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Assessing your cultural and operational fit
migRaven
Frontend Developer
June 23, 2026 – Present
MDDesign
April 25, 2026 – Present
Orchestrator plugin: composes planning-with-files, DESIGN.md, memory routing, agent teams, and session handoff into one contract for any modern coding agent. Cross-IDE.
View Projectopenui-forge
March 22, 2026 – Present
Cross-IDE, multi-stack agent skill for OpenUI (the Open Standard for Generative UI). Adds OpenUI to existing projects across 12 backend stacks, any LLM provider, and 11 agent platforms. Scaffold, integrate, validate.
View Projectresearchclaw-skill
March 20, 2026 – Present
Turn your coding agent into a one-command autonomous research paper generator. Wraps AutoResearchClaw's 23-stage pipeline with setup automation, interactive config, error diagnosis, and self-healing hooks.
View Projectcodebase-knowledge-builder
March 8, 2026 – Present
Agent skill that studies any codebase and produces structured knowledge artifacts. Works with Claude Code, Cursor, OpenCode, and any agentskills-compatible agent.
View Projectplanning-with-teams
February 6, 2026 – Present
Manus-style context engineering for Claude Code Agent Teams. Coordinate multiple Claude instances with shared planning files.
View ProjectBarbersBuddies_Onlineshop_maker
January 4, 2026 – Present
✂️ The complete open-source booking platform for barbershops. React + Firebase + Stripe. Multi-language, dark mode, analytics, messaging & more.
View Projectplanning-with-files
January 3, 2026 – Present
Persistent file-based planning for AI coding agents and long-running agentic tasks. Crash-proof markdown plans that survive context loss and /clear, plus a deterministic completion gate and multi-agent shared state on disk. Manus-style. Works with Claude Code, Codex CLI, Cursor, Kiro, OpenCode and 60+ agents via the SKILL.md standard.
View Projectlangsmith-fetch-skill
December 24, 2025 – Present
🔍 AI observability skill for Claude Code. Debug LangChain/LangGraph agents by fetching execution traces from LangSmith Studio directly in your terminal.
View Projectpromptfusion
November 9, 2025 – Present
🎯 Three-layer prompt composition system for AI agents. Translates numerical weights into semantic priorities that LLMs actually follow. ⚡ Framework-agnostic, open source, built for production multi-agent orchestration.
View ProjectAI-Docs-Copier
October 26, 2025 – December 7, 2025
Transform any documentation into AI-friendly formats with one click
View ProjectCultural Fit Analysis
The candidate's portfolio is heavily skewed towards personal projects, many of which involve AI tooling and agent orchestration. While this demonstrates initiative and a passion for technology, it also suggests a strong individual contributor focus. The target role is 'Frontend Developer', and while the candidate has relevant technical skills, the project themes might indicate a broader interest that could lead to a desire for roles beyond pure frontend development in the long term. The 'BarbersBuddies_Onlineshop_maker' project is a good example of a more traditional frontend application. The lack of team-based project experience or detailed professional experience makes it challenging to fully assess cultural fit for a collaborative team environment. The candidate's experience level is listed as 0, which contradicts the current employment, suggesting a data inconsistency or very recent entry into the professional field. This makes assessing cultural fit based on professional experience difficult.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven individual, capable of initiating and completing complex personal projects. The variety of projects, especially those involving AI agents and tooling, suggests an interest in cutting-edge technologies and problem-solving. However, without specific psychometric test results, it's difficult to assess logical reasoning, work attitude, stress handling, or team collaboration directly. The current employment as a Frontend Developer at migRaven aligns well with the target role, but the lack of detailed experience descriptions limits a deeper operational fit assessment.