Skip to content
cccskills
FreePublished on GitHub

aizynthfinder

Use AiZynthFinder for retrosynthetic planning, configuration, route analysis, custom extensions, and focused development workflows.

The English summary is being prepared. Showing the original description.

Works withMongoDB
See how to install

Files included (29)

  • SKILL.md4.1 KB
  • references/repo-provenance.md1.8 KB
  • references/repo-routing-metadata.json340 B
  • references/troubleshooting.md3.9 KB
  • scripts/check_aizynthfinder_env.py5.5 KB
  • sub-skills/configuration-and-data/references/cli-tools.md6.1 KB
  • sub-skills/configuration-and-data/references/configuration.md9.1 KB
  • sub-skills/configuration-and-data/references/stocks-and-assets.md5.8 KB
  • sub-skills/configuration-and-data/references/troubleshooting.md8.0 KB
  • sub-skills/configuration-and-data/scripts/validate_aizynth_config.py27.3 KB
  • sub-skills/configuration-and-data/SKILL.md3.6 KB
  • sub-skills/extension-and-development/references/customization.md8.9 KB
  • sub-skills/extension-and-development/references/development-tests.md5.2 KB
  • sub-skills/extension-and-development/references/search-algorithms.md6.0 KB
  • sub-skills/extension-and-development/references/troubleshooting.md7.4 KB
  • sub-skills/extension-and-development/scripts/check_custom_aizynth_module.py16.3 KB
  • sub-skills/extension-and-development/SKILL.md2.9 KB
  • sub-skills/planning-workflows/references/api-reference.md6.8 KB
  • sub-skills/planning-workflows/references/cli-reference.md5.3 KB
  • sub-skills/planning-workflows/references/troubleshooting.md9.1 KB
  • sub-skills/planning-workflows/references/workflows.md7.6 KB
  • sub-skills/planning-workflows/scripts/build_aizynthcli_command.py4.6 KB
  • sub-skills/planning-workflows/SKILL.md2.8 KB
  • sub-skills/route-analysis/references/api-reference.md7.3 KB
  • sub-skills/route-analysis/references/output-formats.md5.6 KB
  • sub-skills/route-analysis/references/scoring-and-clustering.md6.9 KB
  • sub-skills/route-analysis/references/troubleshooting.md6.8 KB
  • sub-skills/route-analysis/scripts/summarize_aizynth_output.py13.0 KB
  • sub-skills/route-analysis/SKILL.md3.0 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

AiZynthFinder Repo Skill

Use this skill when a user is working with AiZynthFinder, a retrosynthetic route-finding package for planning molecule syntheses with policy-guided tree search.

First Steps

  1. Confirm the user has AiZynthFinder installed in a Python >=3.10,<3.13 environment.
  2. If the task mentions a config, stock, policy model, template library, public-data bundle, or optional service, start with configuration-and-data.
  3. If the task is to run retrosynthesis or one-step expansion, use planning-workflows.
  4. If the task starts from an existing output.json.gz, HDF5 output, trees.json, checkpoint, route collection, or reaction tree, use route-analysis.
  5. If the task is about custom scorers, stocks, policies, search algorithms, plugin strategies, hooks, or source edits, use extension-and-development.

Install and Import Check

For end users, install the public package with base dependencies unless the task needs optional features:

python -m pip install aizynthfinder
python - <<'PY'
from aizynthfinder.aizynthfinder import AiZynthFinder, AiZynthExpander
print(AiZynthFinder, AiZynthExpander)
PY

Use python -m pip install "aizynthfinder[all]" only when the task needs optional MongoDB, molbloom, route-distance, timeout, or similar extras. Use TensorFlow/gRPC-related extras only for TensorFlow Serving or remote model workflows.

Run scripts/check_aizynthfinder_env.py when diagnosing import, version, CLI, or optional-dependency availability without launching a search.

Sub-Skill Routes

  • planning-workflows: build and run aizynthcli commands, use AiZynthFinder or AiZynthExpander, handle single vs batch SMILES, checkpoints, multiprocessing, clustering flags, and GUI/notebook launch decisions.
  • configuration-and-data: write and validate YAML configs, stock files, policy/filter model references, public data commands, smiles2stock, download_public_data, and optional dependency choices.
  • route-analysis: inspect output.json.gz, HDF5 tables, trees.json, checkpoints, ReactionTree, RouteCollection, route scores, clustering, images, and result summaries.
  • extension-and-development: implement or validate custom hooks, stocks, scorers, policies, plugin expansion strategies, search algorithms, and focused source-checkout tests.

Shared References

  • Read references/troubleshooting.md for cross-cutting install, optional dependency, model/stock asset, CLI/API, and backend failures before drilling into sub-skill-specific troubleshooting.
  • Read references/repo-provenance.md before deciding whether this skill is current for an AiZynthFinder checkout or should be refreshed.
  • references/repo-routing-metadata.json is structured metadata used by the managed repo-skills-router during import.

Routing Guardrails

  • Do not run download_public_data, MongoDB stock creation, long retrosynthesis batches, GUI launches, or plugin service calls unless the user explicitly asks for those side effects.
  • Do not assume user assets exist. Configs normally require a stock file, an expansion policy model, and a reaction template library; filter policies are optional.
  • Prefer static validation and CLI/API help checks before running searches with user data.
  • Keep optional plugins and service-backed models separate from core install troubleshooting; missing Chemformer, ModelZoo, MongoDB, molbloom, route-distance, or TensorFlow Serving dependencies are feature-specific, not proof that core AiZynthFinder is broken.

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Routes 3D ResNets PyTorch video action-recognition workflows across training, inference, and data preparation.

The English summary is being prepared. Showing the original description.

VectorSpaceLab/AREX-Skill340Updated Sep 3, 2026

3ddfa

Free

Guide 3DDFA Python inference, geometry rendering, training/evaluation, and optional C++ ONNX workflows for 3D dense face alignment.

The English summary is being prepared. Showing the original description.

VectorSpaceLab/AREX-Skill340Updated Sep 3, 2026

Routes 3DDFA_V2 face-alignment setup, still-image demos, video tracking, and ONNX benchmarking workflows.

The English summary is being prepared. Showing the original description.

VectorSpaceLab/AREX-Skill340Updated Sep 3, 2026

Operate AB3DMOT 3D multi-object tracking workflows for KITTI and nuScenes data, tracking, evaluation, and visualization.

The English summary is being prepared. Showing the original description.

VectorSpaceLab/AREX-Skill340Updated Sep 3, 2026

Use Hugging Face Accelerate for PyTorch training-loop migration, distributed launch/configuration, DeepSpeed/FSDP/TPU backend setup, big-model inference/offload, checkpointing, tracking, and troubleshooting.

The English summary is being prepared. Showing the original description.

VectorSpaceLab/AREX-Skill340Updated Sep 3, 2026

acme

Free

Route Acme reinforcement-learning framework tasks across core loops, replay/data, JAX agents, and TensorFlow/Sonnet agents.

The English summary is being prepared. Showing the original description.

VectorSpaceLab/AREX-Skill340Updated Sep 3, 2026

See all skills by VectorSpaceLab

Report a problem with this skill