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Yoshikemolo AI Skills

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

Author statistics

Indexed skills

8

Repository stars across indexed skills

40

Repository forks

8

Average repository stars per indexed skill

5

Repository stars may repeat across skills from the same repository.

8 skills

Browse skills

GitHub

pr-creation

Yoshikemolo

Create and manage GitHub Pull Requests with templates, reviewers, and labels. Use when code is ready for review. Merging requires explicit approval.

GitHub

jira-read

Yoshikemolo

Read data from Jira including issues, comments, sprints, and execute JQL queries. Use when you need to fetch or search Jira data without making changes.

GitHub

git-jira-integration

Yoshikemolo

Integration between Git workflows and Jira issues. Generates branch names from issues, validates commit messages, and provides PR context from Jira specifications.

GitHub

git-operations

Yoshikemolo

Git repository operations including branching, committing, pushing, and viewing history. Use for version control tasks. Destructive operations require explicit approval.

GitHub

orchestration

Yoshikemolo

Coordinate multi-step workflows across skills with execution plans, state tracking, and rollback support. Use when tasks require multiple coordinated operations.

GitHub

jira-write

Yoshikemolo

Create and update Jira issues, add comments, transition statuses, and manage sprints. Use when you need to make changes to Jira data. Supports dry-run mode for validation.

GitHub

devflow-planning

Yoshikemolo

AI-powered sprint planning, velocity analysis, and capacity forecasting. Use for planning sprints, predicting outcomes, and providing agile recommendations based on historical data.

GitHub

test-execution

Yoshikemolo

Run unit and integration tests, generate coverage reports, and view results. Use to validate code changes before committing or merging.

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.