instruction-adherence

Community

Stay on track with complex tasks.

Authormetabench
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill ensures AI agents reliably follow instructions, especially during multi-step tasks, mid-task detours, or when frequent re-anchoring to the main objective is necessary.

Core Features & Use Cases

  • Instruction Snapshot: Captures the core objective, mandatory actions, and constraints.
  • Task Ledger: Structures tasks with clear parent/child relationships to prevent detours from derailing the main goal.
  • Re-anchor Loop: Periodically verifies alignment with the original objective after subtasks or tool calls.
  • Detour Protocol: Manages intermediate tasks, ensuring a clean return to the main objective.
  • Use Case: When an agent is asked to "write a report and also improve the CLI tooling," this Skill helps it complete the report first, then manage the tooling improvement as a distinct sub-task before returning to any further report-related steps.

Quick Start

Use the instruction-adherence skill to capture an instruction snapshot and build a task ledger for the current objective.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: instruction-adherence
Download link: https://github.com/metabench/jsgui3-server/archive/main.zip#instruction-adherence

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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