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Weak Signal Synthesizer

Checked
nicepkg·vlatest·other·MIT

This skill synthesizes subtle, potentially valuable "weak signals" from data, helping users identify emerging trends and insights they might otherwise miss.

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 nicepkg/ai-workflow --skill weak-signal-synthesizer --full-depth -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

nicepkg

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 nicepkg/ai-workflow at d167b41af7.

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

Commit
d167b41af7
Manifest
workflows/content-creator-workflow/.claude/skills/weak-signal-synthesizer/SKILL.md
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

What it does

The Weak Signal Synthesizer skill helps AI agents identify emerging trends by connecting seemingly unrelated information from diverse sources. It monitors niche communities, academic research, GitHub activity, patents, funding rounds, and regulatory changes to uncover patterns that haven't yet reached mainstream awareness. The tool then generates predictions about what will trend in the next 3-6 months, along with confidence scores and supporting evidence.

When to use it

  • To anticipate future trends in a specific industry or technology area.
  • When seeking early indicators of shifts in public opinion or market demand.
  • For identifying potential investment opportunities based on emerging technologies.
  • To understand the connections between disparate data points that might suggest an upcoming change.

Key capabilities

  • Monitors niche Reddit communities, academic preprints, GitHub trending, patent filings, VC funding, and regulatory changes.
  • Uses graph theory to find unexpected connections between data sources.
  • Identifies patterns mentioned in 3+ disparate communities but not yet mainstream.
  • Generates "6 months from now" predictions with confidence scores.
  • Provides detailed output including: weak signal description, evidence sources, connection analysis, prediction, and confidence level.

Example prompts

  • “Help me identify emerging trends in the field of sustainable agriculture.”
  • “Generate a report on potential shifts in consumer behavior related to AI adoption.”
  • "Create a forecast for what will be trending in the generative AI space in 6 months."

Tips & gotchas

  • Be Specific: The more specific your request, the better the results. Focus on concrete and actionable outputs.
  • The skill’s predictions are based on "weak signals," which inherently carry some level of uncertainty. Consider the confidence scores provided alongside each prediction.
  • Utilize the provided output templates for copy-paste ready reports.