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SkillsMP ha recopilado 42 skills de oabdelmaksoud/Openclaw-skills-Compilations. Abre una skill para revisar su origen y sus detalles.
Mostrando 40 de 42 skills recopiladas.
Use when managing the Claude CLI Proxy (ban protector) — start, stop, restart, status, logs, backup, test, setup, or register the proxy in OpenClaw. Triggers on: 'proxy status', 'ban protector', 'start proxy', 'stop proxy', 'proxy health', 'antiban', 'cli…
Idioma del texto original: inglés
Run stateful multi-agent graph workflows using LangGraph (linear, supervisor, parallel, conditional). Use when tasks need dynamic routing, branching logic, or a supervisor agent delegating work. All LLM calls use OpenClaw's existing provider config — no API…
Idioma del texto original: inglés
Run multi-agent AutoGen-style debates when tasks need consensus across specialists. Uses OpenClaw's existing provider configuration — no API keys or extra setup needed. Use when: architecture decisions, design reviews, root cause analysis, or complex research…
Idioma del texto original: inglés
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Idioma del texto original: inglés
Run structured multi-agent workflows using CrewAI (sequential, hierarchical, consensus). Each agent has a defined role, goal, and backstory. Tasks have explicit expected outputs. Use when: structured pipelines (research → design → implement),…
Idioma del texto original: inglés
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Idioma del texto original: inglés
This skill should be used when the user asks to 'demonstrate skills', 'show skill format', 'create a skill template', or discusses skill development patterns. Provides a reference template for creating OpenClaw skills.
Idioma del texto original: inglés
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Idioma del texto original: inglés
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Idioma del texto original: inglés
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
Idioma del texto original: inglés
Use Hugging Face Hub via MCP server tools. Search models, datasets, Spaces, papers. Get repo details, fetch documentation, run compute jobs, and use Gradio Spaces as AI tools. Available when connected to the HF MCP server.
Idioma del texto original: inglés
Execute Hugging Face Hub operations using the `hf` CLI. Use when the user needs to download models/datasets/spaces, upload files to Hub repositories, create repos, manage local cache, or run compute jobs on HF infrastructure. Covers authentication, file…
Idioma del texto original: inglés
Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.
Idioma del texto original: inglés
Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata…
Idioma del texto original: inglés
This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tokens, secrets management, timeout configuration, and result…
Idioma del texto original: inglés
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local…
Idioma del texto original: inglés
Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.
Idioma del texto original: inglés
Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a…
Idioma del texto original: inglés
Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API) or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, HF Space syncing, and JSON output for automation.
Idioma del texto original: inglés
This skill should be used when the user asks to 'add MCP server', 'integrate MCP', 'configure MCP', 'use .mcp.json', 'set up Model Context Protocol', 'connect external service via MCP', or discusses MCP server types (SSE, stdio, HTTP, WebSocket). Provides…
Idioma del texto original: inglés
This skill should be used when the user asks to 'create an agent', 'add an agent', 'write a new agent', 'configure agent SOUL.md', 'agent IDENTITY.md', 'agent workspace setup', 'agent fallback chains', 'agent model assignment', or needs guidance on OpenClaw…
Idioma del texto original: inglés
Analyze a codebase or workspace and recommend OpenClaw automations (cron jobs, skills, agent routing, processes, MCP servers, workspace structure). Use when user asks for automation recommendations, wants to optimize their OpenClaw setup, mentions improving…
Idioma del texto original: inglés
This skill should be used when the user asks to 'create a slash command', 'add a command', 'write a custom command', 'define command arguments', 'skill slash-commands', 'organize commands', or needs guidance on OpenClaw skill-based slash commands, YAML…
Idioma del texto original: inglés
This skill should be used when the user asks to 'create a cron job', 'add a scheduled task', 'write a process definition', 'configure automation', 'set up event-driven automation', 'define a process in PROCESSES.json', or needs guidance on OpenClaw cron jobs…
Idioma del texto original: inglés
Audit and improve CLAUDE.md and SOUL.md files across the OpenClaw workspace, plus openclaw.json config. Use when user asks to check, audit, update, improve, or fix CLAUDE.md files, SOUL.md agent personality files, or openclaw.json configuration. Also use when…
Idioma del texto original: inglés
This skill should be used when the user asks about 'OpenClaw settings', 'configure openclaw.json', 'skill configuration', 'per-project settings', 'agent configuration', 'model routing', 'provider settings', 'skills.entries config', or wants to make OpenClaw…
Idioma del texto original: inglés
This skill should be used when the user wants to 'create a skill', 'add a skill', 'write a new skill', 'improve skill description', 'organize skill content', or needs guidance on OpenClaw SKILL.md format, progressive disclosure, metadata.openclaw block, or…
Idioma del texto original: inglés
This skill should be used when the user asks to 'understand workspace structure', 'organize workspace', 'set up OpenClaw workspace', 'where do files go', 'workspace layout', 'agent workspace paths', or needs guidance on OpenClaw directory layout, file…
Idioma del texto original: inglés
Creates interactive HTML playgrounds — self-contained single-file explorers that let users configure something visually through controls, see a live preview, and copy out a prompt. Use when the user asks to make a playground, explorer, or interactive tool for…
Idioma del texto original: inglés
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
Idioma del texto original: inglés
Use when completing tasks, implementing major features, or before merging to verify work meets requirements
Idioma del texto original: inglés
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or…
Idioma del texto original: inglés
Best practices for building Stripe integrations. Use when implementing payment processing, checkout flows, subscriptions, webhooks, Connect platforms, or any Stripe API integration.
Idioma del texto original: inglés
Use when executing implementation plans with independent tasks in the current session
Idioma del texto original: inglés
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Idioma del texto original: inglés
Use when implementing any feature or bugfix, before writing implementation code
Idioma del texto original: inglés
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
Idioma del texto original: inglés
Use when starting any conversation - establishes how to find and use skills, requiring skill invocation before ANY response including clarifying questions
Idioma del texto original: inglés
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
Idioma del texto original: inglés
This skill should be used when the user asks to 'create an automation rule', 'write a process rule', 'configure automation', 'add an automation rule', or needs guidance on OpenClaw process/cron automation patterns, rule syntax, and automated enforcement.
Idioma del texto original: inglés