Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Remember mistakes across sessions. Append one-liner learnings, review before complex tasks, promote important ones.
Remember mistakes across sessions. Append one-liner learnings, review before complex tasks, promote important ones.
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.
Log mistakes and insights so you don't repeat them across sessions.
Add a learning when you: Fix a bug caused by a wrong assumption Discover a project-specific convention (package manager, config, naming) Get corrected by the user Find a workaround for a tool/platform limitation Waste time on an approach that doesn't work here
Before starting a complex task, read learnings.md and apply anything relevant. Don't review for trivial one-line changes.
Periodically (or when the file exceeds ~50 entries): Delete entries that no longer apply (dependency upgraded, config changed) Merge duplicates into a single entry Promote critical entries that affect every session to a permanent location
Move persistent, high-impact learnings out of this file and into durable config: OpenClaw: Promote to workspace MEMORY.md, TOOLS.md, or AGENTS.md Claude Code: Promote to project CLAUDE.md or auto-memory (~/.claude/projects/*/memory/) Once promoted, delete the entry from learnings.md to avoid duplication.
No IDs, statuses, priorities, or tags. Just the one-liner. No hooks or scripts. This is a passive reference file. Append-only during a session. Clean up between sessions. If unsure whether something is worth logging, skip it. Only log what would save future time.
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.