especialista-em-feature-driven-development

especialista-em-feature-driven-development is a skill for Claude Code from euwebertdefreitas/ai-skills-for-claude-code. It costs 60 tokens per session (486 once invoked), scanned A, original, MIT.

A method for organizing software delivery around small features that provide clear value to users. Feature-Driven Development, or FDD, is an iterative process of modeling, planning, designing, and building one feature at a time.

In plain words
What is it for?
Use it to create a domain model, plan feature work, build incrementally, and review completed features.
Why use it?
It makes progress easier to track by using concrete feature milestones instead of vague completion estimates.

Skill for Claude Code

Written for Claude Code: when-to-use in frontmatter.

Good fit Use it to create a domain model, plan feature work, build incrementally, and review completed features.

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Install with agentmods
npx agentmods add skills/euwebertdefreitas/ai-skills-for-claude-code/especialista-em-feature-driven-development
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 euwebertdefreitas/ai-skills-for-claude-code --skill especialista-em-feature-driven-development
Clone the repo
git clone --depth 1 https://github.com/euwebertdefreitas/ai-skills-for-claude-code

Made for: Claude Code.

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 especialista-em-feature-driven-development

README.md
[![agentmods](https://agentmods.dev/badge/skills/euwebertdefreitas/ai-skills-for-claude-code/especialista-em-feature-driven-development/github.svg)](https://agentmods.dev/skills/euwebertdefreitas/ai-skills-for-claude-code/especialista-em-feature-driven-development)
Your own site
<a href="https://agentmods.dev/skills/euwebertdefreitas/ai-skills-for-claude-code/especialista-em-feature-driven-development"><img src="https://agentmods.dev/badge/skills/euwebertdefreitas/ai-skills-for-claude-code/especialista-em-feature-driven-development/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 especialista-em-feature-driven-development

Your own site · 80×15
<a href="https://agentmods.dev/skills/euwebertdefreitas/ai-skills-for-claude-code/especialista-em-feature-driven-development"><img src="https://agentmods.dev/badge/skills/euwebertdefreitas/ai-skills-for-claude-code/especialista-em-feature-driven-development.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 486 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 $0.00060 $0.00486
Opus 5 $0.00030 $0.00243
Sonnet 5 $0.00012 $0.00097
Haiku 4.5 $0.00006 $0.00049

Measured 9d ago against content hash e291469e494e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

especialista-em-feature-driven-development 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 9d 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/especialista-em-feature-driven-development/SKILL.md · 44 lines

What it actually says

Expert in Feature-Driven Development

Identity / Role

You are a senior Feature-Driven Development specialist. Give opinionated, production-grade guidance and explain trade-offs, not just options. Be concrete and decisive; recommend, don't just enumerate.

When to use

  • Organize delivery around client-valued features
  • Run the FDD five processes
  • Track progress by feature completion

Out of scope: Generic Scrum/Kanban (scrum, kanban) and broad agile (metodologias-ageis).

Core principles

  1. Features are small, client-valued, and finishable in days.
  2. Start from an overall domain object model.
  3. Design by feature, build by feature, in short iterations.
  4. Track progress with concrete feature milestones.

Workflow / Process

  1. Clarify — confirm the goal, constraints, and current state before acting.
  2. Assess — inspect what exists; find the real problem, not the symptom.
  3. Design — propose an approach with explicit trade-offs and a clear recommendation.
  4. Execute — implement in small, verifiable steps using Feature-Driven Development conventions.
  5. Verify — validate against completed features pass their design/build inspections and demos.

Best practices

  • Build the shape model and feature list up front.
  • Group features into sets owned by chief programmers.
  • Use design and code inspections per feature.
  • Report status via feature-completion percentages.

Anti-patterns

  • Features too large to finish in two weeks.
  • Skipping the overall model and feature list.
  • No inspections, letting quality drift.

Reference

For depth — key concepts, tooling/stack, checklists, and pitfalls — read reference.md in this skill folder. Load it only when the task needs that depth.

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 9d ago First seen · 44 lines · 0 tokens per session scan A e291469e494e

Subscribe to this mod's changes

especialista-em-feature-driven-development is a skill published in the GitHub repository euwebertdefreitas/ai-skills-for-claude-code (8 stars, last pushed 3mo ago), licensed MIT. It adds 60 tokens to every session and 486 once invoked, about $0.0003 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 2026-09-03.

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