pymodel
Official@PyModel · United States of America
AI, LLM, and machine learning solutions, by Pythoughts. Think first, then code.
Agent Skills by pymodel
Showing 22 vetted skills indexed across 1 GitHub repositories.
PyModelpythinker-webbridge
Control a real browser via a local HTTP daemon to navigate, click, fill, and screenshot websites.
PyModelwrite-tui
Guides writing and modifying terminal UI components, dialogs, and themes in pythinker-code.
PyModelgen-docs
Update VitePress user documentation after code changes affecting product behavior.
PyModelstop-slop
Detect and remove AI writing patterns from prose during drafting and editing.
PyModelrelease
Diagnose and recover pythinker-code release lanes across changesets, npm OIDC, desktop, VS Code, CDN, and Homebrew.
PyModelgen-changesets
Generates changeset files with correct package, bump level, and wording for the pythinker-code repository.
PyModelopentui
Build terminal user interfaces with the OpenTUI core, components, and framework bindings.
PyModelsync-changelog
Syncs the CLI package changelog into the docs-site changelog and opens a PR.
PyModelagent-core-review
Reviews code and tests in packages/agent-core-v2 using abstraction-level and contract-testing lenses.
PyModelworktree-status
Audit git worktrees for dirty state and merge status against main.
PyModeltui-design-system
Provides framework-agnostic design patterns for building terminal user interfaces.
PyModelagent-core-dev
Guides development of the DI and Scope-based agent-core-v2 engine through staged workflows.
PyModelgitnexus-refactoring
Automates safe code renaming, extraction, and restructuring using GitNexus dependency graph analysis.
PyModelgitnexus-debugging
Trace bugs and errors through code execution flows using GitNexus graph queries.
PyModelgitnexus-exploring
Explore codebase architecture and trace execution flows using GitNexus indexed repositories.
PyModelgitnexus-guide
Reference GitNexus MCP tools, resources, and knowledge graph schema for code intelligence queries.
PyModelgitnexus-cli
Runs GitNexus CLI commands to index repositories, check status, and generate wikis.
PyModelgitnexus-impact-analysis
Analyzes code change blast radius using dependency graphs and execution flow mapping.
PyModelslop
Reviews code functions for single-level-of-abstraction violations and layered error handling.
PyModelsub-skill
Reorganize skill inventories into hierarchical sub-skill bundles with backups.
PyModelconsolidate
Moves approved skills into a parent bundle with timestamped backups of every modified directory.
PyModelreview
Analyzes the skill inventory and proposes candidate groups for sub-skill consolidation.
Frequently Asked Questions About pymodel
FAQPage SchemaWhat tasks can I accomplish with PyModel's Pythinker skills?▼
You can control a real browser with live login sessions, build terminal UIs with OpenTUI or framework-agnostic design patterns, manage changesets and releases in a TSC monorepo, audit git worktrees, and use GitNexus for code exploration, debugging, refactoring, and impact analysis.
Who are PyModel's skills designed for?▼
They target software engineers maintaining the pythinker-code monorepo and its agent-core-v2 DI engine, plus developers building terminal interfaces, writing contract-driven tests, reviewing code with the single-level-of-abstraction lens, or needing browser interaction and codebase knowledge-graph querying.
How do the GitNexus skills work in practice?▼
GitNexus skills index a repository into a knowledge graph via its CLI, then let you query architecture, trace execution flows, run impact analysis before edits, and perform safe renames, extractions, and restructuring. Dedicated skills cover exploring, debugging, refactoring, and wiki generation.
What does the release skill cover for pythinker-code?▼
It covers the full changesets flow, the ci release-packages version PR, release.yml anatomy, npm Trusted Publishing via OIDC, native assets, brew tap, CDN redeploy, and their failure modes. Companion skills generate changesets and sync the changelog into docs after release.
Are there prerequisites for using the agent-core-v2 development skills?▼
Yes. The agent-core-dev and agent-core-review skills apply only to packages/agent-core-v2, the DI × Scope engine, not the legacy agent-core package. You work within its orient, design, implement, test, verify stages, including LifecycleScope selection, DI wiring, and server-v2 wire compatibility.