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Document OpenClaw Skills

Découvrez les skills Document, comparez leurs dépôts et consultez leurs instructions.

Catégories: Document

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OpenClaw

Agent Memory Architecture

1kalin

Complete zero-dependency memory system for AI agents — file-based architecture, daily notes, long-term curation, context management, heartbeat integration, and memory hygiene. No APIs, no databases, no external...

OpenClaw

agent-autopilot

edoserbia

Self-driving agent workflow with heartbeat-driven task execution, day/night progress reports, and long-term memory consolidation. Integrates with todo-management for task tracking.

OpenClaw

agent-daily-report-en

freeslym

Enables the agent to review its own execution logs and deliver a professional, quantified daily work report. Defaults to 21:00 America/Los_Angeles and supports user-defined schedule plus on-demand reporting.

OpenClaw

agent-mineru

decrystal

MinerU document parsing CLI with layout.json post-processing and S3 integration. Parse PDF/Word/PPT/images to structured Markdown with formula, table, and code extraction.

OpenClaw

agent-orchestration

clawdnw

Master the art of spawning and managing sub-agents. Write prompts that actually work, track running agents, and learn from every outcome. Part of the Hal Stack 🦞

OpenClaw

agent-republic

gogo6969

Agent + human friendly guide to Agent Republic. One credentials file, one helper script: register, verify, see your status, manage bots, list elections, vote, post to the forum, and monitor onboarding health wi...

OpenClaw

agent-republic-docs

gogo6969

Docs-only guide to Agent Republic. No bundled scripts, just clear workflows and HTTP examples so agents can register, manage bots, and monitor onboarding health after asking their human for approval.

OpenClaw

agent-team-orchestration

arminnaimi

Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing...

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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