mcp · Global

DDC_Skills_for_AI_Agents_in_Construction

221 AI skills for construction: BIM analysis, cost estimation, scheduling, document control, and automation with Claude Code

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What's in it

Data offered docs-verified: CWICR work item rate database (semantic search across national and global items) · BIM quantities and properties extracted to Excel (IFC/RVT)
Coverage docs-verified: Multi-market: 8 national bases + 30 markets (CWICR); UK-specific coverage not stated
Formats docs-verified: Markdown (SKILL.md) · Python scripts
Access docs-verified: Open source under MIT licence (per ENTRY metadata); no auth stated. Optional OpenAI API key needed for LLM-based skills.

Useful for

Use cases llm-inferred: Work item rate lookup for cost estimates via CWICR semantic search · Extracting BIM quantities from IFC models to Excel for takeoff checks · Budget vs actual cost tracking with scheduled comparisons
Audience llm-inferred: cost estimators · BIM and civils engineers · construction project managers · data and ETL analysts

Limitations

Constraints llm-inferred: Skills are instruction files (SKILL.md) that generate code; they are not a hosted data service and the entry lists no MCP tools · Generated code must be reviewed and adapted to your own data before running · Requires Python 3.9+ and basic Python knowledge; some skills need Docker, PostgreSQL/SQLite or an OpenAI API key · Construction-focused; no UK water, drainage or environmental data stated in DOCS · Entry is typed as mcp but tools list is empty

Licence: MIT
Authentication: Unknown — review source docs
GitHub stars: 351
Last commit: 22/08/2026
Last successful page check: 14/10/2026
Page health: healthy
Package: pypi:pandas
Verification: Not independently verified

Auto-extracted, unverified fields: tools, install, auth. Check upstream documentation.

Provenance & evidence

Daily discovery 2026-10-15: GitHub search; verified via GitHub API. Tools/install/auth auto-extracted from README.

Metadata observed 14/10/2026 · daily-2026-10-15 (github-search)