Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Sets up a production-ready OpenClaw workspace with artifact workflows, secure secrets, memory compaction, and long-running agent patterns via one command.
Sets up a production-ready OpenClaw workspace with artifact workflows, secure secrets, memory compaction, and long-running agent patterns via one command.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Enterprise workspace setup for long-running OpenClaw agents.
Transforms your OpenClaw workspace with production-ready patterns: ๐ Artifact Workflow - Standardized output structure for reports, code, data, and exports ๐ Secrets Management - Secure .env pattern, removes plaintext credentials ๐ง Memory Compaction - Prevents context bloat with systematic archival workflow ๐ฆ Long-Running Patterns - Container reuse, checkpoint strategy, continuity protocols ๐ก Security Baseline - Network allowlists, safe credential handling Based on OpenAI's Shell + Skills + Compaction best practices.
clawhub install openclaw-workspace-pro Or manual: cd /data/.openclaw/workspace git clone https://github.com/Eugene9D/openclaw-workspace-pro.git cd openclaw-workspace-pro ./install.sh
workspace/ โโโ artifacts/ # Standardized output location โ โโโ reports/ # Analysis, summaries, documentation โ โโโ code/ # Generated scripts, apps, configs โ โโโ data/ # Cleaned datasets, processed files โ โโโ exports/ # API responses, database dumps โโโ memory/ โ โโโ archive/ # Compressed memory summaries โโโ .env # Secrets (gitignored) โโโ .gitignore # Security
AGENTS.md enhancements - Artifact workflow, long-run patterns, secrets management MEMORY-COMPACTION.md - Weekly/monthly maintenance workflow TOOLS.md additions - Network security allowlist
.env.example - Secrets template .gitignore - Protect credentials
When producing deliverables: # Reports /data/.openclaw/workspace/artifacts/reports/YYYY-MM-DD-project-name.md # Code /data/.openclaw/workspace/artifacts/code/YYYY-MM-DD-script-name.py # Data /data/.openclaw/workspace/artifacts/data/YYYY-MM-DD-dataset.csv Benefits: Clear review boundaries Easy retrieval Version tracking Prevents file sprawl
Before Workspace Pro: # TOOLS.md API_KEY=sk-abc123xyz... โ Plaintext, exposed in git After Workspace Pro: # .env (gitignored) API_KEY=sk-abc123xyz... # TOOLS.md API Key: $API_KEY โ Reference only
Prevents context bloat in long-running agents: Weekly (when needed): Review daily logs from past 7-14 days Extract key insights โ update MEMORY.md Remove outdated info Monthly: Archive daily logs >30 days to memory/archive/YYYY-MM-summary.md Delete raw files after archival See MEMORY-COMPACTION.md for full workflow.
Default OpenClaw workspaces: โ Files scattered everywhere (no structure) โ API keys in plaintext (security risk) โ Memory grows indefinitely (context limits) โ No artifact review boundaries โ Manual maintenance (prone to drift)
Workspace Pro implements OpenAI's recommended patterns: โ Standardized artifact workflow โ Secure secrets management โ Systematic memory compaction โ Long-running agent patterns โ Clear operational workflows
Security: Eliminates credential exposure Organization: Clear deliverable handoff points Scalability: Handles months of continuous operation Maintenance: Defined schedules prevent drift Based on production patterns from: OpenAI's long-running agent recommendations Glean's enterprise skill deployments OpenClaw community best practices
After installation, populate .env: # Example: YouTube API YOUTUBE_API_KEY=your_key_here YOUTUBE_OAUTH_CLIENT_ID=your_id_here # Example: Task Management VIKUNJA_API_TOKEN=your_token_here
OpenClaw 2026.2.9+ Workspace directory: /data/.openclaw/workspace Shell access (for installation)
cd /data/.openclaw/workspace/openclaw-workspace-pro git pull ./install.sh
Workspace Pro is non-destructive. To remove: # Remove added files (safe, preserves your data) rm -rf artifacts/ memory/archive/ rm .env .gitignore MEMORY-COMPACTION.md # Restore AGENTS.md, TOOLS.md from backup cp AGENTS.md.backup AGENTS.md cp TOOLS.md.backup TOOLS.md
Issues: https://github.com/Eugene9D/openclaw-workspace-pro/issues Discussions: https://discord.com/invite/clawd ClawHub: https://clawhub.ai/skills/openclaw-workspace-pro
MIT License - See LICENSE file
Based on patterns from: OpenAI Shell + Skills + Compaction OpenClaw community practices Glean enterprise skill deployments Built by Eugene Devyatyh for the OpenClaw ecosystem. Version: 1.0.0 Updated: 2026-02-13 Compatibility: OpenClaw 2026.2.9+
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Largest current source with strong distribution and engagement signals.