Clyra AI
Official@clyra-ai
Offers deterministic software lifecycle management, CI failure triage, and automated backlog execution for enterprise engineering teams.
Agent Skills by Clyra AI
Showing 17 vetted skills indexed across 1 GitHub repositories.
evidence-receipt-generation
Generate portable JSON receipts from Gait run artifacts with verification metadata.
ci-failure-triage
Isolate CI failures with artifact-first verification and deterministic repros.
incident-to-regression
Convert incident artifacts into deterministic regression fixtures and CI-ready outputs.
backlog-plan
Generate structured backlog plans with epics, stories, tasks, repo paths, commands, acceptance criteria, and test wiring.
feature-discovery
Aggregate AI market signals over seven days and write five cited recommendations to product/ideas.md.
adhoc-plan
Convert user-provided recommendations into an executable backlog plan with epics, stories, and CI matrix wiring.
cut-release
Create a Gait release tag from main and monitor CI validation with bounded hotfix loops.
code-review
Audit a codebase for safety, determinism, and integrity issues with severity-ranked findings.
branches-clean
Delete non-main local and remote Git branches one-by-one with safety checks.
gait-policy-test-rollout
Execute deterministic policy tests and rollout simulations from policy YAML and intent fixtures.
pr-comments
Triage pull request comments into Implement, Defer, or Reject decisions with risk scores.
gait-capture-runpack
Record and verify deterministic Gait runpacks from run_record.json inputs.
commit-push
Automate Git feature branch commits, pushes, and PR management.
plan-implement
Execute backlog plan stories with Git bootstrap, CodeQL validation, and DoD revalidation.
gait-incident-to-regression
Converts GitLab incident run artifacts into deterministic regression workflows with CI-friendly outputs.
adhoc-implement
Execute backlog plans with branching, test-matrix wiring, and CodeQL validation.
app-audit
Audit software projects for release readiness with a go/no-go verdict.
Frequently Asked Questions About Clyra AI
FAQPage SchemaWhat specific engineering tasks does Clyra AI enable?βΌ
Clyra AI enables deterministic CI failure triage, automated backlog planning, and software release auditing. It converts incident artifacts into regression fixtures, manages Git branch lifecycles, and validates codebases against safety and integrity standards using CodeQL and policy-based testing.
Which technical personas benefit most from these capabilities?βΌ
These capabilities are designed for DevOps engineers, site reliability engineers, and technical product managers. The system targets teams managing complex CI/CD pipelines who require deterministic repros, structured release management, and automated triage of pull request feedback and incident reports.
What are the primary prerequisites for running these operations?βΌ
Operations require a Git-based repository structure and existing CI/CD infrastructure capable of processing JSON run artifacts. Users must provide policy YAML files for rollout simulations and maintain standard run_record.json inputs to enable the Gait-based verification and regression generation features.