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so-ta AI Skills

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Browse published AI skills maintained by so-ta. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

8

Repository stars across indexed skills

0

Repository forks

0

Average repository stars per indexed skill

0

Repository stars may repeat across skills from the same repository.

Popular categories

tools git workflows2tools testing2data ai testing2business git workflows2testing security testing2documentation testing2

Recent indexing activity

review-pr2026-01-20create-pr2026-01-20self-review2026-01-20update-docs2026-01-20add-test2026-01-20

8 skills

Browse skills

GitHub

create-pr

so-ta

Create a pull request after code changes are complete and reviewed. Use proactively after self-review passes and documentation is updated.

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GitHub

self-review

so-ta

Self-review after code changes. Use proactively after completing any code modifications, before creating a pull request. Runs tests, checks code quality, and validates changes.

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GitHub

update-docs

so-ta

Update documentation after code changes. Use when API endpoints, database schema, backend/frontend structure, or block definitions have been modified.

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GitHub

add-test

so-ta

Add test cases to the codebase. Use when writing new tests, improving test coverage, or when the user asks to add tests for specific functionality.

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GitHub

add-feature

so-ta

Add new feature workflow. Use when implementing new functionality, adding new API endpoints, or creating new components.

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GitHub

fix-bug

so-ta

Bug fix workflow. Use when fixing bugs, errors, or unexpected behavior. Includes reproduction test creation, fix implementation, and verification.

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GitHub

add-block

so-ta

Add new block (Discord, Slack, Notion integrations etc.) workflow. Use when adding new integration blocks or system blocks to the workflow engine.

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GitHub

review-pr

so-ta

PR review workflow after push. Use proactively immediately after creating a pull request to check CI status and Codex review results.

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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.