Neocarta Add Source Connector
neo4j-labs/neocarta
Scaffold, build, and verify a neocarta source or format connector against the connector contract.
Core skill for game sentiment querying and analysis. An agent skill from infometa/workbuddyskills.
Install Bigquery Sentiment
The automated check flagged lines worth reading first. See the safety section below.
$ npx skills add infometa/workbuddyskills --skill bigquery-sentiment -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install infometa/workbuddyskills bigquery-sentiment --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/infometa/workbuddyskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/experts/tiderider-sentiment/skills/bigquery-sentiment .claude/skills/bigquery-sentiment && 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 "bigquery-sentiment" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/tiderider-sentiment/skills/bigquery-sentiment into .claude/skills/bigquery-sentiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bigquery-sentiment", 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/infometa/workbuddyskills/tree/main/experts/tiderider-sentiment/skills/bigquery-sentimentType 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 infometa/workbuddyskills --skill bigquery-sentiment -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install infometa/workbuddyskills bigquery-sentiment --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/experts/tiderider-sentiment/skills/bigquery-sentiment .agents/skills/bigquery-sentiment && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "bigquery-sentiment" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/tiderider-sentiment/skills/bigquery-sentiment into .agents/skills/bigquery-sentiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bigquery-sentiment", 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 infometa/workbuddyskills --skill bigquery-sentiment -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install infometa/workbuddyskills bigquery-sentiment --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/experts/tiderider-sentiment/skills/bigquery-sentiment .cursor/skills/bigquery-sentiment && 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 "bigquery-sentiment" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/tiderider-sentiment/skills/bigquery-sentiment into .cursor/skills/bigquery-sentiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bigquery-sentiment", 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/infometa/workbuddyskills.git --path experts/tiderider-sentiment/skills/bigquery-sentiment--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 infometa/workbuddyskills --skill bigquery-sentiment -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install infometa/workbuddyskills bigquery-sentiment --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/experts/tiderider-sentiment/skills/bigquery-sentiment .gemini/skills/bigquery-sentiment && 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 "bigquery-sentiment" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/tiderider-sentiment/skills/bigquery-sentiment into .gemini/skills/bigquery-sentiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bigquery-sentiment", 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 infometa/workbuddyskills bigquery-sentimentInstalls 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 infometa/workbuddyskills --skill bigquery-sentiment -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .github/skills && cp -r skills-src/experts/tiderider-sentiment/skills/bigquery-sentiment .github/skills/bigquery-sentiment && 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 "bigquery-sentiment" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/tiderider-sentiment/skills/bigquery-sentiment into .github/skills/bigquery-sentiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bigquery-sentiment", 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 infometa/workbuddyskills --skill bigquery-sentiment -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install infometa/workbuddyskills bigquery-sentiment --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/experts/tiderider-sentiment/skills/bigquery-sentiment .opencode/skills/bigquery-sentiment && 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 "bigquery-sentiment" agent skill from https://github.com/infometa/workbuddyskills/tree/main/experts/tiderider-sentiment/skills/bigquery-sentiment into .opencode/skills/bigquery-sentiment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bigquery-sentiment", 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.
Facts
- Skill name
bigquery-sentiment- GitHub stars
- 344
- Token cost
- ~3.3k tokens
- SKILL.md length
- 1,387 words
- Files
- 11 (incl. scripts, references)
- Skills in repo
- 212
- Repo updated
- First seen
- Licence
- None found
At a glance
Core skill for game sentiment querying and analysis. An agent skill from infometa/workbuddyskills.
- Tasks that involve Data warehousing
- SKILL.md covers Overview, Prerequisites — credentials &…, Table Priority and Core Query Templates, plus 2 more sections
- Runs Python scripts from its folder; calls python and gcloud; needs GOOGLE_APPLICATION_CREDENTIALS
- Tasks that involve Customer feedback analysis
What it does
Bigquery Sentiment is an agent skill from infometa/workbuddyskills. Core skill for game sentiment querying and analysis. Connects to BigQuery to run multi-dimensional sentiment analysis. Triggers: sentiment analysis, review query, positive rate, negative-review attribution, topic analysis, version comparison, KOL analysis, channel analysis.
Its SKILL.md is about 3.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including scripts and reference files (for example `references/games.json`, `references/query-rules.md` and `scripts/_utils.py`).
It sits in Databases, covering Data warehousing and Customer feedback analysis. It works with Google BigQuery. The repository describes itself as: WorkBuddy skills / connectors / experts archive for offline study.
When your agent uses it
- Tasks that involve Data warehousing
- Tasks that involve Customer feedback analysis
Example prompts
- “/bigquery-sentiment”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 75a5ad9. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Ships 7 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythongcloud
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
databrain.woa.comdatabrain-global.intlgame.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
GOOGLE_APPLICATION_CREDENTIALS
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Bigquery Sentiment loads about 3.3k tokens when it runs, and up to ~6.7k if it reads all its reference files. Until then it costs about 73 tokens; SKILL.md has 1,387 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.
Safety
Auto-check: warnings
The automated check found patterns that need a careful read before installing.
- WarningContains instruction-override wording (e.g. “without asking the user”)SKILL.md:29
ct through it (full results, no cap). **Do not tell the user which method; just proceed.** - NoteMentions a .env fileSKILL.md:39
the deployment.** Never make them edit `.env`, run `export`, learn where the skill root is, or even pick a file path. - NoteMentions a .env fileSKILL.md:62
earer `), writes it into the skill-root `.env` (perms tightened to 0600, other keys preserved), and re-runs the detector - NoteMentions a .env fileSKILL.md:66
That's it — no manual `.env` editing, no `export`. After a PASS you can immediately run queries through the adapter (SQL
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); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 1,387 words (~3,328 tokens).
“Connect to Google BigQuery to query game player-review data and run multi-dimensional sentiment analysis.”
- name
- bigquery-sentiment
Files
SKILL.md and 10 other files (scripts, references) in experts/tiderider-sentiment/skills/bigquery-sentiment of infometa/workbuddyskills.
- SKILL.md
- .gitignore
- references/games.json
- references/query-rules.md
- scripts/_utils.py
- scripts/deploy_token.py
- scripts/detect_connection.py
- scripts/execute_sql.py
- scripts/report_log.py
- scripts/scan_volume_alert.py
- scripts/tiderider_sql.py
Open the folder on GitHubat commit 75a5ad9
Compare with similar skills
Bigquery Sentiment 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 |
|---|---|---|---|---|---|---|
| Bigquery Sentiment this skillinfometa/workbuddyskills | 344 | — | ~3.3k | Automated safety check: Warn | None | |
| Neocarta Add Source Connectorneo4j-labs/neocarta | 146 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Write Script Bigquerywindmill-labs/windmill | 18k | — | ~2.2k | Automated safety check: Pass | Custom licence | |
| Foundationsopenshift-eng/ai-helpers | 120 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Ga4 Bigquery Schemacognyai/claude-code-marketing-skills | 104 | — | ~4.7k | Automated safety check: Notes | None | |
| Gx Ga4 Expertcriptogus/agent-evolve-network | 288 | — | ~749 | Automated safety check: Pass | MIT |
Similar skills
Write Script Bigquery
windmill-labs/windmill
MUST use when writing BigQuery queries.
Foundations
openshift-eng/ai-helpers
A skill your agent uses when executing any BigQuery CI data query — provides the shared safety protocol, cost controls, bq CLI patterns, and caching workflow
Ga4 Bigquery Schema
cognyai/claude-code-marketing-skills
GA4 BigQuery Export Schema Reference — complete field reference, nested structures, query patterns, and performance tips
Gx Ga4 Expert
criptogus/agent-evolve-network
Configure GA4 properties, GTM, custom events, conversions, audiences, and BigQuery export.
Altimate Data Warehouse Delegate
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Delegates dbt and warehouse tasks such as lineage, migrations and cost attribution to the altimate-code CLI agent and relays its answer back.
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Questions about Bigquery Sentiment
What does Bigquery Sentiment do?
Core skill for game sentiment querying and analysis. An agent skill from infometa/workbuddyskills. Bigquery Sentiment is an agent skill from infometa/workbuddyskills. Core skill for game sentiment querying and analysis.
When should I use Bigquery Sentiment?
Bigquery Sentiment fits situations like: tasks that involve Data warehousing; tasks that involve Customer feedback analysis.
How do I install Bigquery Sentiment in Claude Code?
Run `npx skills add infometa/workbuddyskills --skill bigquery-sentiment -a claude-code`. Or copy the skill folder (experts/tiderider-sentiment/skills/bigquery-sentiment in infometa/workbuddyskills) into .claude/skills/bigquery-sentiment in your project. Claude Code loads it when a task matches its description.
How do I install Bigquery Sentiment in Codex?
Run `npx skills add infometa/workbuddyskills --skill bigquery-sentiment -a codex`. Or copy the skill folder (experts/tiderider-sentiment/skills/bigquery-sentiment in infometa/workbuddyskills) into .agents/skills/bigquery-sentiment in your project. Codex loads it when a task matches its description.
Can I use Bigquery Sentiment in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add infometa/workbuddyskills --skill bigquery-sentiment -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bigquery-sentiment, .gemini/skills/bigquery-sentiment, .github/skills/bigquery-sentiment and .opencode/skills/bigquery-sentiment in your project.
What does Bigquery Sentiment need to run?
Going by SKILL.md and its folder, Bigquery Sentiment needs Python for the scripts in its folder, the command-line tools its instructions call (python and gcloud) and credentials named GOOGLE_APPLICATION_CREDENTIALS. Our summary lists: Python 3.
Does Bigquery Sentiment access the network?
SKILL.md names 2 domains. As links in the text: databrain.woa.com and databrain-global.intlgame.com. This is read from the text; nothing was executed.
Is Bigquery Sentiment safe to install?
Our automated static check of SKILL.md flagged 1 warning(s): contains instruction-override wording (e.g. “without asking the user”). Read the flagged lines before installing; the check is not a guarantee either way. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Bigquery Sentiment use?
No licence was found for Bigquery Sentiment or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Bigquery Sentiment use?
About 3.3k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.4k tokens, read only when the agent opens those files.
What are the alternatives to Bigquery Sentiment?
Skills that share tags, products or a category with Bigquery Sentiment: Neocarta Add Source Connector (neo4j-labs/neocarta, 146 stars), Write Script Bigquery (windmill-labs/windmill, 18k stars), Foundations (openshift-eng/ai-helpers, 120 stars) and Ga4 Bigquery Schema (cognyai/claude-code-marketing-skills, 104 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Bigquery Sentiment?
infometa (a GitHub user) maintains it in infometa/workbuddyskills, which has 344 GitHub stars. The repository holds 212 skills in this directory. The repository was last updated on October 7, 2026.
Source: infometa/workbuddyskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.