Emergence AI
Official@emergenceai
Intelligent agents, seamlessly orchestrated. At emergence, we’re advancing the science and development of AI agents.
Agent Skills by Emergence AI
Showing 21 vetted skills indexed across 1 GitHub repositories.
eval-generator
Generate pytest evaluation tests from Jira acceptance criteria.
commit
Create atomic git commits with descriptive messages and conventional prefixes.
autonomous-implement
Automate Jira issue development from research through PR creation.
autonomous-sprint
Automate parallel implementation of Jira issues with testing and PR creation.
jira-update
Automate Jira issue updates with pull request links and test results.
research-codebase
Analyze codebases with parallel agents and generate Markdown documentation.
jira-to-branches
Create GitHub branches from Jira issues queried via JQL.
update-e2e-testplan
Automate end-to-end test plan updates between software releases.
split-pr
Split large Git feature branches into smaller, focused pull requests.
create-plan
Generate detailed implementation plans through interactive research and structured Markdown documentation.
code-review
Review branches, commits, PRs, or files with parallel agents.
create-e2e-testplan
Generate end-to-end test plans from Jira and Confluence context.
create-bug
Create structured Jira bug reports with environment and regression analysis.
validate-plan
Validate implementation plans against success criteria and architectural standards.
generate-migration
Generate database migration files from schema change descriptions across multiple frameworks.
create-epic
Create Jira epics from CSV/Excel tables using a structured template.
describe-pr
Generate pull request descriptions from GitHub API metadata and commit history.
create-bug-from-video
Create Jira bug reports from screen recording videos with keyframe and audio analysis.
create-pr
Generate GitHub pull requests with descriptions from branch commits and related documents.
implement-plan
Plan and implement Jira ticket features through phased research, approval, and verification.
dogfood
Automates exploratory web app testing and generates bug reports with reproduction evidence.
Frequently Asked Questions About Emergence AI
FAQPage SchemaWhat specific engineering tasks are enabled by these capabilities?▼
These capabilities enable end-to-end Jira issue development, including branch creation, implementation planning, database migration generation, and automated pull request documentation. They further support quality assurance by generating end-to-end test plans and exploratory bug reports from video evidence.
Which personas benefit most from these technical integrations?▼
Software engineers, technical leads, and quality assurance testers benefit from these integrations. The functionality is designed for teams managing high-velocity development cycles who require consistent documentation, standardized commit practices, and synchronized issue tracking across Jira and GitHub environments.
What are the primary prerequisites for deploying these capabilities?▼
Deployment requires active access to Jira and GitHub environments. Users must provide valid credentials for JQL querying, repository branch management, and pull request creation. Additionally, generating bug reports from video requires access to screen recording files and associated metadata.