Agent skill

Feature Dev

by secondsky in secondsky/claude-skills

Automate 7-phase feature development with specialized agents (code-explorer, code-architect, code-reviewer).

MITAuto-check: notesDevelopment

Install Feature Dev

skills CLI
$ npx skills add secondsky/claude-skills --skill feature-dev -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install secondsky/claude-skills feature-dev --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/secondsky/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/feature-dev/skills/feature-dev .claude/skills/feature-dev && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
feature-dev
GitHub stars
227
Token cost
~2.4k tokens
SKILL.md length
827 words
Files
1
Skills in repo
169
Repo updated
First seen
Licence
MIT

At a glance

Automate 7-phase feature development with specialized agents (code-explorer, code-architect, code-reviewer).

  • Works in 7 steps: Discovery → Codebase Exploration → Clarifying Questions → …
  • Multi-file features
  • SKILL.md covers Quick Start, Overview, The 7-Phase Workflow and Specialized Agents, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Feature Dev is an agent skill from secondsky/claude-skills. Automate 7-phase feature development with specialized agents (code-explorer, code-architect, code-reviewer). Use for multi-file features, architectural decisions, or encountering ambiguous requirements, integration patterns, design approach errors.

Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Code review and Third-party API integration. The repository describes itself as: Production-ready skills for Claude Code CLI - Cloudflare, React, Tailwind v4, and AI integrations. The licence is MIT.

When your agent uses it

  • Multi-file features
  • Architectural decisions
  • Encountering ambiguous requirements
  • Integration patterns

Example prompts

  • “/feature-dev”

Requirements

  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash, Task

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Discovery
  2. Codebase Exploration
  3. Clarifying Questions
  4. Architecture Design
  5. Implementation
  6. Quality Review
  7. Summary

What it can do on your machine

Read from SKILL.md and the folder at commit 8837836. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Bash
    • Task

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Feature Dev loads about 2.4k tokens when it runs. Until then it costs about 65 tokens; SKILL.md has 827 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~65
When it runs · the whole SKILL.md, loaded when a task matches
~2.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Write, Edit, Bash, Task

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from secondsky/claude-skills at commit 8837836, republished under its MIT licence (© secondsky). 827 words, ~2,428 tokens.

Download SKILL.mdSave it as .claude/skills/feature-dev/SKILL.md (or your agent's skills folder).
name
feature-dev
description
Automate 7-phase feature development with specialized agents (code-explorer, code-architect, code-reviewer). Use for multi-file features, architectural decisions, or encountering ambiguous requirements, integration patterns, design approach errors.
allowed-tools
Read, Write, Edit, Bash, Task
license
MIT
metadata.version
1.0.0
metadata.author
Sid Bidasaria
metadata.agents
code-explorer, code-architect, code-reviewer
metadata.keywords
feature development, code exploration, architecture design, code review, workflow automation, slash command, agents, discovery phase, implementation planning…

Feature Development Workflow

A comprehensive, structured workflow for feature development with specialized agents for codebase exploration, architecture design, and quality review.

Quick Start

Launch the guided feature development workflow:

bash
/feature-dev Add user authentication with OAuth

Or interactively:

bash
/feature-dev

The workflow will guide you through 7 distinct phases automatically.

Overview

Building features requires more than just writing code. This skill provides a systematic approach that:

  • Understands the codebase before making changes
  • Asks clarifying questions to resolve ambiguities
  • Designs thoughtfully with multiple architecture options
  • Reviews for quality after implementation

The 7-Phase Workflow

Phase 1: Discovery

Goal: Understand what needs to be built

  • Clarifies unclear feature requests
  • Identifies problem, constraints, and requirements
  • Summarizes understanding and confirms with user

Example:

User: /feature-dev Add caching
Agent: Let me understand what you need...
       - What should be cached? (API responses, computed values, etc.)
       - What are your performance requirements?
       - Do you have a preferred caching solution?
Phase 2: Codebase Exploration

Goal: Understand relevant existing code and patterns

  • Launches 2-3 code-explorer agents in parallel
  • Explores similar features, architecture, UI patterns
  • Reads all identified files for deep understanding
  • Presents comprehensive summary of findings

Agents launched:

  • "Find features similar to [feature] and trace implementation"
  • "Map the architecture and abstractions for [area]"
  • "Analyze current implementation of [related feature]"

Example output:

Found similar features:
- User authentication (src/auth/): Uses JWT tokens, middleware pattern
- Session management (src/session/): Redis-backed, 24hr expiry

Key files:
- src/auth/AuthService.ts:45 - Core authentication logic
- src/middleware/authMiddleware.ts:12 - Request authentication
Phase 3: Clarifying Questions

Goal: Fill in gaps and resolve all ambiguities

  • Reviews codebase findings and feature request
  • Identifies underspecified aspects (edge cases, error handling, integration points)
  • Presents organized list of questions
  • Waits for answers before proceeding

Example:

Before designing, I need to clarify:

1. OAuth provider: Which providers? (Google, GitHub, custom?)
2. User data: Store OAuth tokens or just profile?
3. Existing auth: Replace or add alongside current auth?
4. Sessions: Integrate with existing session management?
5. Error handling: How to handle OAuth failures?

Critical: Ensures nothing is ambiguous before design begins.

Phase 4: Architecture Design

Goal: Design multiple implementation approaches

  • Launches 2-3 code-architect agents with different focuses:
    • Minimal changes: Smallest change, maximum reuse
    • Clean architecture: Maintainability, elegant abstractions
    • Pragmatic balance: Speed + quality
  • Presents comparison with trade-offs and recommendation
  • Asks which approach to use

Example output:

Approach 1: Minimal Changes
- Extend existing AuthService with OAuth methods
Pros: Fast, low risk
Cons: Couples OAuth to existing auth

Approach 2: Clean Architecture
- New OAuthService with dedicated interface
Pros: Clean separation, testable
Cons: More files, more refactoring

Approach 3: Pragmatic Balance
- New OAuthProvider abstraction
Pros: Balanced complexity and cleanliness
Cons: Some coupling remains

Recommendation: Approach 3 - clean boundaries without excessive refactoring
Phase 5: Implementation

Goal: Build the feature

  • Waits for explicit approval before starting
  • Reads all relevant files from previous phases
  • Implements following chosen architecture
  • Follows codebase conventions strictly
  • Updates todos to track progress
Phase 6: Quality Review

Goal: Ensure code is simple, DRY, elegant, and functionally correct

  • Launches 3 code-reviewer agents in parallel:
    • Simplicity/DRY/Elegance: Code quality
    • Bugs/Correctness: Functional correctness
    • Conventions/Abstractions: Project standards
  • Consolidates findings and identifies high severity issues
  • Asks what to do: Fix now, fix later, or proceed as-is

Example output:

High Priority Issues:
1. Missing error handling in OAuth callback (src/auth/oauth.ts:67)
2. Memory leak: OAuth state not cleaned up (src/auth/oauth.ts:89)

Medium Priority:
1. Could simplify token refresh logic (src/auth/oauth.ts:120)

What would you like to do?
Phase 7: Summary

Goal: Document what was accomplished

  • Marks all todos complete
  • Summarizes what was built, key decisions, files modified
  • Suggests next steps

Specialized Agents

code-explorer

Purpose: Deeply analyzes existing codebase features by tracing execution paths

Focus:

  • Entry points and call chains
  • Data flow and transformations
  • Architecture layers and patterns
  • Implementation details

Output:

  • Entry points with file:line references
  • Step-by-step execution flow
  • Key components and responsibilities
  • Essential files to read

Triggered: Automatically in Phase 2, or manually

code-architect

Purpose: Designs feature architectures and implementation blueprints

Focus:

  • Codebase pattern analysis
  • Architecture decisions
  • Component design
  • Implementation roadmap

Output:

  • Patterns and conventions found
  • Architecture decision with rationale
  • Complete component design
  • Implementation map with build sequence

Triggered: Automatically in Phase 4, or manually

code-reviewer

Purpose: Reviews code for bugs, quality issues, and project conventions

Focus:

  • Project guideline compliance (CLAUDE.md)
  • Bug detection
  • Code quality issues
  • Confidence-based filtering (≥80% confidence only)

Output:

  • Critical issues (confidence 75-100)
  • Important issues (confidence 50-74)
  • Specific fixes with file:line references

Triggered: Automatically in Phase 6, or manually

Show full SKILL.md (321 more words)Show less

Usage Patterns

bash
/feature-dev Add rate limiting to API endpoints
Manual agent invocation

Explore a feature:

"Launch code-explorer to trace how authentication works"

Design architecture:

"Launch code-architect to design the caching layer"

Review code:

"Launch code-reviewer to check my recent changes"

When to Use

Use for:

  • New features that touch multiple files
  • Features requiring architectural decisions
  • Complex integrations with existing code
  • Features where requirements are somewhat unclear

Don't use for:

  • Single-line bug fixes
  • Trivial changes
  • Well-defined simple tasks
  • Urgent hotfixes

Best Practices

  1. Use the full workflow for complex features: The 7 phases ensure thorough planning
  2. Answer clarifying questions thoughtfully: Phase 3 prevents future confusion
  3. Choose architecture deliberately: Phase 4 gives options for a reason
  4. Don't skip code review: Phase 6 catches issues before production
  5. Read the suggested files: Phase 2 identifies key files—read them for context

Common Issues

Agents take too long

Cause: Normal for large codebases Solution: Agents run in parallel when possible. Thoroughness pays off in better understanding.

Too many clarifying questions

Cause: Feature request too vague Solution: Be more specific in initial request. Provide context about constraints upfront.

Architecture options overwhelming

Cause: Multiple valid approaches presented Solution: Trust the recommendation (based on codebase analysis). Pick pragmatic option when in doubt.

Requirements

  • Claude Code installed
  • Git repository (for code review)
  • Existing codebase (workflow learns from existing patterns)

Tips

  • Be specific in feature request: More detail = fewer clarifying questions
  • Trust the process: Each phase builds on the previous one
  • Review agent outputs: Agents provide valuable codebase insights
  • Don't skip phases: Each phase serves a purpose
  • Use for learning: Exploration phase teaches you about your own codebase

Verification Checklist

After using the workflow:

  • All 7 phases completed successfully
  • Clarifying questions answered in Phase 3
  • Architecture approach selected in Phase 4
  • Implementation approved before Phase 5 started
  • Code review findings addressed in Phase 6
  • Summary generated with next steps in Phase 7
  • Feature works as expected
  • Code follows project conventions

References

For detailed workflow documentation, see README.md

For agent specifications, see:

  • agents/code-explorer.md
  • agents/code-architect.md
  • agents/code-reviewer.md

For slash command implementation, see commands/feature-dev.md

© secondsky, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/feature-dev/skills/feature-dev of secondsky/claude-skills.

Open the folder on GitHubat commit 8837836

Compare with similar skills

Feature Dev next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Feature Dev compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Feature Dev this skillsecondsky/claude-skills227—~2.4kAutomated safety check: NotesMIT
Nestjs Code Reviewgiuseppe-trisciuoglio/developer-kit355—~2.3kAutomated safety check: NotesMIT
Backend Code Reviewlanggenius/dify158k—~676Automated safety check: PassCustom licence
Zodjasonjgardner/blockbench-mcp-plugin4913 repos~1.4kAutomated safety check: PassGPL-3.0
Performance CheckZeroDeng01/sublinkPro1.7k—~1.8kAutomated safety check: PassMIT
DDNS Provider DevelopmentNewFuture/DDNS4.7k—~558Automated safety check: PassMIT

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Questions about Feature Dev

What does Feature Dev do?

Automate 7-phase feature development with specialized agents (code-explorer, code-architect, code-reviewer). Feature Dev is an agent skill from secondsky/claude-skills. Automate 7-phase feature development with specialized agents (code-explorer, code-architect, code-reviewer).

When should I use Feature Dev?

Feature Dev fits situations like: multi-file features; architectural decisions; encountering ambiguous requirements; integration patterns.

How do I install Feature Dev in Claude Code?

Run `npx skills add secondsky/claude-skills --skill feature-dev -a claude-code`. Or copy the skill folder (plugins/feature-dev/skills/feature-dev in secondsky/claude-skills) into .claude/skills/feature-dev in your project. Claude Code loads it when a task matches its description.

How do I install Feature Dev in Codex?

Run `npx skills add secondsky/claude-skills --skill feature-dev -a codex`. Or copy the skill folder (plugins/feature-dev/skills/feature-dev in secondsky/claude-skills) into .agents/skills/feature-dev in your project. Codex loads it when a task matches its description.

Can I use Feature Dev in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add secondsky/claude-skills --skill feature-dev -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/feature-dev, .gemini/skills/feature-dev, .github/skills/feature-dev and .opencode/skills/feature-dev in your project.

What does Feature Dev need to run?

SKILL.md names no scripts, command-line tools or credentials: Feature Dev is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash, Task.

Does Feature Dev access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Feature Dev safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Feature Dev use?

Feature Dev is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Feature Dev use?

About 2.4k tokens (SKILL.md is roughly 9.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Feature Dev?

Skills that share tags, products or a category with Feature Dev: Nestjs Code Review (giuseppe-trisciuoglio/developer-kit, 355 stars), Backend Code Review (langgenius/dify, 158k stars), Zod (jasonjgardner/blockbench-mcp-plugin, 491 stars) and Performance Check (ZeroDeng01/sublinkPro, 1.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Feature Dev?

secondsky (a GitHub user) maintains it in secondsky/claude-skills, which has 227 GitHub stars. The repository holds 169 skills in this directory. The repository was last updated on September 28, 2026.

Source: secondsky/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.