Indexed by skills.sh from forztf/open-skilled-sdd

Indexed by skills.sh from forztf/open-skilled-sdd

Patterns for skeleton loaders, shimmer effects, and loading states that match design system aesthetics. Covers skeleton components, shimmer animations, and progressive loading. Use when building polished loading experiences. Triggers on skeleton, loading state, shimmer, placeh…

Implements hub-and-spoke lazy loading to minimize token usage in large skills

Check loading, error, empty, partial, and retry states for a UI surface.

Intelligent loading performance analysis with automated workflows for TTFB investigation (DNS/connection/server breakdown), render-blocking detection, script...

Dramatically reduce per-session token usage by loading skills and context files only when needed — not at session start. Includes the SKILLS catalog pattern,...

Indexed by skills.sh from phaserjs/phaser

Indexed by skills.sh from patternsdev/skills

Indexed by skills.sh from dylantarre/animation-principles

Indexed by skills.sh from dembrandt/dembrandt-skills

Indexed by skills.sh from gamedev-skills/awesome-gamedev-agent-skills

Reduce token usage in AI agent systems (Claude Code, OpenClaw, GPT Codex, Cursor, Windsurf, Aider, etc.) by applying context compression, selective loading,...

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

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...

Install and verify Codex Claw for Codex Desktop AGENTS.md, Agent MD, SOUL.md, soul file, session memory, personality, and OpenClaw workspace context loading...

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

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

Upload one or many videos to YouTube. Use when the user wants to "上传到 YouTube", "发 YouTube", "批量上传", "upload to YouTube", "post videos to YouTube", or to pub...

Validate and use CPU offloading in Megatron Bridge, including layer-level activation offloading and fractional optimizer state offloading with HybridDeviceOptimizer.

Validate and use CPU offloading in Megatron Bridge, including layer-level activation offloading and fractional optimizer state offloading with HybridDeviceOptimizer.

Indexed by skills.sh from nvidia/skills

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

Automatically discovers and loads CLAUDE.md files from the project root, supporting @include directives and reverse loading up to 40,000 characters.

Manage conversation context with saving, loading, and pruning tools. Use when preserving context, loading sessions, pruning old history.

Enables AI to retain and access previous session context across restarts by automatically saving and loading user identity, tasks, and preferences from memor...

Teaches agents to check before they guess. Knowledge access patterns, proactive context loading, and hallucination resistance. Install before taking the Know...

Claw Compactor v6.0 — 50%+ savings through rule-based compression, dictionary encoding, session observation compression, and progressive context loading.

OpenViking context database for AI agents — layered context loading (L0/L1/L2), semantic search, file-system memory management. Use when: (1) setting up Open...

Use this skill when the user is doing hands-on DOCA DPA host-side work on a BlueField — creating the `doca_dpa` Core context, loading a DPACC-compiled DPA app image (`doca_dpa_app`), creating DPA threads, launching kernels via `doca_dpa_kernel_launch_update_*`, draining `doca_…

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

**MANDATORY prerequisite** — you MUST invoke this skill BEFORE every `use_figma` tool call. NEVER call `use_figma` directly without loading this skill first. Skipping it causes common, hard-to-debug failures. Trigger whenever the user wants to perform a write action or a uniqu…

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...

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...

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...

Use when working with context management context save

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...

Context window is near capacity, causing the model to drop earlier content silently and produce degraded, partial, or inconsistent output.

Provide new contributors and agents with a concise tour of the workspace identity files (SOUL.md, USER.md, AGENTS.md, TOOLS.md) plus onboarding tips. Use when a newcomer needs context or when you want to double-check how this workspace is configured.

Monitors token usage in long sessions, extracts key info, and creates continuation sessions to manage context limits automatically.

Solve cross-session context storage and sync problems. Use when (1) isolated sessions (cron/subagent/heartbeat) lack context from main session, (2) long-runn...

Turn rough product, feature, or repo-change requests into a PM-grade plan plus agent-ready execution context. Use whenever the user has a vague idea, wants a...

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

Automatically recover working context after session compaction or when continuation is implied but context is missing. Works across Discord, Slack, Telegram,...