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feature-to-outcome

feature-to-outcome is a skill for Claude Code, Codex from Grafuja/Product-Manager-Skills. It costs 101 tokens per session (3,319 once invoked), scanned A, original, MIT.

A method for rewriting feature descriptions as measurable results for a specific user or group. For example, it turns “build an API” into the business or user change the API should produce.

In plain words
What is it for?
Reframing projects, dashboards, APIs, refactoring, onboarding, and other outputs as outcomes with measures and deadlines.
Why use it?
It helps teams explain why work matters and gives them a way to tell whether the work succeeded.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 9repo 5mo ago A scan 101 tokens original MIT

Good fit Reframing projects, dashboards, APIs, refactoring, onboarding, and other outputs as outcomes with measures and deadlines.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/grafuja/product-manager-skills/feature-to-outcome
View source ↗ Grafuja/Product-Manager-Skills
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Grafuja/Product-Manager-Skills --skill feature-to-outcome
Clone the repo
git clone --depth 1 https://github.com/Grafuja/Product-Manager-Skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for feature-to-outcome

README.md
[![agentmods](https://agentmods.dev/badge/skills/grafuja/product-manager-skills/feature-to-outcome/github.svg)](https://agentmods.dev/skills/grafuja/product-manager-skills/feature-to-outcome)
Your own site
<a href="https://agentmods.dev/skills/grafuja/product-manager-skills/feature-to-outcome"><img src="https://agentmods.dev/badge/skills/grafuja/product-manager-skills/feature-to-outcome/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for feature-to-outcome

Your own site · 80×15
<a href="https://agentmods.dev/skills/grafuja/product-manager-skills/feature-to-outcome"><img src="https://agentmods.dev/badge/skills/grafuja/product-manager-skills/feature-to-outcome.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,319 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00101 $0.03319
Opus 5 $0.00051 $0.01659
Sonnet 5 $0.00020 $0.00664
Haiku 4.5 $0.00010 $0.00332

Measured 12d ago against content hash 29088d2088cc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

feature-to-outcome scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/feature-to-outcome/SKILL.md · 512 lines

How it starts

The opening of the file, as written. The whole thing — 512 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Feature to Outcome Translator

Transform feature/output descriptions into clear, measurable outcomes that communicate value and enable measurement of success.

Core Principle

Bad (Output): "Build API de integraciones"
Good (Outcome): "Desbloquear $500K en pipeline enterprise cerrando 3 deals con API en Q2"

The difference: Outcomes answer WHY and FOR WHOM, not just WHAT.

The Outcome Formula

Every good outcome follows this structure:

[Verbo de acción] + [métrica específica] + de [estado actual] a [estado deseado] + para [usuario/segmento] + en [plazo]

Components:

  1. Verbo de acción - Aumentar, reducir, mejorar, desbloquear, eliminar
  2. Métrica específica - Qué se mide (revenue, churn, tiempo, deals)
  3. De → A - Baseline → Target (numbers)
  4. Para quién - User segment, stakeholder, team
  5. Cuándo - Timeline (Q2, 6 meses, semana 8)

Transformation Workflow

Step 1: Capture the Feature

Ask: "What feature/project do you want to transform into an outcome?"

Accept any format:

  • "API de integraciones"
  • "Dashboard para CFOs"
  • "Refactoring del sistema de pagos"
  • "Nuevo onboarding"

Store: feature_input

Step 2: Discover the Problem

Ask the 5 Whys to uncover the real problem:

Question set:

  1. "What problem does this solve?"

    • If they say "users asked for it" → dig deeper: "What problem do THEY have?"

  2. "For whom? Which specific users/customers?"

    • Push for specificity: "All users or a segment?"
    • Examples: CFOs, enterprise customers, mobile users, operations team

  3. "What happens if we DON'T build this?"

    • This reveals the pain intensity
    • Examples: "We lose deals", "Users churn", "Team wastes 10h/week"

  4. "What metric improves when this works?"

    • Revenue, churn, time saved, deals closed, satisfaction, adoption
    • Push for ONE primary metric

  5. "How much improvement are we aiming for?"

    • From X to Y
    • By when?

Store answers:

  • problem - The core pain point
  • user_segment - Who feels this pain
  • metric - What we're measuring
  • baseline - Current state (X)
  • target - Desired state (Y)
  • timeline - When we achieve this

Read the full file on GitHub · 512 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 512 lines · 101 tokens per session scan A 29088d2088cc

Subscribe to this mod's changes

feature-to-outcome is a skill published in the GitHub repository Grafuja/Product-Manager-Skills (9 stars, last pushed 5mo ago), licensed MIT. It adds 101 tokens to every session and 3,319 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Planning
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