ViggyV/coding-agent
.claude/skills/agents/coding-agent/SKILL.md
Use when the user says /code or asks for end-to-end coding workflows like full-stack builds, quality audits, rapid prototypes, or debug chains - routes to the right pipeline and invokes pipeline-orchestrator to execute it
$ install --global
skillsauthnpx skillsauth add ViggyV/claude-skills coding-agentInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 17, 2026, 12:16 PM6.6s5 files scanned
SKILL.md
- name:
- coding-agent
- description:
- Use when the user says /code or asks for end-to-end coding workflows like full-stack builds, quality audits, rapid prototypes, or debug chains - routes to the right pipeline and invokes pipeline-orchestrator to execute it
Coding Agent
I'm using the coding-agent skill to orchestrate a coding pipeline.
Available Pipelines
| Command | Pipeline | What It Does |
|---------|----------|-------------|
| /code full-stack | full-stack.json | Brainstorm → plan → parallel build (backend, frontend, infra) → quality review → finish |
| /code quality | quality-gate.json | Code review → bug hunt → security audit → tests → performance → verify |
| /code prototype | rapid-prototype.json | API design → database → FastAPI → React → Docker |
| /code debug | debug-chain.json | Systematic debugging → root cause → bug hunt → test → verify |
Process
1. Route
If the user specifies a pipeline (e.g. /code full-stack), load it directly.
If the user says just /code or describes a task without specifying a pipeline, present the options:
Ask the user which pipeline fits their task:
- Full-Stack Build — End-to-end feature development with parallel workstreams
- Quality Gate — Comprehensive code quality audit and fixes
- Rapid Prototype — Fast MVP from idea to containerized app
- Debug Chain — Systematic debugging with root cause analysis
2. Gather Context
Ask the user for:
- What to build/fix/review — brief description of the task
- Project name — for file naming (default: current directory name)
- Mode — interactive (pause at gates) or autonomous (skip approval gates)
3. Execute
- Read the selected pipeline from
references/pipelines/{pipeline}.json - Attach user context to the pipeline object
- Invoke
pipeline-orchestratorto execute the pipeline
REQUIRED SUB-SKILL: agents/pipeline-orchestrator
4. Complete
After the orchestrator finishes, summarize:
- What was built/fixed/reviewed
- Key output files and their locations
- Any issues found during quality gates
- Next steps or follow-up actions
Integration
- Invoked by: User via
/codeor "help me build/debug/review" - Invokes:
pipeline-orchestrator(always), plus skills defined in pipeline JSONs - Related stacks:
full-stack-ai,backend-development,code-quality
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