Python skills

This skill helps you integrate Honcho memory and social cognition into codebases, enabling persistent context, peer management, and dialectic chat endpoints.

This skill enforces test-first development by guiding you to write failing tests before code, ensuring correct behavior and reliable refactoring.

This skill lets you manage Obsidian vaults from the command line, enabling rapid note creation, searches, and plugin debugging.

This skill helps you plan, break down, and organize complex tasks using on-disk planning files and templates to improve traceability.

This skill helps you create, edit, analyze, and automate PowerPoint presentations (.pptx) using Python with design-aware, template-based workflows.

This skill predicts protein structures with modern ML models (AlphaFold3, ESMFold, Chai-1, Boltz-1) and compares outcomes across methods.

This skill guides you through creating a new agent skill following the Agent Skills specification, including naming, tier selection, and registration.

This skill performs high-confidence security code reviews, identifying exploitable patterns and attacker-controlled input to report critical findings with

This skill helps you audit Django access control and IDOR risks by tracing authorization flows and identifying gaps in viewsets, queries, and permissions.

This skill converts AI findings into deterministic lint rules that reliably catch exact AST patterns across Python projects.

This skill performs code reviews following Sentry practices, assessing security, performance, testing, and design to improve code quality.

This skill analyzes a repository to generate Claude Code settings.json read-only permissions tailored to detected tech stack and tools.

This skill helps you maintain AGENTS.md concisely by referencing local skills and applying minimal, header-driven documentation guidelines.

This skill helps you deploy Airflow DAGs and projects to production using Astro or Docker/Kubernetes CI/CD, streamlining deployment strategies.

This skill guides you to annotate Airflow tasks with inlets and outlets to capture data lineage for datasets and assets.

This skill enables human-in-the-loop decision gates in Airflow by managing approvals, forms, and branching through HITL operators for deferrable workflows.

This skill helps you test, debug, and fix Airflow DAGs iteratively, guiding you through trigger, diagnosis, and retest cycles.

This skill analyzes downstream data impacts and identifies blast radius before changes, detailing affected tables, DAGs, dashboards, and owners.

This skill guides you in authoring and validating Airflow DAGs using af CLI, applying best practices and reliable debugging workflows.

This skill performs comprehensive DAG failure diagnosis and root cause analysis for Airflow pipelines, delivering actionable remediation and prevention

This skill traces upstream data lineage by identifying sources, DAGs, and transformations to reveal data origins and feeding paths.