skills.rest
SingularAgency
SingularAgencyOFFICIAL
Explore all skills by this author →
GitHub

generate-report

Analyzes Read AI transcripts to generate an evidence-based HTML trustworthiness report.

Updated Aug 27, 2026
Search Tags:#rubric#transcripts#meeting-analysis#trustworthiness#read-ai#talent-evaluation
One-click install
npx skills add https://github.com/SingularAgency/claude-marketplace --skill generate-report-singularagency
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: generate-report
Source: https://github.com/SingularAgency/claude-marketplace/tree/main/plugins/trustworthiness-report/skills/generate-report
Command: npx skills add https://github.com/SingularAgency/claude-marketplace --skill generate-report-singularagency

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzes Read AI meeting transcripts to produce an evidence-based Trustworthiness Report for a named talent, enabling objective evaluation from actual meeting participation.

Core Features & Use Cases

  • Evidence-based evaluation across Read AI transcripts from the past month.
  • Multi-criteria scoring across Credibility, Reliability, Intimacy, Group Thinking, and English Proficiency.
  • Self-contained HTML report with inline styling for easy sharing and archival.

Quick Start

Provide the talent's name and target month/year, then run the report generation to produce a self-contained HTML file.

Frequently Asked Questions about generate-report

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

FAQPage Schema
How do I generate a trustworthiness report from Read AI transcripts?▼

To generate a trustworthiness report from Read AI transcripts, provide a talent's name and target month. The tool analyzes past 30 days of meeting participation and outputs a self-contained HTML file with scored criteria.

What criteria are used to evaluate talent trustworthiness in meeting analysis?▼

Talent trustworthiness evaluation in meeting analysis scores five criteria: Credibility, Reliability, Intimacy, Group Thinking, and English Proficiency. Evidence is extracted from Read AI transcripts and mapped to a defined scoring rubric.

Can I analyze Read AI transcripts older than 30 days for talent evaluation?▼

No, talent evaluation is limited to Read AI transcripts from the past 30 days. Meeting analysis strictly filters by this timeframe to ensure relevance and produce an evidence-based trustworthiness report.

What is the best way to share a trustworthiness report generated from meeting transcripts?▼

The best way to share a trustworthiness report is via its self-contained HTML output. The generated file features inline styling for professional presentation, making it ready for easy sharing and archival without external dependencies.

Do I need a specific scoring rubric to evaluate Read AI transcripts for talent evaluation?▼

Yes, talent evaluation requires a specific scoring rubric to analyze Read AI transcripts. The process satisfies a predefined rubric to objectively score Credibility, Reliability, Intimacy, Group Thinking, and English Proficiency from meeting participation.

Related Skills

Explore More Data & Analytics Skills→
evolution-foundationevolution-foundation
520

int-fathom

Retrieve Fathom meeting transcripts, AI summaries, and action items via API.

Official
Intermediate
hyperbolic-chyperbolic-c
5

pptx-posters

Convert HTML/CSS poster templates into PPTX or PDF posters for academic conferences.

Community
Basic
selcukyucelselcukyucel
1

eval-suite

Generate structured evaluation datasets with binary rubric scoring for AI outputs.

Community
Advanced
zm2231zm2231

source-analyzer

Evaluate credibility and bias of websites, articles, and publications.

Community
Advanced