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Option Overload Decision Filter

by haidong · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install option-overload-decision-filter
Description
Narrow an overwhelming list of tools, schools, apartments, jobs, vendors, products, courses, trips, or project ideas into a defensible 2-4 option shortlist....
README (SKILL.md)

Option Overload Decision Filter

Purpose

Turn a crowded option set into a small, usable shortlist. This skill works before a decision matrix: it removes weak, distracting, or under-evidenced options so the user can compare only the few choices that still deserve attention.

This is a prompt-only structured thinking workflow. It organizes criteria and evidence; it does not make high-stakes decisions for the user.

Use This Skill When

Use this skill when the user is stuck with too many options, such as:

  • Too many products, tools, vendors, apps, courses, schools, jobs, apartments, trips, contractors, project ideas, or life plans.
  • A long list that feels impossible to score deeply.
  • A need to define deal-breakers before comparing tradeoffs.
  • A decision deadline, budget limit, or attention limit that requires pruning.
  • Unclear separation between must-haves, nice-to-haves, social pressure, novelty, and fear-based preferences.

Do not use it to decide for the user, override expert advice, or rush decisions where safety, legal rights, medical care, immigration status, major finances, education, employment, or family welfare require qualified review.

Best Inputs

Ask for only what is needed. If the user gives a partial list, proceed with placeholders and a short question list.

  • The decision the user is trying to make.
  • Current option list and approximate option count.
  • Deadline or cost of delaying.
  • Budget, time, location, eligibility, capacity, or compatibility constraints.
  • The minimum acceptable outcome.
  • Known deal-breakers and must-haves.
  • Evidence already available for each option.
  • Stakeholders who must agree or be informed.

Workflow

  1. Frame the decision. State what is being chosen, why now, how many options exist, and what happens if the decision is late.
  2. Define good enough. Write the minimum acceptable outcome, including budget, time, quality, access, risk, and effort thresholds.
  3. Create knockout criteria. Identify non-negotiable requirements and remove options that clearly fail them.
  4. Separate criteria types. Sort inputs into must-haves, nice-to-haves, preferences, social pressure, novelty bias, fear-based criteria, and unknowns.
  5. Lightly screen survivors. Rate remaining options on fit, confidence in evidence, friction, reversibility, hidden cost, and stakeholder fit. Use simple labels rather than false precision.
  6. Expose evidence gaps. Identify the missing facts most likely to change the shortlist.
  7. Design quick tests. Create one short question, trial, visit, quote request, reference check, or research task for each finalist.
  8. Build the shortlist. Select 2-4 options, explain why each survived, name one risk to investigate, and set the next decision checkpoint.
  9. Recommend the next tool only if needed. Suggest a tradeoff map, decision matrix, reversible-decision check, assumption test, or expert review when the shortlist still has meaningful uncertainty.

Output Format

Return the decision filter in this order:

  1. Decision Frame
Field Detail
Decision
Current option count
Deadline
Cost of delay
Minimum acceptable outcome
  1. Knockout Criteria
Criterion Threshold Options removed Reason
  1. Criteria Sorting
Must-have Nice-to-have Preference or pressure Unknown
  1. Survivor Screen
Option Fit Evidence confidence Friction Reversibility Hidden cost Keep or cut

Use labels such as strong, acceptable, weak, unknown, low, medium, high, keep, cut, or test.

  1. Evidence Gaps and Quick Tests
Option Gap that matters Fastest test or question Owner Deadline
  1. Final Shortlist

List 2-4 options. For each, include:

  • Why it survived.
  • One remaining risk.
  • What evidence would eliminate it.
  1. Next Decision Step

A concise recommendation for what the user should do next: run the quick tests, compare finalists, consult a stakeholder, pause, or move to a deeper decision tool.

Safety Boundary

  • Do not make binding legal, medical, financial, immigration, employment, safety, housing, or education decisions for the user.
  • Do not pressure the user toward urgency when the consequences are high and expert review is appropriate.
  • Do not fabricate facts about options, vendors, schools, jobs, products, or people.
  • Do not treat incomplete evidence as certainty. Label assumptions and missing data clearly.
  • Encourage stakeholder confirmation when others will be materially affected.
  • For high-stakes or regulated decisions, frame the output as an organizing aid and recommend qualified professional guidance.

Example Prompts

  • "I have 18 project ideas and need to pick three to explore this month."
  • "Help me narrow down too many apartments before I tour them."
  • "I am comparing a dozen online courses and cannot tell what matters."
  • "Which five vendors should I ask for demos from this long list?"
  • "I have too many job options and want a shortlist before making a matrix."
Usage Guidance
This skill appears safe to install as a prompt-only planning aid. Use it to organize choices, but for consequential legal, medical, financial, immigration, employment, housing, education, or safety decisions, treat its output as a checklist and seek qualified advice where appropriate.
Capability Assessment
Purpose & Capability
The stated purpose is coherent: it helps users narrow many choices into a shortlist using criteria, evidence gaps, and quick tests.
Instruction Scope
The instructions are scoped to structured thinking and explicitly say not to make binding high-stakes legal, medical, financial, immigration, employment, safety, housing, or education decisions.
Install Mechanism
There is no install spec and the artifacts declare document-only content with no executable code.
Credentials
The skill requests no binaries, environment variables, API access, credentials, files, or operating-system permissions.
Persistence & Privilege
No persistence, background behavior, privileged access, memory storage, or account authority is described.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install option-overload-decision-filter
  3. After installation, invoke the skill by name or use /option-overload-decision-filter
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the option-overload-decision-filter skill. - Guides users in narrowing a large option set (tools, jobs, courses, etc.) to a focused 2-4 option shortlist. - Provides a structured, prompt-based workflow for defining thresholds, knockout criteria, evidence gaps, and next steps. - Emphasizes safe, defensible pruning of options before deep comparison tools are used. - Includes clear output formats and safety boundaries for responsible decision support.
Metadata
Slug option-overload-decision-filter
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Option Overload Decision Filter?

Narrow an overwhelming list of tools, schools, apartments, jobs, vendors, products, courses, trips, or project ideas into a defensible 2-4 option shortlist.... It is an AI Agent Skill for Claude Code / OpenClaw, with 20 downloads so far.

How do I install Option Overload Decision Filter?

Run "/install option-overload-decision-filter" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Option Overload Decision Filter free?

Yes, Option Overload Decision Filter is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Option Overload Decision Filter support?

Option Overload Decision Filter is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Option Overload Decision Filter?

It is built and maintained by haidong (@harrylabsj); the current version is v1.0.0.

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