Pythagora-io
Official@pythagora-io
Offers end-to-end software quality assurance, environment provisioning, and issue tracking integration for enterprise engineering teams.
Agent Skills by Pythagora-io
Showing 31 vetted skills indexed across 1 GitHub repositories.
Pythagora-ioqa-on-demand
Coordinate on-demand QA testing with Manager and Executor agents.
Pythagora-ioqa-flow
Orchestrate multi-phase QA testing from PR to staging and ticket validation.
Pythagora-ioqa-report
Generate and publish QA reports with screenshot evidence after sign-off.
Pythagora-ioqa-phase0
Create a test workspace, load knowledge base context, and generate an initial testing plan.
Pythagora-ioqa-phase1
Classify PR changes and deploy to QA with health checks.
Pythagora-ioqa-queue
Automate deterministic QA test sequencing with atomic queue.py transitions.
Pythagora-iopre-implementation-qa
Generate a pre-implementation QA plan with HTML report and test-cases.json.
Pythagora-ioqa-deploy
Build and push Docker images, deploy to EC2, and run health checks.
Pythagora-ioqa-phase3
Run API and browser tests from test-cases.json with real-time status updates.
Pythagora-ioqa-phase4
Validate Phase 3 completion, coordinate sign-off, and generate an HTML report with evidence.
Pythagora-iobuild-qa-agent
Guide users through configuring a QA agent and populating environment.md.
Pythagora-ioqa-phase2
Expand QA testing plans by generating bug hypotheses and adding API and browser tests.
Pythagora-ioorchestrate-dev-qa
Coordinate Developer and QA agents through Linear ticket fix rounds with video evidence.
Pythagora-ioticket-monitor
Monitor Linear tickets in In Progress and QA states and nudge owners via Slack.
Pythagora-iomanage-ticket
Coordinate Slack threads and Linear tickets through QA and developer workflows.
Pythagora-iobuild-tech-lead-agent
Generates a Tech Lead agent config file for Slack and optional Linear.
Pythagora-iolinear-ticket-cleanup
Remove Linear ticket worktrees, branches, and feature directories after completion.
Pythagora-iolocal-environment-setup
Provision isolated local development environments with per-feature API, frontend, and database.
Pythagora-ioenvironment-setup
Create isolated git worktrees for parallel feature development.
Pythagora-iophase-3-implementation
Inject Claude Code skills into a feature worktree and launch implementation.
Pythagora-iolinear
Manage Linear issues, teams, and projects via GraphQL API.
Pythagora-iophase-1-dev-environment-setup
Create a git worktree for a feature and install its dependencies.
Pythagora-iophase-2-planning
Coordinate cross-review planning to produce implementation plans and upload them to S3.
Pythagora-iocross-review
Run a four-round cross-review of coding tasks with Codex and Claude Code.
Frequently Asked Questions About Pythagora-io
FAQPage SchemaWhat specific engineering tasks does Pythagora-io support?▼
Pythagora-io supports end-to-end software delivery, including automated QA testing, git worktree environment provisioning, Linear ticket management, and frontend interface generation from design files.
Which technical personas benefit from these capabilities?▼
Software engineers, QA leads, and technical project managers benefit from these capabilities by offloading repetitive testing, environment setup, and ticket synchronization tasks to integrated system processes.
What are the primary dependencies for running these operations?▼
Operations require access to Linear for issue tracking, Docker for containerized deployments, EC2 for hosting, and Figma for design-to-code interface extraction.