openclaw-skills/using-superpowers/SKILL.md
Use when starting any conversation - establishes how to find and use skills, requiring skill invocation before ANY response including clarifying questions
npx skillsauth add seaworld008/commonly-used-high-value-skills using-superpowersInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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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>
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.
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.
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. |
If your harness appears here, read its reference file for special instructions:
references/codex-tools.mdreferences/pi-tools.mdreferences/antigravity-tools.mdUser 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.
<!-- LOCAL-QUALITY-SUPPLEMENT:START -->This supplement is maintained by the repository sync pipeline. It keeps the imported upstream skill usable inside this curated collection when the upstream source is intentionally concise.
1. Confirm that the user's task matches the skill trigger.
2. Read the relevant project files or user-provided context before acting.
3. Choose the smallest reversible action that advances the task.
4. Run the verification command or manual check that proves the result.
5. Report the outcome, evidence, and any remaining risk.
development
Enumerating failure modes via pre-mortem analysis. Systematically identifies failure scenarios for plans, designs, and features, scoring them with RPN/AP. Does not write code.
testing
Orchestrating specialist AI agent teams as a meta-coordinator. Decomposes requests into minimum viable chains, spawns each as an independent session in AUTORUN modes, and drives to final output. Use when a task spans multiple specialist domains, requires parallel agent execution, or needs hub-and-spoke routing across the skill ecosystem.
development
Converting document formats (Markdown/Word/Excel/PDF/HTML). Converts specs from Scribe and reports from Harvest into distributable formats; generates reusable conversion scripts. Use when converting documents, building accessibility-compliant PDFs, or creating Pandoc/LibreOffice pipelines.
testing
Curating cross-agent knowledge and guarding institutional memory. Extracts patterns from agent journals into METAPATTERNS.md, detects knowledge decay, propagates best practices, prevents organizational forgetting. Use when consolidating cross-agent insights, curating memory, or auditing knowledge decay.