octopus-skill
Enables multi-step document workflows without framework overhead or context bloat.
Long-horizon agent skill for Claude Code / Cursor / Codex / Grok — multi-task ledger loop (related or not), host-portable (re-send the prompt to continue), clean-context supervisor, verified gates. Markdown library (loop-graph · quest), not a framework.
- Automate multi-step document processing workflows across unrelated tasks in a single prompt.
- Break complex content work into verified checkpoints that prevent errors before proceeding forward.
- Resume long-running document jobs by resending prompts without losing context or progress state.
Enables multi-step document workflows without framework overhead or context bloat. Portable execution model reduces vendor lock-in and simplifies deployment across different AI coding environments.
Engineering teams automating complex document processing pipelines requiring state management across multiple agent tasks.
https://github.com/levi-qiao/octopus-skill
By levi-qiao
How to Get It
claude plugins install levi-qiao/octopus-skill
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me automate multi-step document processing workflows across unrelated tasks in a single prompt
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 39 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 39 GitHub stars; contributors unknown; last commit 0d ago; license MIT.