Results for “pip”

Defines a gated Research-Plan-TDD-Review-Commit pipeline for orchestrating feature development, defect fixes, and refactoring tasks through composable phases and human approval gates.

Traces software supply chain provenance from source to runtime, identifying divergence points in dependency resolution, build, packaging, and release pipelines.

Orchestrates an end-to-end video production pipeline from source footage to a rough cut or final packaged video, with staged gates, resume support, and progress tracking.

Guides a structured planning pipeline for coding tasks, including scope detection, research, plan creation, and review.

Scans the projects/ directory and reports the pipeline phase completion status for each Virtual Team project.

Guides configuring Turborepo for JavaScript/TypeScript monorepos, covering task pipelines, caching, filtering, CI optimization, and package structure.

Configure and optimize Turborepo monorepo build systems with task pipelines, caching, filtering, and CI integration.

Interact with GitLab via helper functions for merge requests, issues, pipelines, and code review comments.

Configures GitHub Actions CI/CD pipelines for Flutter and backend monorepos, including testing, building, and deployment workflows.

Run Claude Code autonomously in loops, from simple sequential pipelines to multi-agent DAG orchestration.

Runs a complete testing pipeline covering full test suites, automated and manual tests, and logs execution metadata for the /evolve pipeline.

Fork, sanitize, and package private projects for safe public release through a three-stage pipeline.

Runs a structured bug-fix pipeline: scouts evidence, diagnoses root cause, applies minimal fixes, and reviews before committing.

Automate Buildkite CI/CD operations through Composio's toolkit via Rube MCP, including pipeline management and job execution.

Integrates OWASP ZAP for Dynamic Application Security Testing in CI/CD pipelines, configuring baseline, full, and API scans, interpreting findings, tuning policies, and establishing quality gates in GitHub Actions and GitLab CI.

Coordinates five specialized agents (planning, research, code, review, deploy) into a pipeline that ships features from spec to production with automated gates.

Designs and implements CI/CD pipelines with automated testing, build automation, deployment, and rollback strategies.

Runs a five-phase pipeline—evaluation, specification, implementation, review, and QA—to build a feature end-to-end with specialized agents.

Manage Azure DevOps resources via CLI including projects, repos, pipelines, builds, pull requests, work items, artifacts, and service endpoints.

Scans the projects/ directory and reports the pipeline phase completion status for each Virtual Team project, including validation errors and QA verdicts.

Integrate gitleaks and trufflehog into CI/CD pipelines to detect leaked secrets before deployment.

Manages Drone CI pipelines, builds, and secrets via the Drone API, including status checks, log analysis, repository activation, and cron scheduling.

Extracts executable task definitions from Markdown files and runs them as shell pipelines, parsing fenced code blocks with task metadata annotations and managing dependencies between tasks.

Manage GitLab issues, merge requests, CI/CD pipelines, and repositories from the terminal using the glab CLI, including support for self-hosted instances and automation scripts.

Integrates SAST, DAST, and SCA security scanning into CI/CD pipelines using open-source tools like Semgrep, Trivy, OWASP ZAP, and Gitleaks.

Automatically detects project state and runs an 8-phase pipeline to plan, build, test, lint, fix bugs, and document code across multiple AI coding agents.

Orchestrates a strict four-stage shipping pipeline: session critique, validation, commit, and pull request, halting on failure. Supports a critique-only mode for mid-session quality checks.

Design and implement a comprehensive DevSecOps pipeline in GitLab CI/CD integrating SAST, DAST, container scanning, dependency scanning, and secret detection.

Designs and implements production-grade ML pipeline infrastructure: configures experiment tracking, creates orchestration DAGs, builds feature store schemas, deploys model registries, and automates retraining and validation workflows.

Build an automated IOC enrichment pipeline using OpenCTI's connector ecosystem to enrich indicators with context from VirusTotal, Shodan, AbuseIPDB, GreyNoise, and other sources.