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Data & AI AI Skills

Discover Data & AI skills, compare source repositories and read the instructions for each workflow.

Categories: Data & AI

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GitHub

add-changeset

richardgill

Create a changeset file for versioning and changelog generation. Use when the user asks to add a changeset, bump version, or prepare a release.

GitHub

commit-message

kvet

Generate a conventional commit message from staged changes. Analyzes changes to determine affected packages and appropriate commit type, then outputs a properly formatted commit message.

GitHub

publish-review

kvet

Run a comprehensive review of the Queuert library before publishing, launching 5 parallel agents to check documentation coherence, API design, implementation verification, feature completeness, and API consiste...

GitHub

docs-check

kvet

Check if documentation is up to date with code changes. Analyzes git changes and identifies documentation that may need updating, comparing code modifications against design docs and package READMEs.

GitHub

code-review

kvet

Run a comprehensive code review of local changes, analyzing staged and unstaged changes to provide insights, identify issues, and suggest alternative approaches. Use when reviewing code before committing or cre...

GitHub

view-results

METR

View and analyze Hawk evaluation results. Use when the user wants to see eval-set results, check evaluation status, list samples, view transcripts, or analyze agent behavior from a completed evaluation run.

GitHub

monitoring

METR

Monitor Hawk job status, view logs, and diagnose issues. Use when the user wants to check job progress, view error logs, debug a failing job, or generate a monitoring report for a Hawk evaluation run.

GitHub

conch-generator

dermatologist

This skill helps you generate a new OpenMRS ESM microfrontend (DHTI conch) from this template. Use this skill when you need to create a new DHTI-enabled microfrontend that integrates with the OpenMRS 3.x ecosys...

GitHub

elixir-generator

dermatologist

This skill enables AI agents to generate new DHTI elixir projects from a cookiecutter template. Elixirs provide backend GenAI capabilities as HTTP endpoints hosted by LangServe. The skill guides the agent throu...

GitHub

context-window-pruner

Sounder25

Optimize information density by filtering workspace files based on relevance to the current task. Excludes high-noise files (lockfiles, assets) and prioritizes source code matching semantic queries.

GitHub

deterministic-planner

Sounder25

Enforces a structural planning phase before execution. Generates and validates PLAN.json to ensure every task has a clear objective, steps, verification method, and rollback strategy.

GitHub

mcp-connector

Sounder25

Provides a Model Context Protocol (MCP) server interface to the skills library, allowing any MCP-compliant agent (e.g. Claude Desktop) to invoke Antigravity skills as native tools.

GitHub

async-feedback-loop

Sounder25

Enables mid-stream course correction by monitoring a FEEDBACK.md file for user interventions. Allows the agent to incorporate new instructions without restarting the task.

GitHub

error-state-recovery

Sounder25

Wraps command execution in a self-healing loop. Uses heuristics to auto-fix common errors (missing deps, locked files) or escalates to the Agent with structured error context.

GitHub

clean-build-artifacts

Sounder25

Removes ignored build artifacts (bin, obj, node_modules) to reclaim space and fix ghost build errors. Safely respects .gitignore.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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