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/generating-novel-ideas

@3323bc9
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Develop differentiated ideas for products, research, campaigns, names, or process changes. Use when the user asks to brainstorm, explore alternatives, escape generic concepts, or test a promising direction. Compare mechanisms and practical constraints; do not claim originality without an appropriately scoped search. Do not activate for proofreading, factual lookup, or implementing an exact spec.

Use this Skill: https://skilld.dev/gh/tristanmanchester/agent-skills/generating-novel-ideas

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referencesMODES.md

≈514 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Domain modes

Use the relevant adjustments, not every template. The user's brief and requested output take precedence over default portfolio structures.

Product or startup

Focus on a concrete user job, the closest substitute, the mechanism that changes an outcome, and a plausible initial offer. Include adoption/procurement, ownership, pricing, and data/trust assumptions where material. Verify current competitor and feasibility claims before presenting differentiation as established.

Research

State a falsifiable hypothesis or discriminating question, why the mechanism is plausible, relevant prior work, instrumentation/data needs, confounders, controls, and first experiment. Distinguish untested predictions from established findings. A literature gap is bounded by the search; absence of a retrieved paper is not proof the idea has never been studied.

Campaign or creative territory

Work from the audience, desired response, cultural context, channel, and available assets. Show the central concept with a few representative executions and risks. Do not invent trend evidence, testimonials, or performance forecasts. Adapt the mechanism to the channel rather than giving every concept the same format.

Naming

When the product concept is settled, stay within it. Explore useful verbal territories such as literal, evocative, metaphorical, or coined names, then compare fit, pronunciation, ambiguity, memorability, and unwanted associations. Check current availability only when relevant and authorised; domain availability alone does not establish trademark clearance. Do not reopen strategy to satisfy a mandatory concept-generation phase.

Process or service

Locate waiting, hand-offs, information loss, exception handling, and who carries risk or effort. Propose a first pilot with a measurable bottleneck and a realistic fallback. An automation that transfers work to an unacknowledged person has not necessarily removed the burden. Preserve accessibility, accountability, and intentional human approval where needed.

Source: SKILL.md on GitHub

skilld matched fixed text patterns in SKILL.md and file names. Patterns miss obfuscated code.

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  • Gen Agent Trust Hub1mo

    The skill provides a framework for generating and evaluating novel ideas, utilizing a local Python script for lexical diversity analysis. The analysis script implements robust input validation, including strict size limits and data type checks. Dynamic module loading is observed in the test suite, where it is used appropriately to load the skill's own components and standard libraries for validation purposes. No security vulnerabilities or malicious patterns were detected.

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    Risk: LOW · No issues

  • Runlayer7mo

    6 files scanned · No issues

  • ZeroLeaks6mo

    Score: 93/100 · 2 sections analyzed

Signed by skilld at 3323bc9. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 weeks ago.

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metadata
{
  "version": "2.1.0",
  "reviewed": "2026-09-13"
}
Other metadata
compatibility
No required external tools. Current market or technical claims need appropriate research. Optional lexical-overlap helper requires Python 3.10+ and no external packages.

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