heyayushh/council
configs/commands/skills/council/SKILL.md
Multi-agent exploration and task delegation for complex areas of interest. Use when you need to deeply explore a codebase area, gather information from multiple perspectives, or delegate parallel research tasks for comprehensive analysis.
$ install --global
skillsauthnpx skillsauth add heyayushh/stacc councilInstall 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: May 13, 2026, 2:25 AM178.3s1 file scanned
SKILL.md
- name:
- council
- description:
- Multi-agent exploration and task delegation for complex areas of interest. Use when you need to deeply explore a codebase area, gather information from multiple perspectives, or delegate parallel research tasks for comprehensive analysis.
Council
Multi-agent exploration workflow for complex codebase analysis.
Workflow
-
Initial exploration: Dig around the codebase for the given area of interest. Gather keywords, architecture overview, and general context.
-
Spawn task agents: Launch n=10 parallel task agents (unless specified otherwise) to explore deeper. Some agents should take unconventional approaches for variance.
-
Synthesize results: Once agents complete, use gathered information to fulfill the user's request.
Usage
If the user is in plan mode, use the collected information to create the plan.
Example invocation:
Based on [area of interest], spawn 10 agents to explore:
- Core implementation patterns
- Edge cases and error handling
- Integration points
- Test coverage
- Documentation gaps
- Performance characteristics
- Security considerations
- Alternative approaches
- Historical context (git history)
- Related systems
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