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melech-distill-need

Uncover the real need behind a requested solution before building it.

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Price unconfirmed★ 24 GitHub starsRegistry updated · Oct 5, 2026agent-skill

Overview

Uncover the real need behind a requested solution before building it.

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Distill Need

The user's request is not scripture. It is usually a proposed solution.

People often:

do not know exactly what they are asking for
do not know what they actually need
do not know existing solutions already cover it

Naive AI bullseyes the words. Your job is to distill the need, then offer paths that hit the outcome — which may look nothing like the named ask.

Classic pattern:

Ask: "I need a faster horse."
Distill: get to B faster.
Better means: a car — or walk, if work is ten feet away.

What You Are Trying To Achieve

Separate:

Literal ask — the named feature, tool, or implementation
Actual need / goal — what must be true for the user to be happy
Context — constraints that can collapse or change the problem
Better means — including reuse, process change, or don't-build

Then let the user decide. Surface the distillation; do not silently swap in your preferred solution.

Workflow

1. Catch the proposed solution

Restate the literal ask in one line. Mark it as a proposed solution, not the mission.

2. Distill the outcome

Ask the smallest set of questions that reveal:

what must be true when this is done
why they want it now
what pain happens if nothing changes

Prefer 1–3 high-leverage questions. Batch when forks are clear. Do not run a long intake.

3. Check collapsing context

Look for facts that change the category of solution:

constraints, proximity, frequency, urgency, scale
who feels the pain
what "done" means in their world

If context is missing and would change the answer, ask for it. If you can infer safely from the repo/product, say the assumption.

4. Check existing solutions

Before inventing:

is there already a wheel in the codebase, product, or process
are they reinventing it
worse: reinventing it as a rectangle
if a known library, tool, or service may already do it, flag it for the user

Prefer integrate / reuse / configure over greenfield when it hits the need.

5. Offer solution categories

Give 1–3 meaningfully different means to the same outcome. At least consider:

don't build / manual / process / existing tool
smallest change to something that already exists
the named ask (or a cleaned version), if it still earns its place

For each path: outcome fit, cost, what you sacrifice, and when you'd choose it. Recommend one. User picks.

6. Hand off

If the need dies or "walk" wins → stop. No plan, no code.
If still build-shaped → move on to aligning the concept and picking the smallest useful path.
If they already had a direction and only needed holes poked → pressure-test that direction instead.

Question Filter

Ask only what would change:

the outcome definition
the solution category
whether building is justified
whether something existing already solves it

Do not ask implementation trivia. Do not invent requirements theater.

This is the intercept. It can end with don't build.

Do / Don't

Do: "You asked for a faster horse. Outcome seems to be: get to work faster. You live 10 feet away — walking beats breeding. If the real constraint is weather/status/cargo, say which and we re-open."

Don't: Start designing a horse-optimization service.

Do: "You asked for a new notification microservice. Need seems to be: users notice failed billing. Existing email + in-app banner may cover it. Options: (1) reuse banners, (2) extend current notifier, (3) new service. I recommend (1)."

Don't: Scaffold the microservice because that was the noun in the sentence.

Do: "Literal ask: custom RBAC engine. Distilled need: hide admin screens from non-admins. Role check on two routes may be enough. Confirm the outcome before we invent a policy framework."

Don't: Treat the named architecture as sacred.

Do: Recommend, then wait for the user to choose.

Don't: Silently replace their ask with your pet solution and start coding.

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File metadata

name: melech-distill-need
description: Uncover the real need behind a requested solution before building it.
disable-model-invocation: true

View original text

---
name: melech-distill-need
description: Uncover the real need behind a requested solution before building it.
disable-model-invocation: true
---

# Distill Need

The user's request is not scripture. It is usually a **proposed solution**.

People often:

- do not know exactly what they are asking for
- do not know what they actually need
- do not know existing solutions already cover it

Naive AI bullseyes the words. Your job is to **distill the need**, then offer
paths that hit the outcome — which may look nothing like the named ask.

Classic pattern:

- Ask: "I need a faster horse."
- Distill: get to B faster.
- Better means: a car — or walk, if work is ten feet away.

## What You Are Trying To Achieve

Separate:

1. **Literal ask** — the named feature, tool, or implementation
2. **Actual need / goal** — what must be true for the user to be happy
3. **Context** — constraints that can collapse or change the problem
4. **Better means** — including reuse, process change, or don't-build

Then let the **user decide**. Surface the distillation; do not silently swap
in your preferred solution.

## Workflow

### 1. Catch the proposed solution

Restate the literal ask in one line. Mark it as a proposed solution, not the
mission.

### 2. Distill the outcome

Ask the smallest set of questions that reveal:

- what must be true when this is done
- why they want it now
- what pain happens if nothing changes

Prefer 1–3 high-leverage questions. Batch when forks are clear.
Do not run a long intake.

### 3. Check collapsing context

Look for facts that change the category of solution:

- constraints, proximity, frequency, urgency, scale
- who feels the pain
- what "done" means in their world

If context is missing and would change the answer, ask for it.
If you can infer safely from the repo/product, say the assumption.

### 4. Check existing solutions

Before inventing:

- is there already a wheel in the codebase, product, or process
- are they reinventing it
- worse: reinventing it as a rectangle
- if a known library, tool, or service may already do it, flag it for the user

Prefer integrate / reuse / configure over greenfield when it hits the need.

### 5. Offer solution categories

Give 1–3 meaningfully different means to the same outcome. At least consider:

- **don't build** / manual / process / existing tool
- **smallest change** to something that already exists
- **the named ask** (or a cleaned version), if it still earns its place

For each path: outcome fit, cost, what you sacrifice, and when you'd choose it.
Recommend one. User picks.

### 6. Hand off

- If the need dies or "walk" wins → stop. No plan, no code.
- If still build-shaped → move on to aligning the concept and picking the smallest useful path.
- If they already had a direction and only needed holes poked → pressure-test that direction instead.

## Question Filter

Ask only what would change:

- the outcome definition
- the solution category
- whether building is justified
- whether something existing already solves it

Do not ask implementation trivia. Do not invent requirements theater.

This is the intercept. It can end with **don't build**.

## Do / Don't

**Do:** "You asked for a faster horse. Outcome seems to be: get to work faster. You live 10 feet away — walking beats breeding. If the real constraint is weather/status/cargo, say which and we re-open."

**Don't:** Start designing a horse-optimization service.

**Do:** "You asked for a new notification microservice. Need seems to be: users notice failed billing. Existing email + in-app banner may cover it. Options: (1) reuse banners, (2) extend current notifier, (3) new service. I recommend (1)."

**Don't:** Scaffold the microservice because that was the noun in the sentence.

**Do:** "Literal ask: custom RBAC engine. Distilled need: hide admin screens from non-admins. Role check on two routes may be enough. Confirm the outcome before we invent a policy framework."

**Don't:** Treat the named architecture as sacred.

**Do:** Recommend, then wait for the user to choose.

**Don't:** Silently replace their ask with your pet solution and start coding.

Review the source

Price & running costs

Get the skill: Price unconfirmed
Run it: Requirements have not been confirmed. Check the source for agent, API and service charges.
License: MIT
Price unconfirmed: We have not confirmed a price for this skill. Existing source and install links remain available.

Free to get does not mean free to run. Price labels are not safety ratings. Submit pricing information →

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: MIT

Financial research output is not financial advice; require human review before any live investment decision
Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
SKILL.md does not explicitly state an operational safety boundary, though the skill is purely conversational and performs no tool calls, file access, or code execution.
No explicit limitations section exists to clarify when the skill should be bypassed, such as cases where the user explicitly requests immediate execution with no discovery or where the requirement is already validated.
Low GitHub adoption signal
Financial research output is not financial advice; require human review before any live investment decision.
This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
Quality score needs review
GitHub adoption: 24 GitHub stars
Stars/forks activity: 24 stars, 3 forks; issue activity unavailable in current metadata
README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context

Open full audit

Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.

Start with one small task

1Read the source. Confirm the input, expected output, dependencies and permissions.
2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.

Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.

Source & usage notes

IndexedAI Reviewed

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: AdirD/agent-shell-hamelech
License: MIT
Version: Unknown
Last GitHub push: Oct 4, 2026
Registry updated: Oct 5, 2026
Instruction path: skills/melech-distill-need/SKILL.md @ 4e8060ab3e49

Version reported in registry metadata; check source releases before relying on it.

Quality

61/100

Promising

Trust

55/100

Do not auto-install

Audit

73/100

Risky

Open full audit View eval report

Financial research output is not financial advice; require human review before any live investment decision
Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
SKILL.md does not explicitly state an operational safety boundary, though the skill is purely conversational and performs no tool calls, file access, or code execution.
No explicit limitations section exists to clarify when the skill should be bypassed, such as cases where the user explicitly requests immediate execution with no discovery or where the requirement is already validated.
Low GitHub adoption signal
Financial research output is not financial advice; require human review before any live investment decision.
This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
Quality score needs review
GitHub adoption: 24 GitHub stars
Stars/forks activity: 24 stars, 3 forks; issue activity unavailable in current metadata
README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context

Verified installs: —
Outcomes: —

Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.

Agent access

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open install API LLM text format Open manifest Auto-resolve Plan

More details

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    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20melech-distill-need%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/adird-melech-distill-need/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/adird-melech-distill-need"
  }
}

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Creator: AdirD
Source: AdirD/agent-shell-hamelech
Indexed by: OpenAgentSkill community index

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[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/adird-melech-distill-need?metric=listed&label=Listed)](https://www.openagentskill.com/skills/adird-melech-distill-need?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/adird-melech-distill-need?metric=trust&label=Trust)](https://www.openagentskill.com/skills/adird-melech-distill-need?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/adird-melech-distill-need?metric=audit&label=Audit)](https://www.openagentskill.com/skills/adird-melech-distill-need/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/adird-melech-distill-need?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/adird-melech-distill-need?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

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Overview

Distill Need

What You Are Trying To Achieve

Workflow

1. Catch the proposed solution

2. Distill the outcome

3. Check collapsing context

4. Check existing solutions

5. Offer solution categories

6. Hand off

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