Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Socratic design refinement before coding. Use when user requests feature without clear spec.
Socratic design refinement before coding. Use when user requests feature without clear spec.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trigger BEFORE writing code when: User request is vague ("make it better", "add feature X") Complex feature with multiple approaches Design decisions impact multiple components
Ask clarifying questions: What problem are we solving? Who is the user? What's the success criteria? What constraints exist? (time, compatibility, dependencies)
Present 2-3 approaches: Approach A (simple): [description] Approach B (robust): [description] Approach C (future-proof): [description] For each: Pros, Cons, Complexity (1-5)
Pass design doc to writing-plans skill.
β Jump straight to implementation β Present only one approach β Skip edge case discussion β Forget to save design doc
User: "Add caching" Bad: I'll add Redis caching to the API. Good: Let me understand the requirements first: 1. What should be cached? (API responses, DB queries, computed results?) 2. What's the invalidation strategy? (TTL, event-based, manual?) 3. What's the acceptable staleness? (seconds, minutes, hours?) Based on your answers, I'll present 3 approaches with trade-offs.
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.