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SKILL verified MIT Self-run

Ai Coding Workflow

skill-ssrjkk-claude-skills-ai-coding-workflow · by ssrjkk

Modern AI-assisted development workflow

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Install

$ agentstack add skill-ssrjkk-claude-skills-ai-coding-workflow

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

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[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-ssrjkk-claude-skills-ai-coding-workflow)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

AI Coding Workflow

> A systematic approach to modern AI-assisted software development from spec to deployment.

Quick Start

# 1. Specification
cat > spec.md << 'EOF'
## Feature: User Authentication
- Email/password login with JWT
- OAuth (Google, GitHub)
- Session management with refresh tokens
- Rate limiting on login attempts
EOF

# 2. Architecture review with AI
claude -p "Review this spec for completeness. Identify missing edge cases and security considerations." < spec.md

# 3. Implementation with AI pair programming
claude -p "Implement the authentication system per spec.md. Use FastAPI, SQLAlchemy, and python-jose. Include comprehensive error handling."

# 4. Test generation
claude -p "Write pytest tests for the auth module. Cover: happy path, invalid credentials, token expiry, rate limiting, OAuth flow."

# 5. Code review
claude -p "Review the auth module for security vulnerabilities, specifically: SQL injection, JWT secret handling, timing attacks on comparison."

Key Concepts

The modern AI workflow: Spec → Architecture Review → Implementation → Test Generation → Code Review → Deployment. Each phase uses AI differently—from creative generation to critical analysis.

When to Use

  • Starting new projects with AI from the ground up
  • Adding complex features to existing codebases
  • Implementing security-critical code that needs thorough review

Validation

  1. Each phase produces artifacts (spec, tests, code) that build on previous phases
  2. AI-generated code passes existing test suite
  3. Security review identifies no critical vulnerabilities

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.