Bigdata Sector Playbook

by Bigdata-com2a52a0013662No license2 starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated yesterday

Build an actionable investment playbook for a sector using Bigdata.com data and sector-specific frameworks — the KPIs that actually matter in that sector, how to value companies in it and why, the live debates and where consensus sits on each, valuation context against the sector's own history, a sub-industry map with cycle position, screening criteria and sector-specific red flags, and an actionable setup of what to own, avoid, and watch. More operational than a sector analysis: it teaches how to invest the sector, not just how it is doing. Triggers: "sector playbook for X", "how do I analyze X companies", "what KPIs matter in X", "how to value X sector companies", "investing framework for X sector", "X sector cheat sheet".

Add to a SourceWeft workspace

  1. Open the skill in your dashboard and add it to a workspace.
  2. Enable it for the chats that should use it.

This skill is instructions only: it ships no scripts to execute.

Add to SourceWeft

You will be asked to sign in first, then taken straight to this skill.

Ask your agent to install it

Paste this prompt into Claude Code, Codex, Cursor or another agent that can run commands — or into SourceWeft chat. The agent reads this skill's install guide, shows you its source, license and scripts, and installs it with the SourceWeft CLI once you agree.

Read https://sourceweft.com/skills/gh-bigdata-com-bigdata-plugins-marketplace-bigdata-sector-playbook/install.md and install the skill it describes. Before installing, show me its source, license and whether it ships scripts, and wait for my OK. Ask me before changing anything else on my machine.

Read the install guide the agent follows

Install it yourself from a terminal

For Claude Code, Codex, Cursor and other local agents. The SourceWeft CLI fetches the skill from its source repository at the commit scanned here, and verifies every file against the hashes recorded when the skill was scanned. If anything differs, nothing is written.

npx @sourceweft/cli skills install gh-bigdata-com-bigdata-plugins-marketplace-bigdata-sector-playbook

Add --agent claude-code, codex, cursor or universal to choose which agent gets it (Claude Code by default).

Upstream installer — not verified by SourceWeft

The open-source skills installer fetches the same pinned commit, but does not check the files against the hashes SourceWeft recorded.

npx skills add https://github.com/Bigdata-com/bigdata-plugins-marketplace/tree/2a52a001366227e205cfa7565d78e8198dc42fa8/plugins/bigdata-com/skills/bigdata-sector-playbook

Source and attribution

Source:Bigdata-com/bigdata-plugins-marketplaceinplugins/bigdata-com/skills/bigdata-sector-playbookat commit2a52a00

License: No license

Content belongs to its original authors. SourceWeft indexes it from a public repository.

Report or request removal

More from Bigdata-com/bigdata-plugins-marketplace

Bigdata Thematic Research

Bigdata-com

Researches a cross-sector macro investment theme using Bigdata.com data and produces a cited thematic report with implementable ideas.

Research & Analysis2updated yesterday

Bigdata Sector Analysis

Bigdata-com

Analyzes a single market sector using Bigdata.com data, covering performance, valuations, cycle positioning, catalysts and a positioning call.

Business & Finance2updated yesterday

Bigdata Regional Comparison

Bigdata-com

Compares regions or blocs using Bigdata.com data and produces a cross-asset allocation recommendation.

Business & Finance2updated yesterday

Bigdata Quick Take

Bigdata-com

Produces a one-page PM-style quick take on a stock using Bigdata.com data, with a view, drivers, risks and next catalyst.

Business & Finance2updated yesterday

Bigdata Pre Ipo Analysis

Bigdata-com

Produces a balanced pre-IPO research note on an upcoming listing using S-1/F-1 filings and Bigdata.com data.

Business & Finance2updated yesterday

Bigdata Post Ipo Day365

Bigdata-com

Write a day-365 post-IPO note on the 366-day founder and significant-investor lock-up expiry and float expansion toward 15-20%, using Bigdata.com data plus filings and market data. Covers the staggered lock-up structure from the prospectus, float expansion math and days-to-trade, the offsetting float-adjusted index reweight demand netted against new supply, a realistic read on whether founders actually sell, the dual-class governance angle, and a two-sided setup. Balanced, no buy/avoid call. Triggers: "366-day lock-up for X", "founder lock-up expiry", "float expansion for X", "post-IPO one year lockup", "index reweight after float increase", "founder selling after IPO".

Awaiting classification2updated yesterday