task-analyzer

Analyzes tasks and outputs ranked skill recommendations with confidence scores from a local index.

2|1|Updated Jan 16, 2026
One-click install
npx skills add https://github.com/tundraray/overture --skill task-analyzer-tundraray
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: task-analyzer
Source: https://github.com/tundraray/overture/tree/main/skills/task-analyzer
Command: npx skills add https://github.com/tundraray/overture --skill task-analyzer-tundraray

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill helps teams perform structured task analysis and intelligent skill matching to improve planning accuracy and workload distribution.

Core Features & Use Cases

  • Metacognitive Task Analysis: Identify core task essence, scale, and type to guide planning.
  • Skill Selection Guidance: Compare against project-local skills-index.yaml to surface relevant competencies.
  • Output for Planning: Produce metadata-rich recommendations that feed into work-plans and estimations.

Quick Start

To analyze a task, provide the task description and any constraints, and receive a structured set of recommended skills and a planning outline.

Frequently Asked Questions about task-analyzer

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

FAQPage Schema
How do I analyze a task and identify the required skills for project planning?

Task analysis identifies the core essence, scale, and type of a task to guide planning and surface required competencies. It compares task requirements against a local skills index to produce structured recommendations with confidence scores for workload distribution.

What is metacognitive task analysis and when do I need it for feature scoping?

Metacognitive task analysis is the process of evaluating a task's fundamental characteristics to understand its scope and requirements. You need it during feature scoping and project planning to improve estimation accuracy and ensure proper skill matching before execution.

How do I generate work estimations and skill recommendations from a task description?

Provide the task description and any constraints to generate a planning outline with metadata-rich recommendations. The output includes confidence scores and matches required competencies against a project-local skills index to feed directly into downstream work plans.

Can I use task analysis output for downstream work plans and workload distribution?

Task analysis output is designed specifically for downstream planning and workload distribution. It produces metadata-rich recommendations that integrate into work plans, helping teams allocate resources effectively based on confidence scores and matched skills.

Does task analysis require a local skills index to perform skill matching?

Skill matching compares task requirements against a project-local skills-index.yaml file to surface relevant competencies. The local index is necessary to generate accurate skill recommendations and confidence scores tailored to the specific project environment.

What is the best way to structure task analysis for accurate work estimation?

The best way to structure task analysis for work estimation is to provide a clear task description along with project constraints. This allows the system to identify the task essence and type, compare against local skills, and output structured recommendations with confidence scores.