القائمة
Multi-criteria decision analysis for solution options with weighted scoring and sensitivity analysis
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/a5c-ai/babysitter --skill options-scoringيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
استنادا إلى تصنيف SOC المهني
عرض SKILL.md
Reference for querying the Atlas knowledge graph through its MCP tools — the SECONDARY enrichment/comparison layer that adds best-practice context to systems you have ALREADY scanned from your real sources (`az`, repos, dirs). Use when you need to look up nodes, edges, kinds, clusters, stats, or wiki pages in Atlas to compare against your real inventory. (atlas graph, query atlas, atlas mcp, search the graph, graph neighbors, atlas record, atlas kinds, enrichment layer)
Atlas turns your STATED NEED into a real systems atlas by SCANNING your actual sources (Azure via `az`, git repos, local dirs) and process/data mining them, THEN enriching against the Atlas knowledge graph. Use this skill when asked to inventory/map your real systems, scan your cloud + repos + directories, mine the real processes or data they contain, or collect their real constraints/gotchas. (atlas, scan my systems, inventory our azure account, map my repos, real systems atlas, process mining, data mining, collect nuances, system discovery)
This skill should be used when the user asks to "find skills in the wild", "assimilate popular workflows", "discover SKILL.md files in repos", "research external skills", "find workflow patterns", "survey the skill landscape", "what skills exist out there", or wants to investigate public repositories for extractable processes, babysitter plugins, and reusable procedural insights. Searches GitHub for SKILL.md files, classifies repos by archetype, and maintains structured research under docs/reference-repos/.
| name | options-scoring |
| description | Multi-criteria decision analysis for solution options with weighted scoring and sensitivity analysis |
| allowed-tools | ["Read","Write","Glob","Grep","Bash"] |
| metadata | {"specialization":"business-analysis","domain":"business","id":"SK-014","category":"Decision Analysis"} |
| graph | {"domains":["domain:business-intelligence"],"specializations":["specialization:strategic-consulting"],"skillAreas":["skill-area:business-analysis","skill-area:strategic-analysis","skill-area:solution-architecture"],"workflows":["workflow:market-analysis"],"roles":["role:business-analyst","role:solution-architect"]} |
The Options Scoring Calculator skill provides specialized capabilities for multi-criteria decision analysis when evaluating solution options. This skill enables objective comparison of alternatives through weighted scoring, sensitivity analysis, and comprehensive recommendation development.
Define evaluation criteria for comparing these options:
[Options description]
Include criteria categories and recommended weights.
Calculate weighted scores for these options:
Criteria and Weights: [Criteria list with weights]
Options: [Option details with ratings]
Generate ranking and score breakdown.
Perform sensitivity analysis on this evaluation:
[Evaluation results]
Vary weights by +/- 20% and show impact on ranking.
Generate a recommendation from this analysis:
[Scored options with analysis]
Include confidence level and key considerations.
This skill integrates with the following business analysis processes:
| Criteria | Weight | Option A | Option B | Option C |
|---|---|---|---|---|
| Cost | 30% | 4 (1.2) | 3 (0.9) | 5 (1.5) |
| Quality | 25% | 5 (1.25) | 4 (1.0) | 3 (0.75) |
| Speed | 20% | 3 (0.6) | 5 (1.0) | 4 (0.8) |
| Risk | 15% | 4 (0.6) | 3 (0.45) | 4 (0.6) |
| Fit | 10% | 3 (0.3) | 4 (0.4) | 5 (0.5) |
| Total | 100% | 3.95 | 3.75 | 4.15 |
| Score | Description | Guidelines |
|---|---|---|
| 5 | Excellent | Exceeds all requirements |
| 4 | Good | Meets all requirements well |
| 3 | Acceptable | Meets minimum requirements |
| 2 | Poor | Partially meets requirements |
| 1 | Unacceptable | Does not meet requirements |
| Category | Example Criteria |
|---|---|
| Financial | Cost, ROI, TCO, Payback period |
| Technical | Performance, Scalability, Security |
| Operational | Ease of use, Maintenance, Support |
| Strategic | Alignment, Future-proofing, Innovation |
| Risk | Implementation risk, Vendor risk, Technology risk |
| Time | Time to implement, Time to value |
| Dimension | Key Questions |
|---|---|
| Technical | Can we build/implement it? Do we have the skills? |
| Operational | Can we operate it? Does it fit our processes? |
| Economic | Can we afford it? Is the ROI acceptable? |
| Legal | Does it comply with regulations? |
| Schedule | Can we deliver it in time? |
RECOMMENDATION: [Option X]
CONFIDENCE LEVEL: [High/Medium/Low]
RATIONALE:
- [Key strength 1]
- [Key strength 2]
- [Key strength 3]
KEY RISKS:
- [Risk 1 with mitigation]
- [Risk 2 with mitigation]
ALTERNATIVES CONSIDERED:
- Option Y: Not recommended because [reason]
- Option Z: Not recommended because [reason]
NEXT STEPS:
1. [Immediate action]
2. [Follow-up action]