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Competitor Watch
Extracts material, primary-source news for a specific watchlist into a structured markdown digest.
$5
Competitor Watch
Example session with this skill installed
Run a digest for product 'SkyVault' against competitors 'Dropbox' (dropbox.com) and 'Box' (box.com) for the last 7 days. Save to docs/competitor-digest.md.
- Read your context and instructions
- Compiled the competitor watch
I have completed the competitor watch for SkyVault. I scanned official newsrooms and changelogs for Dropbox and Box within the specified 7-day window. One material event was identified and verified; two other mentions were dropped as non-material or reprints.
Competitor Digest
Product: SkyVault
Window: 2023-10-20 to 2023-10-27
Watchlist: Dropbox (dropbox.com), Box (box.com)
Status: ready
Published: no
[Dropbox] Product Launch: Dash for Business
- Date: 2023-10-25
- Category: product-launch
What changed: Dropbox introduced a new AI-powered universal search tool called Dash for Business with centralized admin controls.
- Why it matters: This directly competes with SkyVault's upcoming 'OmniSearch' feature set for enterprise teams.
Evidence: https://blog.dropbox.com/news/introducing-dropbox-dash-for-business
*
Quote: "Today we’re introducing Dropbox Dash for Business, an AI-powered universal search tool that connects all your tools, content, and apps in one place."
- Confidence: High
Coverage Gaps
- Box: No new material events found in official newsroom or changelog within this window.
Dropped
Dropbox: Reprints of the Dash announcement in trade press (TechCrunch, Verge) were collapsed into the primary event.
*
Box: Social media mentions regarding "Box Works" were excluded as they did not contain material product or pricing changes.
Next steps
- Review the
docs/competitor-digest.mdfor strategic alignment. - Run the
icp-positioningskill to update SkyVault's messaging against the new Dropbox Dash features. - Check for further updates in the next scheduled watch window.
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
Marketing teams often drown in generic news alerts and social noise, missing the specific product changes that actually impact their positioning. Most automated tools hallucinate rivals or fail to provide the primary source evidence required for strategic decision-making.
What it does
- Freezes a buyer-supplied watchlist to prevent the agent from inventing competitors or including irrelevant market noise.
- Scans official newsrooms, changelogs, pricing pages, and regulatory filings within a strict date window.
- Collapses multiple articles, rewrites, and press releases into a single, deduplicated material event.
- Enforces a "citation-only" rule, dropping any event that lacks a primary-source URL and a direct evidence quote.
- Outputs a structured markdown digest with material categories like pricing changes, product launches, and incidents.
Why this beats prompting it yourself
General prompts often lead to "market summaries" full of adjective-heavy fluff and unsourced rumors. This skill implements a rigorous data-binding procedure that treats web content as data, not instructions, ensuring you never see a reprint or a hallucinated rival. It maintains a strict contract for downstream agents, focusing entirely on extraction and verification rather than creative writing.
Use cases
- Monitor a specific cohort of rivals for pricing and SKU changes during a product launch.
- Generate weekly internal digests of competitor executive moves and funding rounds with verified sources.
- Audit competitor changelogs to identify gaps in your own product roadmap.
- Create a "clean" evidence file for a positioning agent to use in messaging refreshes.
Known limitations
The skill will block execution if a watchlist or date window is not provided. It cannot bypass paywalls or access private social media accounts.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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