From loom
Run a local Ollama agent to autonomously review, edit, or analyze code with tool-calling, git safety, caching, and Graphiti memory
How this skill is triggered — by the user, by Claude, or both
Slash command
/loom:agentThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Run a local Ollama agent task. The agent operates entirely on your machine via Ollama, using tool calling to autonomously read, edit, and search code through PowerShell MCP tools.
Run a local Ollama agent task. The agent operates entirely on your machine via Ollama, using tool calling to autonomously read, edit, and search code through PowerShell MCP tools.
read_file, read_file_lines, edit_file, write_file, search_code, find_files, run_powershellloom/agent-<timestamp> branch before file writes, shows diff on completion.py files after writeslocal_agent_task MCP tool with the user's task descriptionAgentResult:
response: The agent's final analysis or reviewfiles_changed: List of modified filesgit_branch / git_diff: Branch name and diff summarytool_log: Detailed log of every tool call madevalidation_results: Syntax check results for written filestool_calls_made / turns_used: Execution stats/loom:agent Review src/loom/server.py for security issues
/loom:agent Add input validation to the execute_powershell function
/loom:agent Refactor kan_engine.py to reduce method complexity
/loom:agent Find all TODO comments and summarize them
LOOM_ALLOWED_ROOT only — path safety prevents external accessIf the local agent isn't needed (no autonomous multi-turn flow), use PSKit tools directly:
mcp__pskit__read_file, edit_file, search_code — same underlying PS functionsreadOnlyHint annotations — safe tools auto-approve in clientsnpx claudepluginhub nickalus12/loom --plugin loomCreates bite-sized, testable implementation plans from specs or requirements, with file structure and task decomposition. Activates before coding multi-step tasks.