MemGPT virtual context — OS virtual-memory analogy for LLM context management. Two-tier (main context = RAM, external store = disk), page-in/page-out tools, archival/core memory…
Build against the memories.sh SDK packages in application code. Use when working with `@memories.sh/core` or `@memories.sh/ai-sdk`, including: (1) Initializing `MemoriesC — from…
Builds the shared HTTP cross-encoder sidecar skill at .opencode/skills/system-rerank-sidecar/. FastAPI service backed by Qwen3-Reranker-0.6B with sigmoid normalization,…
Configure and manage Claude Code persistent memory (CLAUDE.md, auto memory, rules) across sessions. Use when setting up project memory, organizing .claude/rules/, managing auto…
Use to maintain persistent context across agent sessions — decision logs, architecture memory, and constraint tracking.
Five-layer memory architecture: where each fact lives, how layers interact, when to promote learnings
High-performance temporary storage system using Redis. Supports namespaced keys (mema:*), TTL management, and session context caching.
Synthesize GitHub delivery context into a concise Basic Memory project update. Use in CI after `bm ci collect` prepares a ProjectUpdateContext; return only structured…
Allocate memory in PostgreSQL backend C — pick the right MemoryContext and use palloc / palloc0 / pstrdup / psprintf correctly.
Use when the user is debugging a bug, tracing an error, or asking why something fails. Examples: "why is X failing?", "where does this error come from?", "trace this bug" — from…
Architecture de mémoire pour agents IA — short-term, long-term, episodic, semantic, working memory. Se déclenche avec "mémoire agent", "agent memory", "long-term memory" — from…
Use when the user asks how code works, wants to understand architecture, trace execution flows, or explore unfamiliar parts of the codebase.
Debug with working memory -- before diagnosing, recall prior root causes and known-good diagnostic procedures; when a root cause is confirmed, capture it immediately.
Architecture/design decisions with working memory -- before recommending, recall prior decisions and tradeoffs; when a decision is made, capture it immediately.
Pre-refactor context loading -- queries Pensyve memory for past decisions, failures, and patterns related to a refactoring target, then compiles a briefing.
Transform validated knowledge into structured long-term memory. Activate after Bootstrap scan, after Discovery produces validated artefacts, or after architecture insights are…
Diagnoses and resolves memory leaks in JavaScript/Node.js applications. Use when a user reports high memory usage, OOM errors, or wants to analyze heapsnapshots or run memory leak…
Node.js memory leak detection and heap profiling. node-memwatch heap diffing, V8 heap snapshots, GC event monitoring, heap growth trending, and leak remediation patterns.
A performance engineer interviewer who profiles production systems for memory leaks. Use this agent when you want to practice diagnosing memory growth patterns in Java or Python…
Manage mandatory PostgreSQL memory operations with context retrieval, prompt logging, delegation tracking, and audit event recording using Memory_openclaw an...
Memory Profiler Setup - Auto-activating skill for Performance Testing. Triggers on: memory profiler setup, memory profiler setup Part of the Performance Testing skill category.
Use when the user wants to rename, extract, split, move, or restructure code safely. Examples: "rename this function", "extract this into a module", "split this class", " — from…
CRITICAL: Use for managing agent memory based on CoALA cognitive architecture. Triggers on: remember this, 记住这个, save this info, learn from this, 学习这个, memory system, 记忆系统,…
Memory architecture derived from D-ND axioms. Manages persistent memory across sessions using the P6 principle — memory as recognition of belonging, not storage of facts.
Design short-term, long-term, and graph-based memory architectures. Use when building agents that must persist across sessions, needing to maintain entity consistency acr — from…
Design short-term, long-term, and graph-based memory architectures. Use when building agents that must persist across sessions, needing to maintain entity consistency acr — from…
Design and implement memory architectures for agent systems. Use when building agents that need to persist state across sessions, maintain entity consistency, or reason o — from…
Design and implement memory architectures for agent systems. Use when building agents that need to persist state across sessions, maintain entity consistency, or reason o — from…
Design and implement memory architectures for agent systems. Use when building agents that need to persist state across sessions, maintain entity consistency, or reason o — from…
Design short-term, long-term, and graph-based memory architectures. Use when building agents that must persist across sessions, needing to maintain entity consistency acr — from…
Profile the memory usage of a Python script using memray and visualize a temporal flamegraph in the browser.
Use to declare a structural intent BEFORE editing in a fleet — what symbols you'll touch and why — so other agents on your branch coordinate around you.
Design event-driven architectures using Fran Méndez's "AsyncAPI" philosophy. Emphasizes Event-First design, treating message contracts with the same rigor as REST (AsyncAPI spec),…
Use when a task needs the judgment of a Mental Health and Substance Abuse Social Worker — routing a co-occurring client to integrated vs.
Composite skill — one-call answer to "merge this?", "ship this?", "ready for merge?". Chains: pr-merge-readiness (verdict) → ci-watch/gh-fix-ci/gh-address-comments (resolve…
Use when combining multiple OpenAPI specs, or have microservices with separate spec files
Reference for merge-train automation internals -- workflows, scripts, CI integration, and configuration. Use when modifying or debugging merge-train infrastructure.
Use when the user wants to push, publish, pause, kill, scale, duplicate, activate, lookalike, retarget, or set up paid ads on Meta, TikTok, Google Ads, Amazon, Reddit, LinkedIn,…
Maintains Mermaid diagrams and config. Use when creating, editing, reviewing, theming, or debugging Mermaid flowcharts, sequence/ER/Gantt diagrams, dark themes, themeVariables,…
Create Mermaid diagrams in Obsidian including flowcharts, sequence diagrams, class diagrams, and more.
Comprehensive guide for creating software diagrams using Mermaid syntax. Use when users need to create, visualize, or document software through diagrams including class diagrams…
Create Mermaid diagrams for flowcharts, sequences, ERDs, and architectures. Masters syntax for all diagram types and styling.
USE WHEN the user wants to draw an architecture diagram, sequence diagram, flowchart, ER diagram, or state machine.
Generates, reviews, and fixes Mermaid-only sequence diagrams following syntax rules and best practices.
Expert Mermaid diagram creation, validation, and rendering with dual-engine output (SVG/PNG/ASCII). Supports all 20+ diagram types including C4 architecture, AWS architecture-beta…
Transform text content into professional Mermaid diagrams for presentations and documentation. Use when users ask to visualize concepts, create flowcharts, or make diagrams from…
Self-hosted semantic memory for AI agents via MCP. Save worklogs, decisions, and notes, then recall them across sessions by meaning, not keyword.
Use when implementing Lightning Message Service (LMS) to enable cross-DOM communication between LWC, Aura, and Visualforce components on the same Lightning page, using message…
Message queue patterns — RabbitMQ, Redis Streams, SQS. Task queues, pub/sub, dead letter queues, retry logic
Architecture de messaging avec RabbitMQ, Kafka, Azure Service Bus. Se déclenche avec "message queue", "RabbitMQ", "Kafka", "queue", "messaging", "async", "pub/sub", "brok — from…
Design message queue architectures. TRIGGERS - Use when user needs help with message-queue-design related tasks.
Async message queue and event streaming patterns — AWS SQS/SNS, Kafka, RabbitMQ. Covers producer/consumer design, idempotency, dead-letter queues, fan-out, ordering guarantees,…
RabbitMQ, Kafka, SQS, pub/sub, competing consumers, dead letter queues, and event streaming
A Lead Data Engineer interviewer evaluating asynchronous messaging. Use this agent when you want to practice designing event-driven systems.
Central message routing for Photino.NET: {type,payload} format, HandleMessage dispatch, Send helper, event wiring, Svelte 5 component patterns, IAsyncDisposable in sync contexts.
Use when shaping the primary message, supporting proofs, and audience-by-message matrix from a locked positioning frame — before any copy or launch beat.
Guide for writing and improving Claude Code skills. Use when creating new skills, debugging why skills aren't activating, or improving skill descriptions and structure.
Use when creating forest plots for meta-analyses, visualizing effect sizes across studies, or generating publication-ready meta-analysis figures.
Use when writing, editing, debugging or reviewing a Claude Code hook - picking a hook event, writing a matcher, choosing a command/http/mcp_tool/prompt/agent handler, working out…
Readable functional patterns — orchestrators, pure functions, named abstractions