frontend-design, etc.) carry it out. Brainstorming and systematic-debugging are Superpowers' most common process skills, but the rule holds for any of them. - "Let's build X" → superpowers:brainstorming first, then implementation skills. - "Fix this bug" → superpowers:systematic-debugging first, then domain skills. ## Red Flags 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. | ## Platform Adaptation If your harness appears here, read its reference file for special instructions: - Codex: `references/codex-tools.md` - Pi: `references/pi-tools.md` - Antigravity: `references/antigravity-tools.md` ## User Instructions User instructions (CLAUDE.md, AGENTS.md, GEMINI.md, etc, direct requests) take precedence over skills, which in turn override default behavior. Only skip skill workflows or instructions when your human partner has explicitly told you to.
1. **Start with a skill invocation**: Before answering any question, explicitly invoke the relevant skill(s) using the format: 'Using [SKILL_NAME], [SKILL_PURPOSE].' For example, 'Using data-analysis, identify trends in [DATASET].' 2. **Confirm skill selection**: If unsure which skill to use, first ask the user: 'Which skill should I use to answer [USER_QUESTION]?' and wait for their confirmation before proceeding. This ensures alignment with their expectations. 3. **Iterate for clarity**: If the user’s response is vague (e.g., 'Just use your best judgment'), prompt them to specify: 'Should I use [SKILL_A] or [SKILL_B] for this task?' to avoid assumptions. 4. **Use placeholders for customization**: Replace [PLACEHOLDERS] in the prompt template with specific details from the user’s request to tailor the response. For example, swap '[USER_QUESTION]' with their actual query. 5. **Validate with examples**: Test the skill invocation by asking the AI to perform a simple task first (e.g., 'Using summarization, condense this paragraph into one sentence.') to ensure the skill is correctly triggered before tackling complex queries.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/obra/superpowers/tree/main/skills/using-superpowersCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Before answering [USER_QUESTION], invoke the relevant skill(s) using the format: 'Using [SKILL_NAME], [SKILL_PURPOSE].' If unsure which skill to use, first ask: 'Which skill should I use to answer [USER_QUESTION]?' and wait for confirmation before proceeding. Example: 'Using summarization, condense this article into 3 bullet points.'
User: 'Explain how blockchain works and its real-world applications.' AI: 'Which skill should I use to answer this question?' User: 'Use explanation-skills.' AI: 'Using explanation-skills, break down blockchain technology and its applications.' Blockchain is a decentralized digital ledger that records transactions across many computers in a way that ensures security and transparency. It operates on three core principles: 1) **Decentralization**: No single entity controls the data; instead, it’s distributed across a network of nodes. For example, Bitcoin’s blockchain is maintained by thousands of independent miners. 2) **Immutability**: Once data is recorded, it cannot be altered without consensus from the network. This makes fraud nearly impossible—each block is cryptographically linked to the previous one. 3) **Transparency**: All participants can view the ledger, though identities may be pseudonymous. Real-world applications include: - **Supply Chain Tracking**: Walmart uses blockchain to trace food products from farm to shelf in seconds, reducing contamination risks. A recent audit found a 93% reduction in time spent verifying produce origins. - **Smart Contracts**: Ethereum’s blockchain enables self-executing contracts, like automated insurance payouts for flight delays. In 2023, a European airline saved €2.1M by integrating blockchain-based delay compensation. - **Voting Systems**: Estonia’s e-voting platform uses blockchain to ensure tamper-proof elections. In 2024, pilot tests showed a 40% increase in voter turnout among expatriates. Would you like a deeper dive into any of these applications?
skills-collection
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