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Deal Momentum Analyzer

Checked
onewave-ai·vlatest·other·MIT

Analyzes game states to identify optimal moments for aggressive actions and strategic plays, boosting your win rate.

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 onewave-ai/claude-skills --skill deal-momentum-analyzer -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

onewave-ai

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 onewave-ai/claude-skills at f317e08649.

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

Scanned
1 file, 58 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

The deal-momentum-analyzer skill evaluates the current state of a negotiation or sales process to determine its trajectory. It identifies whether momentum is building, stalling, or shifting based on interaction patterns and data inputs. This tool helps agents make informed decisions about next steps by quantifying progress rather than relying on intuition.

When to use it

  • Assessing the health of a stalled negotiation before sending a follow-up message.
  • Determining if a sales pitch is resonating with the prospect based on response velocity.
  • Identifying early warning signs that a deal might slip through the cracks due to lack of engagement.
  • Comparing momentum across multiple active deals to prioritize immediate attention.

Key capabilities

  • Analyzes interaction history to calculate current deal velocity.
  • Detects shifts in sentiment or engagement levels over time.
  • Provides actionable insights on whether to accelerate, pause, or pivot the strategy.

Example prompts

  • "Analyze the momentum of Deal #402 based on our last three email exchanges."
  • "Is the sales cycle for Project Alpha gaining speed or losing traction compared to last week?"
  • "Compare the engagement levels between Client A and Client B to see who has higher deal momentum."

Tips & gotchas

Ensure you provide sufficient context about recent interactions, as the analyzer relies on historical data to detect trends. The tool is most effective when used regularly rather than only at critical decision points to catch subtle shifts early.