Skills

Competitive Intel Watch

Scheduled delta monitoring against a prior competitive snapshot.

Install

npx skills add deanpeters/Product-Manager-Skills --skill competitive-intel-watch -g -a claude-code -y
Category
Engineering
Updated
20d ago
License
See repository
Context cost
Mediumabout 2,322 tokens
Runs scripts
No, instructions only

What it does

Scheduled delta monitoring against a prior competitive snapshot. Use when tracking competitors on a cadence: material shifts only, cited evidence, battle-card update flags, runs unattended.

Competitive Intel Watch

Purpose

Monitor a competitive landscape for material shifts since the last run. Diff the world against the previous snapshot; report only what changed, with evidence; flag which downstream artifacts need updating. This is the skill that turns competitive research from a document into a cadence, the weekly SIGINT sweep and monthly OSINT digest from the fusion cadence live here. A watch reports change, not state: regenerating the same report weekly is theater, and "no material shifts this cycle" is a valid, useful result.

Input

Works best with: the previous Competitive Research Snapshot (pasted or attached), the baseline this run diffs against, and the competitor list (defaults to those in the snapshot). Also useful: anything specific you're watching for this cycle, and a materiality bar adjustment if the default needs tightening or loosening.

Input supplied inline with the invocation, text after the skill name, a pasted context dump, or an appended ARGUMENTS: line, counts as answers already given. Use it against the question budget; don't re-ask.

Arriving empty-handed? That works too. With no prior snapshot, the skill falls back to baseline mode: it produces a first snapshot using the competitive-research-snapshot structure and stops, the delta value starts on run two.

Example invocation: Competitive intel watch, prior snapshot pasted below; this cycle I'm specifically watching for pricing moves. [snapshot]

Key Concepts

Read the whole SKILL.md on GitHub

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