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self-improving-agent

Generate self-improvement plans with bottlenecks, improvements, and success criteria.

2|Updated Mar 22, 2026
Search Tags:#workflow#planning#self-improvement#goal-setting#bottleneck-analysis#local-model
One-click install
npx skills add https://github.com/anzx01/LocalClaw --skill self-improving-agent-anzx01
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: self-improving-agent
Source: https://github.com/anzx01/LocalClaw/tree/main/bundled_skills/self-improving-agent
Command: npx skills add https://github.com/anzx01/LocalClaw --skill self-improving-agent-anzx01

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Agents, workflows, or teams often have vague goals and scattered observations, making it hard to identify bottlenecks and concrete steps for growth.

Core Features & Use Cases

  • Bottleneck identification: Highlights the top obstacles preventing progress.
  • Actionable improvements: Generates specific improvement actions with measurable success criteria.
  • Experiment planning: Suggests the safest next experiment to validate changes. Use case: A product team can feed their quarterly objectives, current performance metrics, and resource constraints to receive a clear roadmap for improvement.

Quick Start

Ask the self‑improving‑agent skill to create a plan for the goal “increase customer satisfaction” with the current state and any constraints.

Frequently Asked Questions about self-improving-agent

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I turn vague goals into an actionable self-improvement plan?▼

Generating a self-improvement plan requires feeding your defined goals, current performance metrics, and resource constraints into a local model to identify bottlenecks, actionable improvements, and success criteria.

What is bottleneck analysis and how does it work for workflow planning?▼

Bottleneck analysis identifies top obstacles preventing progress in workflows or teams by evaluating defined goals against current performance metrics and resource constraints to highlight specific areas for actionable improvements.

Can I use a local model to generate structured goal-setting plans for my team?▼

Yes, you can leverage a local model to process prompts and produce structured goal-setting plans that output bottlenecks, measurable improvements, success criteria, and the safest next experiment for your team.

Does self-improvement planning require predefined success criteria and constraints?▼

Providing current state and resource constraints is required for self-improvement planning, while success criteria are generated as an output alongside bottlenecks, actionable improvements, and the next experiment.

What is the best way to identify workflow bottlenecks from scattered observations?▼

Consolidate scattered observations into defined goals and current metrics to enable structured bottleneck analysis, which highlights specific obstacles and generates actionable improvements with measurable success criteria.

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