Browse skills

Distill Memory condenses lengthy texts into key insights and summaries, saving you time and boosting comprehension.

Quickly retrieves relevant information from past interactions and knowledge bases to inform current actions.

Atxp Memory enhances recall by providing contextualized information retrieval, boosting user productivity and understanding.

Optimizes attention flash mechanisms for models like GPT to reduce memory usage and accelerate inference speed, boosting efficiency.

Mamba Architecture optimizes transformer models for speed & memory efficiency, making large language models faster and more accessible.

Git Context Controller (GCC) - Manages agent memory as a versioned file system under .GCC/. This skill should be used when working on multi-step projects that benefit from structured memory persistence, milestone tracking, branching for alternative approaches, and cross-session context recovery. Triggers on /gcc commands or natural language like 'commit this progress', 'branch to try an alternative', 'merge results', 'recover context'.

Comprehensive guidelines for Obsidian.md plugin development including all 27 ESLint rules from eslint-plugin-obsidianmd v0.1.9, TypeScript best practices, memory management, API usage (requestUrl vs f

Use this skill when designing, generating an MVP blueprint for, auditing, refactoring, or explaining an agentic harness for any domain. Covers provider-neutral agent architecture for OpenAI, Anthropic, and OpenAI-compatible APIs: agent loops, tool design, permissions, system prompts, planning, goals, context compaction, memory, skills, MCP/external connectors, observability, evals, prompt caching, agent-legible environments, feedback loops, and safety.

Create or receive human-first AI task handoffs across chats, models, devices, and languages. Use when the user asks to hand off, export context, resume from a handoff, switch sessions while preserving work, says "交接一下", "接收交接", or supplies handoff.md, handoff.zip, handoff-audit.zip, an LCH Bundle/T0 package, OCH Snapshot, or LTM Packet. Default to one readable handoff.md; upgrade to handoff.zip only when required files must travel, and to handoff-audit.zip only for formal audit, cross-organization delivery, or proof. Preserve current intent, stop point, next action, decisions, constraints, rejected and failed paths, answered questions, materials, omissions, and revalidation needs. Do not use for generic summaries, memory lookup, hidden reasoning, completed trivial chats, or after the user declines.

Stores and retrieves structured data within a PostgreSQL database for persistent agent memory and knowledge management.

Voice-note-to-knowledge-base pipeline. Send voice notes to Telegram → AI organizes them into a structured knowledge base with tasks in Todoist and daily reports. Features Ebbinghaus spaced-repetition decay, vault health scoring, and knowledge graph. Runs on OpenClaw.

Efficiently prioritizes and organizes information within its knowledge base to optimize response quality and relevance.

This skill maintains context across turns in a conversation, improving natural and engaging interactions by remembering previous exchanges.

AWS Bedrock AgentCore comprehensive expert for deploying and managing all AgentCore services. Use when working with Gateway, Runtime, Memory, Identity, or any AgentCore component. Covers MCP target de

Shared memory service for AI agents (OpenClaw, KimiClaw, NanoClaw, etc). Use when user asks to store, retrieve, search, or share memories across agent instances. Also use for importing existing memory files (MEMORY.md, daily notes) into the shared service.

Preflight security scanner for AI coding agents — scans deployment config, skills/MCP servers, memory/sessions, and AI agent config files (hooks injection) for secrets, PII, prompt injection, and dangerous patterns. Runs 4 model behavior probes (persuasion, sandbagging, deception, hallucination). Supports LLM-enhanced semantic analysis. Works with OpenClaw, Claude Code, Cursor, and Codex. Use when a user asks for a security audit, health check, or wants to scan their AI agent setup for vulnerabilities.