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oornnery

@oornnery source repo

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• 27 skills
• 0 followers
• 6 hours ago last updated

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   Git · oornnery bundle

   Git safety, staging, commit workflow, branching, pull requests, rebase, bisect, tagging, and worktrees. Load when working with branches, commits, PRs, or recovering from tricky git situations.
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   Rtk · oornnery

   RTK (Rust Token Killer) setup, configuration, and usage. Use when setting up RTK in a project, configuring custom filters, optimizing agent token usage, or troubleshooting RTK hooks and rewrites.
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   Arch · oornnery bundle

   Architecture guidance for DDD, Clean Arch, SOLID, common patterns, and system design documents. Load when deciding how to structure modules, layers, boundaries, or design decisions.
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   Cicd · oornnery bundle

   GitHub Actions CI guidance for validation gates, workflow permissions, matrices, caching, path filters, artifacts, and workflow verification. Load when designing, reviewing, or troubleshooting GitHub CI.
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   Docs · oornnery

   Documentation patterns for Markdown structure, README shape, ADRs, changelogs, diagrams, docstrings, and rumdl. Load when writing, refactoring, or validating docs.
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   Htmx · oornnery bundle

   htmx patterns for server-rendered applications. Covers hypermedia interactions, fragment responses, attributes, swap strategies, validation, OOB updates, and server-side patterns for Python apps using templates.
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   Rich · oornnery bundle

   Terminal UX with Rich -- console setup, tables, panels, progress, logging, tracebacks, live updates. Load when building polished CLI output.
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   Hooks · oornnery bundle

   Hook design and maintenance for local automation. Use when creating, renaming, wiring, reviewing, or debugging hooks, hook matchers, JSON payload handling, lifecycle reminders, autofix behavior, or safety gates.
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   Httpx · oornnery bundle

   HTTPX client patterns for Python services, scripts, and applications. Covers client lifetime, sync and async usage, timeouts, streaming, auth, retries, error handling, and testing with mock transports. Load when working with outbound HTTP in Python.
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    Design · oornnery bundle

    Design guidance for APIs, user interfaces, and BFF boundaries. Load when shaping external contracts, response models, component systems, accessibility, or frontend/backend boundaries.
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    Jinja2 · oornnery bundle

    Jinja2 template patterns for Python. Syntax, inheritance, includes, macros, filters, loops, whitespace, context, escaping, safe server-rendered HTML.
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    Polars · oornnery bundle

    Polars DataFrame patterns for Python data processing. Covers the expression API, lazy evaluation, grouping, joins, window functions, CSV and Parquet I/O, performance, and pandas migration guidance.
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    Python · oornnery bundle

    Python guidance for project onboarding, uv, typing, testing, async, configuration, packaging, observability, resilience, resource management, FastAPI conventions, and common debug/build-fix patterns. Load when writing, reviewing, debugging, or maintaining Python code.
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    Quality · oornnery bundle

    Quality guidance for TDD and root cause analysis. Load when preventing regressions, shaping behavior through tests, or diagnosing failures.
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    Textual · oornnery bundle

    Textual patterns for building and testing terminal UIs in Python. Covers app structure, widgets, layout, styling, bindings, focus, screens, and headless testing with `run_test()` and the Pilot API.
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    Security · oornnery bundle

    Security review, threat modeling, and secure-by-default guidance. Load when writing code with security in mind, reviewing changes for vulnerabilities, auditing risk, or producing a threat model.
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    Sqlmodel · oornnery bundle

    SQLModel persistence patterns for Python services and applications. Covers model design, async sessions, relationships, Alembic migrations, query optimization, N+1 prevention, and production-safe schema changes. Load when working with SQLModel, Alembic, relationships, async database layers, or SQLAlchemy-backed persistence in Python.
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    Uv Script · oornnery

    Build, review, or validate standalone Python scripts run with uv inline metadata. Use for one-file automation, operational scripts, script dependencies, shebangs, idempotency, safety, representative runs, and promoting scripts to packages.
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    Python CLI · oornnery

    Build, review, or validate Python command-line applications and terminal tools. Use for argparse, Typer, Rich, Textual-adjacent CLI UX, stdout/stderr contracts, exit codes, automation-friendly flags, help output, and CLI tests.
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    Python Web · oornnery bundle

    Plan, sell, design, and implement Python/HTML-first web apps with FastAPI, Jinja2, Tailwind, HTMX/Alpine when useful, Pydantic, SQLModel, Alembic, SQLite/Postgres, pytest, ruff, ty, and uv.
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    Verification · oornnery

    Verification
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    Agent Harness · oornnery

    Build, review, or validate AI agent harnesses and runtimes. Use for prompt assembly, context builders, memory, tools, permissions, approvals, model providers, turn runners, sessions, hooks, traces, evals, replay, and operational safety.
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    Project State · oornnery

    Manage lightweight project state files such as SPEC.md, DESIGN.md, TODO.md, .spec/, and .mem/. Use when starting multi-step work, planning features, recording decisions, updating next steps, preserving cross-session context, or preparing handoff notes.
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    Skill Builder · oornnery

    Create or refactor local skills with clear triggers and low context overhead. Use when adding a new skill, reorganizing a skill into references, reducing duplication between skills, or improving skill quality and taxonomy.
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    Python Library · oornnery

    Build, review, or validate Python packages and libraries where public API stability, packaging metadata, imports, examples, changelogs, build output, and compatibility matter.
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    Typescript Web · oornnery bundle

    Plan, sell, design, and implement TypeScript web apps with React Router Framework Mode, Vite, Hono, Zod, Drizzle, SQLite/Supabase, Tailwind, shadcn/ui, lucide-react, Vitest, and Playwright.
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    Building Agents · oornnery bundle

    Building tool-using LLM agents in Python -- runtime context, prompt shape, tools, validation, parsing, context reduction, memory, delegation. Load when designing or implementing agents, ReAct loops, or multi-agent systems.
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