Chdb Datastore
vemetric/vemetric
A skill your agent uses when the user has tabular data (pandas DataFrame, parquet, csv, Arrow, json) and wants to filter, group, aggregate, join, or speed up slow pandas.
Enforce synchronization between Kedro node files and catalog YAML files in the OptimusKG project.
$ npx skills add mims-harvard/OptimusKG --skill node-catalog-sync -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mims-harvard/OptimusKG node-catalog-sync --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/mims-harvard/OptimusKG.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/node-catalog-sync .claude/skills/node-catalog-sync && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "node-catalog-sync" agent skill from https://github.com/mims-harvard/OptimusKG/tree/main/.agents/skills/node-catalog-sync into .claude/skills/node-catalog-sync/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "node-catalog-sync", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mims-harvard/OptimusKG/tree/main/.agents/skills/node-catalog-syncType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mims-harvard/OptimusKG --skill node-catalog-sync -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mims-harvard/OptimusKG node-catalog-sync --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mims-harvard/OptimusKG.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/node-catalog-sync .agents/skills/node-catalog-sync && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "node-catalog-sync" agent skill from https://github.com/mims-harvard/OptimusKG/tree/main/.agents/skills/node-catalog-sync into .agents/skills/node-catalog-sync/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "node-catalog-sync", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mims-harvard/OptimusKG --skill node-catalog-sync -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mims-harvard/OptimusKG node-catalog-sync --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mims-harvard/OptimusKG.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/node-catalog-sync .cursor/skills/node-catalog-sync && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "node-catalog-sync" agent skill from https://github.com/mims-harvard/OptimusKG/tree/main/.agents/skills/node-catalog-sync into .cursor/skills/node-catalog-sync/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "node-catalog-sync", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mims-harvard/OptimusKG.git --path .agents/skills/node-catalog-sync--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mims-harvard/OptimusKG --skill node-catalog-sync -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mims-harvard/OptimusKG node-catalog-sync --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mims-harvard/OptimusKG.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/node-catalog-sync .gemini/skills/node-catalog-sync && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "node-catalog-sync" agent skill from https://github.com/mims-harvard/OptimusKG/tree/main/.agents/skills/node-catalog-sync into .gemini/skills/node-catalog-sync/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "node-catalog-sync", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mims-harvard/OptimusKG node-catalog-syncInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mims-harvard/OptimusKG --skill node-catalog-sync -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mims-harvard/OptimusKG.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/node-catalog-sync .github/skills/node-catalog-sync && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "node-catalog-sync" agent skill from https://github.com/mims-harvard/OptimusKG/tree/main/.agents/skills/node-catalog-sync into .github/skills/node-catalog-sync/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "node-catalog-sync", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mims-harvard/OptimusKG --skill node-catalog-sync -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mims-harvard/OptimusKG node-catalog-sync --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mims-harvard/OptimusKG.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/node-catalog-sync .opencode/skills/node-catalog-sync && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "node-catalog-sync" agent skill from https://github.com/mims-harvard/OptimusKG/tree/main/.agents/skills/node-catalog-sync into .opencode/skills/node-catalog-sync/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "node-catalog-sync", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
node-catalog-syncEnforce synchronization between Kedro node files and catalog YAML files in the OptimusKG project.
Node Catalog Sync is an agent skill from mims-harvard/OptimusKG. Enforce synchronization between Kedro node files and catalog YAML files in the OptimusKG project. Use when editing any Python node file under optimuskg/pipelines//nodes/, including modifying run() functions, changing node() inputs/outputs, adding/removing/renaming DataFrame columns, or changing column types. Also use when creating new nodes or deleting existing ones.
Its SKILL.md is about 820 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Data & Analytics, covering DataFrames. It works with Python. The repository describes itself as: A modern multimodal knowledge graph with type-specific metadata across biomedical domains. The licence is MIT.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 4fb3529. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
uvFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Node Catalog Sync loads about 823 tokens when it runs. Until then it costs about 97 tokens; SKILL.md has 288 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from mims-harvard/OptimusKG at commit 4fb3529, republished under its MIT licence (© mims-harvard). 288 words, ~823 tokens.
.claude/skills/node-catalog-sync/SKILL.md (or your agent's skills folder).When a node file is edited, the corresponding catalog YAML files must be updated to stay in sync.
Node outputs are namespace-prefixed by pipeline.py. Use this table to locate catalog files:
| Layer | Node outputs | Catalog ID | YAML path | filepath |
|---|---|---|---|---|
| Bronze | "{src}.{name}" | bronze.{src}.{name} | conf/base/catalog/bronze/{src}/{name}.yml | data/bronze/{src}/{name}.parquet |
| Silver nodes | "nodes.{entity}" | silver.nodes.{entity} | conf/base/catalog/silver/nodes/{entity}.yml | data/silver/nodes/{entity}.parquet |
| Silver edges | "edges.{e1}_{e2}" | silver.edges.{e1}_{e2} | conf/base/catalog/silver/edges/{e1}_{e2}.yml | data/silver/edges/{e1}_{e2}.parquet |
| Gold | "kg.{fmt}" | gold.kg.{fmt} | conf/base/catalog/gold/{fmt}.yml | data/gold/kg/{fmt}/ |
Multiple outputs (list) produce one YAML file per output.
Follow all 4 steps in order after every node file edit.
node() call in the edited file to find outputs (string or list).pipeline.py (e.g., namespace="bronze").{namespace}.{output}.Only if the outputs value in the node() call changed:
filepath following the convention in the path mapping table.uv run kedro run --nodes={node_name}uv run cli sync-catalog --dataset {catalog_id}load_args.schema and metadata.checksum in the YAML automatically.--dry-run to preview changes first.--validate to check without writing (useful in CI).DryRunner (no execution, just shows the DAG):uv run kedro run --from-nodes={node_name} --runner=optimuskg.runners.DryRunneruv run kedro run --from-nodes={node_name}uv run cli sync-catalog{catalog_id}:
type: optimuskg.datasets.polars.ParquetDataset
filepath: data/{layer}/{path}.parquet
load_args:
schema:
column_name: pl.Type
struct_column:
nested_field: pl.Type
metadata:
checksum: {blake2b_hex_digest}
kedro-viz:
layer: {layer}© mims-harvard, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/node-catalog-sync of mims-harvard/OptimusKG.
Open the folder on GitHubat commit 4fb3529
Node Catalog Sync next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Node Catalog Sync this skillmims-harvard/OptimusKG | 146 | — | ~823 | Automated safety check: Pass | MIT | |
| Chdb Datastorevemetric/vemetric | 394 | 2 repos | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Polar Python SDKpolarsource/polar | 10k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| CSV Data Summarizercoffeefuelbump/csv-data-summarizer-claude-skill | 468 | 2 repos | ~1.4k | Automated safety check: Pass | None | |
| Python Executorcortega26/chile-hub | 113 | 2 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Retentioneering Product Analyticsretentioneering/retentioneering-tools | 920 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 |
vemetric/vemetric
A skill your agent uses when the user has tabular data (pandas DataFrame, parquet, csv, Arrow, json) and wants to filter, group, aggregate, join, or speed up slow pandas.
polarsource/polar
Integrate Polar billing in server-side Python applications using the versioned Polar and PolarAsync clients.
coffeefuelbump/csv-data-summarizer-claude-skill
Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.
cortega26/chile-hub
Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh).
retentioneering/retentioneering-tools
Analyze event logs, clickstreams, user paths, product funnels, retention, behavioral segments, transition graphs, step matrices, sequence patterns, and customer journeys using Retentioneering.
Jeffallan/claude-skills
Handles pandas DataFrame work: cleaning, merging, groupby aggregation, pivots, time-series resampling and memory tuning, with checks on dtypes, shapes and nulls.
mims-harvard/OptimusKG
Create publication figures with matplotlib/seaborn/plotly. An agent skill from mims-harvard/OptimusKG.
mims-harvard/OptimusKG
Create distinctive, production-grade frontend interfaces with high design quality.
mims-harvard/OptimusKG
Guide for using OptimusKG, the biomedical knowledge graph, through the optimuskg Python client.
Works with
Categories
Enforce synchronization between Kedro node files and catalog YAML files in the OptimusKG project. Node Catalog Sync is an agent skill from mims-harvard/OptimusKG. Enforce synchronization between Kedro node files and catalog YAML files in the OptimusKG project.
Node Catalog Sync fits situations like: editing any Python node file under optimuskg/pipelines//nodes/; including modifying run() functions; changing node() inputs/outputs; adding/removing/renaming DataFrame columns.
Run `npx skills add mims-harvard/OptimusKG --skill node-catalog-sync -a claude-code`. Or copy the skill folder (.agents/skills/node-catalog-sync in mims-harvard/OptimusKG) into .claude/skills/node-catalog-sync in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mims-harvard/OptimusKG --skill node-catalog-sync -a codex`. Or copy the skill folder (.agents/skills/node-catalog-sync in mims-harvard/OptimusKG) into .agents/skills/node-catalog-sync in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mims-harvard/OptimusKG --skill node-catalog-sync -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/node-catalog-sync, .gemini/skills/node-catalog-sync, .github/skills/node-catalog-sync and .opencode/skills/node-catalog-sync in your project.
Going by SKILL.md and its folder, Node Catalog Sync needs the command-line tools its instructions call (uv). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Node Catalog Sync is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 823 tokens (SKILL.md is roughly 3.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Node Catalog Sync: Chdb Datastore (vemetric/vemetric, 394 stars), Polar Python SDK (polarsource/polar, 10k stars), CSV Data Summarizer (coffeefuelbump/csv-data-summarizer-claude-skill, 468 stars) and Python Executor (cortega26/chile-hub, 113 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
mims-harvard (a GitHub organization) maintains it in mims-harvard/OptimusKG, which has 146 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on September 21, 2026.
Source: mims-harvard/OptimusKG on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.