Skyvern-AI/skyvern
Nov 2025 – Jul 2026
9 Months active
Languages Used
JavaScriptPythonTypeScriptYAMLMarkdownJSONCSSNone
Technical Skills
API DevelopmentAPI IntegrationAPI developmentBackend DevelopmentCloud ComputingDevOps
Marc Kelechava
PROFILE
Marc Kelechava
Over nine months, this developer delivered 92 features and 53 bug fixes to the Skyvern-AI/skyvern repository, focusing on automation, workflow reliability, and developer experience. They engineered robust backend and frontend systems using Python, TypeScript, and React, implementing features such as deterministic browser automation, advanced geotargeting, and secure OAuth flows. Their work included building agentic workflows, CLI tooling, and observability instrumentation to improve debugging and test coverage. By integrating technologies like FastAPI, SQLAlchemy, and Playwright, they enhanced session management, cost metering, and artifact handling, resulting in scalable, enterprise-grade automation with strong validation, security best practices, and comprehensive documentation.
Overall Statistics
Feature vs Bugs
63%Features
Repository Contributions
205Total
Bugs
53
Commits
205
Features
92
Lines of code
120,320
Activity Months9
Your Network
71 peopleSame Organization
@skyvern.com7
Work History
July 2026
49 Commits • 24 Features
Jul 1, 2026July 2026 focused on delivering robust MCP capabilities, improving reliability and observability, and laying groundwork for evaluation workflows in Skyvern. Key features emphasize code-only execution, safer OAuth flows, and improved UI responsiveness, with a strong emphasis on business value through automation, security, and faster debug cycles. The team also advanced evaluation readiness and streamlined session handling to support scalable, enterprise-grade usage.
49 Commits • 24 Features
Jul 1, 2026July 2026 focused on delivering robust MCP capabilities, improving reliability and observability, and laying groundwork for evaluation workflows in Skyvern. Key features emphasize code-only execution, safer OAuth flows, and improved UI responsiveness, with a strong emphasis on business value through automation, security, and faster debug cycles. The team also advanced evaluation readiness and streamlined session handling to support scalable, enterprise-grade usage.
July 2026
June 2026
3 Commits • 2 Features
Jun 1, 2026June 2026 — Skyvern-AI/skyvern: Delivered two user‑visible features with strong non-disruptive validation and observability, enhancing UX and reliability. The deterministic HTML select option resolution, with fuzzy matching and shadow‑match observability, reduces dependence on large language model fanout and improves accuracy without changing behavior (feature flag controlled rollout). The NANP‑aware phone number readback verification improves verification usability by normalizing digits and tolerating an optional leading '1'. No customer‑reported defects were closed this month; instead, we focused on strengthening observability (shadow‑match measurements) and test coverage to catch regressions early. These efforts collectively improve user satisfaction, reduce false negatives, and shorten path to production for LLM‑free resolution strategies.
June 2026
3 Commits • 2 Features
Jun 1, 2026June 2026 — Skyvern-AI/skyvern: Delivered two user‑visible features with strong non-disruptive validation and observability, enhancing UX and reliability. The deterministic HTML select option resolution, with fuzzy matching and shadow‑match observability, reduces dependence on large language model fanout and improves accuracy without changing behavior (feature flag controlled rollout). The NANP‑aware phone number readback verification improves verification usability by normalizing digits and tolerating an optional leading '1'. No customer‑reported defects were closed this month; instead, we focused on strengthening observability (shadow‑match measurements) and test coverage to catch regressions early. These efforts collectively improve user satisfaction, reduce false negatives, and shorten path to production for LLM‑free resolution strategies.
May 2026
22 Commits • 8 Features
May 1, 2026May 2026 monthly summary for Skyvern-AI/skyvern. Focused on delivering automation-enabling features, stabilizing distribution workflows, and enhancing developer and operator experience. Highlights include MCP browser sessions enhancements with GeoTarget proxies, captcha-solver extension requests, and browser MCP profile reuse; SDK contracts and types improvements with a lightweight Skyvern wheel contract and extracted run schema types; installer and OSS integration improvements; and substantial reliability work across workflows and tasks to protect business operations.
22 Commits • 8 Features
May 1, 2026May 2026 monthly summary for Skyvern-AI/skyvern. Focused on delivering automation-enabling features, stabilizing distribution workflows, and enhancing developer and operator experience. Highlights include MCP browser sessions enhancements with GeoTarget proxies, captcha-solver extension requests, and browser MCP profile reuse; SDK contracts and types improvements with a lightweight Skyvern wheel contract and extracted run schema types; installer and OSS integration improvements; and substantial reliability work across workflows and tasks to protect business operations.
May 2026
April 2026
30 Commits • 7 Features
Apr 1, 2026April 2026 (2026-04) monthly summary for Skyvern-AI/skyvern. Focused on delivering enterprise-grade MCP tooling, strengthening authentication resilience, expanding OAuth capabilities, and improving telemetry and guidance to support scalable automation. Documentation and maintenance updates were completed to improve developer onboarding and long-term maintainability.
April 2026
30 Commits • 7 Features
Apr 1, 2026April 2026 (2026-04) monthly summary for Skyvern-AI/skyvern. Focused on delivering enterprise-grade MCP tooling, strengthening authentication resilience, expanding OAuth capabilities, and improving telemetry and guidance to support scalable automation. Documentation and maintenance updates were completed to improve developer onboarding and long-term maintainability.
March 2026
29 Commits • 15 Features
Mar 1, 2026March 2026 Skyvern monthly summary focusing on feature delivery, bug fixes, and performance improvements across browser session handling, workflow/SDK consistency, QA tooling, packaging, and MCP ecosystem improvements. Resulting changes drive reliability, developer velocity, and customer value through stronger session/profile management, reduced token usage, enhanced QA capabilities, and streamlined setup and onboarding.
29 Commits • 15 Features
Mar 1, 2026March 2026 Skyvern monthly summary focusing on feature delivery, bug fixes, and performance improvements across browser session handling, workflow/SDK consistency, QA tooling, packaging, and MCP ecosystem improvements. Resulting changes drive reliability, developer velocity, and customer value through stronger session/profile management, reduced token usage, enhanced QA capabilities, and streamlined setup and onboarding.
March 2026
February 2026
10 Commits • 3 Features
Feb 1, 2026February 2026 performance summary for Skyvern-AI/skyvern focusing on stability, parsing robustness, and automation tooling that directly enhances business value and developer productivity. Key outcomes include robust handling of large PDFs, expanded image text extraction via OCR, a critical reliability fix for workflow end states, and a foundational MCP tooling platform enabling hybrid browser automation and scalable workflow execution. These improvements reduce failure modes, accelerate AI-assisted document workflows, and strengthen the end-to-end automation stack across parsing, validation, and execution.
February 2026
10 Commits • 3 Features
Feb 1, 2026February 2026 performance summary for Skyvern-AI/skyvern focusing on stability, parsing robustness, and automation tooling that directly enhances business value and developer productivity. Key outcomes include robust handling of large PDFs, expanded image text extraction via OCR, a critical reliability fix for workflow end states, and a foundational MCP tooling platform enabling hybrid browser automation and scalable workflow execution. These improvements reduce failure modes, accelerate AI-assisted document workflows, and strengthen the end-to-end automation stack across parsing, validation, and execution.
January 2026
15 Commits • 7 Features
Jan 1, 2026January 2026 monthly summary for Skyvern-AI/skyvern: This period delivered a focused set of features and reliability improvements that directly enhance cost visibility, geotargeting accuracy, workflow reliability, and developer experience. Key features delivered include GeoTargeting Enhancements (PH proxy support, improved subdivision input validation, stronger country/state/city logic, with robust lazy-loading and a race-condition fix), Billing Improvements (per-action credit tracking, action-count retrieval per step, new billing ID generation, and session-based cost metering with indexing to boost metering performance), Workflow and Webhook Improvements (step-count tracking in webhooks and run payloads, finally blocks in workflows, and a comprehensive workflow run payload), Print Page Block Enhancements (PDF generation with advanced settings and debugging), and HTTP File Download plus Jinja JSON Type Injection Filter (HTTP downloads with user-specified filenames and improved templating for HTTP blocks). Additional improvements include storing screenshot artifacts with presigned URLs for easy retrieval. Major bugs fixed include File Encoding Robustness (improved encoding detection in FileParserBlock to prevent decoding errors), a race condition fix in the lazy-loaded geo search module, and privacy hardening to Hide Billing Endpoints in Fern docs. Overall impact: The month delivered substantially improved cost metering accuracy, more reliable geotargeting and workflow execution, enhanced debugging and visibility for developers, and safer documentation practices, contributing directly to business value through better cost control, reliability, and developer productivity. Technologies/skills demonstrated: Lazy-loading and race-condition debugging, per-action billing logic and session-based metering, enhanced webhook/workflow payloads, PDF generation, HTTP file transfer, Jinja templating enhancements, and secure documentation practices (presigned URLs, hidden endpoints).
15 Commits • 7 Features
Jan 1, 2026January 2026 monthly summary for Skyvern-AI/skyvern: This period delivered a focused set of features and reliability improvements that directly enhance cost visibility, geotargeting accuracy, workflow reliability, and developer experience. Key features delivered include GeoTargeting Enhancements (PH proxy support, improved subdivision input validation, stronger country/state/city logic, with robust lazy-loading and a race-condition fix), Billing Improvements (per-action credit tracking, action-count retrieval per step, new billing ID generation, and session-based cost metering with indexing to boost metering performance), Workflow and Webhook Improvements (step-count tracking in webhooks and run payloads, finally blocks in workflows, and a comprehensive workflow run payload), Print Page Block Enhancements (PDF generation with advanced settings and debugging), and HTTP File Download plus Jinja JSON Type Injection Filter (HTTP downloads with user-specified filenames and improved templating for HTTP blocks). Additional improvements include storing screenshot artifacts with presigned URLs for easy retrieval. Major bugs fixed include File Encoding Robustness (improved encoding detection in FileParserBlock to prevent decoding errors), a race condition fix in the lazy-loaded geo search module, and privacy hardening to Hide Billing Endpoints in Fern docs. Overall impact: The month delivered substantially improved cost metering accuracy, more reliable geotargeting and workflow execution, enhanced debugging and visibility for developers, and safer documentation practices, contributing directly to business value through better cost control, reliability, and developer productivity. Technologies/skills demonstrated: Lazy-loading and race-condition debugging, per-action billing logic and session-based metering, enhanced webhook/workflow payloads, PDF generation, HTTP file transfer, Jinja templating enhancements, and secure documentation practices (presigned URLs, hidden endpoints).
January 2026
December 2025
33 Commits • 19 Features
Dec 1, 2025December 2025 performance summary for Skyvern: Delivered a range of features, reliability fixes, and security improvements across frontend, backend, and documentation, with a strong focus on business value and developer productivity.
December 2025
33 Commits • 19 Features
Dec 1, 2025December 2025 performance summary for Skyvern: Delivered a range of features, reliability fixes, and security improvements across frontend, backend, and documentation, with a strong focus on business value and developer productivity.
November 2025
14 Commits • 7 Features
Nov 1, 2025November 2025 monthly summary for Skyvern (Skyvern-AI/skyvern). This month delivered significant features and reliability improvements across CI personalization, browser profiles, UX for 2FA, Vertex AI authentication, geo-targeting, and Discover UI, driving security, scalability, and monetization of cached steps. Key outcomes include stable browser profile creation with DB/S3 storage, enhanced GitHub Actions personalization, Google Cloud Workload Identity support for Vertex models, expanded geo-targeting, and a refreshed Discover page.
14 Commits • 7 Features
Nov 1, 2025November 2025 monthly summary for Skyvern (Skyvern-AI/skyvern). This month delivered significant features and reliability improvements across CI personalization, browser profiles, UX for 2FA, Vertex AI authentication, geo-targeting, and Discover UI, driving security, scalability, and monetization of cached steps. Key outcomes include stable browser profile creation with DB/S3 storage, enhanced GitHub Actions personalization, Google Cloud Workload Identity support for Vertex models, expanded geo-targeting, and a refreshed Discover page.
November 2025
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Quality Metrics
Correctness94.4%
Maintainability86.2%
Architecture88.0%
Performance84.2%
AI Usage53.6%
Skills & Technologies
Programming Languages
BashCSSJSONJavaScriptMarkdownNonePythonShellTypeScriptYAML
Technical Skills
AIAI IntegrationAI OptimizationAI integrationAI toolsAI/MLAPI DesignAPI DevelopmentAPI DocumentationAPI IntegrationAPI developmentAPI integrationASTAWS S3 integrationAgentic Workflows
Repositories Contributed To
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