skill-name-1

Analyzes delegated expert subtasks and returns evidence-backed conclusions with risks and next steps.

7.1k|1.1k|Updated Mar 5, 2026

Search Tags:#expert analysis #evidence-based #structured reasoning #Multi-Agent #Risk Assessment #subtask delegation

One-click install

npx skills add https://github.com/openJiuwen-ai/jiuwenswarm --skill skill-name-1

Or copy as Structured Prompt for Agent▼

Please help me install this Agent Skill.
Skill: skill-name-1
Source: https://github.com/openJiuwen-ai/jiuwenswarm/tree/main/jiuwenswarm/resources/agent/workspace/plugins/agent_groups/sample-expert-group/skills/skill_name_1
Command: npx skills add https://github.com/openJiuwen-ai/jiuwenswarm --skill skill-name-1

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

When a Leader agent in a multi-agent team assigns a specialized subtask, the Member agent needs a consistent way to research, evaluate, and report back without fabricating information or overstepping its role. This Skill provides a structured analysis protocol so expert team members return rigorous, evidence-supported conclusions.

Core Features & Use Cases

Input Verification: Confirms the target question, known facts, constraints, deliverables, and acceptance criteria before starting, and states assumptions or reports gaps to the Leader.
Structured Analysis Rules: Separates facts, inferences, and recommendations; attaches sources or verifiable reasoning chains to key conclusions; considers at least one alternative explanation.
Standardized Reporting: Returns conclusions with confidence levels, key evidence, alternative options, risks, unverified items, and suggested next steps to the Leader.
Use Case: In a JiuwenSwarm expert group, a Member agent receives a subtask to evaluate a technical approach. It applies this Skill to produce a structured assessment with confidence levels and risks, which the Leader aggregates into the final team answer.

Quick Start

Analyze the assigned subtask using this skill and return conclusions with confidence, evidence, alternatives, risks, and recommended next steps to the Leader.

Frequently Asked Questions about skill-name-1

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

FAQPage Schema

How do I structure an expert analysis response in a multi-agent team?▼

Separate facts, inferences, and recommendations, attach sources or verifiable reasoning to key conclusions, and include at least one alternative explanation. Return conclusions with confidence levels, key evidence, risks, unverified items, and suggested next steps to the Leader.

What should an agent do when subtask information is missing?▼

If the missing information does not materially change the conclusion, state a reasonable assumption and continue the analysis. Otherwise, report the gap and its impact back to the Leader instead of fabricating data.

Can a Member agent expand the team goal or publish final answers?▼

No. The Member only handles its assigned specialized subtask and returns results to the Leader. Expanding team objectives or issuing final responses is the Leader's responsibility.

What are the limitations of this sample expert skill?▼

It is a generic template with general analysis rules rather than domain-specific knowledge. A production expert package should replace these rules with concrete domain expertise, data sources, and evaluation criteria.