Agent OKR Skill for Openclaw

A standardized OKR and weekly reporting framework designed specifically for the high-velocity execution cycles of autonomous AI agents.

mayf3
v1.0.0
Jun 18, 2026
0
439
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install agent-okr

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install agent-okr using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Agent OKR Skill?

The Agent OKR Skill is a revolutionary management framework designed to solve the ultimate bottleneck in autonomous AI systems: direction, not execution speed. Because AI agents execute tasks at exceptional speeds, traditional human quarterly planning cycles are insufficient. This skill implements high-frequency monthly OKR structures, weekly report iterations, and daily self-demolition of tasks, ensuring agents stay perfectly aligned with core business objectives.

By incorporating this system into your multi-agent deployments, you can leverage Openclaw Skills to establish clear, strategic master lines. The skill uses organized YAML templates to outline Objectives, Key Results (KRs), and explicit workflows, allowing management agents and human supervisors to cooperatively govern agent productivity with minimal overhead.

Agent OKR Skill Use Cases

  • Establishing alignment and direction for fast-executing, autonomous multi-agent environments.
  • Preventing objective drift in specialized content generation, engineering, or operations agents.
  • Automating weekly progress tracking, blocker detection, and reporting workflows.
  • Designing a hierarchical governance structure that balances human supervisor intervention with agent autonomy.
  • Tracking daily agent tasks and aligning individual micro-actions to macro organizational targets.

How Agent OKR Skill Works

  1. Goal Setting: Strategic leader agents (e.g., ceo-agent) define monthly Objectives and Key Results, creating a dedicated YAML configuration file in the tracking directory.
  2. Decomposition: The agent dynamically parses its assigned monthly OKRs and breaks down KRs into structured weekly todo lists.
  3. Daily Progress: The agent executes its daily pipeline, updating tracking metrics within the local configuration file.
  4. Automated Weekly Report: Every Sunday, the agent automatically aggregates performance data, updates KR metrics, identifies blockers, and writes a weekly report template.
  5. Multi-Layer Review: Specialized supervisor agents perform tactical and strategic reviews before flagging high-priority summaries for final human review and approval.
  6. Adaptive Readjustment: Tactical management agents adjust work plans and priorities for the upcoming week based on review feedback.

Agent OKR Skill Setup

To implement this execution workflow utilizing Openclaw Skills, set up the storage hierarchy and scripts in your project directory:

  1. Initialize the required file structure:
mkdir -p docs/agent-profiles docs/agent-okr/archive scripts
  1. Populate an active agent OKR configuration file, such as docs/agent-okr/my-agent.yaml, using the provided YAML standard.

  2. Execute utility scripts to manage operations:

# Validate OKR YAML structure and configuration
./scripts/validate-okr.sh

# Generate a blank report template for the upcoming week
./scripts/generate-weekly-report-template.sh

# Compile all active agent reports for supervisor evaluation
./scripts/review-summary.sh

Agent OKR Skill Data Schema & Taxonomy

The Agent OKR Skill organizes goal setting and tracking data using flat YAML files, providing a backup and offline read-only source before migrating to centralized databases.

Directory Map

Path Purpose
docs/agent-profiles/{agent-name}.json Master profile archive for existing agents.
docs/agent-okr/{agent-name}.yaml Active monthly OKR configurations, current key metrics, and weekly tasks.
docs/agent-okr/archive/ Historic records of completed monthly OKR files.

YAML Taxonomy Specifications

  • agent: Unique identifier for the agent (string).
  • period: Target execution month formatted as YYYY-MM (string).
  • status: Active lifecycle stage (active, completed, archived).
  • approved_by: Multi-role review configuration including strategic (ceo-agent), tactical (efficiency-agent), and boss approvals.
  • objective: High-level qualitative goal defining success.
  • key_results: Array containing ID, description, quantitative metric, target value, current value, and measurement unit.
  • weekly_todos: Task breakdown mapping back to specific KR IDs.
  • weekly_report: Summary log covering achievements, blocker identification, upcoming plans, and supervisor evaluations.

Agent OKR Skill Advanced Features

  • Dual-Layer Agent Governance: Separates strategic pathfinding (via ceo-agent) from tactical task management (via efficiency-agent) to ensure optimal focus.
  • Prioritized Human Escalation: Implements a tiered approval system where human supervisors closely monitor core strategic agents, batch-approve exploratory tasks, and handle infrastructure alerts by exception only.
  • Automated Sunday Synthesis: Standardizes self-reporting mechanisms that trigger automatic synthesis of weekly performance data into readable markdown blocks.
  • Migration-Ready Architecture: Supports effortless transition from file-based YAML structures to centralized relational databases utilizing API endpoints in modern Openclaw Skills platforms.

SKILL.md


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