Agent skill
rulebook-task-update
Update a Rulebook task status. Use to mark tasks as in-progress, completed, or blocked.
Install this agent skill to your Project
npx add-skill https://github.com/hivellm/rulebook/tree/main/skills/rulebook-task-update
SKILL.md
rulebook_task_update
Update a Rulebook task's status.
Input Schema
| Parameter | Type | Required | Description |
|---|---|---|---|
taskId |
string | Yes | Task ID to update |
status |
enum | No | New status: pending, in-progress, completed, blocked |
Usage
// Start working on a task
await mcp.rulebook_task_update({ taskId: "add-auth-system", status: "in-progress" });
// Mark task as completed
await mcp.rulebook_task_update({ taskId: "add-auth-system", status: "completed" });
// Mark task as blocked
await mcp.rulebook_task_update({ taskId: "add-auth-system", status: "blocked" });
Response
{
"success": true,
"taskId": "add-auth-system",
"message": "Task add-auth-system updated successfully"
}
When to Use
- Starting work on a task ->
in-progress - Finishing implementation ->
completed - Hitting a blocker ->
blocked - Resetting a task ->
pending
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
DAG Workflow
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Documentation Rules
All documentation in English. Root README concise, detailed docs in `/docs`.
Quality Enforcement
These rules are NON-NEGOTIABLE and MUST be followed without exception.
Rulebook Task Management
Spec-driven task management for features and breaking changes with OpenSpec-compatible format
Agent Automation
Mandatory workflow that AI agents MUST execute after EVERY implementation.
C
Execute these commands after EVERY implementation (see AGENT_AUTOMATION module for full workflow).
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