co2-carbon-footprint
Calculate CO2 emissions and carbon footprint from BIM model data. Analyze embodied carbon by material, element, and building system.
Profil aset
Desain dan produksi kreatif
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Skenario
Desain dan kreatif
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Kecocokan Agent
Claude Code + CLI + Codex
Cocok untuk Codex, Claude Code, Cursor, CLI, atau Agent khusus.
Pasang
Siap
npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill co2-carbon-footprint
Pemeliharaan
Terkini
1 hari sejak push
Risiko
Perlu ditinjau
SKILL.md is incomplete; the provided content cuts off mid-code, lacking the full implementation, usage examples, and API documentation.
Kualitas GitHub
282
71/100 Kualitas · 71/100 Kepercayaan
Tag cakupan
Catatan ulasan
SKILL.md is incomplete; the provided content cuts off mid-code, lacking the full implementation, usage examples, and API documentation. · instructions.md is generic and not tailored to this specific skill, missing concrete steps for invoking the carbon calculation workflow.
Kartu adopsi Agent
Kepercayaan, audit, dan kesiapan pemasangan dalam sekali lihat
Skor ini menggabungkan metadata repositori publik, sinyal ulasan OpenAgentSkill, kebaruan pemeliharaan, dan kesiapan pemasangan. Ini adalah sinyal shortlist, bukan pengganti peninjauan manusia.
Kualitas
KuatSolid option that is likely worth shortlisting for production workflows.
Kepercayaan
Hanya sandboxKandidat berguna dengan sinyal kepercayaan yang kurang atau bercampur. Gunakan di ruang kerja terisolasi hingga loop hasil membuktikan kecocokan tugas.
Audit
Perlu ditinjauTinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.
Trust Score OpenAgentSkill v5
Tinjauan manusia sebelum pemasangan
Jalankan hanya dalam sandbox dan bandingkan alternatif terdekat sebelum digunakan untuk kerja nyata.
Star
282 star GitHub
Aktivitas repositori
282 star dan 74 fork
Pemeliharaan
1 hari sejak push
Lisensi
MIT
Pasang
npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill co2-carbon-footprint
Keamanan pemasangan
Jalur pemasangan paket atau runtime standar
Cakupan izin
Akses database
Hasil Agent
Belum ada data hasil Agent
Dokumentasi
Usable metadata, review docs
Ringkasan risiko
Tinjau sebelum produksi
- SKILL.md is incomplete; the provided content cuts off mid-code, lacking the full implementation, usage examples, and API documentation.
- Quality score needs review
Kesiapan pemasangan
Jalur pemasangan tersedia
- Jalur pemasangan tersedia
- Bukti repositori tersedia
- Lisensi dinyatakan
- Belum ada bukti hasil Agent-Proven
Metadata yang dapat dibaca Agent
Data keputusan yang dapat dibaca mesin untuk skill ini.
Gunakan blok ini atau JSON tersemat untuk memutuskan apakah Agent perlu memasang skill ini, memilih alternatif, atau meminta tinjauan manusia terlebih dahulu.
Tugas yang sesuai
- Alur kerja Agent riset
- Tim Claude Code
- builders willing to evaluate younger projects
- Sumber pencarian
Agent yang sesuai
Keputusan pemasangan
- Perintah
- npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill co2-carbon-footprint
- Kebijakan
- Tinjau
- Tinjauan manusia
- Ya
Kepercayaan dan risiko
- Kepercayaan
- 63/100
- Audit
- 79/100
- Tingkat risiko
- Perlu ditinjau
Lingkar hasil
- Endpoint
- /api/agent/outcome
- ID event
- resolve
- Hasil
- 5
Perintah pemasangan
npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill co2-carbon-footprintJangan gunakan ketika
- Tim yang membutuhkan SLA dengan dukungan vendor
- production agents without a repository review
- SKILL.md is incomplete; the provided content cuts off mid-code, lacking the full implementation, usage examples, and API documentation.
- No OpenAgentSkill engagement data yet
- instructions.md is generic and not tailored to this specific skill, missing concrete steps for invoking the carbon calculation workflow.
Skill alternatif
Frontend Design
171.1K Star
npx skills add anthropics/skills --skill frontend-design
Skill alternatif
Taste Skill: Anti-Slop Frontend
79.4K Star
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Skill alternatif
Canvas Design
171.1K Star
npx skills add anthropics/skills --skill canvas-design
Skill alternatif
Anthropic Brand Guidelines
171.1K Star
npx skills add anthropics/skills --skill brand-guidelines
Keamanan Agent v2
63/100 · Tinjau sebelum memasang
Kandidat yang dapat digunakan, tetapi Agent harus menampilkan catatan izin dan audit sebelum memasang.
Memerlukan persetujuan manusia sebelum memasang ke workspace nyata.
Sedang
Akses jaringan
Skill kemungkinan mengambil halaman jarak jauh, API, repositori, atau layanan eksternal.
Sedang
Akses database
Skill dapat memeriksa skema, mengkueri database, atau bekerja dengan penyimpanan persisten.
- SKILL.md is incomplete; the provided content cuts off mid-code, lacking the full implementation, usage examples, and API documentation.
Target pemasangan
Pasang skill ini di alur Agent Anda
Gunakan endpoint publik untuk mengambil perintah, checklist keamanan, prompt target, dan tautan kanonis.
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install datadrivenconstruction-co2-carbon-footprintRencana resolusi Agent
Biarkan Agent memverifikasi kecocokan sebelum memasang.
API Resolve mengembalikan skill utama, alternatif, kebijakan keamanan, catatan audit, target pemasangan, dan prompt siap pakai.
Buka JSON
/api/agent/resolve?task=Use%20co2-carbon-footprint%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Teks Resolve
/api/agent/resolve?task=Use%20co2-carbon-footprint%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Serah-terima pemasangan
/api/skills/datadrivenconstruction-co2-carbon-footprint/install
Agent harus memeriksa
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Salin prompt
Task: Use co2-carbon-footprint in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20co2-carbon-footprint%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/datadrivenconstruction-co2-carbon-footprint/install
Install command: npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill co2-carbon-footprint
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Serah-terima Agent
Berikan jalur pemasangan kepada Agent, bukan direktori lain.
Gunakan endpoint publik untuk mengambil perintah, checklist keamanan, prompt target, dan tautan kanonis.
Serah-terima pemasangan
/api/skills/datadrivenconstruction-co2-carbon-footprint/install
Format teks LLM
/api/skills/datadrivenconstruction-co2-carbon-footprint/install?format=text
Cari alternatif
/api/skills/search?q=co2-carbon-footprint&limit=3
Prompt Agent
Use co2-carbon-footprint for this task. Review https://www.openagentskill.com/api/skills/datadrivenconstruction-co2-carbon-footprint/install, then install with: npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill co2-carbon-footprintMetadata Registry
Profil yang dapat dibaca Agent untuk pemilihan skill otomatis.
API Registry menyediakan sinyal keputusan, kepercayaan, audit, use case, dan pemasangan tanpa mengikis UI.
Manifest
/api/registry/manifest/datadrivenconstruction-co2-carbon-footprint
Teks LLM
/api/registry/manifest/datadrivenconstruction-co2-carbon-footprint?format=text
Alias pemasangan
/api/registry/install/datadrivenconstruction-co2-carbon-footprint
Rekomendasikan
/api/registry/recommend?task=Use%20co2-carbon-footprint%20in%20an%20agent%20workflow&limit=3
Kecocokan Agent
Agent riset
Tag use case
Platform
Claude Code
Laporan audit
Perlu ditinjau · 79/100
Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.
Panel keputusan Agent
Fallback candidate for Research agents
Prototype with this skill first; keep a fallback candidate ready.
Peran di stack
Kandidat cadangan
Kecocokan utama
Agent riset
Label kepercayaan
Buat prototipe dulu
Jalur pemasangan
Perintah siap
Gunakan saat
- Alur kerja Agent riset
- Tim Claude Code
- builders willing to evaluate younger projects
Bukti
- recent repository activity
- install command or GitHub repo available
- profil kualitas 71/100
tinjau dulu
- SKILL.md is incomplete; the provided content cuts off mid-code, lacking the full implementation, usage examples, and API documentation.
- No OpenAgentSkill engagement data yet
Jalur implementasi
- 1Pasang di Agent sandbox dan jalankan satu tugas Agent riset dari awal hingga akhir.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Profil kepercayaan
Hanya sandbox
Kandidat berguna dengan sinyal kepercayaan yang kurang atau bercampur. Gunakan di ruang kerja terisolasi hingga loop hasil membuktikan kecocokan tugas.
Adopsi GitHub
Info282 star GitHub
Aktivitas star/fork
Info282 star dan 74 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Lulus1 hari sejak push
Kejelasan lisensi
LulusMIT
Sinyal positif
- Tinjauan AI disetujui
- Jalur pemasangan tersedia
- Bukti repositori tersedia
- Repositori yang baru dipelihara
- Perintah pemasangan tidak memiliki pola berisiko tinggi yang jelas
- Loop hasil siap tetapi membutuhkan eksekusi Agent nyata pertama
Tinjau sebelum memasang
- SKILL.md is incomplete; the provided content cuts off mid-code, lacking the full implementation, usage examples, and API documentation.
- Quality score needs review
- Belum ada laporan hasil Agent nyata
- Tinjauan manusia diperlukan sebelum pemasangan tanpa pengawasan
Tindakan yang disarankan
Jalankan hanya dalam sandbox dan bandingkan alternatif terdekat sebelum digunakan untuk kerja nyata.
Profil kualitas
Kuat kandidat untuk alur kerja Agent
Solid option that is likely worth shortlisting for production workflows.
Kecocokan alur kerja
Gunakan skill ini pada skenario berikut
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Automate repeated work
Workflow automation
I need my agent to automate a repeated workflow across tools and files.
Create assets
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Kecocokan alur kerja
Tambahkan ke alur kerja lengkap
Design, build, test, and ship interfaces
Frontend and UI
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Daftar alternatif
Bandingkan sebelum memasang
Similar skills that may fit this task.
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Taste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Canvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Anthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
Ringkasan
--- name: "co2-carbon-footprint" description: "Calculate CO2 emissions and carbon footprint from BIM model data. Analyze embodied carbon by material, element, and building system." homepage: "https://datadrivenconstruction.io" metadata: {"openclaw": {"emoji": "🔍", "os": ["darwin", "linux", "win32"], "homepage": "https://datadrivenconstruction.io", "requires": {"bins": ["python3"]}}} --- # CO2 Carbon Footprint Calculator
## Business Case
### Problem Statement Sustainability requirements demand carbon tracking: - Need to quantify embodied carbon - Material selection impact unclear - Reporting requirements increasing - No integration with BIM workflow
### Solution Calculate CO2 emissions from BIM quantities using EPD (Environmental Product Declaration) data and carbon coefficients.
### Business Value - **Sustainability** - Meet green building requirements - **Design optimization** - Identify high-carbon elements - **Reporting** - Automated carbon reports - **Decision support** - Compare material alternatives
## Technical Implementation
```python import pandas as pd from datetime import datetime from typing import Dict, Any, List, Optional, Tuple from dataclasses import dataclass, field from enum import Enum
class LifeCycleStage(Enum): """EN 15978 Life Cycle Stages.""" A1_A3 = "a1_a3" # Product stage A4 = "a4" # Transport to site A5 = "a5" # Construction B1_B7 = "b1_b7" # Use stage C1_C4 = "c1_c4" # End of life D = "d" # Beyond system boundary
class MaterialCategory(Enum): """Material categories for carbon calculation.""" CONCRETE = "concrete" STEEL = "steel" TIMBER = "timber" ALUMINUM = "aluminum" GLASS = "glass" BRICK = "brick" INSULATION = "insulation" GYPSUM = "gypsum" OTHER = "other"
@dataclass class CarbonCoefficient: """Carbon emission coefficient for a material.""" material: str category: MaterialCategory kgco2_per_unit: float # kg CO2e per unit unit: str # kg, m3, m2, etc. stage: LifeCycleStage source: str # EPD reference uncertainty: float = 0.1 # 10% default uncertainty
@dataclass class CarbonResult: """Carbon calculation result for an element.""" element_id: str element_name: str material: str category: MaterialCategory quantity: float unit: str kgco2_per_unit: float total_kgco2: float stage: LifeCycleStage level: str = "" notes: str = ""
@dataclass class CarbonSummary: """Carbon footprint summary.""" total_kgco2: float total_tonco2: float by_material: Dict[str, float] by_category: Dict[str, float] by_stage: Dict[str, float] by_level: Dict[str, float] element_count: int gfa: float # Gross Floor Area kgco2_per_m2: float
class CarbonCoefficientDatabase: """Database of carbon emission coefficients."""
def __init__(self): self.coefficients: List[CarbonCoefficient] = [] self._load_default_coefficients()
def _load_default_coefficients(self): """Load standard carbon coefficients (EPD-based).""" # Concrete products self.add_coefficient(CarbonCoefficient( material="Concrete C30/37", category=MaterialCategory.CONCRETE, kgco2_per_unit=250, unit="m3", stage=LifeCycleStage.A1_A3, source="Generic EPD - Concrete" )) self.add_coefficient(CarbonCoefficient( material="Concrete C40/50", category=MaterialCategory.CONCRETE, kgco2_per_unit=300, unit="m3", stage=LifeCycleStage.A1_A3, source="Generic EPD - High Strength Concrete" )) self.add_coefficient(CarbonCoefficient( material="Reinforcement Steel", category=MaterialCategory.STEEL, kgco2_per_unit=1.99, unit="kg", stage=LifeCycleStage.A1_A3, source="Generic EPD - Rebar" ))
# Steel products self.add_coefficient(CarbonCoefficient( material="Structural Steel", category=MaterialCategory.STEEL, kgco2_per_unit=2.5, unit="kg", stage=LifeCycleStage.A1_A3, source="Generic EPD - Structural Steel" )) self.add_coefficient(CarbonCoefficient( material="Steel Sheet", category=MaterialCategory.STEEL, kgco2_per_unit=2.3, unit="kg", stage=LifeCycleStage.A1_A3, source="Generic EPD - Sheet Metal" ))
# Timber products self.add_coefficient(CarbonCoefficient( material="Softwood Timber", category=MaterialCategory.TIMBER, kgco2_per_unit=-500, unit="m3", stage=LifeCycleStage.A1_A3, source="Generic EPD - CLT (carbon sequestration)" )) self.add_coefficient(CarbonCoefficient( material="Glulam", category=MaterialCategory.TIMBER, kgco2_per_unit=-350, unit="m3", stage=LifeCycleStage.A1_A3, source="Generic EPD - Glued Laminated Timber" ))
# Aluminum self.add_coefficient(CarbonCoefficient( material="Aluminum Profile", category=MaterialCategory.ALUMINUM, kgco2_per_unit=8.0, unit="kg", stage=LifeCycleStage.A1_A3, source="Generic EPD - Aluminum" ))
# Glass self.add_coefficient(CarbonCoefficient( material="Float Glass", category=MaterialCategory.GLASS, kgco2_per_unit=15.0, unit="m2", stage=LifeCycleStage.A1_A3, source="Generic EPD - Float Glass" )) self.add_coefficient(CarbonCoefficient( material="Double Glazing Unit", category=MaterialCategory.GLASS, kgco2_per_unit=35.0, unit="m2", stage=LifeCycleStage.A1_A3, source="Generic EPD - IGU" ))
# Masonry self.add_coefficient(CarbonCoefficient( material="Clay Brick", category=MaterialCategory.BRICK, kgco2_per_unit=0.24, unit="kg", stage=LifeCycleStage.A1_A3, source="Generic EPD - Clay Brick" ))
# Insulation self.add_coefficient(CarbonCoefficient( material="Mineral Wool", category=MaterialCategory.INSULATION, kgco2_per_unit=1.2, unit="kg", stage=LifeCycleStage.A1_A3, source="Generic EPD - Mineral Wool" )) self.add_coefficient(CarbonCoefficient( material="EPS Insulation", category=MaterialCategory.INSULATION, kgco2_per_unit=3.5, unit="kg", stage=LifeCycleStage.A1_A3, source="Generic EPD - EPS" ))
# Gypsum self.add_coefficient(CarbonCoefficient( material="Gypsum Board", category=MaterialCategory.GYPSUM, kgco2_per_unit=2.8, unit="m2", stage=LifeCycleStage.A1_A3, source="Generic EPD - Plasterboard" ))
def add_coefficient(self, coefficient: CarbonCoefficient): """Add carbon coefficient to database.""" self.coefficients.append(coefficient)
def find_coefficient(self, material_name: str, stage: LifeCycleStage = LifeCycleStage.A1_A3) -> Optional[CarbonCoefficient]: """Find matching coefficient for material.""" material_lower = material_name.lower()
# Direct match for coef in self.coefficients: if coef.material.lower() == material_lower and coef.stage == stage: return coef
# Partial match for coef in self.coefficients: if material_lower in coef.material.lower() or coef.material.lower() in material_lower: if coef.stage == stage: return coef
# Category match category = self._guess_category(material_name) for coef in self.coefficients: if coef.category == category and coef.stage == stage: return coef
return None
def _guess_category(self, material_name: str) -> MaterialCategory: """Guess material category from name.""" name_lower = material_name.lower()
if any(w in name_lower for w in ['concrete', 'cement', 'mortar']): return MaterialCategory.CONCRETE if any(w in name_lower for w in ['steel', 'iron', 'metal']): return MaterialCategory.STEEL if any(w in name_lower for w in ['wood', 'timber', 'lumber', 'plywood', 'clt']): return MaterialCategory.TIMBER if any(w in name_lower for w in ['aluminum', 'aluminium']): return MaterialCategory.ALUMINUM if any(w in name_lower for w in ['glass', 'glazing']): return MaterialCategory.GLASS if any(w in name_lower for w in ['brick', 'masonry', 'block']): return MaterialCategory.BRICK if any(w in name_lower for w in ['insulation', 'wool', 'foam', 'eps', 'xps']): return MaterialCategory.INSULATION if any(w in name_lower for w in ['gypsum', 'drywall', 'plaster']): return MaterialCategory.GYPSUM
return MaterialCategory.OTHER
class CO2FootprintCalculator: """Calculate carbon footprint from BIM data."""
def __init__(self, coefficient_db: CarbonCoefficientDatabase = None): self.db = coefficient_db or CarbonCoefficientDatabase() self.results: List[CarbonResult] = [] self.warnings: List[str] = []
def calculate_element(self, element: Dict[str, Any], stage: LifeCycleStage = LifeCycleStage.A1_A3) -> Optional[CarbonResult]: """Calculate carbon for single element.""" material = element.get('material', '') if not material: self.warnings.append(f"Element {element.get('element_id')} has no material") return None
coefficient = self.db.find_coefficient(material, stage) if not coefficient: self.warnings.append(f"No coefficient found for material: {material}") return None
# Get quantity in correct unit quantity = self._get_quantity(element, coefficient.unit) if quantity is None or quantity <= 0: return None
total_kgco2 = quantity * coefficient.kgco2_per_unit
result = CarbonResult( element_id=str(element.get('element_id', '')), element_name=str(element.get('name', '')), material=material, category=coefficient.category, quantity=quantity, unit=coefficient.unit, kgco2_per_unit=coefficient.kgco2_per_unit, total_kgco2=total_kgco2, stage=stage, level=str(element.get('level', '')) )
self.results.append(result) return result
def _get_quantity(self, element: Dict[str, Any], unit: str) -> Optional[float]: """Get quantity in required unit.""" unit_lower = unit.lower()
if unit_lower == 'm3': return float(element.get('volume', 0) or 0) elif unit_lower == 'm2': return float(element.get('area', 0) or 0) elif unit_lower in ['kg', 'kilogram']: # Try weight, then estimate from volume weight = element.get('weight', 0) if weight: return float(weight) # Estimate from volume with density volume = element.get('volume', 0) if volume: density = self._estimate_density(element.get('material', '')) return float(volume) * density elif unit_lower in ['m', 'meter']: return float(element.get('length', 0) or 0)
return None
def _estimate_density(self, material: str) -> float: """Estimate material density in kg/m3.""" material_lower = material.lower()
densities = { 'concrete': 2400, 'steel': 7850, 'timber': 500, 'aluminum': 2700, 'glass': 2500, 'brick': 1800, 'gypsum': 800 }
for key, density in de
Detail teknis
- Versi
- 1.0.0
- Lisensi
- MIT
- Pembaruan terakhir
- 22 Agu 2026
- Diterbitkan
- 22 Agu 2026
Ringkasan keputusan
Kandidat cadangan
recent repository activity
Audit
Tinjauan pemasangan
Tinjauan pemasangan dan adopsi
- Keamanan
- 81/100
- Pemeliharaan
- 100/100
- Pasang
- 92/100
Bukti tervalidasi Agent
Bukti tervalidasi Agent
Laporan hasil setelah resolve, tinjau, pasang, dan satu eksekusi terbatas.
- Tingkat sukses
- —
- Kegagalan terbaru
- —
- Hasil
- 0
- Kualitas output
- —
- Gagal
- 0
- Tidak relevan
- 0
- Pemasangan
- 0
- Diblokir risiko
- 0
- Perlu penyiapan
- 0
- Produksi
- 0
Belum ada data hasil Agent. Eksekusi pertama dapat melaporkan keberhasilan, kebutuhan setup, blok risiko, kegagalan, atau tidak relevan melalui /api/agent/outcome.
Pasang
Tambahkan ke alur Agent
Gratis dan sumber terbuka. Tinjau laporan sebelum memasang pada Agent produksi.
Siklus pertumbuhan
Kit berbagi
Draf berbasis skenario untuk co2-carbon-footprint, siap untuk posting manual di X.
co2-carbon-footprint: Calculate CO2 emissions and carbon footprint from BIM model data. Analyze embodied carbon by... 282 stars https://www.openagentskill.com/skills/datadrivenconstruction-co2-carbon-footprint?ref=x
Balasan opsional dengan perintah pemasangan
Listing + install path for co2-carbon-footprint: https://www.openagentskill.com/skills/datadrivenconstruction-co2-carbon-footprint?ref=x Install: npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --...
Sumber listing
Diindeks Registry
Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.
- Kreator
- datadrivenconstruction
- Diindeks oleh
- Indeks komunitas OpenAgentSkill
Atribusi menautkan ke repositori publik atau profil kreator. Kreator dapat mengklaim listing untuk memperbarui sinyal kepemilikan.
Klaim skill iniKlaim pemilik
Klaim listing skill ini
Listing Diindeks Registry ini dikaitkan dengan datadrivenconstruction, tetapi belum ditandai resmi. Klaim untuk menambahkan sinyal pemilik terverifikasi dan membuat pembaruan peluncuran, pemasangan, serta audit berikutnya lebih tepercaya.
Kit backlink kreator
Tambahkan badge bukti ke README Anda
Tampilkan listing kanonis, sinyal kepercayaan dan audit saat ini, serta bukti Agent-Proven nyata di tempat pengembang mengevaluasi repositori.
[](https://www.openagentskill.com/skills/datadrivenconstruction-co2-carbon-footprint)
[](https://www.openagentskill.com/skills/datadrivenconstruction-co2-carbon-footprint)
[](https://www.openagentskill.com/skills/datadrivenconstruction-co2-carbon-footprint/audit)
[](https://www.openagentskill.com/skills/datadrivenconstruction-co2-carbon-footprint)Penulis
datadrivenconstruction
@datadrivenconstruction
Tag
Kecocokan platform
Sinyal kesehatan
- Star GitHub
- 282
- Skor kualitas
- 40/100
- Push GitHub terakhir
- 22 Agu 2026
- Petunjuk framework
- Tidak diketahui
- Tampilan OpenAgentSkill
- 0
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