generic-feature-developer

generic-feature-developer is a skill for Claude Code, Codex from travisjneuman/.claude. It costs 41 tokens per session (1,433 once invoked), scanned A, original, MIT.

A general development guide for adding features, changing existing systems, and planning architecture across different technology stacks.

In plain words
What is it for?
Use it when starting a feature, modifying an existing system, comparing implementation approaches, or planning work across frontend, backend, full-stack, and automation projects.
Why use it?
It provides a repeatable way to understand a codebase, plan data flow, make small testable changes, and check the result without assuming one framework.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md.

Good fit Use it when starting a feature, modifying an existing system, comparing implementation approaches, or planning work across frontend, backend, full-stack, and automation projects.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/travisjneuman/.claude/generic-feature-developer
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 travisjneuman/.claude --skill generic-feature-developer
Clone the repo
git clone --depth 1 https://github.com/travisjneuman/.claude

Made for: Claude Code, Codex.

Wrote this? Show the measurements

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README.md
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Your own site
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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.

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Your own site · 80×15
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Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,433 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00041 $0.01433
Opus 5 $0.00020 $0.00717
Sonnet 5 $0.00008 $0.00287
Haiku 4.5 $0.00004 $0.00143

Measured 9d ago against content hash 053d2a59207d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

generic-feature-developer 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/generic-feature-developer/SKILL.md · 228 lines

How it starts

The opening of the file, as written. The whole thing — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Generic Feature Developer

Guide feature development across any tech stack.

When to Use This Skill

Use for:

  • Adding new features to existing codebase
  • Modifying or extending current systems
  • Planning architectural changes
  • Choosing between implementation approaches
  • Designing data flow for new functionality

Don't use when:

  • Pure UI/styling work → use generic-design-system
  • UX design decisions → use generic-ux-designer
  • Code review → use generic-code-reviewer

Development Workflow

  1. Understand - Read CLAUDE.md, identify affected files, list constraints
  2. Plan - Choose patterns, design data flow, identify edge cases
  3. Implement - Small testable changes, commit frequently
  4. Test & Document - Write tests, update docs, performance check

Architecture by Project Type

Static Sites

project/
├── index.html
├── css/           # variables.css, style.css
├── js/            # main.js, utils.js
└── assets/

Patterns: CSS variables, ES modules, event delegation

React/Next.js

src/
├── components/    # ui/, features/, layout/
├── hooks/
├── stores/
├── services/
└── types/

Patterns: Container/Presentational, custom hooks, Zustand/React Query

NestJS Backend

src/
├── modules/[feature]/
│   ├── feature.module.ts
│   ├── feature.controller.ts
│   ├── feature.service.ts
│   └── dto/
└── common/        # guards, decorators

Patterns: Module organization, DTOs, Guards, Prisma

Feature Decision Framework

Scope Assessment (First)

Scope Action
Single component Implement directly
Cross-cutting concern Design interface first
New subsystem Create architecture doc, get approval

Build vs Integrate

Factor Build Custom Use Library
Core to product Yes
Commodity feature Yes
Tight integration needed Yes
Time-critical Yes
Long-term ownership Yes

Read the full file on GitHub · 228 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. 9d ago First seen · 228 lines · 41 tokens per session scan A 053d2a59207d

Subscribe to this mod's changes

generic-feature-developer is a skill published in the GitHub repository travisjneuman/.claude (97 stars, last pushed 7d ago), licensed MIT. It adds 41 tokens to every session and 1,433 once invoked, about $0.0002 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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