Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Enables AI agents to work on long-running projects across multiple sessions. Use when starting complex projects, resuming work on existing projects, managing...
Enables AI agents to work on long-running projects across multiple sessions. Use when starting complex projects, resuming work on existing projects, managing...
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. 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. Summarize what changed and any follow-up checks I should run.
This skill enables AI agents to work on long-running projects across multiple sessions.
The longrunning-agent skill provides a structured workflow for: Tracking progress across sessions Managing task lists with priorities and dependencies Making incremental, atomic progress on complex projects Ensuring continuity when resuming work
Copy this skill directory to your OpenClaw skills folder Ensure Claude Code CLI is installed and configured Create a project directory with the workflow files
# Create project directory mkdir my-project && cd my-project # Initialize workflow files claude -p "Initialize this project using the longrunning-agent workflow"
The skill expects these files in the project directory: CLAUDE.md - Project instructions and workflow guide task.json - Task list with priorities and dependencies progress.txt - Log of work completed init.sh - Environment setup script (optional)
{ "tasks": [ { "id": "task-1", "description": "Set up project structure", "priority": 1, "dependencies": [], "passes": false }, { "id": "task-2", "description": "Implement core features", "priority": 2, "dependencies": ["task-1"], "passes": false } ] }
[2024-01-15 10:30:00] Started session [2024-01-15 10:35:00] Completed task: Set up project structure [2024-01-15 10:40:00] Milestone: Core features implemented
Read Progress - Check progress.txt for recent work Select Task - Find next passes: false task with met dependencies Initialize - Run init.sh if needed Implement - Work on one task incrementally Test - Run lint, build, and tests Document - Update progress.txt Mark Complete - Set passes: true in task.json Commit - Make atomic git commit
Work on ONE task per session Make commits after each task completion Keep progress.txt concise but informative Use dependencies to manage task order Test thoroughly before marking passes: true
This skill integrates with the Agent Workflow Web App: Tasks sync with the web database Progress entries are captured Session output is logged Git commits are tracked
Templates for workflow files are in the templates/ directory: CLAUDE.md.tpl - Project template task.json.tpl - Task list template
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.