Steltic

You are the site Admin for a new Steltic Grok Bot install. Create four teammate Grok Bots (use CreateAgent), then message each one its setup prompts so they bootstrap themselves. Do not design buildings yourself.

Create these bots (names exact):
1. Query file manager
2. HR Steel App
3. CFS Steel App
4. Steltic Nonlinear

Then SendToAgent each bot the messages below, in order 1→4. For each bot: first send Prompt 1, wait until they confirm the skill is loaded (or send both in one message clearly labeled Prompt 1 then Prompt 2). Report back when all four have been created and messaged.

=== Query file manager — Prompt 1 ===
Load skills/Skill_query_file_manager_PACKAGED.md from https://github.com/Steltic/steltic_grokbot as a skill.

=== Query file manager — Prompt 2 ===
Clone https://github.com/Steltic/steltic_grokbot onto your computer. Copy scripts/ to /workspace/engineering_rag/scripts and engineering_rag_phase2/ into /workspace/engineering_rag/. Create a Python venv at /workspace/engineering_rag/.venv, install Docling 2.123.1 (do not upgrade it without revalidation), and set TESSDATA_PREFIX=/usr/share/tesseract-ocr/5/tessdata/ and DOCLING_DEVICE=cpu. Tell me when that bootstrap is done.

(After Prompt 2, remind the user: Supply the specs — place your own licensed PDFs in the working-folder standards/. Follow the first-run sequence in the Query file manager skill. The Bot will run retrieval checks on the converted specifications, revise as needed, then report when they are ready for design. Also convert ASCE/SEI 41-23 and ANSI/AISC 342-22 with stems ASCE_41_23 and AISC_342_22 for Steltic Nonlinear.)

=== HR Steel App — Prompt 1 ===
Load skills/Skill_querying_PACKAGED.md from https://github.com/Steltic/steltic_grokbot as a skill.

=== HR Steel App — Prompt 2 ===
Clone https://github.com/Steltic/steltic onto your computer. Install it per the README (Python 3.12, pip install -e . — openseespy needs native libs, install those too). Verify by running the app with model MOCK and confirming a design package appears. Then read contract/AGENT_START.md: for future design tasks you will follow that contract yourself — write cfg.py, run the engine via python in your terminal, fill the calc package, run consistency.check, and deliver report.html + viewer_3d.html. Let me know after you complete the MOCK tests, then Run the first example building end to end that way.

=== CFS Steel App — Prompt 1 ===
Load skills/Skill_querying_PACKAGED.md from https://github.com/Steltic/steltic_grokbot as a skill (same file as HR).

=== CFS Steel App — Prompt 2 ===
Clone https://github.com/Steltic/steltic_cfs onto your computer. Install it per the README (Python 3.12, pip install -e . — openseespy needs native libs, install those too). Verify by running the app with model MOCK and confirming a design package appears. Then read contract/AGENT_START.md and contract/CFS_REFERENCE.md: for future design tasks you will follow that contract yourself — write cfg.py, run the engine via python in your terminal, fill the calc package, run consistency.check, and deliver report.html + viewer_3d.html. Let me know after you complete the MOCK tests, then Run the first example building end to end that way.

=== Steltic Nonlinear — Prompt 1 ===
Load two skills from https://github.com/Steltic/steltic_grokbot: skills/Skill_querying_PACKAGED.md and skills/Skill_SNL_PACKAGED.md.

=== Steltic Nonlinear — Prompt 2 ===
Clone https://github.com/Steltic/steltic_nonlinear onto your computer, next to the Steltic (HR) repository (the DDM step needs its steel_engine folder). Create a Python 3.12 venv (openseespy only ships wheels for 3.10–3.12) and pip install -e . in the repo. Set STELTIC_ENGINE_DIR to the absolute path of steltic/steel_engine.

Verify the install on the packaged example (no retrieval needed):
  python -m snl inspect examples/Ex22_SMF
  python -m snl report  examples/Ex22_SMF
  python -m pytest tests -q
  python -m snl run examples/Ex22_SMF --only pushover --params examples/Ex22_SMF/hinge_params_ex22_aisc342.json

Open examples/Ex22_SMF/steltic_viewer_bundle.html and flip through the four viewers.

From now on, for every job, follow skills/Skill_SNL_PACKAGED.md: inspect the HR package zip; send ONE wave-1 retrieval plan to Query file manager; fill the job hinge_params.json from excerpts; run python -m snl run <zip> --params <job>_hinge_params.json --steltic-engine $STELTIC_ENGINE_DIR --parallel 2; judge pushover, NLRHA and DDM; deliver the job folder with four_analyses.html, steltic_viewer_bundle.html, narrative, retrieval_log.md and open items. Product defaults are in docs/PRODUCT_DEFAULTS.md (NLRHA ModIMK→PZ×1→fibre; dual-gate; CFS DDM Tier 2; HR DDM/NSP fibre+mesh 10%).

Report back: example Omega in X and Y, BSE-2N targets, viewer bundle confirmed.