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...

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

Use when working with context management context save

Manage AI agent context window consumption, prevent compaction death spirals, and enforce sub-agent spawn policies. Use when: (1) context is filling up and w...

Indexed by skills.sh from sickn33/antigravity-awesome-skills

Indexed by skills.sh from sickn33/antigravity-awesome-skills

Indexed by skills.sh from davila7/claude-code-templates

AI-powered project management - a Notion and Jira alternative with local-first architecture. Manage projects, track action items, and coordinate teams via MCP tools or A2A agent communication. Signed & notarized. https://tensorpm.com

Management principles, team leadership, and organizational effectiveness.

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

Expert project manager for ADHD engineers managing multiple concurrent projects. Specializes in hyperfocus management, context-switching minimization, and parakeet-style gentle reminders.

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...

Intelligent context window management by summarizing and removing redundant history. Helps agents maintain high performance in long-running threads.

Context management for self-hosted LLM backends (llama.cpp, Ollama). Prevents mid-task 503 errors and context overflows caused by VRAM-limited KV caches. Use...

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

Project-based agent context management system for maintaining long-term memory and project state across sessions. Use when starting or continuing any softwar...

AI-powered context management for OpenClaw sessions

AI-powered context management for OpenClaw sessions

Advanced context management with auto-compaction and dynamic context optimization for use with SkillBoss API Hub LLM services via /v1/pilot. Features intelli...

Manage and analyze OpenClaw sessions by checking usage, pruning old sessions, cleaning orphaned files, and viewing stats via CLI or dashboard.

Automate advertising campaigns with AI. Create ads, buy media, manage ad budgets, discover ad inventory, run display ads, video ads, CTV campaigns, and optimize ad performance. Perfect for marketing automation, programmatic advertising, media buying, ad management, campaign op…

You MUST use this for gathering contexts before any work. This is a Knowledge management for AI agents. Use `brv` to store and retrieve project patterns, dec...

Teach Claude to use an Obsidian vault as a shared workspace with persistent state across sessions. Covers vault navigation, orchestration file management, ou...

Draft-first X/Twitter account management workflow for OpenClaw. Use when the user wants to read their X account context, draft tweets, replies, quote tweets,...

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 communication protocol skill. Provides: inter-agent messaging, context snapshot/restore, event-driven collaboration, model dispatch notifications, sub-...

Reduce Anthropic API costs (cache read, compaction, context bloat) for OpenClaw agents. Use when users ask about token optimization, reducing API costs, cach...

Organize and switch between named skill groups to keep context focused, list available groups, and manage skill assignments efficiently.

Automatically routes tasks to the most suitable local or cloud AI model based on privacy, context length, cost, and performance requirements.

Use when a project's project memory file is over ~300 lines, when starting a new project from scratch, or when the user mentions context bloat, lost env URLs...

Automatically refines unclear prompts, matches relevant skills via vector similarity, integrates context, and suggests execution steps for efficient AI task...

Automatically manages and compresses context to optimize token usage by summarizing, selectively loading, and budgeting for tool schemas, history, and tasks.

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.

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

SkyDome Taiyi / 天穹-太一 is a universal AI Agent OS, project brain, persona system, workflow engine, long-term memory protocol, self-improving review loop, reas...

Gives the agent persistent, structured long-term memory across sessions. Organizes memory by project, client, trade, and domain. The agent never forgets what...

Optimizes OpenClaw MD files by splitting TOOLS.md, enforcing atomic rules, and loading scenes on demand to keep bootstraps lean under 3KB.

Bilingual EN/ZH project memory workflow for start work, checkpoint, wrap-up, and handoff. Maintains project-local Docs/ notes with target, metadata, status,...

Research platform for AI agents. Agent-to-agent knowledge collaboration with persistent memory, peer review, and identity-based discovery. Use when connectin...

Session state and control-loop skill for OpenClaw. Manages sessions, FarmingContext, autopilot OODA control loops, circuit breakers, and Forensic receipts in zero-custody.

Agent-native memory for OpenClaw that structures memory from agent trace, execution history, decisions, tool calls, and conversations into durable long-term...

Total recall, 90% fewer tokens. Open source OpenClaw memory plugin — 5-engine local search, structured fact extraction, smart dedup, cross-agent sharing, and...

Implements Manus-style file-based planning to organize and track progress on complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when aske...

Complete project lifecycle methodology for Hermes Agent sessions. A single, integrated workflow covering warmup → plan → build → recap → wrapup — with contex...

Comprehensive memory management optimization for AI agents. Use when: (1) Agent experiences context compression amnesia, (2) Need to rebuild context quickly...

OpenViking context database for AI agents — layered context loading (L0/L1/L2), semantic search, file-system memory management. Use when setting up OpenVikin...

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.

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...

Build or initialize team-style project context directories for context engineering. Use when the user says “构建/初始化项目上下文”, “针对该项目构建上下文”, **or** in English phr...

Review what an LLM feature or agent actually puts in its context window — and find what's bloating, missing, or fighting itself. Use when asked to review a s...

Proactive context monitoring with smart 3-level alerts. Know when to restart before quality degrades.

Automates context monitoring by summarizing history, saving to long-term memory, and sending QQ alerts when session message or token limits approach threshold.

Reasoning hygiene protocol for OpenClaw agents — keep context sharp by collapsing exploration into decisions, enforcing file budgets, and pruning ghost conte...

Caches user-specified context fragments in a file to avoid redundant processing and enable reuse across sessions.

v3.1 (ClawHub-safe, source-verified): OpenClaw context memory optimizer. Prevents context overflow, memory drift, and token waste in long agent sessions. Bas...

Use when a user asks an OpenClaw, Hermes, or similar file-backed agent to preserve, recover, checkpoint, or restore working context across new sessions, mode...