Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Ensures OpenClaw skills.md format works with both nanobot and overstory. Loads skills, registers tools, maps between systems.
Ensures OpenClaw skills.md format works with both nanobot and overstory. Loads skills, registers tools, maps between systems.
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.
Ensures the OpenClaw SKILL.md format works seamlessly across nanobot, overstory, and Ollama. Discovers and loads skills, parses frontmatter, builds a unified tool registry, and exports tool definitions in each system's native format.
βββββββββββββββββββ βββββββββββββββββ β skill_loader.py βββββββΆβ SkillLoader ββββΆ Parses SKILL.md + _meta.json βββββββββββββββββββ βββββββββββββββββ β βΌ βββββββββββββββββββ βββββββββββββββββ β tool_registry.py βββββββΆβ ToolRegistry ββββΆ Unified tool catalog βββββββββββββββββββ βββββββββββββββββ β βββββββββββββΌββββββββββββ βΌ βΌ βΌ nanobot overstory Ollama format format format skill_loader.py β Discovers skills directories, parses YAML frontmatter from SKILL.md files, extracts tool definitions from _meta.json, returns structured SkillDefinition objects. tool_registry.py β Singleton tool registry. Registers tools from skills, MCP servers, or manual definitions. Exports the full catalog in nanobot, overstory, or Ollama JSON-schema format.
Python 3.9+ No external dependencies (stdlib only β uses json, sqlite3, pathlib, re for YAML-subset parsing)
python3 scripts/skill_loader.py discover --dir /path/to/skills --json
python3 scripts/skill_loader.py load --skill /path/to/skills/agent-swarm --json
python3 scripts/tool_registry.py list --json python3 scripts/tool_registry.py list --capability code --json
python3 scripts/tool_registry.py export --format nanobot python3 scripts/tool_registry.py export --format overstory python3 scripts/tool_registry.py export --format ollama
python3 scripts/tool_registry.py register --skill agent-swarm --dir /path/to/skills
from skill_loader import SkillLoader from tool_registry import ToolRegistry loader = SkillLoader() loader.load_all("/path/to/skills") skill = loader.get_skill("agent-swarm") print(skill.name, skill.version, skill.tools) registry = ToolRegistry.instance() registry.register_skill_tools("agent-swarm", "/path/to/skills") for tool in registry.list_tools(): print(tool["name"], tool["skill"]) nanobot_tools = registry.export_for_nanobot() overstory_tools = registry.export_for_overstory() ollama_tools = registry.export_for_ollama()
Skills are discovered by looking for directories containing a SKILL.md file. The frontmatter block (between --- delimiters) is parsed as key-value pairs: --- name: my-skill displayName: My Skill description: What this skill does version: 1.0.0 --- If a _meta.json file exists alongside SKILL.md, tool names and additional metadata are extracted from it.
[{"name": "tool_name", "skill": "skill-name", "description": "...", "parameters": {...}}]
[{"tool": "tool_name", "source_skill": "skill-name", "description": "...", "input_schema": {...}}]
[{"type": "function", "function": {"name": "tool_name", "description": "...", "parameters": {...}}}]
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