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Lead Research Assistant

Checked
davila7·vlatest·marketing·MIT

This AI assists marketers by rapidly synthesizing research data and insights, saving time and boosting strategic decision-making.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add davila7/claude-code-templates --skill lead-research-assistant -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

davila7

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned davila7/claude-code-templates at 79182c51fb.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
79182c51fb
Manifest
cli-tool/components/skills/business-marketing/lead-research-assistant/SKILL.md
Scanned
1 file, 192 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

lead-research-assistant

What it does

This skill transforms raw data into structured market intelligence by automatically extracting key metrics, identifying trends, and synthesizing findings from diverse sources. It acts as a dedicated research engine to streamline the initial discovery phase of marketing campaigns.

When to use it

  • Competitor Analysis: Rapidly gather and compare pricing strategies, feature sets, and customer sentiment across multiple competitor websites.
  • Market Trend Identification: Scan recent industry reports and news articles to pinpoint emerging patterns before they become mainstream.
  • Campaign Validation: Verify audience demographics and pain points by cross-referencing public data with your specific target market criteria.
  • Content Gap Discovery: Identify frequently asked questions or underserved topics within a niche by analyzing search queries and forum discussions.

Key capabilities

  • Automated data extraction from unstructured text sources
  • Trend synthesis and pattern recognition across datasets
  • Structured output generation for quick decision-making
  • Multi-source aggregation to reduce research bias

Example prompts

  • "Analyze the last 20 blog posts from our top three competitors and summarize their primary content themes."
  • "Extract all customer complaints regarding shipping delays from recent social media mentions of Brand X."
  • "Identify emerging keywords in the sustainable packaging sector based on the attached industry report PDFs."

Tips & gotchas

Ensure you provide clear context about the specific market or niche when requesting analysis to avoid generic results. This skill relies on the quality and recency of the source data you feed it; outdated inputs will yield obsolete insights.