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@b68bf96

Research a company, industry, or competitor set using web search and seven analytical lenses. Use when you need structured intel that feeds downstream PM skills.

Use this Skill: https://skilld.dev/gh/deanpeters/product-manager-skills/company-intel

This session only. Nothing lands on disk.

examplesexecutive-signal-refresh.md

≈1.2k tokens on demand. Your agent reads this file only when SKILL.md points to it.

Company Intel — Executive Signal Refresh Example

All companies, executives, quotes, figures, and URLs are fictional, using the same surrogate universe as the SKILL.md examples. This shows the rerun pattern: the user previously ran company-intel on Helix Motion Systems (the baseline excerpts appear in SKILL.md's Examples section, dated June 2026), and now asks again a quarter later. The agent has the prior output in context, so it defaults to delta-first reporting — no "refresh" keyword needed.

Trigger: "Run company-intel on Helix Motion Systems again — earnings were last week."


What's Changed Since June 2026

1. The digital twin program has a name, a P&L owner — and a smaller scope

  • Then: volume hiring for digital-twin engineers and IoT platform architects across the Diversified Industrial segment; inference was that hiring ran ahead of organizational readiness.
  • Now: the program surfaced on the Q3 call as "Helix Foresight," assigned to the Aftermarket Services unit — "Foresight is an aftermarket offering first; we'll expand from our installed base rather than chase greenfield" (CFO, Q3 earnings call, Oct 2026, transcript URL).
  • Reading: the platform ambition got fenced into the services P&L — the segment-based org structure won, as the baseline inferred it would. For competitors: greenfield industrial-IoT deals just got less contested — Inference.
  • Confidence: high (named program, named owner, direct quote)

2. Hydrogen language shifted from products to partnerships

  • Then: patent clustering in hydrogen fuel-cell components; R&D outpacing product announcements — read as a decarbonization bet.
  • Now: two co-development agreements with OEMs announced; the CEO described hydrogen as "a partnered path to market" (investor day, Sep 2026, URL). Patent filings in the class continue — Fact (filings index).
  • Reading: the bet continues but the go-to-market changed — component supplier, not system seller. The competitive threat model shifts from "new rival product line" to "their components inside our OEMs' machines" — Inference.
  • Confidence: medium (two data points, one quarter)

Dropped Language

  • "Segment digital scorecards" — mentioned on four consecutive earnings calls through Q2; absent from the Q3 script and slides entirely. Paired with the Foresight re-scoping, the internal digital-metrics push looks quietly retired — a transformation program that died without a press release.
  • "Platform" — appeared 11 times in the Q2 materials, twice in Q3 (both times about Foresight). The vocabulary contraction matches the scope contraction; the narrative shift preceded any org announcement, which is why earnings materials get read as strategy documents.

Section 9 delta (Strategic Signals)

  • Leadership: the VP of Digital Transformation (hired 2025 from a platform-first rival) departed in September — four months after the strategy she embodied was re-scoped — Fact (announcement URL). Consistent with the "senior leader exits within 6 months of a strategy shift" HUMINT chain: the strategy is in trouble, or already re-decided.
  • Hiring: digital-twin postings down from ~40 to 6, now all within Aftermarket Services — Fact (job boards, Oct 2026).
  • Patents: hydrogen filings steady; no new digital-platform classifications this quarter.

Sections with no material change

Sections 2 (revenue model), 3 (customers), 5 (product lines), 7 (competitors): no significant change since June 2026. Second consecutive quiet quarter for Section 5 — for a company this acquisitive, sustained product-line quiet is itself worth one watchlist line.


Why this example works

  • It diffs; it doesn't regenerate. Eleven sections existed in the baseline; the refresh leads with two material shifts, a Dropped Language read, and one delta-focused section — plus an honest "no change" list. The reader spends three minutes and knows exactly what moved.
  • Dropped Language carries the headline. Nothing Helix said announced the digital retrenchment — the scorecard vocabulary vanishing and "platform" contracting 11→2 told the story a quarter before the VP's departure confirmed it. What leaders stop saying is the signal.
  • The Then/Now form keeps the baseline honest. Each shift quotes what the prior run recorded, so the inference chain (June: "hiring ahead of readiness" → October: "the org structure won") is auditable rather than retconned.
  • Quiet got graded, not padded. Four sections report no change in one line each — and one sustained quiet is flagged as a signal of its own.

Source: SKILL.md on GitHub

1 warning1mo3 checks · Risk SAFE
  • Gen Agent Trust Hub1mo

    This skill acts as a research engine for company and market intelligence, gathering data via web searches. It is generally safe for use, although it has a low risk of indirect prompt injection because it processes untrusted content from the internet that could contain instructions meant to trick the AI.

  • Socket1mo

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  • Snyk1mo

    Risk: MEDIUM · 1 issue

Signed by skilld at b68bf96. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub last month.

Activeupdated 2 months ago
argument-hint
[company, industry, or competitor set]
type
workflow
theme
market-intelligence
Other metadata
intent
Act as a research engine that builds deep, structured understanding of companies, industries, and competitor sets through **seven analytical lenses** — financial landscape, market offer, product portfolio, competitive dynamics, rising trends, PM implications, and strategic signals (patents, hiring, leadership). Produces a stable, structured output that downstream skills consume to generate battlecards, SWOT analyses, positioning statements, PESTEL assessments, and market sizing. Supports four entry points: single company, industry/sector, named competitor set, or company + "discover my competitors" (researches the company first, identifies likely competitors, confirms the list, then runs the full competitor set analysis).
best_for
[
  "Building deep company or industry knowledge before a client engagement or workshop",
  "Generating structured research that feeds battlecards, SWOT, positioning, or PESTEL",
  "Running a competitive scan across 3-5 companies with cross-company comparison",
  "Refreshing intel quarterly on companies you track"
]
scenarios
[
  "Run company-intel on [company or their domain, e.g. helix-motion.com]",
  "Give me intel on the clinical data management industry",
  "Compare [Company A], [Company B], and [Company C]",
  "Run company-intel on [company] competitors",
  "Refresh my intel on [company] — what's changed since last quarter?"
]
estimated_time
30-60 min

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