Analyze project-ops and PSA market data to produce sector briefs.
npx skills add https://github.com/erphq/skills --skill project-ops-tech
Please help me install this Agent Skill. Skill: project-ops-tech Source: https://github.com/erphq/skills/tree/main/investment-research/sectors/project-ops-tech Command: npx skills add https://github.com/erphq/skills --skill project-ops-tech
This skill helps analysts synthesize the project operations, PSA tooling, and work-management market landscape to inform investment decisions and sector understanding.
Analyze the project-ops-tech sector using the provided data to identify key players, trends, and opportunities.
High-intent search queries and answers about installing and using this skill.
Map sector dynamics by evaluating vendor positioning, KPI framing, and investment thesis development across PSA tooling and IT-services ecosystems. It synthesizes platforms like Monday and Smartsheet to identify key players and market opportunities.
Track KPIs like ARR, utilization, and bill rates to frame IT services and engineering sector analysis. These metrics guide investment thesis development and vendor positioning evaluation across public and private market segments.
Create and maintain a sector watchlist integrating both public tickers and notable private firms for project ops. This watchlist coverage guides ongoing research and reporting for investment decisions across the work-management landscape.
This approach provides a structured sector taxonomy for work-management platforms like Jira and Asana. It maps the ecosystem dynamics and vendor positioning to support domain understanding and concise sector brief generation.
Synthesize work-management platform ecosystems by mapping vendor positioning, sector dynamics, and KPI focus. This method supports investment thesis development and produces concise sector briefs covering public and private market segments.
rpoole-devAnalyze ARR, CAC, LTV, retention, and cohort data for software businesses.
gracefullightConsolidate stock and crypto price, indicator, and sentiment data into investment signals.
erphqAnalyze customer-support tech market structure and generate sector briefs and watchlists.
ViviennaMAOExtract KPIs from financial packages and compare them to budget plans.
