From light-mem
Build and query AI-powered knowledge bases from light-mem observations. Use when users want to create focused "brains" from their observation history, ask questions about past work patterns, or compile expertise on specific topics.
How this skill is triggered — by the user, by Claude, or both
Slash command
/light-mem:knowledge-agentThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Build and query AI-powered knowledge bases from light-mem observations.
Build and query AI-powered knowledge bases from light-mem observations.
Knowledge agents are filtered corpora of observations compiled into a conversational AI session. Build a corpus from your observation history, prime it (loads the knowledge into an AI session), then ask it questions conversationally.
Think of them as custom "brains": "everything about hooks", "all decisions from the last month", "all bugfixes for the worker service".
build_corpus name="hooks-expertise" description="Everything about the hooks lifecycle" project="light-mem" concepts="hooks" limit=500
Filter options:
project — filter by project nametypes — comma-separated: decision, bugfix, feature, refactor, discovery, changeconcepts — comma-separated concept tagsfiles — comma-separated file paths (prefix match)query — semantic search querydateStart / dateEnd — ISO date rangelimit — max observations (default 500)prime_corpus name="hooks-expertise"
This creates an AI session loaded with all the corpus knowledge. Takes a moment for large corpora.
query_corpus name="hooks-expertise" question="What are the 5 lifecycle hooks and when does each fire?"
The knowledge agent answers from its corpus. Follow-up questions maintain context.
list_corpora
Shows all corpora with stats and priming status.
rebuild_corpus name="hooks-expertise"
After rebuilding, reprime to load the updated knowledge:
reprime_corpus name="hooks-expertise"
Clears prior Q&A context and reloads the corpus into a new session.
npx claudepluginhub devestacion/light-mem --plugin light-memGuides reception of code review feedback: verify before implementing, avoid performative agreement, push back with technical reasoning when needed.
Design banners for social media, ads, website heroes, and print with multiple art direction options and AI-generated visuals.