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Topic: rag

499 skills in this topic.

memory-recall Search and recall relevant memories from past sessions. Use when the user's question could benefit from historical context, past decisions, debugging notes, previous conversations, or project knowledge. Also use when you see '[memsearch] Memory available' hints.
zilliztech/memsearch 1,192
memory-recall Search and recall relevant memories from past sessions. Use when the user's question could benefit from historical context, past decisions, debugging notes, previous conversations, or project knowledge.
zilliztech/memsearch 1,192
memory-recall Search and recall relevant memories from past sessions. Use when the user's question could benefit from historical context, past decisions, debugging notes, previous conversations, or project knowledge.
zilliztech/memsearch 1,192
memory-recall Search and recall relevant memories from past sessions. Use when the user's question could benefit from historical context, past decisions, debugging notes, previous conversations, or project knowledge. Also use when you see '[memsearch] Memory available' hints.
zilliztech/memsearch 1,192
agentfield-multi-reasoner-builder Architect and ship a complete multi-agent backend system on AgentField from a one-line user request. Use when the user asks to build, scaffold, design, or ship an agent system, multi-agent pipeline, reasoner network, AgentField project, financial reviewer, research agent, compliance agent, or any LLM composition that should outperform LangChain/CrewAI/AutoGen — especially when they want a runnable Docker-compose stack and a working curl smoke test.
Agent-Field/agentfield 1,413
agentfield-multi-reasoner-builder Architect and ship a complete multi-agent backend system on AgentField from a one-line user request. Use when the user asks to build, scaffold, design, or ship an agent system, multi-agent pipeline, reasoner network, AgentField project, financial reviewer, research agent, compliance agent, or any LLM composition that should outperform LangChain/CrewAI/AutoGen — especially when they want a runnable Docker-compose stack and a working curl smoke test.
Agent-Field/agentfield 1,413
mind Claude Mind - Search and manage Claude's persistent memory stored in a single portable .mv2 file
memvid/claude-brain 355
memory Claude Mind - Search and manage Claude's persistent memory stored in a single portable .mv2 file
memvid/claude-brain 355
hipocampus-core 3-tier agent memory system with 5-level compaction tree. OpenCode version. Defines session start protocol, end-of-task checkpoints, and memory file management. MUST be followed every session.
kevin-hs-sohn/hipocampus 147
hipocampus-flush Manual memory flush: dump current session context to daily raw log via subagent. Invoke with /hipocampus:flush. Run hipocampus:compaction afterwards for tree propagation and qmd reindex.
kevin-hs-sohn/hipocampus 147
hipocampus-recall Memory recall guide. Structured retrieval from hipocampus memory — ROOT.md triage, manifest-based LLM selection, qmd search fallback.
kevin-hs-sohn/hipocampus 147
hipocampus-search Search memory using qmd (BM25 + optional vector) and compaction tree traversal. Use ROOT.md to decide whether to search memory or look externally. Always check memory before external lookups.
kevin-hs-sohn/hipocampus 147
hipocampus-core 3-tier agent memory system with 5-level compaction tree. Claude Code version. Defines session start protocol, end-of-task checkpoints, and memory file management. MUST be followed every session.
kevin-hs-sohn/hipocampus 147
hipocampus-core 3-tier agent memory system with 5-level compaction tree. OpenClaw version. Defines session start protocol, end-of-task checkpoints, and memory file management. MUST be followed every session.
kevin-hs-sohn/hipocampus 147
hipocampus-compaction Build 5-level compaction tree (daily/weekly/monthly/root) with smart thresholds and fixed/tentative lifecycle. Run at session start when triggers are met, or via external scheduler.
kevin-hs-sohn/hipocampus 147
prioritization Prioritization frameworks — RICE, WSJF, ICE, MoSCoW, and opportunity cost scoring for backlog ranking. Use when prioritizing features, comparing initiatives, justifying roadmap decisions, or evaluating trade-offs between competing work items.
yonatangross/orchestkit 143
issue-progress-tracking Auto-updates GitHub issues with commit progress. Use when starting work on an issue, tracking progress during implementation, or completing work with a PR.
yonatangross/orchestkit 143
figma-design-handoff Figma-to-code design handoff patterns including Figma Variables to design tokens pipeline, component spec extraction, Dev Mode inspection, Auto Layout to CSS Flexbox/Grid mapping, and visual regression with Applitools. Use when converting Figma designs to code, documenting component specs, setting up design-dev workflows, or comparing production UI against Figma designs.
yonatangross/orchestkit 143
web-research-workflow Unified decision tree for web research and competitive monitoring. Auto-selects WebFetch, Tavily, or agent-browser based on target site characteristics and available API keys. Includes competitor page tracking, snapshot diffing, and change alerting. Use when researching web content, scraping, extracting raw markdown, capturing documentation, or monitoring competitor changes.
yonatangross/orchestkit 143
release-management GitHub release workflow with semantic versioning, changelogs, and release automation using gh CLI. Use when creating releases, tagging versions, or publishing changelogs.
yonatangross/orchestkit 143
multi-surface-render Multi-surface rendering with json-render — same JSON spec produces React components, PDFs, emails, Remotion videos, OG images, and more. Covers renderer target selection, registry mapping, and platform-specific APIs (renderToBuffer, renderToStream, renderToFile). Use when generating output for multiple platforms, creating PDF reports, email templates, demo videos, or social media images from a single component spec.
yonatangross/orchestkit 143
vite-advanced Advanced Vite 8 patterns including Rolldown-powered builds, advancedChunks, Environment API, plugin development, SSR configuration, library mode, and build optimization. Use when customizing build pipelines, creating plugins, or configuring multi-environment builds.
yonatangross/orchestkit 143
checkpoint-resume Rate-limit-resilient pipeline with checkpoint/resume for long multi-phase sessions. Saves progress to .claude/pipeline-state.json after each phase. Use when starting a complex multi-phase task that risks hitting rate limits, when resuming an interrupted session, or when orchestrating work spanning commits, GitHub issues, and large file changes.
yonatangross/orchestkit 143
langgraph LangGraph 1.x (LTS) workflow patterns for state management, routing, parallel execution, supervisor-worker, tool calling, checkpointing, human-in-loop, streaming (v2 format), subgraphs, and functional API. Use when building LangGraph pipelines, multi-agent systems, or AI workflows.
yonatangross/orchestkit 143