Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Enforce proactive, query-optimized memory_search usage. Must run memory_search when (1) prior context is referenced, (2) a new task starts, or (3) a proper n...
Enforce proactive, query-optimized memory_search usage. Must run memory_search when (1) prior context is referenced, (2) a new task starts, or (3) a proper n...
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.
T1 Prior context: user references previous decisions, agreements, or history (e.g., βwe decided this beforeβ). T2 New task: before starting a new topic/task, check prior preferences/decisions. T3 Proper noun: project, tool, service, or person name appears. If unsure, search. Missed context costs more than one extra search. If multiple triggers fire, run separate searches per trigger.
Split intent β break search intent into 2β3 independent angles. Do not overpack one query. Extract core tokens β keep only 2β3 key nouns per angle; prioritize proper nouns. Run multi-query β call memory_search per angle, with 2β4 tokens per query. Merge results β if all are empty, retry once with a single key proper noun.
T1 βWe changed to keep iCloud downloads before, right?β β memory_search("user preference root-cause config first suggestion keep iCloud downloads") β memory_search("iCloud download setting") + memory_search("problem-solving preference") T1 βDidnβt we plan to migrate to a better structure first?β β memory_search("better structure migration FTS path title RRF exact tie-break") β memory_search("FTS structure migration") + memory_search("RRF tie-break design") T2 βLetβs start Paddle payment integration.β β no memory_search β memory_search("Paddle payment") + memory_search("payment integration decision") T3 βOpenClaw search quality is still poor.β β memory_search("OpenClaw search quality is still poor") β memory_search("OpenClaw search") + memory_search("search quality tuning") T1+T3 βWhat happened after switching to bge-m3?β β memory_search("what happened after switching to bge-m3") β memory_search("bge-m3 migration result") + memory_search("embedding model change") T2 βSet up the new project documentation structure.β β no memory_search β memory_search("documentation structure preference") + memory_search("project template")
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