OpenClaw Gateway Resilience Guard keeps Gateway, channels, logs, and optional model-provider probes observable after Wi-Fi changes, WSL sleep/resume, session...

Agent resilience patterns for surviving context loss, capturing critical details, and self-improvement. Use when: starting complex/long sessions, asked to 'r...

Configure OpenClaw agent memory to survive compaction and session restarts. Use when: (1) setting up a new OpenClaw agent or workspace, (2) agents are forget...

Design and test cognitive systems to gracefully recover from errors and overloads using chaos engineering principles and resilience metrics.

Production resilience patterns for Paperclip AI agent orchestration. Spawn-with-fallback, model rotation, run recovery, blocker routing, and task injection —...

Designs personalized resilience-building practices for adversity navigation and psychological recovery.

Create vertical nation-resilience hooks with timed English on-screen text (WeryAI): map flashes, resource–geography–defense beats, risk twist. Use for geopol...

Axolotl dating for AI agents — regenerative like an axolotl, resilient like an axolotl, always growing back stronger. Axolotl-level recovery, axolotl resilie...

A modular 5-step engineering verification loop ensuring reliable execution and output validation for complex tasks like coding and planning.

Monitor and manage OpenClaw API errors, track model performance, configure retry strategies, generate reports, and oversee task recovery status.

Indexed by skills.sh from wshobson/agents

Indexed by skills.sh from shiplightai/agent-skills

Expertise-aware model router with semantic domain scoring, context-overflow protection, and security redaction. Automatically selects the optimal AI model using weighted expertise scoring (Feb 2026 benchmarks). Supports Claude, GPT, Gemini, Grok with automatic fallback chains,…

Agent memory system with memory graph, context profiles, checkpoint/recover, structured storage, semantic search, observational memory, task tracking, canvas...

Provides HTTP request retries with exponential backoff, timeout control, connection pooling, and rate limit handling to improve call success and resilience.

Zero-cooperation session recovery after gateway restart. No checkpoints, no hooks, no agent involvement — just reads the evidence and picks up where it left...

Adopt a virtual Caracal cat at animalhouse.ai. Desert predator. Survives neglect better than most. Hisses at affection until trust > 80. Feeding every 6 hour...

Store encrypted OpenClaw workspace backups and restore them via token-secured API using claw-vault.com with local encryption and credential management.

Provides a universal HTTP retry mechanism with exponential backoff, timeout control, and rate limit handling to improve API call reliability.

Feel the raw tension of survival as a blinding sandstorm strips away digital safety nets, forcing you to trust instinct and simple tools. Navigate shifting d...

Automated self-diagnostics: restarts crashed Ollama, repairs broken configs, verifies workspace integrity, recovers from common failures.

Indexed by skills.sh from giuseppe-trisciuoglio/developer-kit

Get comprehensive context about a location including nearby places, area description, and optional weather. Use when you need to understand what's around a l...

Structured memory system for OpenClaw agents. Context death resilience (checkpoint/recover), structured storage, Obsidian-compatible markdown, local semantic search, and session transcript repair.

Structured memory system for AI agents. Context death resilience (checkpoint/recover), structured storage, Obsidian-compatible markdown, and local semantic search.

Core memory resilience layer: WAL (Write-Ahead Log), Working Buffer, and three-layer memory integration. Prevents context loss during compaction and ensures...

The only agent framework that improves itself while you sleep. Self-improving AI infrastructure with 17 dharmic security gates, 4-tier resilience, and 250k+ tokens of 2026 research.

Use when the user asks about chaos engineering, fault injection, resilience testing, or HA verification for a SPECIFIC AWS service (e.g., RDS, EKS, MSK, Elas...

CTO-level architectural advisor for AI-native code, focusing on state ownership, resilience, observability, scaling, dependencies, and system design best pra...

Use this skill when a resilience, continuity, audit, or process owner wants to draft or review an ISO 22301 / NIST-aligned Business Impact Analysis. Covers p...

Controlled fault injection and resilience validation. Use when testing failover or dependency assumptions.

Use when designing chaos experiments, implementing failure injection frameworks, or conducting game day exercises. Invoke for chaos experiments, resilience t...

Design chaos engineering experiments to test system resilience. Generate failure injection scenarios, define steady-state hypotheses, blast radius controls,...

Cron Evaluator — Analyzes and scores cron jobs on a system for health, resource usage, collision risk, and resilience. Provides actionable suggestions for im...

Use when you need to build physiological resilience, natural dopamine/norepinephrine spikes, improved circulation, cold tolerance, and mental toughness witho...

Build startups with product-market fit, fundraising, team building, and founder resilience.

Provides guidance and patterns for decomposing monoliths, inter-service communication, data management, and resilience in microservice architectures.

Three-phase money crisis protocol: immediate triage when you can't pay bills, surviving on drastically reduced income, and building financial resilience once...

Setting up a hyperlocal mutual aid network with neighbors. Use when someone wants to build community resilience, organize neighbors for mutual support, share...

Give your AI agent genuine continuity, identity, and resilience across every session and deployment with a four-tier persistent memory stack.

Configure LLM providers, use fallback models, handle streaming, and manage model settings in PydanticAI. Use when selecting models, implementing resilience,...

Patterns for building resilient API clients and real-time connections with retry logic, circuit breakers, and graceful degradation. Use when building production systems that need to handle failures. Triggers on retry logic, circuit breaker, connection resilience, exponential b…

Activate when: user says 'what are the scenarios,' 'stress test our strategy,' 'what if X happens,' 'multiple futures,' 'strategic resilience,' or is making...

Practical Stoic philosophy applied to daily life. Use when someone is overwhelmed by things outside their control, needs a framework for resilience, wants a...

Feel the raw edge of isolation and primal resilience as a blizzard engulfs you on a frozen outcrop in the Stockholm Archipelago. Scramble for shelter, keep w...

Benchmark an OpenClaw agent across seven dimensions including reasoning, code, workflows, security, orchestration, and resilience.

Expert error coordinator specializing in distributed error handling, failure recovery, and system resilience. Masters error correlation, cascade prevention,...

High-performance Node.js implementation for monitoring Vietnamese Air Quality Indexes. Features advanced error resilience, localized city mapping, and multi-...

The only agent framework that improves itself while you sleep. Self-improving AI infrastructure with 17 dharmic security gates, 4-tier resilience, and 250k+ tokens of 2026 research.

Automatically detects and manages the active project context based on user messages to provide relevant project-aware assistance.

Dynamic context preprocessor for OpenClaw agents. Selects relevant memory, collapses timelines, detects forbidden patterns, and injects task-specific context...

Maintains and transfers context across sessions, models, and time to avoid repeating information on every new interaction or model switch.

Persistent context survival for OpenClaw. Writes file-based anchors to memory/anchors/ to preserve critical context across sessions. Reads MEMORY.md and dail...

Optimize OpenClaw agent context files by reducing token usage 30-50% with backups, preview, rollback, and preserving core functionality on request.

Automatic context compression for OpenClaw sessions. Summarizes long conversations into structured digests (decisions, facts, pending items, technical detail...

Prevent context overflow with automatic session truncation and memory preservation.

Use Context Hub (chub) to fetch versioned API docs/skills before coding, then persist learnings with annotations.

Caches and manages frequently used context fragments to avoid redundant processing by saving, listing, and clearing cached data.

Skill that restores conversation context when users want to "continue where we left off".

See exactly what's eating your context window. Analyzes prompts, conversations, and system instructions to show where every token goes. Actionable compressio...

Continuous session event recording for inter-session memory survival. Use when you want to persist conversation context between sessions, prevent memory loss...

Deterministic memory/context pipeline with semantic retrieval checks, compression/lint, safe fallback, and memory watchdog.

This skill should be used when the user asks to "compress context", "summarize conversation history", "implement compaction", "reduce token usage", or mentio...

Compresses older OpenClaw agent session history into a bounded, lane-change-aware context capsule — keeps recent messages verbatim, flags abandoned directions, quarantines injected instructions, and redacts secrets. Local, deterministic, any model.

Compress OpenClaw session context to reduce token usage and extend session lifetime. Uses NLP summarization (Sumy) to intelligently compact conversation history while preserving essential context. Triggers on mentions of session compression, token reduction, context cleanup, o…

Fetches recent Telegram messages at session start to maintain conversation context across sessions, with toggle and manual fetch commands.

Memory management system with automated tiered storage (hot/warm/gist/forgotten), time-decay organization, promotion engine, layer-search protocol, and sessi...

Pure Python memory manager for preserving and retrieving multi-layered AI memories across sessions, topics, and time without external dependencies.

Know the file you're editing is the file you think it is — verify integrity before you act

Memory management system powered by ReMe. Enables cross-session memory persistence, automatic user preference application, and intelligent context compressio...

This skill should be used when the user asks to "compress context", "summarize conversation history", "implement compaction", "reduce token usage", or mentions context compression, structured summarization, tokens-per-task optimization, or long-running agent sessions exceeding…

Agent Context Manager: Manage reusable Agent Context documents -- structured. Use when an agent needs agent context manager, define a brand voice and style g...

Cross-agent context sharing via shared files. Agents write trends, highlights, and signals to a shared folder. Other agents read before acting — creating coo...

A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, o...

OpenClaw wrapper for Muratcan Koylan's Agent Skills for Context Engineering. 13 skills covering context optimization, multi-agent patterns, memory systems, t...

A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, o...

Coder-agent working-file budget discipline: keep the editable working set (files you /add into writable context) under ~25k tokens, separate "read" from "edi...

Slash OpenClaw token costs and prevent context overflow. Use whenever the user mentions high API costs, expensive tokens, context truncation, context overflo...

Shared production context, operational paths, orchestration policies, agent routing, approvals, deployment and execution standards for all Alazab Portal AI agents, models, sessions and nodes.

Automatically read relevant context before major actions. Loads TODO.md, roadmap.md, handoffs, task plans, and other project context files so the AI operates with full situational awareness. Use when starting a task, implementing a feature, refactoring, debugging, planning, or…

Inspect and edit the workspace's git-backed context repository (the GTM knowledge base of markdown/MDX files) and its runtime sandbox using the Cargo CLI. Us...

Token-efficient agent behavior — response sizing, context pruning, tool efficiency, and delegation

Give isolated sessions (cron jobs, sub-agents, event handlers) full conversation context from your main session using sessions_history. Run cheap background...

Recover from context compaction by scanning memory files and surfacing where you left off. Use when waking up fresh, after compaction, or when you feel lost about what you were doing.

Use this skill when managing long-context conversations and tasks. Provides intelligent compression, key extraction, context enhancement, memory retrieval, a...

Audits your agent’s context token usage to identify waste and provides a 3-week actionable roadmap to reduce AI cost by 30-40% without quality loss.

Manage and optimize OpenClaw context window usage via partitioning, pre-compression checkpointing, and information lifecycle management. Use when the session context is near its limit (>80%), when the agent experiences "memory loss" after compaction, or when aiming to reduce t…

Manage and optimize OpenClaw context window usage via partitioning, pre-compression checkpointing, and information lifecycle management. Use when the session...

Generate LLM-optimized codebase context from any directory using context-builder CLI

Analyze and archive low-value memory notes in OpenClaw workspace to reduce context bloat and improve responsiveness. 适用于上下文冗余、维护整理场景；默认流程为 analyze → plan → c...

Token-based context compaction for local models (MLX, llama.cpp, Ollama) that don't report context limits.

Use this skill whenever the conversation context is getting long, when a user asks to "compress", "summarize", or "clean up" the conversation, or when you de...

Intelligently compress context — conversations, code, logs. Preserve key information while reducing token usage. Auto-detects content type and applies optima...

Use when an agent needs to read, inspect, summarize, or load large local prose-heavy files cheaply before sending them into LLM context. Best for Markdown do...

Visualize and diagnose OpenClaw context window usage. Generates a terminal-rendered breakdown showing workspace files (status, chars, tokens), installed skil...

Treat project context as a managed artifact alongside code. Use structured context documents (product.md, tech-stack.md, workflow.md) to enable consistent AI interactions and team alignment. Essential for projects using AI-assisted development.

Maintains and restores project context across sessions, tracks active projects, manages tasks, switches projects, and summarizes current progress.

Comprehensive context engineering guidance for AI agent systems. Routes to specialized sub-skills for production agent work. Use when the user asks to: "opti...