ask-q8-future-plan

Name: ask-q8-future-plan
Availability: InStock
Author: shadowinlife

Aggregate forecasts, IR notes, and strategy disclosures to validate future planning against execution.

2|1|Updated Apr 17, 2026

Search Tags:#stock-analysis #annual-reports #evidence-harness #future-planning #ir-meetings #financial-forecasts

Ready to run

npx skills add https://github.com/shadowinlife/nano_quant_skills --skill ask-q8-future-plan

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ask-q8-future-plan
Source: https://github.com/shadowinlife/nano_quant_skills/tree/main/2min-company-analysis/ask-q8-future-plan
Command: npx skills add https://github.com/shadowinlife/nano_quant_skills --skill ask-q8-future-plan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires eight_questions_domain, structured_evidence_probes, external_evidence_collectors, single_question_cli, and includes scripts (resource) components.

What problem does it solve?

Assess a company’s future planning by aggregating forecasts, IR notes, and future strategy disclosures into a verifiable evidence set.

Core Features & Use Cases

Evidence harness integration: combines fin_forecast, fin_express, IR meetings, and annual reports to evaluate promise-realization.
Automated data collection: retrieves structured data from internal DB and external sources for rapid validation.
Robust validation: handles missing inputs and flags required human-in-the-loop review when evidence is incomplete.

Quick Start

Run the Q8 future plan evaluation by providing a stock code and optional date to trigger the end-to-end analysis.

Frequently Asked Questions about ask-q8-future-plan

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

FAQPage Schema

How do I validate a company's future planning against actual execution using annual reports and IR meetings?▼

You can validate future planning by aggregating forecasts, IR notes, and strategy disclosures into a verifiable evidence set. This process checks promise-realization by combining financial express data and annual reports to enable multi-year assessment and governance checks.

What is the best way to automate the collection of financial forecasts for stock analysis?▼

Automating financial forecast collection is best done by retrieving structured data from internal databases and external sources. This automated data collection rapidly validates future strategy disclosures by combining financial forecasts and IR meeting notes into a single evidence harness.

How does verifying future strategy disclosures work when financial forecast data is missing?▼

Verifying future strategy disclosures with missing data works by flagging required human-in-the-loop review. The validation process robustly handles incomplete evidence inputs, ensuring that gaps in financial forecasts or IR notes do not break the promise-realization assessment.

Can I use structured evidence probes to assess multi-year future planning for a specific stock?▼

Yes, you can use structured evidence probes to assess multi-year future planning by providing a stock code and optional date. This triggers an end-to-end analysis that retrieves structured data to evaluate future strategy disclosures and financial forecasts against actual execution.

Does this approach support governance checks for promise-realization using IR meeting notes?▼

Yes, this approach supports governance checks by integrating IR meeting notes with financial forecasts and annual reports. It aggregates these inputs into an evidence harness to validate promise-realization, enabling verified multi-year assessment of future planning.