baidubce/famou-artifact-generator
skills/famou-artifact-generator/SKILL.md
Interactive end-to-end Famou workflow for defining, implementing, and solving optimization tasks. The workflow typically proceeds in three stages: (1) understand the data and define the task, producing `problem.md`; (2) implement and validate `evaluator.py`, `init.py`, and `prompt.md` from the task definition; (3) run deep solving through Famou. Trigger this skill whenever the user wants to define, clarify, create, or fix a Famou task; prepare Famou experiment artifacts; write or update `problem.md`, `evaluator.py`, `init.py`, or `prompt.md`; run Famou; do deep solving; or solve an optimization, ML, or search problem with evolutionary methods. Even if the user simply says "help me make a Famou task", "help me solve this", or "run Famou", trigger this skill whenever the surrounding context indicates an optimization or search task. Also trigger when the user describes a combinatorial optimization, scheduling, routing, or ML problem without mentioning Famou — treat it as a potential Famou task.
$ install --global
skillsauthnpx skillsauth add baidubce/skills famou-artifact-generatorInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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TrivyContainer and dependency vulnerability scanner
95%
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SemgrepStatic code analysis for vulnerabilities
95%
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mcp-scan (Snyk)Model Context Protocol security validation
95%
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Snyk (dep)Open source security scanning
50%
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Socket.devSupply chain security analysis
50%
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VirusTotalMulti-engine malware detection
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CrowdStrikeAdvanced threat intelligence
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OSV-ScannerOpen Source Vulnerability database check
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OWASP Dep-Check
50%
Last scanned: May 13, 2026, 2:02 AM142.3s8 files scanned
SKILL.md
- name:
- famou-artifact-generator
- description:
- Interactive end-to-end Famou workflow for defining, implementing, and solving optimization tasks. The workflow typically proceeds in three stages: (1) understand the data and define the task, producing `problem.md`; (2) implement and validate `evaluator.py`, `init.py`, and `prompt.md` from the task definition; (3) run deep solving through Famou. Trigger this skill whenever the user wants to define, clarify, create, or fix a Famou task; prepare Famou experiment artifacts; write or update `problem.md`, `evaluator.py`, `init.py`, or `prompt.md`; run Famou; do deep solving; or solve an optimization, ML, or search problem with evolutionary methods. Even if the user simply says \"help me make a Famou task\", \"help me solve this\", or \"run Famou\", trigger this skill whenever the surrounding context indicates an optimization or search task. Also trigger when the user describes a combinatorial optimization, scheduling, routing, or ML problem without mentioning Famou — treat it as a potential Famou task.
- author:
- famou-group
- version:
- 9.0
FaMou Workflow Router
Route user tasks to the correct workflow.
Responsibilities
- Identify task type from user description
- Select exactly one workflow file in
references/ - Delegate execution to that workflow
- Do not embed step details — those belong in workflows and components
Routing Rules
Priority order:
- User choice: If the user explicitly names a workflow, use it
- Automatic routing: Otherwise, match by task characteristics:
Workflow Selection
| Workflow | When to Use |
|----------|-------------|
| general | Generic optimization, search, planning, scheduling, or ML tasks — all other cases |
Execution Flow
- Route: Determine workflow based on routing rules
- Delegate: Read the selected file in
references/and follow its instructions - Exit: After delegation, router's job is complete
If uncertain, default to general workflow and note assumptions.
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