القائمة
Estimates company carbon footprint and environmental impact
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 carbon-footprint-estimatorيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
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/.
عرض SKILL.md
استنادا إلى تصنيف SOC المهني
| name | carbon-footprint-estimator |
| description | Estimates company carbon footprint and environmental impact |
| allowed-tools | ["Read","Write","Glob","Grep","Bash","WebFetch"] |
| metadata | {"specialization":"venture-capital","domain":"business","skill-id":"vc-skill-020"} |
| graph | {"domains":["domain:venture-capital"],"skillAreas":["skill-area:investment-analysis","skill-area:valuation-analysis","skill-area:financial-modeling"],"roles":["role:financial-analyst"]} |
The Carbon Footprint Estimator skill provides detailed estimation of company carbon footprints and environmental impact for ESG due diligence. It calculates Scope 1, 2, and 3 emissions and projects environmental impact trajectories.
Input: Company operations data, energy usage
Process: Apply emission factors, calculate totals
Output: Carbon footprint by scope, total CO2e
Input: Company footprint, industry sector
Process: Compare against benchmarks
Output: Benchmark comparison, percentile ranking
Input: Current footprint, growth plans
Process: Model future emissions scenarios
Output: Trajectory projection, growth-adjusted
Input: Current state, reduction initiatives
Process: Calculate reduction impact
Output: Scenario analysis, pathway to goals
| Scope | Categories | Data Sources |
|---|---|---|
| Scope 1 | Facilities, vehicles, processes | Fuel usage, fleet data |
| Scope 2 | Electricity, heating | Utility bills, provider mix |
| Scope 3 | Supply chain, travel, commuting | Spend data, travel records |