Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Creates new Overstory agents for Overclaw by updating all seven integration points (config, manifest, agent-def, gateway prompt, task_router, generate_agent_...
Creates new Overstory agents for Overclaw by updating all seven integration points (config, manifest, agent-def, gateway prompt, task_router, generate_agent_...
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.
Creates and registers new Overstory agents so Overclaw can recognize and use them. Automates the steps documented in .overstory/CREATING_AGENTS.md.
You want to add a new agent type (e.g. troubleshooter, docs-writer) to Overclaw. You want to ensure all seven integration points are updated consistently. You want to suggest new agents from Overclaw logs, TROUBLESHOOTING.md, mulch, or project structure.
Main CLI for creating or validating agents. Manual creation: python3 scripts/create_agent.py \ --name "troubleshooter" \ --description "Analyzes logs and troubleshoots issues" \ --capabilities "troubleshoot,debug,analyze" \ --model "sonnet" \ --tools "Read,Glob,Grep,Bash" \ --can-spawn false \ --constraints "read-only" Options: --dry-run (preview only), --no-regenerate (skip gateway context regeneration), --rollback-on-fail (revert changes if validation fails). Analysis mode (suggestions only): python3 scripts/create_agent.py \ --analyze-from-logs \ --analyze-from-troubleshooting \ --suggest-only
Helper for analysis mode: parses logs, TROUBLESHOOTING.md, mulch, and project tree to suggest new agent definitions. Can be run standalone or via create_agent.py --analyze-*.
.overstory/config.yaml β capability entry .overstory/agent-manifest.json β agent + capabilityIndex .overstory/agent-defs/<name>.md β agent definition scripts/overclaw_gateway.py β orchestrator system prompt skills/nanobot-overstory-bridge/scripts/task_router.py β CAPABILITY_PATTERNS skills/nanobot-overstory-bridge/scripts/generate_agent_context.py β CAPABILITY_PRIVILEGES Regeneration of gateway-context.md and skills-manifest.json
CREATING_AGENTS.md β Step-by-step explainer .overstory/agent-defs/blogger.md β Example agent def .overstory/agent-defs/supervisor.md β Example coordinator-style agent
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.