Skip to content
cccskills
FreePublished on GitHub

decision-questionnaire

Create a Markdown questionnaire for decisions that depend on someone else's knowledge. Clarify the recipient and needed answers, then organize focused questions so an expert or stakeholder can respond before or during a meeting.

OriginalShow the original description

Turn an unanswerable decision into a questionnaire doc.

See how to install

Good for

  • Preparing questions for an expert
  • Collecting stakeholder input before a decision
  • Gathering specific answers during a meeting
  • Requesting vendor information in writing

Files included (1)

  • SKILL.md4.1 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Decision Questionnaire

Turns something the user can't answer alone into a questionnaire: a Markdown document they hand to one person to fill in async, or fill out together in a meeting. The recipient holds knowledge the user lacks; the questionnaire pulls it out of them.

Ported from mattpocock/skills' MIT-licensed to-questionnaire skill.

When to Use

  • A decision blocks on facts or judgment held by someone else (a domain expert, a stakeholder, a vendor contact, ops)
  • The user says "I need to ask X about this" or keeps deferring a decision pending someone else's input
  • Preparing for a meeting where specific answers must come back

Do NOT use when the answer is discoverable from the environment (codebase, docs, web) — find it yourself first.

Core Principle: Interview the Send, Not the Subject

The user cannot answer the subject-matter questions (that's the point), but they can ALWAYS answer questions about the send. Interview them only about that, in two short exchanges:

  1. Who is it going to? Role, expertise, relationship to the user. This fixes the questionnaire's tone and how much context it must carry. Done when you know who the recipient is and what they know that the user doesn't.
  2. What do you need back? The specific decisions or facts the user can't resolve alone. Done when you have a concrete list of what the user must walk away able to do or decide.

Then write the questionnaire: draft questions aimed at the gap between what the recipient knows and what the user needs, following the structure below. Write it to decision-questionnaire-<slug>.md in the current directory (slug from the topic) and report the absolute path. Done when the file exists and every item from step 2 is covered by a question.

Document Structure

Frame it as a discovery questionnaire: the user lacks context, the recipient holds it. Order questions most-important-first (async means you may only get one pass). Group under ## headings by theme once there are more than a handful.

Template:

# <Questionnaire title>

**Purpose:** why this questionnaire exists and the decision riding on it.

**From:** <the user> · **To:** <the recipient> ·
**How your answers will be used:** <where they go>

## Context

One paragraph orienting a recipient who wasn't in the user's head. Enough
to answer well, not a page.

## How to answer

Deadline and rough effort. Partial answers and "I don't know" are useful:
flag anything you're unsure of rather than skipping it.

## <Theme heading>

### <One question — a single idea, never compound>

_Why this matters: <one line, only where the question could be misread or
invite a throwaway answer>._

>

## Anything else?

A closing catch-all: anything we didn't ask that we should know?

Every question gets an answer stub (>) directly beneath it.

Pitfalls

  1. Grilling the user about the subject. They can't answer it — that's why the document exists. Only interview the send.
  2. Compound questions. One idea per question; split "and/or" questions.
  3. Burying the critical question. Most-important-first; async recipients fade.
  4. Context dump. One orienting paragraph, not the whole history.
  5. Skipping the "why this matters" line on ambiguous questions. It's what turns a throwaway answer into a useful one — but don't add it to questions that are already unambiguous.

Verification

  • Recipient's role/knowledge and the needed outcomes captured in two exchanges before drafting
  • Every step-2 item covered by at least one question
  • Questions single-idea, most-important-first, answer stubs present
  • File written and absolute path reported to the user

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

1password

FreeSummary

Set up the 1Password CLI and use stored passwords or API keys in commands and configuration templates. Choose an authentication method, retrieve secret references, and pass credentials to processes through environment variables.

  • Installing and configuring the 1Password CLI
  • Running commands with stored API keys
  • Filling configuration templates with stored secrets
NousResearch/hermes-agent255KUpdated Oct 18, 2026

Build an Excel workbook linking the income statement, balance sheet, and cash flow statement. Populate historical figures, create formula-based forecasts, compare scenarios, and check that balances and cash totals agree across all three statements.

  • Populating a financial model template with historical data
  • Building linked forecasts across three financial statements
  • Comparing base, upside, and downside scenarios
NousResearch/hermes-agent255KUpdated Oct 18, 2026

accelerate

FreeSummary

Adapt existing PyTorch training scripts to use multiple GPUs or machines with limited code changes. The skill guides configuration, launch commands, mixed precision, which uses lower-precision numbers, and DeepSpeed or FSDP settings for distributing training work and memory.

  • Move a single-GPU training script to multiple GPUs
  • Configure mixed precision training
  • Set up DeepSpeed or FSDP to reduce memory use
NousResearch/hermes-agent255KUpdated Oct 18, 2026

actual-setup

FreeSummary

Configure Hermes to run AI models through Actual Computer on your own hardware. Set up either the hosted relay or a local connection, select models, verify responses, and troubleshoot request errors or empty output.

  • Connecting Hermes with an Actual inference key
  • Running models through a local Actual daemon
  • Downloading and loading local models
NousResearch/hermes-agent255KUpdated Oct 18, 2026

Test an app from the perspective of a frustrated, less technical user. Find confusing steps and barriers, separate actionable usability problems from personal complaints, and produce screenshots, suggested fixes, and prioritized tickets.

  • Reviewing usability before a launch or demo
  • Checking the experience of a new user
  • Finding friction in signup and subscription flows
NousResearch/hermes-agent255KUpdated Oct 18, 2026

Resolve Git merge conflicts between two agents by comparing both changes and their stated goals. Combine compatible work, explain choices where designs differ, and verify the merged result with project builds or tests.

  • Resolving conflicts between branches edited by two agents
  • Integrating changes from parallel worktrees
  • Reviewing reasons for conflicting design choices
NousResearch/hermes-agent255KUpdated Oct 18, 2026

See all skills by NousResearch

Report a problem with this skill